From 2aa741ed09eb1312190036de099e861a4fa7620b Mon Sep 17 00:00:00 2001
From: overcuriousity <overcuriousity@posteo.org>
Date: Fri, 8 Aug 2025 10:57:00 +0200
Subject: [PATCH] content updates, yaml editor

---
 .astro/data-store.json |      2 +-
 data/embeddings.json   | 261454 +++++++++++++++++++-------------------
 src/data/tools.yaml    |    948 +-
 tools-yaml-editor.html |   1908 +
 4 files changed, 133118 insertions(+), 131194 deletions(-)
 create mode 100644 tools-yaml-editor.html

diff --git a/.astro/data-store.json b/.astro/data-store.json
index e8d169a..c4d4215 100644
--- a/.astro/data-store.json
+++ b/.astro/data-store.json
@@ -1 +1 @@
-[["Map",1,2,7,8],"meta::meta",["Map",3,4,5,6],"astro-version","5.12.8","astro-config-digest","{\"root\":{},\"srcDir\":{},\"publicDir\":{},\"outDir\":{},\"cacheDir\":{},\"compressHTML\":true,\"base\":\"/\",\"trailingSlash\":\"ignore\",\"output\":\"server\",\"scopedStyleStrategy\":\"attribute\",\"build\":{\"format\":\"directory\",\"client\":{},\"server\":{},\"assets\":\"_astro\",\"serverEntry\":\"entry.mjs\",\"redirects\":true,\"inlineStylesheets\":\"auto\",\"concurrency\":1},\"server\":{\"open\":false,\"host\":true,\"port\":4321,\"streaming\":true,\"allowedHosts\":[]},\"redirects\":{},\"image\":{\"endpoint\":{\"route\":\"/_image\",\"entrypoint\":\"astro/assets/endpoint/node\"},\"service\":{\"entrypoint\":\"astro/assets/services/sharp\",\"config\":{}},\"domains\":[],\"remotePatterns\":[],\"responsiveStyles\":false},\"devToolbar\":{\"enabled\":true},\"markdown\":{\"syntaxHighlight\":{\"type\":\"shiki\",\"excludeLangs\":[\"math\"]},\"shikiConfig\":{\"langs\":[],\"langAlias\":{},\"theme\":\"github-dark\",\"themes\":{},\"wrap\":false,\"transformers\":[]},\"remarkPlugins\":[],\"rehypePlugins\":[],\"remarkRehype\":{},\"gfm\":true,\"smartypants\":true},\"security\":{\"checkOrigin\":true},\"env\":{\"schema\":{},\"validateSecrets\":false},\"experimental\":{\"clientPrerender\":false,\"contentIntellisense\":false,\"headingIdCompat\":false,\"preserveScriptOrder\":false,\"liveContentCollections\":false,\"csp\":false,\"rawEnvValues\":false},\"legacy\":{\"collections\":false},\"session\":{\"driver\":\"fs-lite\",\"options\":{\"base\":\"/var/home/user01/Projekte/forensic-pathways/node_modules/.astro/sessions\"}}}","knowledgebase",["Map",9,10,100,101,149,150,223,224,288,289,344,345],"misp",{"id":9,"data":11,"body":35,"filePath":36,"digest":37,"rendered":38,"legacyId":99},{"title":12,"tool_name":13,"description":14,"last_updated":15,"author":16,"difficulty":17,"categories":18,"tags":24,"sections":31,"review_status":34},"MISP - Plattform für Threat Intelligence Sharing","MISP","Das Rückgrat des modernen Threat-Intelligence-Sharings mit über 40.000 aktiven Instanzen weltweit.",["Date","2025-07-20T00:00:00.000Z"],"Claude 4 Sonnet","intermediate",[19,20,21,22,23],"incident-response","static-investigations","malware-analysis","network-forensics","cloud-forensics",[25,26,27,28,29,30],"web-based","threat-intelligence","api","correlation","ioc-sharing","automation",{"overview":32,"installation":32,"configuration":32,"usage_examples":32,"best_practices":32,"troubleshooting":32,"advanced_topics":33},true,false,"published","> **⚠️ Hinweis**: Dies ist ein vorläufiger, KI-generierter Knowledgebase-Eintrag. Wir freuen uns über Verbesserungen und Ergänzungen durch die Community!\n\n\n# Übersicht\n\n**MISP (Malware Information Sharing Platform & Threat Sharing)** ist eine freie Open-Source-Plattform zur strukturierten Erfassung, Speicherung, Analyse und gemeinsamen Nutzung von Cyber-Bedrohungsdaten. Mit über 40.000 Instanzen weltweit ist MISP der De-facto-Standard für den Austausch von Indicators of Compromise (IoCs) und Threat Intelligence zwischen CERTs, SOCs, Strafverfolgungsbehörden und anderen sicherheitsrelevanten Organisationen.\n\nDie föderierte Architektur ermöglicht einen kontrollierten, dezentralen Austausch von Informationen über vertrauenswürdige Partner hinweg. Durch Taxonomien, Tags und integrierte APIs ist eine automatische Anreicherung, Korrelation und Verarbeitung von Informationen in SIEMs, Firewalls oder Endpoint-Lösungen möglich.\n\n## Installation\n\n### Voraussetzungen\n\n- **Server-Betriebssystem:** Linux (empfohlen: Debian/Ubuntu)\n- **Abhängigkeiten:** MariaDB/MySQL, PHP, Apache/Nginx, Redis\n- **Ressourcen:** Mindestens 4 GB RAM, SSD empfohlen\n\n### Installationsschritte\n\n```bash\n# Beispiel für Debian/Ubuntu:\nsudo apt update && sudo apt install -y curl gnupg git python3 python3-pip redis-server mariadb-server apache2 php libapache2-mod-php\n\n# MISP klonen\ngit clone https://github.com/MISP/MISP.git /var/www/MISP\n\n# Setup-Skript nutzen\ncd /var/www/MISP && bash INSTALL/INSTALL.debian.sh\n````\n\nWeitere Details: [Offizielle Installationsanleitung](https://misp.github.io/MISP/INSTALL.debian/)\n\n## Konfiguration\n\n### Webserver\n\n* HTTPS aktivieren (Let's Encrypt oder Reverse Proxy)\n* PHP-Konfiguration anpassen (`upload_max_filesize`, `memory_limit`, `post_max_size`)\n\n### Benutzerrollen\n\n* Administrator, Org-Admin, Analyst etc.\n* Zugriffsbeschränkungen nach Organisation/Feed definierbar\n\n### Feeds und Galaxies\n\n* Aktivierung von Feeds (z. B. CIRCL, Abuse.ch, OpenCTI)\n* Nutzung von Galaxies zur Klassifizierung (APT-Gruppen, Malware-Familien)\n\n## Verwendungsbeispiele\n\n### Beispiel 1: Import von IoCs aus externem Feed\n\n1. Feed aktivieren unter **Administration → List Feeds**\n2. Feed synchronisieren\n3. Ereignisse durchsuchen, analysieren, ggf. mit eigenen Daten korrelieren\n\n### Beispiel 2: Automatisierte Anbindung an SIEM\n\n* REST-API-Token erstellen\n* API-Calls zur Abfrage neuer Events (z. B. mit Python, Logstash oder MISP Workbench)\n* Integration in Security-Systeme über JSON/STIX export\n\n## Best Practices\n\n* Regelmäßige Backups der Datenbank\n* Taxonomien konsistent verwenden\n* Nutzung der Sighting-Funktion zur Validierung von IoCs\n* Vertrauensstufen (TLP, PAP) korrekt setzen\n* Nicht nur konsumieren – auch teilen!\n\n## Troubleshooting\n\n### Problem: MISP-Feeds laden nicht\n\n**Lösung:**\n\n* Internetverbindung prüfen\n* Cronjobs aktiv?\n* Logs prüfen: `/var/www/MISP/app/tmp/logs/error.log`\n\n### Problem: API gibt 403 zurück\n\n**Lösung:**\n\n* Ist der API-Key korrekt und aktiv?\n* Rechte des Benutzers überprüfen\n* IP-Filter im MISP-Backend beachten\n\n### Problem: Hohe Datenbanklast\n\n**Lösung:**\n\n* Indizes optimieren\n* Redis aktivieren\n* Alte Events regelmäßig archivieren oder löschen\n\n## Weiterführende Themen\n\n* STIX2-Import/Export\n* Erweiterungen mit MISP Modules (z. B. für Virustotal, YARA)\n* Föderierte Netzwerke und Community-Portale\n* Integration mit OpenCTI oder TheHive\n\n---\n\n**Links:**\n\n* 🌐 [Offizielle Projektseite](https://misp-project.org/)\n* 📦 [CC24-MISP-Instanz](https://misp.cc24.dev)\n* 📊 [Status-Monitoring](https://status.mikoshi.de/api/badge/34/status)\n\nLizenz: **AGPL-3.0**","src/content/knowledgebase/misp.md","35930fa919a46964",{"html":39,"metadata":40},"\u003Cblockquote>\n\u003Cp>\u003Cstrong>⚠️ Hinweis\u003C/strong>: Dies ist ein vorläufiger, KI-generierter Knowledgebase-Eintrag. Wir freuen uns über Verbesserungen und Ergänzungen durch die Community!\u003C/p>\n\u003C/blockquote>\n\u003Ch1 id=\"übersicht\">Übersicht\u003C/h1>\n\u003Cp>\u003Cstrong>MISP (Malware Information Sharing Platform &#x26; Threat Sharing)\u003C/strong> ist eine freie Open-Source-Plattform zur strukturierten Erfassung, Speicherung, Analyse und gemeinsamen Nutzung von Cyber-Bedrohungsdaten. Mit über 40.000 Instanzen weltweit ist MISP der De-facto-Standard für den Austausch von Indicators of Compromise (IoCs) und Threat Intelligence zwischen CERTs, SOCs, Strafverfolgungsbehörden und anderen sicherheitsrelevanten Organisationen.\u003C/p>\n\u003Cp>Die föderierte Architektur ermöglicht einen kontrollierten, dezentralen Austausch von Informationen über vertrauenswürdige Partner hinweg. Durch Taxonomien, Tags und integrierte APIs ist eine automatische Anreicherung, Korrelation und Verarbeitung von Informationen in SIEMs, Firewalls oder Endpoint-Lösungen möglich.\u003C/p>\n\u003Ch2 id=\"installation\">Installation\u003C/h2>\n\u003Ch3 id=\"voraussetzungen\">Voraussetzungen\u003C/h3>\n\u003Cul>\n\u003Cli>\u003Cstrong>Server-Betriebssystem:\u003C/strong> Linux (empfohlen: Debian/Ubuntu)\u003C/li>\n\u003Cli>\u003Cstrong>Abhängigkeiten:\u003C/strong> MariaDB/MySQL, PHP, Apache/Nginx, Redis\u003C/li>\n\u003Cli>\u003Cstrong>Ressourcen:\u003C/strong> Mindestens 4 GB RAM, SSD empfohlen\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"installationsschritte\">Installationsschritte\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Beispiel für Debian/Ubuntu:\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> update\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> &#x26;&#x26; \u003C/span>\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> install\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -y\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> curl\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> gnupg\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> git\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> python3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> python3-pip\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> redis-server\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mariadb-server\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apache2\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> php\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> libapache2-mod-php\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># MISP klonen\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">git\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> clone\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> https://github.com/MISP/MISP.git\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /var/www/MISP\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Setup-Skript nutzen\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">cd\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /var/www/MISP\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> &#x26;&#x26; \u003C/span>\u003Cspan style=\"color:#B392F0\">bash\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> INSTALL/INSTALL.debian.sh\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Cp>Weitere Details: \u003Ca href=\"https://misp.github.io/MISP/INSTALL.debian/\">Offizielle Installationsanleitung\u003C/a>\u003C/p>\n\u003Ch2 id=\"konfiguration\">Konfiguration\u003C/h2>\n\u003Ch3 id=\"webserver\">Webserver\u003C/h3>\n\u003Cul>\n\u003Cli>HTTPS aktivieren (Let’s Encrypt oder Reverse Proxy)\u003C/li>\n\u003Cli>PHP-Konfiguration anpassen (\u003Ccode>upload_max_filesize\u003C/code>, \u003Ccode>memory_limit\u003C/code>, \u003Ccode>post_max_size\u003C/code>)\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"benutzerrollen\">Benutzerrollen\u003C/h3>\n\u003Cul>\n\u003Cli>Administrator, Org-Admin, Analyst etc.\u003C/li>\n\u003Cli>Zugriffsbeschränkungen nach Organisation/Feed definierbar\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"feeds-und-galaxies\">Feeds und Galaxies\u003C/h3>\n\u003Cul>\n\u003Cli>Aktivierung von Feeds (z. B. CIRCL, Abuse.ch, OpenCTI)\u003C/li>\n\u003Cli>Nutzung von Galaxies zur Klassifizierung (APT-Gruppen, Malware-Familien)\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"verwendungsbeispiele\">Verwendungsbeispiele\u003C/h2>\n\u003Ch3 id=\"beispiel-1-import-von-iocs-aus-externem-feed\">Beispiel 1: Import von IoCs aus externem Feed\u003C/h3>\n\u003Col>\n\u003Cli>Feed aktivieren unter \u003Cstrong>Administration → List Feeds\u003C/strong>\u003C/li>\n\u003Cli>Feed synchronisieren\u003C/li>\n\u003Cli>Ereignisse durchsuchen, analysieren, ggf. mit eigenen Daten korrelieren\u003C/li>\n\u003C/ol>\n\u003Ch3 id=\"beispiel-2-automatisierte-anbindung-an-siem\">Beispiel 2: Automatisierte Anbindung an SIEM\u003C/h3>\n\u003Cul>\n\u003Cli>REST-API-Token erstellen\u003C/li>\n\u003Cli>API-Calls zur Abfrage neuer Events (z. B. mit Python, Logstash oder MISP Workbench)\u003C/li>\n\u003Cli>Integration in Security-Systeme über JSON/STIX export\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"best-practices\">Best Practices\u003C/h2>\n\u003Cul>\n\u003Cli>Regelmäßige Backups der Datenbank\u003C/li>\n\u003Cli>Taxonomien konsistent verwenden\u003C/li>\n\u003Cli>Nutzung der Sighting-Funktion zur Validierung von IoCs\u003C/li>\n\u003Cli>Vertrauensstufen (TLP, PAP) korrekt setzen\u003C/li>\n\u003Cli>Nicht nur konsumieren – auch teilen!\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"troubleshooting\">Troubleshooting\u003C/h2>\n\u003Ch3 id=\"problem-misp-feeds-laden-nicht\">Problem: MISP-Feeds laden nicht\u003C/h3>\n\u003Cp>\u003Cstrong>Lösung:\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Internetverbindung prüfen\u003C/li>\n\u003Cli>Cronjobs aktiv?\u003C/li>\n\u003Cli>Logs prüfen: \u003Ccode>/var/www/MISP/app/tmp/logs/error.log\u003C/code>\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"problem-api-gibt-403-zurück\">Problem: API gibt 403 zurück\u003C/h3>\n\u003Cp>\u003Cstrong>Lösung:\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Ist der API-Key korrekt und aktiv?\u003C/li>\n\u003Cli>Rechte des Benutzers überprüfen\u003C/li>\n\u003Cli>IP-Filter im MISP-Backend beachten\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"problem-hohe-datenbanklast\">Problem: Hohe Datenbanklast\u003C/h3>\n\u003Cp>\u003Cstrong>Lösung:\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Indizes optimieren\u003C/li>\n\u003Cli>Redis aktivieren\u003C/li>\n\u003Cli>Alte Events regelmäßig archivieren oder löschen\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"weiterführende-themen\">Weiterführende Themen\u003C/h2>\n\u003Cul>\n\u003Cli>STIX2-Import/Export\u003C/li>\n\u003Cli>Erweiterungen mit MISP Modules (z. B. für Virustotal, YARA)\u003C/li>\n\u003Cli>Föderierte Netzwerke und Community-Portale\u003C/li>\n\u003Cli>Integration mit OpenCTI oder TheHive\u003C/li>\n\u003C/ul>\n\u003Chr>\n\u003Cp>\u003Cstrong>Links:\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>🌐 \u003Ca href=\"https://misp-project.org/\">Offizielle Projektseite\u003C/a>\u003C/li>\n\u003Cli>📦 \u003Ca href=\"https://misp.cc24.dev\">CC24-MISP-Instanz\u003C/a>\u003C/li>\n\u003Cli>📊 \u003Ca href=\"https://status.mikoshi.de/api/badge/34/status\">Status-Monitoring\u003C/a>\u003C/li>\n\u003C/ul>\n\u003Cp>Lizenz: \u003Cstrong>AGPL-3.0\u003C/strong>\u003C/p>",{"headings":41,"localImagePaths":96,"remoteImagePaths":97,"frontmatter":11,"imagePaths":98},[42,46,50,54,57,60,63,66,69,72,75,78,81,84,87,90,93],{"depth":43,"slug":44,"text":45},1,"übersicht","Übersicht",{"depth":47,"slug":48,"text":49},2,"installation","Installation",{"depth":51,"slug":52,"text":53},3,"voraussetzungen","Voraussetzungen",{"depth":51,"slug":55,"text":56},"installationsschritte","Installationsschritte",{"depth":47,"slug":58,"text":59},"konfiguration","Konfiguration",{"depth":51,"slug":61,"text":62},"webserver","Webserver",{"depth":51,"slug":64,"text":65},"benutzerrollen","Benutzerrollen",{"depth":51,"slug":67,"text":68},"feeds-und-galaxies","Feeds und Galaxies",{"depth":47,"slug":70,"text":71},"verwendungsbeispiele","Verwendungsbeispiele",{"depth":51,"slug":73,"text":74},"beispiel-1-import-von-iocs-aus-externem-feed","Beispiel 1: Import von IoCs aus externem Feed",{"depth":51,"slug":76,"text":77},"beispiel-2-automatisierte-anbindung-an-siem","Beispiel 2: Automatisierte Anbindung an SIEM",{"depth":47,"slug":79,"text":80},"best-practices","Best Practices",{"depth":47,"slug":82,"text":83},"troubleshooting","Troubleshooting",{"depth":51,"slug":85,"text":86},"problem-misp-feeds-laden-nicht","Problem: MISP-Feeds laden nicht",{"depth":51,"slug":88,"text":89},"problem-api-gibt-403-zurück","Problem: API gibt 403 zurück",{"depth":51,"slug":91,"text":92},"problem-hohe-datenbanklast","Problem: Hohe Datenbanklast",{"depth":47,"slug":94,"text":95},"weiterführende-themen","Weiterführende Themen",[],[],[],"misp.md","regular-expressions-regex",{"id":100,"data":102,"body":116,"filePath":117,"digest":118,"rendered":119,"legacyId":148},{"title":103,"tool_name":104,"description":105,"last_updated":106,"author":16,"difficulty":17,"categories":107,"tags":109,"sections":115,"review_status":34},"Regular Expressions (Regex) – Musterbasierte Textanalyse","Regular Expressions (Regex)","Pattern matching language für Suche, Extraktion und Manipulation von Text in forensischen Analysen.",["Date","2025-07-20T00:00:00.000Z"],[19,21,22,108],"fraud-investigation",[110,111,112,113,114],"pattern-matching","text-processing","log-analysis","string-manipulation","search-algorithms",{"overview":32,"installation":33,"configuration":33,"usage_examples":32,"best_practices":32,"troubleshooting":33,"advanced_topics":32},"> **⚠️ Hinweis**: Dies ist ein vorläufiger, KI-generierter Knowledgebase-Eintrag. Wir freuen uns über Verbesserungen und Ergänzungen durch die Community!\n\n\n# Übersicht\n\n**Regular Expressions (Regex)** sind ein leistungsfähiges Werkzeug zur Erkennung, Extraktion und Transformation von Zeichenfolgen anhand vordefinierter Muster. In der digitalen Forensik sind Regex-Ausdrücke unverzichtbar: Sie helfen beim Auffinden von IP-Adressen, Hash-Werten, Dateipfaden, Malware-Signaturen oder Kreditkartennummern in großen Mengen unstrukturierter Daten wie Logdateien, Netzwerktraces oder Memory Dumps.\n\nRegex ist nicht auf eine bestimmte Plattform oder Software beschränkt – es wird in nahezu allen gängigen Programmiersprachen, Texteditoren und forensischen Tools unterstützt.\n\n## Verwendungsbeispiele\n\n### 1. IP-Adressen extrahieren\n\n```regex\n\\b(?:\\d{1,3}\\.){3}\\d{1,3}\\b\n````\n\nVerwendung:\n\n* Finden von IP-Adressen in Firewall-Logs oder Packet Captures.\n* Beispiel-Zeile:\n\n  ```\n  Connection from 192.168.1.101 to port 443 established\n  ```\n\n### 2. E-Mail-Adressen identifizieren\n\n```regex\n[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}\n```\n\nVerwendung:\n\n* Erkennung von kompromittierten Accounts in Phishing-E-Mails.\n* Analyse von Useraktivitäten oder Kommunikationsverläufen.\n\n### 3. Hash-Werte erkennen (z. B. SHA-256)\n\n```regex\n\\b[A-Fa-f0-9]{64}\\b\n```\n\nVerwendung:\n\n* Extraktion von Malware-Hashes aus Memory Dumps oder YARA-Logs.\n\n### 4. Zeitstempel in Logdateien extrahieren\n\n```regex\n\\d{4}-\\d{2}-\\d{2}[ T]\\d{2}:\\d{2}:\\d{2}\n```\n\nVerwendung:\n\n* Zeitsensitive Korrelationsanalysen (z. B. bei Intrusion Detection oder Timeline-Rekonstruktionen).\n\n## Best Practices\n\n* **Regex testen**: Nutze Plattformen wie [regexr.com](https://regexr.com/) oder [regex101.com](https://regex101.com/) zur Validierung.\n* **Performance beachten**: Komplexe Ausdrücke können ineffizient sein und Systeme verlangsamen – verwende Lazy Quantifiers (`*?`, `+?`) bei Bedarf.\n* **Escape-Zeichen korrekt anwenden**: Spezielle Zeichen wie `.` oder `\\` müssen bei Bedarf mit `\\\\` oder `\\.` maskiert werden.\n* **Portabilität prüfen**: Unterschiedliche Regex-Engines (z. B. Python `re`, PCRE, JavaScript) interpretieren manche Syntax leicht unterschiedlich.\n* **Lesbarkeit fördern**: Verwende benannte Gruppen (`(?P\u003Cname>...)`) und Kommentare (`(?x)`), um reguläre Ausdrücke besser wartbar zu machen.\n\n## Weiterführende Themen\n\n### Lookaheads und Lookbehinds\n\nMit **Lookaheads** (`(?=...)`) und **Lookbehinds** (`(?\u003C=...)`) können Bedingungen formuliert werden, ohne dass der Text Teil des Matchs wird.\n\nBeispiel: Alle `.exe`-Dateinamen **ohne** das Wort `safe` davor matchen:\n\n```regex\n(?\u003C!safe\\s)[\\w-]+\\.exe\n```\n\n### Regex in Forensik-Tools\n\n* **YARA**: Unterstützt Regex zur Erstellung von Malware-Signaturen.\n* **Wireshark**: Filtert Payloads anhand von Regex-ähnlicher Syntax.\n* **Splunk & ELK**: Verwenden Regex für Logparsing und Visualisierung.\n* **Volatility Plugins**: Extrahieren Artefakte mit Regex-basierten Scans.\n\n---\n\n> 🔤 **Regex ist ein universelles Werkzeug für Analysten, Ermittler und Entwickler, um versteckte Informationen schnell und flexibel aufzuspüren.**\n>\n> Nutze es überall dort, wo Textdaten eine Rolle spielen.","src/content/knowledgebase/regular-expressions-regex.md","247bcf48ebdc9ba0",{"html":120,"metadata":121},"\u003Cblockquote>\n\u003Cp>\u003Cstrong>⚠️ Hinweis\u003C/strong>: Dies ist ein vorläufiger, KI-generierter Knowledgebase-Eintrag. Wir freuen uns über Verbesserungen und Ergänzungen durch die Community!\u003C/p>\n\u003C/blockquote>\n\u003Ch1 id=\"übersicht\">Übersicht\u003C/h1>\n\u003Cp>\u003Cstrong>Regular Expressions (Regex)\u003C/strong> sind ein leistungsfähiges Werkzeug zur Erkennung, Extraktion und Transformation von Zeichenfolgen anhand vordefinierter Muster. In der digitalen Forensik sind Regex-Ausdrücke unverzichtbar: Sie helfen beim Auffinden von IP-Adressen, Hash-Werten, Dateipfaden, Malware-Signaturen oder Kreditkartennummern in großen Mengen unstrukturierter Daten wie Logdateien, Netzwerktraces oder Memory Dumps.\u003C/p>\n\u003Cp>Regex ist nicht auf eine bestimmte Plattform oder Software beschränkt – es wird in nahezu allen gängigen Programmiersprachen, Texteditoren und forensischen Tools unterstützt.\u003C/p>\n\u003Ch2 id=\"verwendungsbeispiele\">Verwendungsbeispiele\u003C/h2>\n\u003Ch3 id=\"1-ip-adressen-extrahieren\">1. IP-Adressen extrahieren\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"regex\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">\\b(?:\\d\u003C/span>\u003Cspan style=\"color:#F97583\">{1,3}\u003C/span>\u003Cspan style=\"color:#79B8FF\">\\.)\u003C/span>\u003Cspan style=\"color:#F97583\">{3}\u003C/span>\u003Cspan style=\"color:#79B8FF\">\\d\u003C/span>\u003Cspan style=\"color:#F97583\">{1,3}\u003C/span>\u003Cspan style=\"color:#79B8FF\">\\b\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Cp>Verwendung:\u003C/p>\n\u003Cul>\n\u003Cli>\n\u003Cp>Finden von IP-Adressen in Firewall-Logs oder Packet Captures.\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Beispiel-Zeile:\u003C/p>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"plaintext\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan>Connection from 192.168.1.101 to port 443 established\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"2-e-mail-adressen-identifizieren\">2. E-Mail-Adressen identifizieren\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"regex\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">[a-zA-Z0-9._%+-]\u003C/span>\u003Cspan style=\"color:#F97583\">+\u003C/span>\u003Cspan style=\"color:#DBEDFF\">@\u003C/span>\u003Cspan style=\"color:#79B8FF\">[a-zA-Z0-9.-]\u003C/span>\u003Cspan style=\"color:#F97583\">+\u003C/span>\u003Cspan style=\"color:#79B8FF\">\\.[a-zA-Z]\u003C/span>\u003Cspan style=\"color:#F97583\">{2,}\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Cp>Verwendung:\u003C/p>\n\u003Cul>\n\u003Cli>Erkennung von kompromittierten Accounts in Phishing-E-Mails.\u003C/li>\n\u003Cli>Analyse von Useraktivitäten oder Kommunikationsverläufen.\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"3-hash-werte-erkennen-zb-sha-256\">3. Hash-Werte erkennen (z. B. SHA-256)\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"regex\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">\\b[A-Fa-f0-9]\u003C/span>\u003Cspan style=\"color:#F97583\">{64}\u003C/span>\u003Cspan style=\"color:#79B8FF\">\\b\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Cp>Verwendung:\u003C/p>\n\u003Cul>\n\u003Cli>Extraktion von Malware-Hashes aus Memory Dumps oder YARA-Logs.\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"4-zeitstempel-in-logdateien-extrahieren\">4. Zeitstempel in Logdateien extrahieren\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"regex\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">\\d\u003C/span>\u003Cspan style=\"color:#F97583\">{4}\u003C/span>\u003Cspan style=\"color:#DBEDFF\">-\u003C/span>\u003Cspan style=\"color:#79B8FF\">\\d\u003C/span>\u003Cspan style=\"color:#F97583\">{2}\u003C/span>\u003Cspan style=\"color:#DBEDFF\">-\u003C/span>\u003Cspan style=\"color:#79B8FF\">\\d\u003C/span>\u003Cspan style=\"color:#F97583\">{2}\u003C/span>\u003Cspan style=\"color:#79B8FF\">[ T]\\d\u003C/span>\u003Cspan style=\"color:#F97583\">{2}\u003C/span>\u003Cspan style=\"color:#DBEDFF\">:\u003C/span>\u003Cspan style=\"color:#79B8FF\">\\d\u003C/span>\u003Cspan style=\"color:#F97583\">{2}\u003C/span>\u003Cspan style=\"color:#DBEDFF\">:\u003C/span>\u003Cspan style=\"color:#79B8FF\">\\d\u003C/span>\u003Cspan style=\"color:#F97583\">{2}\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Cp>Verwendung:\u003C/p>\n\u003Cul>\n\u003Cli>Zeitsensitive Korrelationsanalysen (z. B. bei Intrusion Detection oder Timeline-Rekonstruktionen).\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"best-practices\">Best Practices\u003C/h2>\n\u003Cul>\n\u003Cli>\u003Cstrong>Regex testen\u003C/strong>: Nutze Plattformen wie \u003Ca href=\"https://regexr.com/\">regexr.com\u003C/a> oder \u003Ca href=\"https://regex101.com/\">regex101.com\u003C/a> zur Validierung.\u003C/li>\n\u003Cli>\u003Cstrong>Performance beachten\u003C/strong>: Komplexe Ausdrücke können ineffizient sein und Systeme verlangsamen – verwende Lazy Quantifiers (\u003Ccode>*?\u003C/code>, \u003Ccode>+?\u003C/code>) bei Bedarf.\u003C/li>\n\u003Cli>\u003Cstrong>Escape-Zeichen korrekt anwenden\u003C/strong>: Spezielle Zeichen wie \u003Ccode>.\u003C/code> oder \u003Ccode>\\\u003C/code> müssen bei Bedarf mit \u003Ccode>\\\\\u003C/code> oder \u003Ccode>\\.\u003C/code> maskiert werden.\u003C/li>\n\u003Cli>\u003Cstrong>Portabilität prüfen\u003C/strong>: Unterschiedliche Regex-Engines (z. B. Python \u003Ccode>re\u003C/code>, PCRE, JavaScript) interpretieren manche Syntax leicht unterschiedlich.\u003C/li>\n\u003Cli>\u003Cstrong>Lesbarkeit fördern\u003C/strong>: Verwende benannte Gruppen (\u003Ccode>(?P&#x3C;name>...)\u003C/code>) und Kommentare (\u003Ccode>(?x)\u003C/code>), um reguläre Ausdrücke besser wartbar zu machen.\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"weiterführende-themen\">Weiterführende Themen\u003C/h2>\n\u003Ch3 id=\"lookaheads-und-lookbehinds\">Lookaheads und Lookbehinds\u003C/h3>\n\u003Cp>Mit \u003Cstrong>Lookaheads\u003C/strong> (\u003Ccode>(?=...)\u003C/code>) und \u003Cstrong>Lookbehinds\u003C/strong> (\u003Ccode>(?&#x3C;=...)\u003C/code>) können Bedingungen formuliert werden, ohne dass der Text Teil des Matchs wird.\u003C/p>\n\u003Cp>Beispiel: Alle \u003Ccode>.exe\u003C/code>-Dateinamen \u003Cstrong>ohne\u003C/strong> das Wort \u003Ccode>safe\u003C/code> davor matchen:\u003C/p>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"regex\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#F97583\">(?&#x3C;!\u003C/span>\u003Cspan style=\"color:#DBEDFF\">safe\u003C/span>\u003Cspan style=\"color:#79B8FF\">\\s\u003C/span>\u003Cspan style=\"color:#F97583\">)\u003C/span>\u003Cspan style=\"color:#79B8FF\">[\\w-]\u003C/span>\u003Cspan style=\"color:#F97583\">+\u003C/span>\u003Cspan style=\"color:#79B8FF\">\\.\u003C/span>\u003Cspan style=\"color:#DBEDFF\">exe\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"regex-in-forensik-tools\">Regex in Forensik-Tools\u003C/h3>\n\u003Cul>\n\u003Cli>\u003Cstrong>YARA\u003C/strong>: Unterstützt Regex zur Erstellung von Malware-Signaturen.\u003C/li>\n\u003Cli>\u003Cstrong>Wireshark\u003C/strong>: Filtert Payloads anhand von Regex-ähnlicher Syntax.\u003C/li>\n\u003Cli>\u003Cstrong>Splunk &#x26; ELK\u003C/strong>: Verwenden Regex für Logparsing und Visualisierung.\u003C/li>\n\u003Cli>\u003Cstrong>Volatility Plugins\u003C/strong>: Extrahieren Artefakte mit Regex-basierten Scans.\u003C/li>\n\u003C/ul>\n\u003Chr>\n\u003Cblockquote>\n\u003Cp>🔤 \u003Cstrong>Regex ist ein universelles Werkzeug für Analysten, Ermittler und Entwickler, um versteckte Informationen schnell und flexibel aufzuspüren.\u003C/strong>\u003C/p>\n\u003Cp>Nutze es überall dort, wo Textdaten eine Rolle spielen.\u003C/p>\n\u003C/blockquote>",{"headings":122,"localImagePaths":145,"remoteImagePaths":146,"frontmatter":102,"imagePaths":147},[123,124,125,128,131,134,137,138,139,142],{"depth":43,"slug":44,"text":45},{"depth":47,"slug":70,"text":71},{"depth":51,"slug":126,"text":127},"1-ip-adressen-extrahieren","1. IP-Adressen extrahieren",{"depth":51,"slug":129,"text":130},"2-e-mail-adressen-identifizieren","2. E-Mail-Adressen identifizieren",{"depth":51,"slug":132,"text":133},"3-hash-werte-erkennen-zb-sha-256","3. Hash-Werte erkennen (z. B. SHA-256)",{"depth":51,"slug":135,"text":136},"4-zeitstempel-in-logdateien-extrahieren","4. Zeitstempel in Logdateien extrahieren",{"depth":47,"slug":79,"text":80},{"depth":47,"slug":94,"text":95},{"depth":51,"slug":140,"text":141},"lookaheads-und-lookbehinds","Lookaheads und Lookbehinds",{"depth":51,"slug":143,"text":144},"regex-in-forensik-tools","Regex in Forensik-Tools",[],[],[],"regular-expressions-regex.md","kali-linux",{"id":149,"data":151,"body":166,"filePath":167,"digest":168,"rendered":169,"legacyId":222},{"title":152,"tool_name":153,"description":154,"last_updated":155,"author":16,"difficulty":17,"categories":156,"tags":159,"sections":165,"review_status":34},"Kali Linux - Die Hacker-Distribution für Forensik & Penetration Testing","Kali Linux","Leitfaden zur Installation, Nutzung und Best Practices für Kali Linux – die All-in-One-Plattform für Security-Profis.",["Date","2025-07-20T00:00:00.000Z"],[19,157,158],"forensics","penetration-testing",[160,161,158,162,163,164],"live-boot","tool-collection","forensics-suite","virtualization","arm-support",{"overview":32,"installation":32,"configuration":32,"usage_examples":32,"best_practices":32,"troubleshooting":32,"advanced_topics":32},"> **⚠️ Hinweis**: Dies ist ein vorläufiger, KI-generierter Knowledgebase-Eintrag. Wir freuen uns über Verbesserungen und Ergänzungen durch die Community!\n\n\n# Übersicht\n\nKali Linux ist eine auf Debian basierende Linux-Distribution, die speziell für Penetration Testing, digitale Forensik, Reverse Engineering und Incident Response entwickelt wurde. Mit über 600 vorinstallierten Tools ist sie ein unverzichtbares Werkzeug für Security-Experten, Ermittler und forensische Analysten. Die Live-Boot-Funktion erlaubt es, Systeme ohne Spuren zu hinterlassen zu analysieren – ideal für forensische Untersuchungen.\n\n## Installation\n\n### Option 1: Live-System (USB/DVD)\n\n1. ISO-Image von [kali.org](https://www.kali.org/get-kali/) herunterladen.\n2. Mit **Rufus** oder **balenaEtcher** auf einen USB-Stick schreiben.\n3. Vom USB-Stick booten (ggf. Boot-Reihenfolge im BIOS anpassen).\n4. Kali kann direkt ohne Installation im Live-Modus verwendet werden.\n\n### Option 2: Installation auf Festplatte\n\n1. ISO-Image booten und **Graphical Install** wählen.\n2. Schritt-für-Schritt durch den Installationsassistenten navigieren:\n   - Sprache, Zeitzone und Tastaturlayout auswählen\n   - Partitionierung konfigurieren (automatisch oder manuell)\n   - Benutzerkonten erstellen\n3. Nach Installation Neustart durchführen.\n\n### Option 3: Virtuelle Maschine (VM)\n\n- Offizielle VM-Images für VirtualBox und VMware von der [Kali-Website](https://www.kali.org/get-kali/#kali-virtual-machines)\n- Importieren, ggf. Netzwerkbrücke und Shared Folders aktivieren\n\n## Konfiguration\n\n### Netzwerkeinstellungen\n\n- Konfiguration über `nmtui` oder `/etc/network/interfaces`\n- VPN und Proxy-Integration über GUI oder Terminal\n\n### Updates & Paketquellen\n\n```bash\nsudo apt update && sudo apt full-upgrade\n````\n\n> Hinweis: `kali-rolling` ist die Standard-Distribution für kontinuierliche Updates.\n\n### Sprache & Lokalisierung\n\n```bash\nsudo dpkg-reconfigure locales\nsudo dpkg-reconfigure keyboard-configuration\n```\n\n## Verwendungsbeispiele\n\n### 1. Netzwerkscan mit Nmap\n\n```bash\nnmap -sS -T4 -A 192.168.1.0/24\n```\n\n### 2. Passwort-Cracking mit John the Ripper\n\n```bash\njohn --wordlist=/usr/share/wordlists/rockyou.txt hashes.txt\n```\n\n### 3. Forensik mit Autopsy\n\n```bash\nautopsy &\n```\n\n### 4. Android-Analyse mit MobSF (in Docker)\n\n```bash\ndocker pull opensecurity/mobile-security-framework-mobsf\ndocker run -it -p 8000:8000 mobsf\n```\n\n## Best Practices\n\n* Nutze immer **aktuelle Snapshots** oder VM-Clones vor gefährlichen Tests\n* Verwende separate Netzwerke (z. B. Host-only oder NAT) für Tests\n* Deaktiviere automatisches WLAN bei forensischen Analysen\n* Prüfe und aktualisiere regelmäßig Toolsets (`apt`, `git`, `pip`)\n* Halte deine ISO-Images versioniert für forensische Reproduzierbarkeit\n\n## Troubleshooting\n\n### Problem: Keine Internetverbindung nach Installation\n\n**Lösung:** Netzwerkadapter prüfen, ggf. mit `ifconfig` oder `ip a` überprüfen, DHCP aktivieren.\n\n### Problem: Tools fehlen nach Update\n\n**Lösung:** Tool-Gruppen wie `kali-linux-default` manuell nachinstallieren:\n\n```bash\nsudo apt install kali-linux-default\n```\n\n### Problem: „Permission Denied“ bei Tools\n\n**Lösung:** Root-Rechte nutzen oder mit `sudo` ausführen.\n\n## Weiterführende Themen\n\n* **Kustomisierung von Kali ISOs** mit `live-build`\n* **NetHunter**: Kali für mobile Geräte (Android)\n* **Kali Purple**: Defensive Security Suite\n* Integration mit **Cloud-Infrastrukturen** via WSL oder Azure\n\n---\n\n**Links & Ressourcen:**\n\n* Offizielle Website: [https://kali.org](https://kali.org/)\n* Dokumentation: [https://docs.kali.org/](https://docs.kali.org/)\n* GitLab Repo: [https://gitlab.com/kalilinux](https://gitlab.com/kalilinux)\n* Discord-Community: [https://discord.com/invite/kali-linux](https://discord.com/invite/kali-linux)","src/content/knowledgebase/kali-linux.md","09243ebc79d75dbc",{"html":170,"metadata":171},"\u003Cblockquote>\n\u003Cp>\u003Cstrong>⚠️ Hinweis\u003C/strong>: Dies ist ein vorläufiger, KI-generierter Knowledgebase-Eintrag. Wir freuen uns über Verbesserungen und Ergänzungen durch die Community!\u003C/p>\n\u003C/blockquote>\n\u003Ch1 id=\"übersicht\">Übersicht\u003C/h1>\n\u003Cp>Kali Linux ist eine auf Debian basierende Linux-Distribution, die speziell für Penetration Testing, digitale Forensik, Reverse Engineering und Incident Response entwickelt wurde. Mit über 600 vorinstallierten Tools ist sie ein unverzichtbares Werkzeug für Security-Experten, Ermittler und forensische Analysten. Die Live-Boot-Funktion erlaubt es, Systeme ohne Spuren zu hinterlassen zu analysieren – ideal für forensische Untersuchungen.\u003C/p>\n\u003Ch2 id=\"installation\">Installation\u003C/h2>\n\u003Ch3 id=\"option-1-live-system-usbdvd\">Option 1: Live-System (USB/DVD)\u003C/h3>\n\u003Col>\n\u003Cli>ISO-Image von \u003Ca href=\"https://www.kali.org/get-kali/\">kali.org\u003C/a> herunterladen.\u003C/li>\n\u003Cli>Mit \u003Cstrong>Rufus\u003C/strong> oder \u003Cstrong>balenaEtcher\u003C/strong> auf einen USB-Stick schreiben.\u003C/li>\n\u003Cli>Vom USB-Stick booten (ggf. Boot-Reihenfolge im BIOS anpassen).\u003C/li>\n\u003Cli>Kali kann direkt ohne Installation im Live-Modus verwendet werden.\u003C/li>\n\u003C/ol>\n\u003Ch3 id=\"option-2-installation-auf-festplatte\">Option 2: Installation auf Festplatte\u003C/h3>\n\u003Col>\n\u003Cli>ISO-Image booten und \u003Cstrong>Graphical Install\u003C/strong> wählen.\u003C/li>\n\u003Cli>Schritt-für-Schritt durch den Installationsassistenten navigieren:\n\u003Cul>\n\u003Cli>Sprache, Zeitzone und Tastaturlayout auswählen\u003C/li>\n\u003Cli>Partitionierung konfigurieren (automatisch oder manuell)\u003C/li>\n\u003Cli>Benutzerkonten erstellen\u003C/li>\n\u003C/ul>\n\u003C/li>\n\u003Cli>Nach Installation Neustart durchführen.\u003C/li>\n\u003C/ol>\n\u003Ch3 id=\"option-3-virtuelle-maschine-vm\">Option 3: Virtuelle Maschine (VM)\u003C/h3>\n\u003Cul>\n\u003Cli>Offizielle VM-Images für VirtualBox und VMware von der \u003Ca href=\"https://www.kali.org/get-kali/#kali-virtual-machines\">Kali-Website\u003C/a>\u003C/li>\n\u003Cli>Importieren, ggf. Netzwerkbrücke und Shared Folders aktivieren\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"konfiguration\">Konfiguration\u003C/h2>\n\u003Ch3 id=\"netzwerkeinstellungen\">Netzwerkeinstellungen\u003C/h3>\n\u003Cul>\n\u003Cli>Konfiguration über \u003Ccode>nmtui\u003C/code> oder \u003Ccode>/etc/network/interfaces\u003C/code>\u003C/li>\n\u003Cli>VPN und Proxy-Integration über GUI oder Terminal\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"updates--paketquellen\">Updates &#x26; Paketquellen\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> update\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> &#x26;&#x26; \u003C/span>\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> full-upgrade\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Cblockquote>\n\u003Cp>Hinweis: \u003Ccode>kali-rolling\u003C/code> ist die Standard-Distribution für kontinuierliche Updates.\u003C/p>\n\u003C/blockquote>\n\u003Ch3 id=\"sprache--lokalisierung\">Sprache &#x26; Lokalisierung\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> dpkg-reconfigure\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> locales\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> dpkg-reconfigure\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> keyboard-configuration\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"verwendungsbeispiele\">Verwendungsbeispiele\u003C/h2>\n\u003Ch3 id=\"1-netzwerkscan-mit-nmap\">1. Netzwerkscan mit Nmap\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">nmap\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -sS\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -T4\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -A\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> 192.168.1.0/24\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"2-passwort-cracking-mit-john-the-ripper\">2. Passwort-Cracking mit John the Ripper\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">john\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --wordlist=/usr/share/wordlists/rockyou.txt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> hashes.txt\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"3-forensik-mit-autopsy\">3. Forensik mit Autopsy\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">autopsy\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> &#x26;\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"4-android-analyse-mit-mobsf-in-docker\">4. Android-Analyse mit MobSF (in Docker)\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">docker\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> pull\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> opensecurity/mobile-security-framework-mobsf\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">docker\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> run\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -it\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -p\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> 8000:8000\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mobsf\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"best-practices\">Best Practices\u003C/h2>\n\u003Cul>\n\u003Cli>Nutze immer \u003Cstrong>aktuelle Snapshots\u003C/strong> oder VM-Clones vor gefährlichen Tests\u003C/li>\n\u003Cli>Verwende separate Netzwerke (z. B. Host-only oder NAT) für Tests\u003C/li>\n\u003Cli>Deaktiviere automatisches WLAN bei forensischen Analysen\u003C/li>\n\u003Cli>Prüfe und aktualisiere regelmäßig Toolsets (\u003Ccode>apt\u003C/code>, \u003Ccode>git\u003C/code>, \u003Ccode>pip\u003C/code>)\u003C/li>\n\u003Cli>Halte deine ISO-Images versioniert für forensische Reproduzierbarkeit\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"troubleshooting\">Troubleshooting\u003C/h2>\n\u003Ch3 id=\"problem-keine-internetverbindung-nach-installation\">Problem: Keine Internetverbindung nach Installation\u003C/h3>\n\u003Cp>\u003Cstrong>Lösung:\u003C/strong> Netzwerkadapter prüfen, ggf. mit \u003Ccode>ifconfig\u003C/code> oder \u003Ccode>ip a\u003C/code> überprüfen, DHCP aktivieren.\u003C/p>\n\u003Ch3 id=\"problem-tools-fehlen-nach-update\">Problem: Tools fehlen nach Update\u003C/h3>\n\u003Cp>\u003Cstrong>Lösung:\u003C/strong> Tool-Gruppen wie \u003Ccode>kali-linux-default\u003C/code> manuell nachinstallieren:\u003C/p>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> install\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> kali-linux-default\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"problem-permission-denied-bei-tools\">Problem: „Permission Denied“ bei Tools\u003C/h3>\n\u003Cp>\u003Cstrong>Lösung:\u003C/strong> Root-Rechte nutzen oder mit \u003Ccode>sudo\u003C/code> ausführen.\u003C/p>\n\u003Ch2 id=\"weiterführende-themen\">Weiterführende Themen\u003C/h2>\n\u003Cul>\n\u003Cli>\u003Cstrong>Kustomisierung von Kali ISOs\u003C/strong> mit \u003Ccode>live-build\u003C/code>\u003C/li>\n\u003Cli>\u003Cstrong>NetHunter\u003C/strong>: Kali für mobile Geräte (Android)\u003C/li>\n\u003Cli>\u003Cstrong>Kali Purple\u003C/strong>: Defensive Security Suite\u003C/li>\n\u003Cli>Integration mit \u003Cstrong>Cloud-Infrastrukturen\u003C/strong> via WSL oder Azure\u003C/li>\n\u003C/ul>\n\u003Chr>\n\u003Cp>\u003Cstrong>Links &#x26; Ressourcen:\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Offizielle Website: \u003Ca href=\"https://kali.org/\">https://kali.org\u003C/a>\u003C/li>\n\u003Cli>Dokumentation: \u003Ca href=\"https://docs.kali.org/\">https://docs.kali.org/\u003C/a>\u003C/li>\n\u003Cli>GitLab Repo: \u003Ca href=\"https://gitlab.com/kalilinux\">https://gitlab.com/kalilinux\u003C/a>\u003C/li>\n\u003Cli>Discord-Community: \u003Ca href=\"https://discord.com/invite/kali-linux\">https://discord.com/invite/kali-linux\u003C/a>\u003C/li>\n\u003C/ul>",{"headings":172,"localImagePaths":219,"remoteImagePaths":220,"frontmatter":151,"imagePaths":221},[173,174,175,178,181,184,185,188,191,194,195,198,201,204,207,208,209,212,215,218],{"depth":43,"slug":44,"text":45},{"depth":47,"slug":48,"text":49},{"depth":51,"slug":176,"text":177},"option-1-live-system-usbdvd","Option 1: Live-System (USB/DVD)",{"depth":51,"slug":179,"text":180},"option-2-installation-auf-festplatte","Option 2: Installation auf Festplatte",{"depth":51,"slug":182,"text":183},"option-3-virtuelle-maschine-vm","Option 3: Virtuelle Maschine (VM)",{"depth":47,"slug":58,"text":59},{"depth":51,"slug":186,"text":187},"netzwerkeinstellungen","Netzwerkeinstellungen",{"depth":51,"slug":189,"text":190},"updates--paketquellen","Updates & Paketquellen",{"depth":51,"slug":192,"text":193},"sprache--lokalisierung","Sprache & Lokalisierung",{"depth":47,"slug":70,"text":71},{"depth":51,"slug":196,"text":197},"1-netzwerkscan-mit-nmap","1. Netzwerkscan mit Nmap",{"depth":51,"slug":199,"text":200},"2-passwort-cracking-mit-john-the-ripper","2. Passwort-Cracking mit John the Ripper",{"depth":51,"slug":202,"text":203},"3-forensik-mit-autopsy","3. Forensik mit Autopsy",{"depth":51,"slug":205,"text":206},"4-android-analyse-mit-mobsf-in-docker","4. Android-Analyse mit MobSF (in Docker)",{"depth":47,"slug":79,"text":80},{"depth":47,"slug":82,"text":83},{"depth":51,"slug":210,"text":211},"problem-keine-internetverbindung-nach-installation","Problem: Keine Internetverbindung nach Installation",{"depth":51,"slug":213,"text":214},"problem-tools-fehlen-nach-update","Problem: Tools fehlen nach Update",{"depth":51,"slug":216,"text":217},"problem-permission-denied-bei-tools","Problem: „Permission Denied“ bei Tools",{"depth":47,"slug":94,"text":95},[],[],[],"kali-linux.md","velociraptor",{"id":223,"data":225,"body":239,"filePath":240,"digest":241,"rendered":242,"legacyId":287},{"title":226,"tool_name":227,"description":228,"last_updated":229,"author":16,"difficulty":230,"categories":231,"tags":232,"sections":238,"review_status":34},"Velociraptor – Skalierbare Endpoint-Forensik mit VQL","Velociraptor","Detaillierte Anleitung und Best Practices für Velociraptor – Remote-Forensik der nächsten Generation",["Date","2025-07-20T00:00:00.000Z"],"advanced",[19,21,22],[25,233,234,235,236,237],"endpoint-monitoring","artifact-extraction","scripting","live-forensics","hunting",{"overview":32,"installation":32,"configuration":32,"usage_examples":32,"best_practices":32,"troubleshooting":32,"advanced_topics":32},"> **⚠️ Hinweis**: Dies ist ein vorläufiger, KI-generierter Knowledgebase-Eintrag. Wir freuen uns über Verbesserungen und Ergänzungen durch die Community!\n\n\n# Übersicht\n\nVelociraptor ist ein Open-Source-Tool zur Endpoint-Forensik mit Fokus auf Skalierbarkeit, Präzision und Geschwindigkeit. Es ermöglicht die zielgerichtete Erfassung und Analyse digitaler Artefakte über eine eigene Query Language – VQL (Velociraptor Query Language). Die Architektur erlaubt remote Zugriff auf tausende Endpoints gleichzeitig, ohne dass vollständige Disk-Images erforderlich sind.\n\n## Hauptmerkmale\n\n- 🌐 Web-basierte Benutzeroberfläche\n- 💡 VQL – mächtige, SQL-ähnliche Abfragesprache\n- 🚀 Hochskalierbare Hunt-Funktionalität\n- 🔍 Artefaktbasierte Sammlung (ohne Full-Image)\n- 🖥️ Plattformunterstützung für Windows, macOS, Linux\n- 📦 Apache 2.0 Lizenz – Open Source\n\nWeitere Infos: [velociraptor.app](https://www.velociraptor.app/)  \nProjektspiegel: [raptor.cc24.dev](https://raptor.cc24.dev)  \nStatus: ![Status](https://status.mikoshi.de/api/badge/33/status)\n\n---\n\n## Installation\n\n### Voraussetzungen\n\n- Python ≥ 3.9\n- Adminrechte auf dem System\n- Firewall-Freigaben für Webport (Standard: 8000)\n\n### Installation unter Linux/macOS\n\n```bash\nwget https://github.com/Velocidex/velociraptor/releases/latest/download/velociraptor\nchmod +x velociraptor\nsudo mv velociraptor /usr/local/bin/\n````\n\n### Installation unter Windows\n\n1. Download der `.exe` von der [Release-Seite](https://github.com/Velocidex/velociraptor/releases)\n2. Ausführung in PowerShell mit Adminrechten:\n\n   ```powershell\n   .\\velociraptor.exe config generate > server.config.yaml\n   ```\n\n---\n\n## Konfiguration\n\n### Server Setup\n\n1. Generiere die Konfigurationsdatei:\n\n   ```bash\n   velociraptor config generate > server.config.yaml\n   ```\n2. Starte den Server:\n\n   ```bash\n   velociraptor --config server.config.yaml frontend\n   ```\n3. Zugriff über Browser via `https://\u003Chostname>:8000`\n\n### Client Deployment\n\n* MSI/EXE für Windows, oder `deb/rpm` für Linux\n* Unterstützt automatische Registrierung am Server\n* Deployment über GPO, Puppet, Ansible etc. möglich\n\n---\n\n## Verwendungsbeispiele\n\n### 1. Live-Memory-Artefakte sammeln\n\n```vql\nSELECT * FROM Artifact.MemoryInfo()\n```\n\n### 2. Hunt starten auf verdächtige Prozesse\n\n```vql\nSELECT * FROM pslist()\nWHERE Name =~ \"mimikatz|cobaltstrike\"\n```\n\n### 3. Dateiinhalt extrahieren\n\n```vql\nSELECT * FROM glob(globs=\"C:\\\\Users\\\\*\\\\AppData\\\\*.dat\")\n```\n\n---\n\n## Best Practices\n\n* Erstelle eigene Artefakte für unternehmensspezifische Bedrohungsmodelle\n* Verwende \"Notebook\"-Funktion für strukturierte Analysen\n* Nutze \"Labels\", um Endpoints zu organisieren (z. B. `location:Berlin`)\n* Kombiniere Velociraptor mit SIEM/EDR-Systemen über REST API\n\n---\n\n## Troubleshooting\n\n### Problem: Keine Verbindung vom Client zum Server\n\n**Lösung:**\n\n* Ports freigegeben? (Default: 8000/tcp)\n* TLS-Zertifikate korrekt generiert?\n* `server.config.yaml` auf korrekte `public_ip` prüfen\n\n### Problem: Hunt hängt in Warteschleife\n\n**Lösung:**\n\n* Genügend Worker-Prozesse aktiv?\n* Endpoint online?\n* `log_level` auf `debug` setzen und Log analysieren\n\n---\n\n## Weiterführende Themen\n\n* Eigene Artefakte schreiben mit VQL\n* Integration mit ELK Stack\n* Automatisiertes Incident Response Playbook\n* Velociraptor als IR-as-a-Service einsetzen\n\n---\n\n🧠 **Tipp:** Die Lernkurve bei VQL ist steil – aber mit hohem ROI. Testumgebung aufsetzen und mit Community-Artefakten starten.\n\n📚 Weitere Ressourcen:\n\n* [Offizielle Doku](https://docs.velociraptor.app/)\n* [YouTube Channel](https://www.youtube.com/c/VelociraptorDFIR)\n* [Community auf Discord](https://www.velociraptor.app/community/)","src/content/knowledgebase/velociraptor.md","05636b9b97e61d17",{"html":243,"metadata":244},"\u003Cblockquote>\n\u003Cp>\u003Cstrong>⚠️ Hinweis\u003C/strong>: Dies ist ein vorläufiger, KI-generierter Knowledgebase-Eintrag. Wir freuen uns über Verbesserungen und Ergänzungen durch die Community!\u003C/p>\n\u003C/blockquote>\n\u003Ch1 id=\"übersicht\">Übersicht\u003C/h1>\n\u003Cp>Velociraptor ist ein Open-Source-Tool zur Endpoint-Forensik mit Fokus auf Skalierbarkeit, Präzision und Geschwindigkeit. Es ermöglicht die zielgerichtete Erfassung und Analyse digitaler Artefakte über eine eigene Query Language – VQL (Velociraptor Query Language). Die Architektur erlaubt remote Zugriff auf tausende Endpoints gleichzeitig, ohne dass vollständige Disk-Images erforderlich sind.\u003C/p>\n\u003Ch2 id=\"hauptmerkmale\">Hauptmerkmale\u003C/h2>\n\u003Cul>\n\u003Cli>🌐 Web-basierte Benutzeroberfläche\u003C/li>\n\u003Cli>💡 VQL – mächtige, SQL-ähnliche Abfragesprache\u003C/li>\n\u003Cli>🚀 Hochskalierbare Hunt-Funktionalität\u003C/li>\n\u003Cli>🔍 Artefaktbasierte Sammlung (ohne Full-Image)\u003C/li>\n\u003Cli>🖥️ Plattformunterstützung für Windows, macOS, Linux\u003C/li>\n\u003Cli>📦 Apache 2.0 Lizenz – Open Source\u003C/li>\n\u003C/ul>\n\u003Cp>Weitere Infos: \u003Ca href=\"https://www.velociraptor.app/\">velociraptor.app\u003C/a>\u003Cbr>\nProjektspiegel: \u003Ca href=\"https://raptor.cc24.dev\">raptor.cc24.dev\u003C/a>\u003Cbr>\nStatus: \u003Cimg src=\"https://status.mikoshi.de/api/badge/33/status\" alt=\"Status\">\u003C/p>\n\u003Chr>\n\u003Ch2 id=\"installation\">Installation\u003C/h2>\n\u003Ch3 id=\"voraussetzungen\">Voraussetzungen\u003C/h3>\n\u003Cul>\n\u003Cli>Python ≥ 3.9\u003C/li>\n\u003Cli>Adminrechte auf dem System\u003C/li>\n\u003Cli>Firewall-Freigaben für Webport (Standard: 8000)\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"installation-unter-linuxmacos\">Installation unter Linux/macOS\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">wget\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> https://github.com/Velocidex/velociraptor/releases/latest/download/velociraptor\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">chmod\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> +x\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> velociraptor\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mv\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> velociraptor\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /usr/local/bin/\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"installation-unter-windows\">Installation unter Windows\u003C/h3>\n\u003Col>\n\u003Cli>\n\u003Cp>Download der \u003Ccode>.exe\u003C/code> von der \u003Ca href=\"https://github.com/Velocidex/velociraptor/releases\">Release-Seite\u003C/a>\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Ausführung in PowerShell mit Adminrechten:\u003C/p>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"powershell\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#E1E4E8\">.\\\u003C/span>\u003Cspan style=\"color:#79B8FF\">velociraptor.exe\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> config generate \u003C/span>\u003Cspan style=\"color:#F97583\">>\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> server.config.yaml\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003C/li>\n\u003C/ol>\n\u003Chr>\n\u003Ch2 id=\"konfiguration\">Konfiguration\u003C/h2>\n\u003Ch3 id=\"server-setup\">Server Setup\u003C/h3>\n\u003Col>\n\u003Cli>\n\u003Cp>Generiere die Konfigurationsdatei:\u003C/p>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">velociraptor\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> config\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> generate\u003C/span>\u003Cspan style=\"color:#F97583\"> >\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> server.config.yaml\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003C/li>\n\u003Cli>\n\u003Cp>Starte den Server:\u003C/p>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">velociraptor\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --config\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> server.config.yaml\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> frontend\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003C/li>\n\u003Cli>\n\u003Cp>Zugriff über Browser via \u003Ccode>https://&#x3C;hostname>:8000\u003C/code>\u003C/p>\n\u003C/li>\n\u003C/ol>\n\u003Ch3 id=\"client-deployment\">Client Deployment\u003C/h3>\n\u003Cul>\n\u003Cli>MSI/EXE für Windows, oder \u003Ccode>deb/rpm\u003C/code> für Linux\u003C/li>\n\u003Cli>Unterstützt automatische Registrierung am Server\u003C/li>\n\u003Cli>Deployment über GPO, Puppet, Ansible etc. möglich\u003C/li>\n\u003C/ul>\n\u003Chr>\n\u003Ch2 id=\"verwendungsbeispiele\">Verwendungsbeispiele\u003C/h2>\n\u003Ch3 id=\"1-live-memory-artefakte-sammeln\">1. Live-Memory-Artefakte sammeln\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"plaintext\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan>SELECT * FROM Artifact.MemoryInfo()\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"2-hunt-starten-auf-verdächtige-prozesse\">2. Hunt starten auf verdächtige Prozesse\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"plaintext\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan>SELECT * FROM pslist()\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan>WHERE Name =~ \"mimikatz|cobaltstrike\"\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"3-dateiinhalt-extrahieren\">3. Dateiinhalt extrahieren\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"plaintext\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan>SELECT * FROM glob(globs=\"C:\\\\Users\\\\*\\\\AppData\\\\*.dat\")\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Chr>\n\u003Ch2 id=\"best-practices\">Best Practices\u003C/h2>\n\u003Cul>\n\u003Cli>Erstelle eigene Artefakte für unternehmensspezifische Bedrohungsmodelle\u003C/li>\n\u003Cli>Verwende “Notebook”-Funktion für strukturierte Analysen\u003C/li>\n\u003Cli>Nutze “Labels”, um Endpoints zu organisieren (z. B. \u003Ccode>location:Berlin\u003C/code>)\u003C/li>\n\u003Cli>Kombiniere Velociraptor mit SIEM/EDR-Systemen über REST API\u003C/li>\n\u003C/ul>\n\u003Chr>\n\u003Ch2 id=\"troubleshooting\">Troubleshooting\u003C/h2>\n\u003Ch3 id=\"problem-keine-verbindung-vom-client-zum-server\">Problem: Keine Verbindung vom Client zum Server\u003C/h3>\n\u003Cp>\u003Cstrong>Lösung:\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Ports freigegeben? (Default: 8000/tcp)\u003C/li>\n\u003Cli>TLS-Zertifikate korrekt generiert?\u003C/li>\n\u003Cli>\u003Ccode>server.config.yaml\u003C/code> auf korrekte \u003Ccode>public_ip\u003C/code> prüfen\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"problem-hunt-hängt-in-warteschleife\">Problem: Hunt hängt in Warteschleife\u003C/h3>\n\u003Cp>\u003Cstrong>Lösung:\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Genügend Worker-Prozesse aktiv?\u003C/li>\n\u003Cli>Endpoint online?\u003C/li>\n\u003Cli>\u003Ccode>log_level\u003C/code> auf \u003Ccode>debug\u003C/code> setzen und Log analysieren\u003C/li>\n\u003C/ul>\n\u003Chr>\n\u003Ch2 id=\"weiterführende-themen\">Weiterführende Themen\u003C/h2>\n\u003Cul>\n\u003Cli>Eigene Artefakte schreiben mit VQL\u003C/li>\n\u003Cli>Integration mit ELK Stack\u003C/li>\n\u003Cli>Automatisiertes Incident Response Playbook\u003C/li>\n\u003Cli>Velociraptor als IR-as-a-Service einsetzen\u003C/li>\n\u003C/ul>\n\u003Chr>\n\u003Cp>🧠 \u003Cstrong>Tipp:\u003C/strong> Die Lernkurve bei VQL ist steil – aber mit hohem ROI. Testumgebung aufsetzen und mit Community-Artefakten starten.\u003C/p>\n\u003Cp>📚 Weitere Ressourcen:\u003C/p>\n\u003Cul>\n\u003Cli>\u003Ca href=\"https://docs.velociraptor.app/\">Offizielle Doku\u003C/a>\u003C/li>\n\u003Cli>\u003Ca href=\"https://www.youtube.com/c/VelociraptorDFIR\">YouTube Channel\u003C/a>\u003C/li>\n\u003Cli>\u003Ca href=\"https://www.velociraptor.app/community/\">Community auf Discord\u003C/a>\u003C/li>\n\u003C/ul>",{"headings":245,"localImagePaths":284,"remoteImagePaths":285,"frontmatter":225,"imagePaths":286},[246,247,250,251,252,255,258,259,262,265,266,269,272,275,276,277,280,283],{"depth":43,"slug":44,"text":45},{"depth":47,"slug":248,"text":249},"hauptmerkmale","Hauptmerkmale",{"depth":47,"slug":48,"text":49},{"depth":51,"slug":52,"text":53},{"depth":51,"slug":253,"text":254},"installation-unter-linuxmacos","Installation unter Linux/macOS",{"depth":51,"slug":256,"text":257},"installation-unter-windows","Installation unter Windows",{"depth":47,"slug":58,"text":59},{"depth":51,"slug":260,"text":261},"server-setup","Server Setup",{"depth":51,"slug":263,"text":264},"client-deployment","Client Deployment",{"depth":47,"slug":70,"text":71},{"depth":51,"slug":267,"text":268},"1-live-memory-artefakte-sammeln","1. Live-Memory-Artefakte sammeln",{"depth":51,"slug":270,"text":271},"2-hunt-starten-auf-verdächtige-prozesse","2. Hunt starten auf verdächtige Prozesse",{"depth":51,"slug":273,"text":274},"3-dateiinhalt-extrahieren","3. Dateiinhalt extrahieren",{"depth":47,"slug":79,"text":80},{"depth":47,"slug":82,"text":83},{"depth":51,"slug":278,"text":279},"problem-keine-verbindung-vom-client-zum-server","Problem: Keine Verbindung vom Client zum Server",{"depth":51,"slug":281,"text":282},"problem-hunt-hängt-in-warteschleife","Problem: Hunt hängt in Warteschleife",{"depth":47,"slug":94,"text":95},[],[],[],"velociraptor.md","nextcloud",{"id":288,"data":290,"body":304,"filePath":305,"digest":306,"rendered":307,"legacyId":343},{"title":291,"tool_name":292,"description":293,"last_updated":294,"author":16,"difficulty":295,"categories":296,"tags":298,"sections":303,"review_status":34},"Nextcloud - Sichere Kollaborationsplattform","Nextcloud","Detaillierte Anleitung und Best Practices für Nextcloud in forensischen Einsatzszenarien",["Date","2025-07-20T00:00:00.000Z"],"novice",[297],"collaboration-general",[25,299,300,27,301,302],"collaboration","file-sharing","encryption","document-management",{"overview":32,"installation":32,"configuration":32,"usage_examples":32,"best_practices":32,"troubleshooting":32,"advanced_topics":33},"> **⚠️ Hinweis**: Dies ist ein vorläufiger, KI-generierter Knowledgebase-Eintrag. Wir freuen uns über Verbesserungen und Ergänzungen durch die Community!\n\n\n# Übersicht\n\nNextcloud ist eine Open-Source-Cloud-Suite, die speziell für die sichere Zusammenarbeit entwickelt wurde. Sie eignet sich ideal für forensische Teams, da sie eine DSGVO-konforme Umgebung mit verschlüsselter Dateiablage, Office-Integration und Videokonferenzen bereitstellt. Zusätzlich bietet Nextcloud einen integrierten SSO-Provider, der das Identitätsmanagement für andere forensische Tools stark vereinfacht.\n\nSkalierbar von kleinen Raspberry-Pi-Installationen bis hin zu hochverfügbaren Multi-Node-Setups.\n\n- **Website:** [nextcloud.com](https://nextcloud.com/)\n- **Demo/Projektinstanz:** [cloud.cc24.dev](https://cloud.cc24.dev)\n- **Statusseite:** [Mikoshi Status](https://status.mikoshi.de/api/badge/11/status)\n- **Lizenz:** AGPL-3.0\n\n---\n\n## Installation\n\n### Voraussetzungen\n\n- Linux-Server oder Raspberry Pi\n- PHP 8.1 oder höher\n- MariaDB/PostgreSQL\n- Webserver (Apache/Nginx)\n- SSL-Zertifikat (empfohlen: Let's Encrypt)\n\n### Installationsschritte (Ubuntu Beispiel)\n\n```bash\nsudo apt update && sudo apt upgrade\nsudo apt install apache2 mariadb-server libapache2-mod-php php php-mysql \\\n  php-gd php-xml php-mbstring php-curl php-zip php-intl php-bcmath unzip\n\nwget https://download.nextcloud.com/server/releases/latest.zip\nunzip latest.zip -d /var/www/\nchown -R www-data:www-data /var/www/nextcloud\n````\n\nDanach den Web-Installer im Browser aufrufen (`https://\u003Cyour-domain>/nextcloud`) und Setup abschließen.\n\n## Konfiguration\n\n* **Trusted Domains** in `config.php` definieren\n* SSO mit OpenID Connect aktivieren\n* Dateiverschlüsselung aktivieren (`Settings → Security`)\n* Benutzer und Gruppen über LDAP oder SAML integrieren\n\n## Verwendungsbeispiele\n\n### Gemeinsame Fallbearbeitung\n\n1. Ermittlungsordner als geteiltes Gruppenverzeichnis anlegen\n2. Versionierung und Kommentare zu forensischen Berichten aktivieren\n3. Vorschau für Office-Dateien, PDFs und Bilder direkt im Browser nutzen\n\n### Videokonferenzen mit \"Nextcloud Talk\"\n\n* Sichere Kommunikation zwischen Ermittlern und Sachverständigen\n* Ende-zu-Ende-verschlüsselt\n* Bildschirmfreigabe möglich\n\n### Automatischer Dateiimport per API\n\n* REST-Schnittstelle nutzen, um z. B. automatisch Logdateien oder Exportdaten hochzuladen\n* Ideal für Anbindung an SIEM, DLP oder Analyse-Pipelines\n\n## Best Practices\n\n* Zwei-Faktor-Authentifizierung aktivieren\n* Tägliche Backups der Datenbank und Datenstruktur\n* Nutzung von OnlyOffice oder Collabora für revisionssichere Dokumentenbearbeitung\n* Zugriff regelmäßig überprüfen, insbesondere bei externen Partnern\n\n## Troubleshooting\n\n### Problem: Langsame Performance\n\n**Lösung:** APCu aktivieren und Caching optimieren (`config.php → 'memcache.local'`).\n\n### Problem: Dateien erscheinen nicht im Sync\n\n**Lösung:** Cronjob für `files:scan` konfigurieren oder manuell ausführen:\n\n```bash\nsudo -u www-data php /var/www/nextcloud/occ files:scan --all\n```\n\n### Problem: Fehlermeldung \"Trusted domain not set\"\n\n**Lösung:** In `config/config.php` Eintrag `trusted_domains` korrekt konfigurieren:\n\n```php\n'trusted_domains' =>\n  array (\n    0 => 'yourdomain.tld',\n    1 => 'cloud.cc24.dev',\n  ),\n```\n\n## Weiterführende Themen\n\n* **Integration mit Forensik-Plattformen** (über WebDAV, API oder SSO)\n* **Custom Apps entwickeln** für spezielle Ermittlungs-Workflows\n* **Auditing aktivieren**: Nutzung und Änderungen nachvollziehen mit Protokollierungsfunktionen","src/content/knowledgebase/nextcloud.md","9294074e6083e37b",{"html":308,"metadata":309},"\u003Cblockquote>\n\u003Cp>\u003Cstrong>⚠️ Hinweis\u003C/strong>: Dies ist ein vorläufiger, KI-generierter Knowledgebase-Eintrag. Wir freuen uns über Verbesserungen und Ergänzungen durch die Community!\u003C/p>\n\u003C/blockquote>\n\u003Ch1 id=\"übersicht\">Übersicht\u003C/h1>\n\u003Cp>Nextcloud ist eine Open-Source-Cloud-Suite, die speziell für die sichere Zusammenarbeit entwickelt wurde. Sie eignet sich ideal für forensische Teams, da sie eine DSGVO-konforme Umgebung mit verschlüsselter Dateiablage, Office-Integration und Videokonferenzen bereitstellt. Zusätzlich bietet Nextcloud einen integrierten SSO-Provider, der das Identitätsmanagement für andere forensische Tools stark vereinfacht.\u003C/p>\n\u003Cp>Skalierbar von kleinen Raspberry-Pi-Installationen bis hin zu hochverfügbaren Multi-Node-Setups.\u003C/p>\n\u003Cul>\n\u003Cli>\u003Cstrong>Website:\u003C/strong> \u003Ca href=\"https://nextcloud.com/\">nextcloud.com\u003C/a>\u003C/li>\n\u003Cli>\u003Cstrong>Demo/Projektinstanz:\u003C/strong> \u003Ca href=\"https://cloud.cc24.dev\">cloud.cc24.dev\u003C/a>\u003C/li>\n\u003Cli>\u003Cstrong>Statusseite:\u003C/strong> \u003Ca href=\"https://status.mikoshi.de/api/badge/11/status\">Mikoshi Status\u003C/a>\u003C/li>\n\u003Cli>\u003Cstrong>Lizenz:\u003C/strong> AGPL-3.0\u003C/li>\n\u003C/ul>\n\u003Chr>\n\u003Ch2 id=\"installation\">Installation\u003C/h2>\n\u003Ch3 id=\"voraussetzungen\">Voraussetzungen\u003C/h3>\n\u003Cul>\n\u003Cli>Linux-Server oder Raspberry Pi\u003C/li>\n\u003Cli>PHP 8.1 oder höher\u003C/li>\n\u003Cli>MariaDB/PostgreSQL\u003C/li>\n\u003Cli>Webserver (Apache/Nginx)\u003C/li>\n\u003Cli>SSL-Zertifikat (empfohlen: Let’s Encrypt)\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"installationsschritte-ubuntu-beispiel\">Installationsschritte (Ubuntu Beispiel)\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> update\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> &#x26;&#x26; \u003C/span>\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> upgrade\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> install\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apache2\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mariadb-server\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> libapache2-mod-php\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> php\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> php-mysql\u003C/span>\u003Cspan style=\"color:#79B8FF\"> \\\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#9ECBFF\">  php-gd\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> php-xml\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> php-mbstring\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> php-curl\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> php-zip\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> php-intl\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> php-bcmath\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> unzip\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">wget\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> https://download.nextcloud.com/server/releases/latest.zip\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">unzip\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> latest.zip\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -d\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /var/www/\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">chown\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -R\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> www-data:www-data\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /var/www/nextcloud\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Cp>Danach den Web-Installer im Browser aufrufen (\u003Ccode>https://&#x3C;your-domain>/nextcloud\u003C/code>) und Setup abschließen.\u003C/p>\n\u003Ch2 id=\"konfiguration\">Konfiguration\u003C/h2>\n\u003Cul>\n\u003Cli>\u003Cstrong>Trusted Domains\u003C/strong> in \u003Ccode>config.php\u003C/code> definieren\u003C/li>\n\u003Cli>SSO mit OpenID Connect aktivieren\u003C/li>\n\u003Cli>Dateiverschlüsselung aktivieren (\u003Ccode>Settings → Security\u003C/code>)\u003C/li>\n\u003Cli>Benutzer und Gruppen über LDAP oder SAML integrieren\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"verwendungsbeispiele\">Verwendungsbeispiele\u003C/h2>\n\u003Ch3 id=\"gemeinsame-fallbearbeitung\">Gemeinsame Fallbearbeitung\u003C/h3>\n\u003Col>\n\u003Cli>Ermittlungsordner als geteiltes Gruppenverzeichnis anlegen\u003C/li>\n\u003Cli>Versionierung und Kommentare zu forensischen Berichten aktivieren\u003C/li>\n\u003Cli>Vorschau für Office-Dateien, PDFs und Bilder direkt im Browser nutzen\u003C/li>\n\u003C/ol>\n\u003Ch3 id=\"videokonferenzen-mit-nextcloud-talk\">Videokonferenzen mit “Nextcloud Talk”\u003C/h3>\n\u003Cul>\n\u003Cli>Sichere Kommunikation zwischen Ermittlern und Sachverständigen\u003C/li>\n\u003Cli>Ende-zu-Ende-verschlüsselt\u003C/li>\n\u003Cli>Bildschirmfreigabe möglich\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"automatischer-dateiimport-per-api\">Automatischer Dateiimport per API\u003C/h3>\n\u003Cul>\n\u003Cli>REST-Schnittstelle nutzen, um z. B. automatisch Logdateien oder Exportdaten hochzuladen\u003C/li>\n\u003Cli>Ideal für Anbindung an SIEM, DLP oder Analyse-Pipelines\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"best-practices\">Best Practices\u003C/h2>\n\u003Cul>\n\u003Cli>Zwei-Faktor-Authentifizierung aktivieren\u003C/li>\n\u003Cli>Tägliche Backups der Datenbank und Datenstruktur\u003C/li>\n\u003Cli>Nutzung von OnlyOffice oder Collabora für revisionssichere Dokumentenbearbeitung\u003C/li>\n\u003Cli>Zugriff regelmäßig überprüfen, insbesondere bei externen Partnern\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"troubleshooting\">Troubleshooting\u003C/h2>\n\u003Ch3 id=\"problem-langsame-performance\">Problem: Langsame Performance\u003C/h3>\n\u003Cp>\u003Cstrong>Lösung:\u003C/strong> APCu aktivieren und Caching optimieren (\u003Ccode>config.php → 'memcache.local'\u003C/code>).\u003C/p>\n\u003Ch3 id=\"problem-dateien-erscheinen-nicht-im-sync\">Problem: Dateien erscheinen nicht im Sync\u003C/h3>\n\u003Cp>\u003Cstrong>Lösung:\u003C/strong> Cronjob für \u003Ccode>files:scan\u003C/code> konfigurieren oder manuell ausführen:\u003C/p>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -u\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> www-data\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> php\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /var/www/nextcloud/occ\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> files:scan\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --all\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"problem-fehlermeldung-trusted-domain-not-set\">Problem: Fehlermeldung “Trusted domain not set”\u003C/h3>\n\u003Cp>\u003Cstrong>Lösung:\u003C/strong> In \u003Ccode>config/config.php\u003C/code> Eintrag \u003Ccode>trusted_domains\u003C/code> korrekt konfigurieren:\u003C/p>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"php\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#9ECBFF\">'trusted_domains'\u003C/span>\u003Cspan style=\"color:#F97583\"> =>\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">  array\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> (\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">    0\u003C/span>\u003Cspan style=\"color:#F97583\"> =>\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> 'yourdomain.tld'\u003C/span>\u003Cspan style=\"color:#E1E4E8\">,\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">    1\u003C/span>\u003Cspan style=\"color:#F97583\"> =>\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> 'cloud.cc24.dev'\u003C/span>\u003Cspan style=\"color:#E1E4E8\">,\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#E1E4E8\">  ),\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"weiterführende-themen\">Weiterführende Themen\u003C/h2>\n\u003Cul>\n\u003Cli>\u003Cstrong>Integration mit Forensik-Plattformen\u003C/strong> (über WebDAV, API oder SSO)\u003C/li>\n\u003Cli>\u003Cstrong>Custom Apps entwickeln\u003C/strong> für spezielle Ermittlungs-Workflows\u003C/li>\n\u003Cli>\u003Cstrong>Auditing aktivieren\u003C/strong>: Nutzung und Änderungen nachvollziehen mit Protokollierungsfunktionen\u003C/li>\n\u003C/ul>",{"headings":310,"localImagePaths":340,"remoteImagePaths":341,"frontmatter":290,"imagePaths":342},[311,312,313,314,317,318,319,322,325,328,329,330,333,336,339],{"depth":43,"slug":44,"text":45},{"depth":47,"slug":48,"text":49},{"depth":51,"slug":52,"text":53},{"depth":51,"slug":315,"text":316},"installationsschritte-ubuntu-beispiel","Installationsschritte (Ubuntu Beispiel)",{"depth":47,"slug":58,"text":59},{"depth":47,"slug":70,"text":71},{"depth":51,"slug":320,"text":321},"gemeinsame-fallbearbeitung","Gemeinsame Fallbearbeitung",{"depth":51,"slug":323,"text":324},"videokonferenzen-mit-nextcloud-talk","Videokonferenzen mit “Nextcloud Talk”",{"depth":51,"slug":326,"text":327},"automatischer-dateiimport-per-api","Automatischer Dateiimport per API",{"depth":47,"slug":79,"text":80},{"depth":47,"slug":82,"text":83},{"depth":51,"slug":331,"text":332},"problem-langsame-performance","Problem: Langsame Performance",{"depth":51,"slug":334,"text":335},"problem-dateien-erscheinen-nicht-im-sync","Problem: Dateien erscheinen nicht im Sync",{"depth":51,"slug":337,"text":338},"problem-fehlermeldung-trusted-domain-not-set","Problem: Fehlermeldung “Trusted domain not set”",{"depth":47,"slug":94,"text":95},[],[],[],"nextcloud.md","android-logical-imaging",{"id":344,"data":346,"body":359,"filePath":360,"digest":361,"rendered":362,"legacyId":590},{"title":347,"tool_name":348,"description":349,"last_updated":350,"author":351,"difficulty":230,"categories":352,"tags":354,"sections":358,"review_status":34},"Extraktion logischer Dateisysteme alter Android-Smartphones - eine KI-Recherche","Android Logical Imaging","Wie man alte Android-Handys aufbekommen könnte - eine Recherche von Claude",["Date","2025-07-21T00:00:00.000Z"],"Claude 4 Sonnet (Research)",[353],"data-collection",[355,356,357],"imaging","filesystem","hardware-interface",{"overview":32,"installation":32,"configuration":32,"usage_examples":32,"best_practices":32,"troubleshooting":32,"advanced_topics":32},"# Übersicht\n\nOpen-Source Android Forensik bietet robuste Alternativen zu kommerziellen Lösungen wie Cellebrite UFED und Magnet AXIOM. Besonders für ältere Android-Geräte (5+ Jahre) existieren bewährte Methoden zur Datenextraktion und -analyse.\n\n## Kernkomponenten des Open-Source Forensik-Stacks\n\n**Autopsy Digital Forensics Platform** bildet das Fundament mit GUI-basierter Analyse und integrierten Android-Parsing-Fähigkeiten. Die Plattform unterstützt **ALEAPP (Android Logs Events And Protobuf Parser)**, das über 100 Artefakt-Kategorien aus Android-Extraktionen parst.\n\n**Mobile Verification Toolkit (MVT)** von Amnesty International bietet spezialisierte Command-Line-Tools für Android-Analyse mit Fokus auf Kompromittierungserkennung.\n\n**SIFT Workstation** stellt eine komplette Ubuntu-basierte forensische Umgebung mit 125+ vorinstallierten Tools bereit.\n\n## Erfolgsraten nach Gerätealter\n\n- **Pre-2017 Geräte**: 85-98% logische Extraktion, 30-70% physische Extraktion\n- **2017-2019 Geräte**: 80-95% logische Extraktion, 15-35% physische Extraktion  \n- **2020+ Geräte**: 70-85% logische Extraktion, 5-15% physische Extraktion\n\n# Installation\n\n## SIFT Workstation Setup\n\n### Systemanforderungen\n- Quad-Core CPU 2.5GHz+\n- 16GB+ RAM\n- 500GB+ SSD Speicher\n- USB 3.0+ Anschlüsse\n\n### Installation\n1. Download von [SANS SIFT Workstation](https://www.sans.org/tools/sift-workstation/)\n2. VMware/VirtualBox Import der OVA-Datei\n3. VM-Konfiguration: 8GB+ RAM, 4+ CPU-Kerne\n\n```bash\n# Update nach Installation\nsudo apt update && sudo apt upgrade -y\nsudo sift update\n```\n\n## Autopsy Installation\n\n### Windows Installation\n1. Download von [autopsy.com](https://www.autopsy.com/)\n2. Java 8+ Installation erforderlich\n3. Installation mit Administratorrechten\n\n### Linux Installation\n```bash\n# Ubuntu/Debian\nsudo apt install autopsy sleuthkit\n# Oder manueller Download und Installation\nwget https://github.com/sleuthkit/autopsy/releases/latest\n```\n\n## Essential Tools Installation\n\n### Android Debug Bridge (ADB)\n```bash\n# Ubuntu/Debian\nsudo apt install android-tools-adb android-tools-fastboot\n\n# Windows - Download Android Platform Tools\n# https://developer.android.com/studio/releases/platform-tools\n```\n\n### ALEAPP Installation\n```bash\ngit clone https://github.com/abrignoni/ALEAPP.git\ncd ALEAPP\npip3 install -r requirements.txt\n```\n\n### Mobile Verification Toolkit (MVT)\n```bash\npip3 install mvt\n# Oder via GitHub für neueste Version\ngit clone https://github.com/mvt-project/mvt.git\ncd mvt && pip3 install .\n```\n\n### Andriller Installation\n```bash\ngit clone https://github.com/den4uk/andriller.git\ncd andriller\npip3 install -r requirements.txt\n```\n\n# Konfiguration\n\n## ADB Setup und Gerätevorbereitung\n\n### USB-Debugging aktivieren\n1. Entwickleroptionen freischalten (7x Build-Nummer antippen)\n2. USB-Debugging aktivieren\n3. Gerät via USB verbinden\n4. RSA-Fingerprint akzeptieren\n\n### ADB Verbindung testen\n```bash\nadb devices\n# Sollte Gerät mit \"device\" Status zeigen\nadb shell getprop ro.build.version.release  # Android Version\nadb shell getprop ro.product.model         # Gerätemodell\n```\n\n## Autopsy Projektkonfiguration\n\n### Case-Setup\n1. Neuen Fall erstellen\n2. Ermittler-Informationen eingeben\n3. Case-Verzeichnis festlegen (ausreichend Speicherplatz)\n\n### Android Analyzer Module aktivieren\n- Tools → Options → Modules\n- Android Analyzer aktivieren\n- ALEAPP Integration konfigurieren\n\n### Hash-Algorithmen konfigurieren\n- MD5, SHA-1, SHA-256 für Integritätsprüfung\n- Automatische Hash-Berechnung bei Import aktivieren\n\n## MVT Konfiguration\n\n### Konfigurationsdatei erstellen\n```yaml\n# ~/.mvt/config.yaml\nadb_path: \"/usr/bin/adb\"\noutput_folder: \"/home/user/mvt_output\"\n```\n\n# Verwendungsbeispiele\n\n## Fall 1: Logische Datenextraktion mit ADB\n\n### Geräteinformationen sammeln\n```bash\n# Systeminfo\nadb shell getprop > device_properties.txt\nadb shell cat /proc/version > kernel_info.txt\nadb shell mount > mount_info.txt\n\n# Installierte Apps\nadb shell pm list packages -f > installed_packages.txt\n```\n\n### Datenbank-Extraktion\n```bash\n# SMS/MMS Datenbank\nadb pull /data/data/com.android.providers.telephony/databases/mmssms.db\n\n# Kontakte\nadb pull /data/data/com.android.providers.contacts/databases/contacts2.db\n\n# Anrufliste  \nadb pull /data/data/com.android.providers.contacts/databases/calllog.db\n```\n\n### WhatsApp Datenextraktion\n```bash\n# WhatsApp Datenbanken (Root erforderlich)\nadb shell su -c \"cp -r /data/data/com.whatsapp/ /sdcard/whatsapp_backup/\"\nadb pull /sdcard/whatsapp_backup/\n```\n\n## Fall 2: Android Backup-Analyse\n\n### Vollständiges Backup erstellen\n```bash\n# Umfassendes Backup (ohne Root)\nadb backup -all -system -apk -shared -f backup.ab\n\n# Backup entschlüsseln (falls verschlüsselt)\njava -jar abe.jar unpack backup.ab backup.tar\ntar -xf backup.tar\n```\n\n### Backup mit ALEAPP analysieren\n```bash\npython3 aleappGUI.py\n# Oder Command-Line\npython3 aleapp.py -t tar -i backup.tar -o output_folder\n```\n\n## Fall 3: MVT Kompromittierungsanalyse\n\n### Live-Geräteanalyse\n```bash\n# ADB-basierte Analyse\nmvt-android check-adb --output /path/to/output/\n\n# Backup-Analyse\nmvt-android check-backup --output /path/to/output/ backup.ab\n```\n\n### IOC-Suche mit Pegasus-Indikatoren\n```bash\n# Mit vorgefertigten IOCs\nmvt-android check-adb --iocs /path/to/pegasus.stix2 --output results/\n```\n\n## Fall 4: Physische Extraktion (Root erforderlich)\n\n### Device Rooting - MediaTek Geräte\n```bash\n# MTKClient für MediaTek-Chipsets\ngit clone https://github.com/bkerler/mtkclient.git\ncd mtkclient\npython3 mtk payload\n\n# Nach erfolgreichem Root\nadb shell su\n```\n\n### Vollständiges Memory Dump\n```bash\n# Partitionslayout ermitteln\nadb shell su -c \"cat /proc/partitions\"\nadb shell su -c \"ls -la /dev/block/\"\n\n# Vollständiges Device Image (Root erforderlich)\nadb shell su -c \"dd if=/dev/block/mmcblk0 of=/sdcard/full_device.img bs=4096\"\nadb pull /sdcard/full_device.img\n```\n\n# Best Practices\n\n## Rechtliche Compliance\n\n### Dokumentation und Chain of Custody\n- **Vollständige Dokumentation**: Wer, Was, Wann, Wo, Warum\n- **Hash-Verifikation**: MD5/SHA-256 für alle extrahierten Daten\n- **Nur forensische Kopien analysieren**, niemals Originaldaten\n- **Schriftliche Genehmigung** für Geräteanalyse einholen\n\n### Familiengeräte und Nachlässe\n- Genehmigung durch Nachlassverwalter erforderlich\n- Gerichtsbeschlüsse für Cloud-Zugang eventuell nötig\n- Drittpartei-Kommunikation kann weiterhin geschützt sein\n\n## Technische Best Practices\n\n### Hash-Integrität sicherstellen\n```bash\n# Hash vor und nach Transfer prüfen\nmd5sum original_file.db\nsha256sum original_file.db\n\n# Hash-Verifikation dokumentieren\necho \"$(date): MD5: $(md5sum file.db)\" >> chain_of_custody.log\n```\n\n### Sichere Arbeitsumgebung\n- Isolierte VM für Forensik-Arbeit\n- Netzwerk-Isolation während Analyse\n- Verschlüsselte Speicherung aller Evidenz\n- Regelmäßige Backups der Case-Datenbanken\n\n### Qualitätssicherung\n- Peer-Review kritischer Analysen\n- Standardisierte Arbeitsabläufe (SOPs)\n- Regelmäßige Tool-Validierung\n- Kontinuierliche Weiterbildung\n\n## Erfolgsmaximierung nach Gerätehersteller\n\n### MediaTek-Geräte (Höchste Erfolgsrate)\n- BootROM-Exploits für MT6735, MT6737, MT6750, MT6753, MT6797\n- MTKClient für Hardware-Level-Zugang\n- Erfolgsrate: 80%+ für Geräte 2015-2019\n\n### Samsung-Geräte\n- Ältere Knox-Implementierungen umgehbar\n- Emergency Dialer Exploits für Android 4.x\n- Erfolgsrate: 40-70% je nach Knox-Version\n\n### Pixel/Nexus-Geräte\n- Bootloader-Unlocking oft möglich\n- Fastboot-basierte Recovery-Installation\n- Erfolgsrate: 60-80% bei freigeschaltetem Bootloader\n\n# Troubleshooting\n\n## Problem: ADB erkennt Gerät nicht\n\n### Lösung: USB-Treiber und Berechtigungen\n```bash\n# Linux: USB-Berechtigungen prüfen\nlsusb | grep -i android\nsudo chmod 666 /dev/bus/usb/XXX/XXX\n\n# udev-Regeln erstellen\necho 'SUBSYSTEM==\"usb\", ATTR{idVendor}==\"18d1\", MODE=\"0666\", GROUP=\"plugdev\"' | sudo tee /etc/udev/rules.d/51-android.rules\nsudo udevadm control --reload-rules\n```\n\n### Windows: Treiber-Installation\n1. Geräte-Manager öffnen\n2. Android-Gerät mit Warnsymbol finden\n3. Treiber manuell installieren (Android USB Driver)\n\n## Problem: Verschlüsselte Android Backups\n\n### Lösung: Android Backup Extractor\n```bash\n# ADB Backup Extractor installieren\ngit clone https://github.com/nelenkov/android-backup-extractor.git\ncd android-backup-extractor\ngradle build\n\n# Backup entschlüsseln\njava -jar abe.jar unpack backup.ab backup.tar [password]\n```\n\n## Problem: Unzureichende Berechtigungen für Datenextraktion\n\n### Lösung: Alternative Extraktionsmethoden\n```bash\n# AFLogical OSE für begrenzte Extraktion ohne Root\n# WhatsApp Key/DB Extractor für spezifische Apps\n# Backup-basierte Extraktion als Fallback\n\n# Custom Recovery für erweiterten Zugang\nfastboot flash recovery twrp-device.img\n```\n\n## Problem: ALEAPP Parsing-Fehler\n\n### Lösung: Datenformat-Probleme beheben\n```bash\n# Log-Dateien prüfen\npython3 aleapp.py -t dir -i /path/to/data -o output --debug\n\n# Spezifische Parser deaktivieren\n# Manuelle SQLite-Analyse bei Parser-Fehlern\nsqlite3 database.db \".tables\"\nsqlite3 database.db \".schema table_name\"\n```\n\n# Erweiterte Techniken\n\n## Memory Forensics mit LiME\n\n### LiME für ARM-Devices kompilieren\n```bash\n# Cross-Compilation Setup\nexport ARCH=arm\nexport CROSS_COMPILE=arm-linux-gnueabi-\nexport KERNEL_DIR=/path/to/kernel/source\n\n# LiME Module kompilieren\ngit clone https://github.com/504ensicsLabs/LiME.git\ncd LiME/src\nmake\n\n# Memory Dump erstellen (Root erforderlich)\nadb push lime.ko /data/local/tmp/\nadb shell su -c \"insmod /data/local/tmp/lime.ko 'path=/sdcard/memory.lime format=lime'\"\n```\n\n### Volatility-Analyse von Android Memory\n```bash\n# Memory Dump analysieren\npython vol.py -f memory.lime --profile=Linux \u003Cprofile> linux.pslist\npython vol.py -f memory.lime --profile=Linux \u003Cprofile> linux.bash\npython vol.py -f memory.lime --profile=Linux \u003Cprofile> linux.netstat\n```\n\n## FRIDA-basierte Runtime-Analyse\n\n### FRIDA für Kryptographie-Hooks\n```javascript\n// crypto_hooks.js - SSL/TLS Traffic abfangen\nJava.perform(function() {\n    var SSLContext = Java.use(\"javax.net.ssl.SSLContext\");\n    SSLContext.init.overload('[Ljavax.net.ssl.KeyManager;', '[Ljavax.net.ssl.TrustManager;', 'java.security.SecureRandom').implementation = function(keyManagers, trustManagers, secureRandom) {\n        console.log(\"[+] SSLContext.init() called\");\n        this.init(keyManagers, trustManagers, secureRandom);\n    };\n});\n```\n\n### FRIDA Installation und Verwendung\n```bash\n# FRIDA Server auf Android-Gerät installieren\nadb push frida-server /data/local/tmp/\nadb shell su -c \"chmod 755 /data/local/tmp/frida-server\"\nadb shell su -c \"/data/local/tmp/frida-server &\"\n\n# Script ausführen\nfrida -U -l crypto_hooks.js com.target.package\n```\n\n## Custom Recovery und Fastboot-Exploits\n\n### TWRP Installation für forensischen Zugang\n```bash\n# Bootloader entsperren (Herstellerabhängig)\nfastboot oem unlock\n# Oder\nfastboot flashing unlock\n\n# TWRP flashen\nfastboot flash recovery twrp-device.img\nfastboot boot twrp-device.img  # Temporäre Installation\n\n# In TWRP: ADB-Zugang mit Root-Berechtigungen\nadb shell mount /system\nadb shell mount /data\n```\n\n### Partitions-Imaging mit dd\n```bash\n# Vollständige Partition-Liste\nadb shell cat /proc/partitions\n\n# Kritische Partitionen extrahieren\nadb shell dd if=/dev/block/bootdevice/by-name/system of=/external_sd/system.img\nadb shell dd if=/dev/block/bootdevice/by-name/userdata of=/external_sd/userdata.img\nadb shell dd if=/dev/block/bootdevice/by-name/boot of=/external_sd/boot.img\n```\n\n## SQLite Forensics und gelöschte Daten\n\n### Erweiterte SQLite-Analyse\n```bash\n# Freelist-Analyse für gelöschte Einträge\nsqlite3 database.db \"PRAGMA freelist_count;\"\nsqlite3 database.db \"PRAGMA page_size;\"\n\n# WAL-Datei Analyse\nsqlite3 database.db \"PRAGMA wal_checkpoint;\"\nstrings database.db-wal | grep -i \"search_term\"\n\n# Undark für Deleted Record Recovery\nundark database.db --freelist --export-csv\n```\n\n### Timeline-Rekonstruktion\n```bash\n# Autopsy Timeline-Generierung\n# Tools → Generate Timeline\n# Analyse von MAC-Times (Modified, Accessed, Created)\n\n# Plaso Timeline-Tools\nlog2timeline.py timeline.plaso /path/to/android/data/\npsort.py -o dynamic timeline.plaso\n```\n\n## Weiterführende Ressourcen\n\n### Dokumentation und Standards\n- [NIST SP 800-101 Rev. 1 - Mobile Device Forensics Guidelines](https://csrc.nist.gov/pubs/sp/800/101/r1/final)\n- [SANS FOR585 - Smartphone Forensics](https://www.sans.org/cyber-security-courses/advanced-smartphone-mobile-device-forensics/)\n- [ALEAPP GitHub Repository](https://github.com/abrignoni/ALEAPP)\n- [MVT Documentation](https://docs.mvt.re/en/latest/)\n\n### Community und Weiterbildung\n- [Autopsy User Documentation](https://sleuthkit.org/autopsy/docs/)\n- [Android Forensics References](https://github.com/impillar/AndroidReferences/blob/master/AndroidTools.md)\n- [Digital Forensics Framework Collection](https://github.com/mesquidar/ForensicsTools)\n\n### Spezialisierte Tools\n- [MTKClient für MediaTek Exploits](https://github.com/bkerler/mtkclient)\n- [Android Forensics Framework](https://github.com/nowsecure/android-forensics)\n- [Santoku Linux Mobile Forensics Distribution](https://santoku-linux.com/)\n\n---\n\n**Wichtiger Hinweis**: Diese Anleitung dient ausschließlich für autorisierte forensische Untersuchungen. Stellen Sie sicher, dass Sie über entsprechende rechtliche Befugnisse verfügen, bevor Sie diese Techniken anwenden. Bei Zweifeln konsultieren Sie Rechtsberatung.","src/content/knowledgebase/android-logical-imaging.md","0bb3f1d2c872d2bf",{"html":363,"metadata":364},"\u003Ch1 id=\"übersicht\">Übersicht\u003C/h1>\n\u003Cp>Open-Source Android Forensik bietet robuste Alternativen zu kommerziellen Lösungen wie Cellebrite UFED und Magnet AXIOM. Besonders für ältere Android-Geräte (5+ Jahre) existieren bewährte Methoden zur Datenextraktion und -analyse.\u003C/p>\n\u003Ch2 id=\"kernkomponenten-des-open-source-forensik-stacks\">Kernkomponenten des Open-Source Forensik-Stacks\u003C/h2>\n\u003Cp>\u003Cstrong>Autopsy Digital Forensics Platform\u003C/strong> bildet das Fundament mit GUI-basierter Analyse und integrierten Android-Parsing-Fähigkeiten. Die Plattform unterstützt \u003Cstrong>ALEAPP (Android Logs Events And Protobuf Parser)\u003C/strong>, das über 100 Artefakt-Kategorien aus Android-Extraktionen parst.\u003C/p>\n\u003Cp>\u003Cstrong>Mobile Verification Toolkit (MVT)\u003C/strong> von Amnesty International bietet spezialisierte Command-Line-Tools für Android-Analyse mit Fokus auf Kompromittierungserkennung.\u003C/p>\n\u003Cp>\u003Cstrong>SIFT Workstation\u003C/strong> stellt eine komplette Ubuntu-basierte forensische Umgebung mit 125+ vorinstallierten Tools bereit.\u003C/p>\n\u003Ch2 id=\"erfolgsraten-nach-gerätealter\">Erfolgsraten nach Gerätealter\u003C/h2>\n\u003Cul>\n\u003Cli>\u003Cstrong>Pre-2017 Geräte\u003C/strong>: 85-98% logische Extraktion, 30-70% physische Extraktion\u003C/li>\n\u003Cli>\u003Cstrong>2017-2019 Geräte\u003C/strong>: 80-95% logische Extraktion, 15-35% physische Extraktion\u003C/li>\n\u003Cli>\u003Cstrong>2020+ Geräte\u003C/strong>: 70-85% logische Extraktion, 5-15% physische Extraktion\u003C/li>\n\u003C/ul>\n\u003Ch1 id=\"installation\">Installation\u003C/h1>\n\u003Ch2 id=\"sift-workstation-setup\">SIFT Workstation Setup\u003C/h2>\n\u003Ch3 id=\"systemanforderungen\">Systemanforderungen\u003C/h3>\n\u003Cul>\n\u003Cli>Quad-Core CPU 2.5GHz+\u003C/li>\n\u003Cli>16GB+ RAM\u003C/li>\n\u003Cli>500GB+ SSD Speicher\u003C/li>\n\u003Cli>USB 3.0+ Anschlüsse\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"installation-1\">Installation\u003C/h3>\n\u003Col>\n\u003Cli>Download von \u003Ca href=\"https://www.sans.org/tools/sift-workstation/\">SANS SIFT Workstation\u003C/a>\u003C/li>\n\u003Cli>VMware/VirtualBox Import der OVA-Datei\u003C/li>\n\u003Cli>VM-Konfiguration: 8GB+ RAM, 4+ CPU-Kerne\u003C/li>\n\u003C/ol>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Update nach Installation\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> update\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> &#x26;&#x26; \u003C/span>\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> upgrade\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -y\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> sift\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> update\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"autopsy-installation\">Autopsy Installation\u003C/h2>\n\u003Ch3 id=\"windows-installation\">Windows Installation\u003C/h3>\n\u003Col>\n\u003Cli>Download von \u003Ca href=\"https://www.autopsy.com/\">autopsy.com\u003C/a>\u003C/li>\n\u003Cli>Java 8+ Installation erforderlich\u003C/li>\n\u003Cli>Installation mit Administratorrechten\u003C/li>\n\u003C/ol>\n\u003Ch3 id=\"linux-installation\">Linux Installation\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Ubuntu/Debian\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> install\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> autopsy\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> sleuthkit\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Oder manueller Download und Installation\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">wget\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> https://github.com/sleuthkit/autopsy/releases/latest\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"essential-tools-installation\">Essential Tools Installation\u003C/h2>\n\u003Ch3 id=\"android-debug-bridge-adb\">Android Debug Bridge (ADB)\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Ubuntu/Debian\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> install\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> android-tools-adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> android-tools-fastboot\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Windows - Download Android Platform Tools\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># https://developer.android.com/studio/releases/platform-tools\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"aleapp-installation\">ALEAPP Installation\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">git\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> clone\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> https://github.com/abrignoni/ALEAPP.git\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">cd\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> ALEAPP\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">pip3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> install\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -r\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> requirements.txt\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"mobile-verification-toolkit-mvt\">Mobile Verification Toolkit (MVT)\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">pip3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> install\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mvt\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Oder via GitHub für neueste Version\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">git\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> clone\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> https://github.com/mvt-project/mvt.git\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">cd\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mvt\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> &#x26;&#x26; \u003C/span>\u003Cspan style=\"color:#B392F0\">pip3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> install\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> .\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"andriller-installation\">Andriller Installation\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">git\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> clone\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> https://github.com/den4uk/andriller.git\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">cd\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> andriller\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">pip3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> install\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -r\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> requirements.txt\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch1 id=\"konfiguration\">Konfiguration\u003C/h1>\n\u003Ch2 id=\"adb-setup-und-gerätevorbereitung\">ADB Setup und Gerätevorbereitung\u003C/h2>\n\u003Ch3 id=\"usb-debugging-aktivieren\">USB-Debugging aktivieren\u003C/h3>\n\u003Col>\n\u003Cli>Entwickleroptionen freischalten (7x Build-Nummer antippen)\u003C/li>\n\u003Cli>USB-Debugging aktivieren\u003C/li>\n\u003Cli>Gerät via USB verbinden\u003C/li>\n\u003Cli>RSA-Fingerprint akzeptieren\u003C/li>\n\u003C/ol>\n\u003Ch3 id=\"adb-verbindung-testen\">ADB Verbindung testen\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> devices\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Sollte Gerät mit \"device\" Status zeigen\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> getprop\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> ro.build.version.release\u003C/span>\u003Cspan style=\"color:#6A737D\">  # Android Version\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> getprop\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> ro.product.model\u003C/span>\u003Cspan style=\"color:#6A737D\">         # Gerätemodell\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"autopsy-projektkonfiguration\">Autopsy Projektkonfiguration\u003C/h2>\n\u003Ch3 id=\"case-setup\">Case-Setup\u003C/h3>\n\u003Col>\n\u003Cli>Neuen Fall erstellen\u003C/li>\n\u003Cli>Ermittler-Informationen eingeben\u003C/li>\n\u003Cli>Case-Verzeichnis festlegen (ausreichend Speicherplatz)\u003C/li>\n\u003C/ol>\n\u003Ch3 id=\"android-analyzer-module-aktivieren\">Android Analyzer Module aktivieren\u003C/h3>\n\u003Cul>\n\u003Cli>Tools → Options → Modules\u003C/li>\n\u003Cli>Android Analyzer aktivieren\u003C/li>\n\u003Cli>ALEAPP Integration konfigurieren\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"hash-algorithmen-konfigurieren\">Hash-Algorithmen konfigurieren\u003C/h3>\n\u003Cul>\n\u003Cli>MD5, SHA-1, SHA-256 für Integritätsprüfung\u003C/li>\n\u003Cli>Automatische Hash-Berechnung bei Import aktivieren\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"mvt-konfiguration\">MVT Konfiguration\u003C/h2>\n\u003Ch3 id=\"konfigurationsdatei-erstellen\">Konfigurationsdatei erstellen\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"yaml\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># ~/.mvt/config.yaml\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#85E89D\">adb_path\u003C/span>\u003Cspan style=\"color:#E1E4E8\">: \u003C/span>\u003Cspan style=\"color:#9ECBFF\">\"/usr/bin/adb\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#85E89D\">output_folder\u003C/span>\u003Cspan style=\"color:#E1E4E8\">: \u003C/span>\u003Cspan style=\"color:#9ECBFF\">\"/home/user/mvt_output\"\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch1 id=\"verwendungsbeispiele\">Verwendungsbeispiele\u003C/h1>\n\u003Ch2 id=\"fall-1-logische-datenextraktion-mit-adb\">Fall 1: Logische Datenextraktion mit ADB\u003C/h2>\n\u003Ch3 id=\"geräteinformationen-sammeln\">Geräteinformationen sammeln\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Systeminfo\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> getprop\u003C/span>\u003Cspan style=\"color:#F97583\"> >\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> device_properties.txt\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> cat\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /proc/version\u003C/span>\u003Cspan style=\"color:#F97583\"> >\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> kernel_info.txt\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mount\u003C/span>\u003Cspan style=\"color:#F97583\"> >\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mount_info.txt\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Installierte Apps\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> pm\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> list\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> packages\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -f\u003C/span>\u003Cspan style=\"color:#F97583\"> >\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> installed_packages.txt\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"datenbank-extraktion\">Datenbank-Extraktion\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># SMS/MMS Datenbank\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> pull\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /data/data/com.android.providers.telephony/databases/mmssms.db\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Kontakte\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> pull\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /data/data/com.android.providers.contacts/databases/contacts2.db\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Anrufliste  \u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> pull\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /data/data/com.android.providers.contacts/databases/calllog.db\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"whatsapp-datenextraktion\">WhatsApp Datenextraktion\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># WhatsApp Datenbanken (Root erforderlich)\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> su\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -c\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"cp -r /data/data/com.whatsapp/ /sdcard/whatsapp_backup/\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> pull\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /sdcard/whatsapp_backup/\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"fall-2-android-backup-analyse\">Fall 2: Android Backup-Analyse\u003C/h2>\n\u003Ch3 id=\"vollständiges-backup-erstellen\">Vollständiges Backup erstellen\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Umfassendes Backup (ohne Root)\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> backup\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -all\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -system\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -apk\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -shared\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -f\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> backup.ab\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Backup entschlüsseln (falls verschlüsselt)\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">java\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -jar\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> abe.jar\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> unpack\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> backup.ab\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> backup.tar\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">tar\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -xf\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> backup.tar\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"backup-mit-aleapp-analysieren\">Backup mit ALEAPP analysieren\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">python3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> aleappGUI.py\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Oder Command-Line\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">python3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> aleapp.py\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -t\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> tar\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -i\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> backup.tar\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -o\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> output_folder\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"fall-3-mvt-kompromittierungsanalyse\">Fall 3: MVT Kompromittierungsanalyse\u003C/h2>\n\u003Ch3 id=\"live-geräteanalyse\">Live-Geräteanalyse\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># ADB-basierte Analyse\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">mvt-android\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> check-adb\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --output\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /path/to/output/\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Backup-Analyse\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">mvt-android\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> check-backup\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --output\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /path/to/output/\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> backup.ab\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"ioc-suche-mit-pegasus-indikatoren\">IOC-Suche mit Pegasus-Indikatoren\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Mit vorgefertigten IOCs\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">mvt-android\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> check-adb\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --iocs\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /path/to/pegasus.stix2\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --output\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> results/\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"fall-4-physische-extraktion-root-erforderlich\">Fall 4: Physische Extraktion (Root erforderlich)\u003C/h2>\n\u003Ch3 id=\"device-rooting---mediatek-geräte\">Device Rooting - MediaTek Geräte\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># MTKClient für MediaTek-Chipsets\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">git\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> clone\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> https://github.com/bkerler/mtkclient.git\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">cd\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mtkclient\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">python3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mtk\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> payload\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Nach erfolgreichem Root\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> su\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"vollständiges-memory-dump\">Vollständiges Memory Dump\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Partitionslayout ermitteln\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> su\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -c\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"cat /proc/partitions\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> su\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -c\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"ls -la /dev/block/\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Vollständiges Device Image (Root erforderlich)\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> su\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -c\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"dd if=/dev/block/mmcblk0 of=/sdcard/full_device.img bs=4096\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> pull\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /sdcard/full_device.img\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch1 id=\"best-practices\">Best Practices\u003C/h1>\n\u003Ch2 id=\"rechtliche-compliance\">Rechtliche Compliance\u003C/h2>\n\u003Ch3 id=\"dokumentation-und-chain-of-custody\">Dokumentation und Chain of Custody\u003C/h3>\n\u003Cul>\n\u003Cli>\u003Cstrong>Vollständige Dokumentation\u003C/strong>: Wer, Was, Wann, Wo, Warum\u003C/li>\n\u003Cli>\u003Cstrong>Hash-Verifikation\u003C/strong>: MD5/SHA-256 für alle extrahierten Daten\u003C/li>\n\u003Cli>\u003Cstrong>Nur forensische Kopien analysieren\u003C/strong>, niemals Originaldaten\u003C/li>\n\u003Cli>\u003Cstrong>Schriftliche Genehmigung\u003C/strong> für Geräteanalyse einholen\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"familiengeräte-und-nachlässe\">Familiengeräte und Nachlässe\u003C/h3>\n\u003Cul>\n\u003Cli>Genehmigung durch Nachlassverwalter erforderlich\u003C/li>\n\u003Cli>Gerichtsbeschlüsse für Cloud-Zugang eventuell nötig\u003C/li>\n\u003Cli>Drittpartei-Kommunikation kann weiterhin geschützt sein\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"technische-best-practices\">Technische Best Practices\u003C/h2>\n\u003Ch3 id=\"hash-integrität-sicherstellen\">Hash-Integrität sicherstellen\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Hash vor und nach Transfer prüfen\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">md5sum\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> original_file.db\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sha256sum\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> original_file.db\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Hash-Verifikation dokumentieren\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">echo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"$(\u003C/span>\u003Cspan style=\"color:#B392F0\">date\u003C/span>\u003Cspan style=\"color:#9ECBFF\">): MD5: $(\u003C/span>\u003Cspan style=\"color:#B392F0\">md5sum\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> file.db)\"\u003C/span>\u003Cspan style=\"color:#F97583\"> >>\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> chain_of_custody.log\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"sichere-arbeitsumgebung\">Sichere Arbeitsumgebung\u003C/h3>\n\u003Cul>\n\u003Cli>Isolierte VM für Forensik-Arbeit\u003C/li>\n\u003Cli>Netzwerk-Isolation während Analyse\u003C/li>\n\u003Cli>Verschlüsselte Speicherung aller Evidenz\u003C/li>\n\u003Cli>Regelmäßige Backups der Case-Datenbanken\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"qualitätssicherung\">Qualitätssicherung\u003C/h3>\n\u003Cul>\n\u003Cli>Peer-Review kritischer Analysen\u003C/li>\n\u003Cli>Standardisierte Arbeitsabläufe (SOPs)\u003C/li>\n\u003Cli>Regelmäßige Tool-Validierung\u003C/li>\n\u003Cli>Kontinuierliche Weiterbildung\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"erfolgsmaximierung-nach-gerätehersteller\">Erfolgsmaximierung nach Gerätehersteller\u003C/h2>\n\u003Ch3 id=\"mediatek-geräte-höchste-erfolgsrate\">MediaTek-Geräte (Höchste Erfolgsrate)\u003C/h3>\n\u003Cul>\n\u003Cli>BootROM-Exploits für MT6735, MT6737, MT6750, MT6753, MT6797\u003C/li>\n\u003Cli>MTKClient für Hardware-Level-Zugang\u003C/li>\n\u003Cli>Erfolgsrate: 80%+ für Geräte 2015-2019\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"samsung-geräte\">Samsung-Geräte\u003C/h3>\n\u003Cul>\n\u003Cli>Ältere Knox-Implementierungen umgehbar\u003C/li>\n\u003Cli>Emergency Dialer Exploits für Android 4.x\u003C/li>\n\u003Cli>Erfolgsrate: 40-70% je nach Knox-Version\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"pixelnexus-geräte\">Pixel/Nexus-Geräte\u003C/h3>\n\u003Cul>\n\u003Cli>Bootloader-Unlocking oft möglich\u003C/li>\n\u003Cli>Fastboot-basierte Recovery-Installation\u003C/li>\n\u003Cli>Erfolgsrate: 60-80% bei freigeschaltetem Bootloader\u003C/li>\n\u003C/ul>\n\u003Ch1 id=\"troubleshooting\">Troubleshooting\u003C/h1>\n\u003Ch2 id=\"problem-adb-erkennt-gerät-nicht\">Problem: ADB erkennt Gerät nicht\u003C/h2>\n\u003Ch3 id=\"lösung-usb-treiber-und-berechtigungen\">Lösung: USB-Treiber und Berechtigungen\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Linux: USB-Berechtigungen prüfen\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">lsusb\u003C/span>\u003Cspan style=\"color:#F97583\"> |\u003C/span>\u003Cspan style=\"color:#B392F0\"> grep\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -i\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> android\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> chmod\u003C/span>\u003Cspan style=\"color:#79B8FF\"> 666\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /dev/bus/usb/XXX/XXX\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># udev-Regeln erstellen\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">echo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> 'SUBSYSTEM==\"usb\", ATTR{idVendor}==\"18d1\", MODE=\"0666\", GROUP=\"plugdev\"'\u003C/span>\u003Cspan style=\"color:#F97583\"> |\u003C/span>\u003Cspan style=\"color:#B392F0\"> sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> tee\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /etc/udev/rules.d/51-android.rules\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> udevadm\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> control\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --reload-rules\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"windows-treiber-installation\">Windows: Treiber-Installation\u003C/h3>\n\u003Col>\n\u003Cli>Geräte-Manager öffnen\u003C/li>\n\u003Cli>Android-Gerät mit Warnsymbol finden\u003C/li>\n\u003Cli>Treiber manuell installieren (Android USB Driver)\u003C/li>\n\u003C/ol>\n\u003Ch2 id=\"problem-verschlüsselte-android-backups\">Problem: Verschlüsselte Android Backups\u003C/h2>\n\u003Ch3 id=\"lösung-android-backup-extractor\">Lösung: Android Backup Extractor\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># ADB Backup Extractor installieren\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">git\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> clone\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> https://github.com/nelenkov/android-backup-extractor.git\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">cd\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> android-backup-extractor\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">gradle\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> build\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Backup entschlüsseln\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">java\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -jar\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> abe.jar\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> unpack\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> backup.ab\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> backup.tar\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> [password]\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"problem-unzureichende-berechtigungen-für-datenextraktion\">Problem: Unzureichende Berechtigungen für Datenextraktion\u003C/h2>\n\u003Ch3 id=\"lösung-alternative-extraktionsmethoden\">Lösung: Alternative Extraktionsmethoden\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># AFLogical OSE für begrenzte Extraktion ohne Root\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># WhatsApp Key/DB Extractor für spezifische Apps\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Backup-basierte Extraktion als Fallback\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Custom Recovery für erweiterten Zugang\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">fastboot\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> flash\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> recovery\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> twrp-device.img\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"problem-aleapp-parsing-fehler\">Problem: ALEAPP Parsing-Fehler\u003C/h2>\n\u003Ch3 id=\"lösung-datenformat-probleme-beheben\">Lösung: Datenformat-Probleme beheben\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Log-Dateien prüfen\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">python3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> aleapp.py\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -t\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> dir\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -i\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /path/to/data\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -o\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> output\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --debug\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Spezifische Parser deaktivieren\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Manuelle SQLite-Analyse bei Parser-Fehlern\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sqlite3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> database.db\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \".tables\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sqlite3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> database.db\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \".schema table_name\"\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch1 id=\"erweiterte-techniken\">Erweiterte Techniken\u003C/h1>\n\u003Ch2 id=\"memory-forensics-mit-lime\">Memory Forensics mit LiME\u003C/h2>\n\u003Ch3 id=\"lime-für-arm-devices-kompilieren\">LiME für ARM-Devices kompilieren\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Cross-Compilation Setup\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#F97583\">export\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> ARCH\u003C/span>\u003Cspan style=\"color:#F97583\">=\u003C/span>\u003Cspan style=\"color:#E1E4E8\">arm\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#F97583\">export\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> CROSS_COMPILE\u003C/span>\u003Cspan style=\"color:#F97583\">=\u003C/span>\u003Cspan style=\"color:#E1E4E8\">arm-linux-gnueabi-\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#F97583\">export\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> KERNEL_DIR\u003C/span>\u003Cspan style=\"color:#F97583\">=\u003C/span>\u003Cspan style=\"color:#E1E4E8\">/path/to/kernel/source\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># LiME Module kompilieren\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">git\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> clone\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> https://github.com/504ensicsLabs/LiME.git\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">cd\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> LiME/src\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">make\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Memory Dump erstellen (Root erforderlich)\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> push\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> lime.ko\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /data/local/tmp/\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> su\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -c\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"insmod /data/local/tmp/lime.ko 'path=/sdcard/memory.lime format=lime'\"\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"volatility-analyse-von-android-memory\">Volatility-Analyse von Android Memory\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Memory Dump analysieren\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">python\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> vol.py\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -f\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> memory.lime\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --profile=Linux\u003C/span>\u003Cspan style=\"color:#F97583\"> &#x3C;\u003C/span>\u003Cspan style=\"color:#9ECBFF\">profil\u003C/span>\u003Cspan style=\"color:#E1E4E8\">e\u003C/span>\u003Cspan style=\"color:#F97583\">>\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> linux.pslist\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">python\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> vol.py\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -f\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> memory.lime\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --profile=Linux\u003C/span>\u003Cspan style=\"color:#F97583\"> &#x3C;\u003C/span>\u003Cspan style=\"color:#9ECBFF\">profil\u003C/span>\u003Cspan style=\"color:#E1E4E8\">e\u003C/span>\u003Cspan style=\"color:#F97583\">>\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> linux.bash\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">python\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> vol.py\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -f\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> memory.lime\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --profile=Linux\u003C/span>\u003Cspan style=\"color:#F97583\"> &#x3C;\u003C/span>\u003Cspan style=\"color:#9ECBFF\">profil\u003C/span>\u003Cspan style=\"color:#E1E4E8\">e\u003C/span>\u003Cspan style=\"color:#F97583\">>\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> linux.netstat\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"frida-basierte-runtime-analyse\">FRIDA-basierte Runtime-Analyse\u003C/h2>\n\u003Ch3 id=\"frida-für-kryptographie-hooks\">FRIDA für Kryptographie-Hooks\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"javascript\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\">// crypto_hooks.js - SSL/TLS Traffic abfangen\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#E1E4E8\">Java.\u003C/span>\u003Cspan style=\"color:#B392F0\">perform\u003C/span>\u003Cspan style=\"color:#E1E4E8\">(\u003C/span>\u003Cspan style=\"color:#F97583\">function\u003C/span>\u003Cspan style=\"color:#E1E4E8\">() {\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#F97583\">    var\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> SSLContext \u003C/span>\u003Cspan style=\"color:#F97583\">=\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> Java.\u003C/span>\u003Cspan style=\"color:#B392F0\">use\u003C/span>\u003Cspan style=\"color:#E1E4E8\">(\u003C/span>\u003Cspan style=\"color:#9ECBFF\">\"javax.net.ssl.SSLContext\"\u003C/span>\u003Cspan style=\"color:#E1E4E8\">);\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#E1E4E8\">    SSLContext.init.\u003C/span>\u003Cspan style=\"color:#B392F0\">overload\u003C/span>\u003Cspan style=\"color:#E1E4E8\">(\u003C/span>\u003Cspan style=\"color:#9ECBFF\">'[Ljavax.net.ssl.KeyManager;'\u003C/span>\u003Cspan style=\"color:#E1E4E8\">, \u003C/span>\u003Cspan style=\"color:#9ECBFF\">'[Ljavax.net.ssl.TrustManager;'\u003C/span>\u003Cspan style=\"color:#E1E4E8\">, \u003C/span>\u003Cspan style=\"color:#9ECBFF\">'java.security.SecureRandom'\u003C/span>\u003Cspan style=\"color:#E1E4E8\">).\u003C/span>\u003Cspan style=\"color:#B392F0\">implementation\u003C/span>\u003Cspan style=\"color:#F97583\"> =\u003C/span>\u003Cspan style=\"color:#F97583\"> function\u003C/span>\u003Cspan style=\"color:#E1E4E8\">(\u003C/span>\u003Cspan style=\"color:#FFAB70\">keyManagers\u003C/span>\u003Cspan style=\"color:#E1E4E8\">, \u003C/span>\u003Cspan style=\"color:#FFAB70\">trustManagers\u003C/span>\u003Cspan style=\"color:#E1E4E8\">, \u003C/span>\u003Cspan style=\"color:#FFAB70\">secureRandom\u003C/span>\u003Cspan style=\"color:#E1E4E8\">) {\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#E1E4E8\">        console.\u003C/span>\u003Cspan style=\"color:#B392F0\">log\u003C/span>\u003Cspan style=\"color:#E1E4E8\">(\u003C/span>\u003Cspan style=\"color:#9ECBFF\">\"[+] SSLContext.init() called\"\u003C/span>\u003Cspan style=\"color:#E1E4E8\">);\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">        this\u003C/span>\u003Cspan style=\"color:#E1E4E8\">.\u003C/span>\u003Cspan style=\"color:#B392F0\">init\u003C/span>\u003Cspan style=\"color:#E1E4E8\">(keyManagers, trustManagers, secureRandom);\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#E1E4E8\">    };\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#E1E4E8\">});\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"frida-installation-und-verwendung\">FRIDA Installation und Verwendung\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># FRIDA Server auf Android-Gerät installieren\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> push\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> frida-server\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /data/local/tmp/\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> su\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -c\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"chmod 755 /data/local/tmp/frida-server\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> su\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -c\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"/data/local/tmp/frida-server &#x26;\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Script ausführen\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">frida\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -U\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -l\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> crypto_hooks.js\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> com.target.package\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"custom-recovery-und-fastboot-exploits\">Custom Recovery und Fastboot-Exploits\u003C/h2>\n\u003Ch3 id=\"twrp-installation-für-forensischen-zugang\">TWRP Installation für forensischen Zugang\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Bootloader entsperren (Herstellerabhängig)\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">fastboot\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> oem\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> unlock\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Oder\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">fastboot\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> flashing\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> unlock\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># TWRP flashen\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">fastboot\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> flash\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> recovery\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> twrp-device.img\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">fastboot\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> boot\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> twrp-device.img\u003C/span>\u003Cspan style=\"color:#6A737D\">  # Temporäre Installation\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># In TWRP: ADB-Zugang mit Root-Berechtigungen\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mount\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /system\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mount\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /data\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"partitions-imaging-mit-dd\">Partitions-Imaging mit dd\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Vollständige Partition-Liste\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> cat\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /proc/partitions\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Kritische Partitionen extrahieren\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> dd\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> if=/dev/block/bootdevice/by-name/system\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> of=/external_sd/system.img\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> dd\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> if=/dev/block/bootdevice/by-name/userdata\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> of=/external_sd/userdata.img\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> dd\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> if=/dev/block/bootdevice/by-name/boot\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> of=/external_sd/boot.img\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"sqlite-forensics-und-gelöschte-daten\">SQLite Forensics und gelöschte Daten\u003C/h2>\n\u003Ch3 id=\"erweiterte-sqlite-analyse\">Erweiterte SQLite-Analyse\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Freelist-Analyse für gelöschte Einträge\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sqlite3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> database.db\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"PRAGMA freelist_count;\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sqlite3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> database.db\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"PRAGMA page_size;\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># WAL-Datei Analyse\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sqlite3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> database.db\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"PRAGMA wal_checkpoint;\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">strings\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> database.db-wal\u003C/span>\u003Cspan style=\"color:#F97583\"> |\u003C/span>\u003Cspan style=\"color:#B392F0\"> grep\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -i\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"search_term\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Undark für Deleted Record Recovery\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">undark\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> database.db\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --freelist\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --export-csv\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"timeline-rekonstruktion\">Timeline-Rekonstruktion\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Autopsy Timeline-Generierung\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Tools → Generate Timeline\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Analyse von MAC-Times (Modified, Accessed, Created)\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Plaso Timeline-Tools\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">log2timeline.py\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> timeline.plaso\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /path/to/android/data/\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">psort.py\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -o\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> dynamic\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> timeline.plaso\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"weiterführende-ressourcen\">Weiterführende Ressourcen\u003C/h2>\n\u003Ch3 id=\"dokumentation-und-standards\">Dokumentation und Standards\u003C/h3>\n\u003Cul>\n\u003Cli>\u003Ca href=\"https://csrc.nist.gov/pubs/sp/800/101/r1/final\">NIST SP 800-101 Rev. 1 - Mobile Device Forensics Guidelines\u003C/a>\u003C/li>\n\u003Cli>\u003Ca href=\"https://www.sans.org/cyber-security-courses/advanced-smartphone-mobile-device-forensics/\">SANS FOR585 - Smartphone Forensics\u003C/a>\u003C/li>\n\u003Cli>\u003Ca href=\"https://github.com/abrignoni/ALEAPP\">ALEAPP GitHub Repository\u003C/a>\u003C/li>\n\u003Cli>\u003Ca href=\"https://docs.mvt.re/en/latest/\">MVT Documentation\u003C/a>\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"community-und-weiterbildung\">Community und Weiterbildung\u003C/h3>\n\u003Cul>\n\u003Cli>\u003Ca href=\"https://sleuthkit.org/autopsy/docs/\">Autopsy User Documentation\u003C/a>\u003C/li>\n\u003Cli>\u003Ca href=\"https://github.com/impillar/AndroidReferences/blob/master/AndroidTools.md\">Android Forensics References\u003C/a>\u003C/li>\n\u003Cli>\u003Ca href=\"https://github.com/mesquidar/ForensicsTools\">Digital Forensics Framework Collection\u003C/a>\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"spezialisierte-tools\">Spezialisierte Tools\u003C/h3>\n\u003Cul>\n\u003Cli>\u003Ca href=\"https://github.com/bkerler/mtkclient\">MTKClient für MediaTek Exploits\u003C/a>\u003C/li>\n\u003Cli>\u003Ca href=\"https://github.com/nowsecure/android-forensics\">Android Forensics Framework\u003C/a>\u003C/li>\n\u003Cli>\u003Ca href=\"https://santoku-linux.com/\">Santoku Linux Mobile Forensics Distribution\u003C/a>\u003C/li>\n\u003C/ul>\n\u003Chr>\n\u003Cp>\u003Cstrong>Wichtiger Hinweis\u003C/strong>: Diese Anleitung dient ausschließlich für autorisierte forensische Untersuchungen. Stellen Sie sicher, dass Sie über entsprechende rechtliche Befugnisse verfügen, bevor Sie diese Techniken anwenden. Bei Zweifeln konsultieren Sie Rechtsberatung.\u003C/p>",{"headings":365,"localImagePaths":587,"remoteImagePaths":588,"frontmatter":346,"imagePaths":589},[366,367,370,373,374,377,380,382,385,388,391,394,397,400,403,406,407,410,413,416,419,422,425,428,431,434,435,438,441,444,447,450,453,456,459,462,465,468,471,474,475,478,481,484,487,490,493,496,499,502,505,508,509,512,515,518,521,524,527,530,533,536,539,542,545,548,551,554,557,560,563,566,569,572,575,578,581,584],{"depth":43,"slug":44,"text":45},{"depth":47,"slug":368,"text":369},"kernkomponenten-des-open-source-forensik-stacks","Kernkomponenten des Open-Source Forensik-Stacks",{"depth":47,"slug":371,"text":372},"erfolgsraten-nach-gerätealter","Erfolgsraten nach Gerätealter",{"depth":43,"slug":48,"text":49},{"depth":47,"slug":375,"text":376},"sift-workstation-setup","SIFT Workstation Setup",{"depth":51,"slug":378,"text":379},"systemanforderungen","Systemanforderungen",{"depth":51,"slug":381,"text":49},"installation-1",{"depth":47,"slug":383,"text":384},"autopsy-installation","Autopsy Installation",{"depth":51,"slug":386,"text":387},"windows-installation","Windows Installation",{"depth":51,"slug":389,"text":390},"linux-installation","Linux Installation",{"depth":47,"slug":392,"text":393},"essential-tools-installation","Essential Tools Installation",{"depth":51,"slug":395,"text":396},"android-debug-bridge-adb","Android Debug Bridge (ADB)",{"depth":51,"slug":398,"text":399},"aleapp-installation","ALEAPP Installation",{"depth":51,"slug":401,"text":402},"mobile-verification-toolkit-mvt","Mobile Verification Toolkit (MVT)",{"depth":51,"slug":404,"text":405},"andriller-installation","Andriller Installation",{"depth":43,"slug":58,"text":59},{"depth":47,"slug":408,"text":409},"adb-setup-und-gerätevorbereitung","ADB Setup und Gerätevorbereitung",{"depth":51,"slug":411,"text":412},"usb-debugging-aktivieren","USB-Debugging aktivieren",{"depth":51,"slug":414,"text":415},"adb-verbindung-testen","ADB Verbindung testen",{"depth":47,"slug":417,"text":418},"autopsy-projektkonfiguration","Autopsy Projektkonfiguration",{"depth":51,"slug":420,"text":421},"case-setup","Case-Setup",{"depth":51,"slug":423,"text":424},"android-analyzer-module-aktivieren","Android Analyzer Module aktivieren",{"depth":51,"slug":426,"text":427},"hash-algorithmen-konfigurieren","Hash-Algorithmen konfigurieren",{"depth":47,"slug":429,"text":430},"mvt-konfiguration","MVT Konfiguration",{"depth":51,"slug":432,"text":433},"konfigurationsdatei-erstellen","Konfigurationsdatei erstellen",{"depth":43,"slug":70,"text":71},{"depth":47,"slug":436,"text":437},"fall-1-logische-datenextraktion-mit-adb","Fall 1: Logische Datenextraktion mit ADB",{"depth":51,"slug":439,"text":440},"geräteinformationen-sammeln","Geräteinformationen sammeln",{"depth":51,"slug":442,"text":443},"datenbank-extraktion","Datenbank-Extraktion",{"depth":51,"slug":445,"text":446},"whatsapp-datenextraktion","WhatsApp Datenextraktion",{"depth":47,"slug":448,"text":449},"fall-2-android-backup-analyse","Fall 2: Android Backup-Analyse",{"depth":51,"slug":451,"text":452},"vollständiges-backup-erstellen","Vollständiges Backup erstellen",{"depth":51,"slug":454,"text":455},"backup-mit-aleapp-analysieren","Backup mit ALEAPP analysieren",{"depth":47,"slug":457,"text":458},"fall-3-mvt-kompromittierungsanalyse","Fall 3: MVT Kompromittierungsanalyse",{"depth":51,"slug":460,"text":461},"live-geräteanalyse","Live-Geräteanalyse",{"depth":51,"slug":463,"text":464},"ioc-suche-mit-pegasus-indikatoren","IOC-Suche mit Pegasus-Indikatoren",{"depth":47,"slug":466,"text":467},"fall-4-physische-extraktion-root-erforderlich","Fall 4: Physische Extraktion (Root erforderlich)",{"depth":51,"slug":469,"text":470},"device-rooting---mediatek-geräte","Device Rooting - 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\ No newline at end of file
+[["Map",1,2,7,8],"meta::meta",["Map",3,4,5,6],"astro-version","5.12.6","astro-config-digest","{\"root\":{},\"srcDir\":{},\"publicDir\":{},\"outDir\":{},\"cacheDir\":{},\"compressHTML\":true,\"base\":\"/\",\"trailingSlash\":\"ignore\",\"output\":\"server\",\"scopedStyleStrategy\":\"attribute\",\"build\":{\"format\":\"directory\",\"client\":{},\"server\":{},\"assets\":\"_astro\",\"serverEntry\":\"entry.mjs\",\"redirects\":true,\"inlineStylesheets\":\"auto\",\"concurrency\":1},\"server\":{\"open\":false,\"host\":true,\"port\":4321,\"streaming\":true,\"allowedHosts\":[]},\"redirects\":{},\"image\":{\"endpoint\":{\"route\":\"/_image\",\"entrypoint\":\"astro/assets/endpoint/node\"},\"service\":{\"entrypoint\":\"astro/assets/services/sharp\",\"config\":{}},\"domains\":[],\"remotePatterns\":[],\"responsiveStyles\":false},\"devToolbar\":{\"enabled\":true},\"markdown\":{\"syntaxHighlight\":{\"type\":\"shiki\",\"excludeLangs\":[\"math\"]},\"shikiConfig\":{\"langs\":[],\"langAlias\":{},\"theme\":\"github-dark\",\"themes\":{},\"wrap\":false,\"transformers\":[]},\"remarkPlugins\":[],\"rehypePlugins\":[],\"remarkRehype\":{},\"gfm\":true,\"smartypants\":true},\"security\":{\"checkOrigin\":true},\"env\":{\"schema\":{},\"validateSecrets\":false},\"experimental\":{\"clientPrerender\":false,\"contentIntellisense\":false,\"headingIdCompat\":false,\"preserveScriptOrder\":false,\"liveContentCollections\":false,\"csp\":false,\"rawEnvValues\":false},\"legacy\":{\"collections\":false},\"session\":{\"driver\":\"fs-lite\",\"options\":{\"base\":\"/var/home/user01/Projekte/forensic-pathways/node_modules/.astro/sessions\"}}}","knowledgebase",["Map",9,10,100,101,174,175,223,224,288,289,535,536],"misp",{"id":9,"data":11,"body":35,"filePath":36,"digest":37,"rendered":38,"legacyId":99},{"title":12,"tool_name":13,"description":14,"last_updated":15,"author":16,"difficulty":17,"categories":18,"tags":24,"sections":31,"review_status":34},"MISP - Plattform für Threat Intelligence Sharing","MISP","Das Rückgrat des modernen Threat-Intelligence-Sharings mit über 40.000 aktiven Instanzen weltweit.",["Date","2025-07-20T00:00:00.000Z"],"Claude 4 Sonnet","intermediate",[19,20,21,22,23],"incident-response","static-investigations","malware-analysis","network-forensics","cloud-forensics",[25,26,27,28,29,30],"web-based","threat-intelligence","api","correlation","ioc-sharing","automation",{"overview":32,"installation":32,"configuration":32,"usage_examples":32,"best_practices":32,"troubleshooting":32,"advanced_topics":33},true,false,"published","> **⚠️ Hinweis**: Dies ist ein vorläufiger, KI-generierter Knowledgebase-Eintrag. Wir freuen uns über Verbesserungen und Ergänzungen durch die Community!\n\n\n# Übersicht\n\n**MISP (Malware Information Sharing Platform & Threat Sharing)** ist eine freie Open-Source-Plattform zur strukturierten Erfassung, Speicherung, Analyse und gemeinsamen Nutzung von Cyber-Bedrohungsdaten. Mit über 40.000 Instanzen weltweit ist MISP der De-facto-Standard für den Austausch von Indicators of Compromise (IoCs) und Threat Intelligence zwischen CERTs, SOCs, Strafverfolgungsbehörden und anderen sicherheitsrelevanten Organisationen.\n\nDie föderierte Architektur ermöglicht einen kontrollierten, dezentralen Austausch von Informationen über vertrauenswürdige Partner hinweg. Durch Taxonomien, Tags und integrierte APIs ist eine automatische Anreicherung, Korrelation und Verarbeitung von Informationen in SIEMs, Firewalls oder Endpoint-Lösungen möglich.\n\n## Installation\n\n### Voraussetzungen\n\n- **Server-Betriebssystem:** Linux (empfohlen: Debian/Ubuntu)\n- **Abhängigkeiten:** MariaDB/MySQL, PHP, Apache/Nginx, Redis\n- **Ressourcen:** Mindestens 4 GB RAM, SSD empfohlen\n\n### Installationsschritte\n\n```bash\n# Beispiel für Debian/Ubuntu:\nsudo apt update && sudo apt install -y curl gnupg git python3 python3-pip redis-server mariadb-server apache2 php libapache2-mod-php\n\n# MISP klonen\ngit clone https://github.com/MISP/MISP.git /var/www/MISP\n\n# Setup-Skript nutzen\ncd /var/www/MISP && bash INSTALL/INSTALL.debian.sh\n````\n\nWeitere Details: [Offizielle Installationsanleitung](https://misp.github.io/MISP/INSTALL.debian/)\n\n## Konfiguration\n\n### Webserver\n\n* HTTPS aktivieren (Let's Encrypt oder Reverse Proxy)\n* PHP-Konfiguration anpassen (`upload_max_filesize`, `memory_limit`, `post_max_size`)\n\n### Benutzerrollen\n\n* Administrator, Org-Admin, Analyst etc.\n* Zugriffsbeschränkungen nach Organisation/Feed definierbar\n\n### Feeds und Galaxies\n\n* Aktivierung von Feeds (z. B. CIRCL, Abuse.ch, OpenCTI)\n* Nutzung von Galaxies zur Klassifizierung (APT-Gruppen, Malware-Familien)\n\n## Verwendungsbeispiele\n\n### Beispiel 1: Import von IoCs aus externem Feed\n\n1. Feed aktivieren unter **Administration → List Feeds**\n2. Feed synchronisieren\n3. Ereignisse durchsuchen, analysieren, ggf. mit eigenen Daten korrelieren\n\n### Beispiel 2: Automatisierte Anbindung an SIEM\n\n* REST-API-Token erstellen\n* API-Calls zur Abfrage neuer Events (z. B. mit Python, Logstash oder MISP Workbench)\n* Integration in Security-Systeme über JSON/STIX export\n\n## Best Practices\n\n* Regelmäßige Backups der Datenbank\n* Taxonomien konsistent verwenden\n* Nutzung der Sighting-Funktion zur Validierung von IoCs\n* Vertrauensstufen (TLP, PAP) korrekt setzen\n* Nicht nur konsumieren – auch teilen!\n\n## Troubleshooting\n\n### Problem: MISP-Feeds laden nicht\n\n**Lösung:**\n\n* Internetverbindung prüfen\n* Cronjobs aktiv?\n* Logs prüfen: `/var/www/MISP/app/tmp/logs/error.log`\n\n### Problem: API gibt 403 zurück\n\n**Lösung:**\n\n* Ist der API-Key korrekt und aktiv?\n* Rechte des Benutzers überprüfen\n* IP-Filter im MISP-Backend beachten\n\n### Problem: Hohe Datenbanklast\n\n**Lösung:**\n\n* Indizes optimieren\n* Redis aktivieren\n* Alte Events regelmäßig archivieren oder löschen\n\n## Weiterführende Themen\n\n* STIX2-Import/Export\n* Erweiterungen mit MISP Modules (z. B. für Virustotal, YARA)\n* Föderierte Netzwerke und Community-Portale\n* Integration mit OpenCTI oder TheHive\n\n---\n\n**Links:**\n\n* 🌐 [Offizielle Projektseite](https://misp-project.org/)\n* 📦 [CC24-MISP-Instanz](https://misp.cc24.dev)\n* 📊 [Status-Monitoring](https://status.mikoshi.de/api/badge/34/status)\n\nLizenz: **AGPL-3.0**","src/content/knowledgebase/misp.md","35930fa919a46964",{"html":39,"metadata":40},"\u003Cblockquote>\n\u003Cp>\u003Cstrong>⚠️ Hinweis\u003C/strong>: Dies ist ein vorläufiger, KI-generierter Knowledgebase-Eintrag. Wir freuen uns über Verbesserungen und Ergänzungen durch die Community!\u003C/p>\n\u003C/blockquote>\n\u003Ch1 id=\"übersicht\">Übersicht\u003C/h1>\n\u003Cp>\u003Cstrong>MISP (Malware Information Sharing Platform &#x26; Threat Sharing)\u003C/strong> ist eine freie Open-Source-Plattform zur strukturierten Erfassung, Speicherung, Analyse und gemeinsamen Nutzung von Cyber-Bedrohungsdaten. Mit über 40.000 Instanzen weltweit ist MISP der De-facto-Standard für den Austausch von Indicators of Compromise (IoCs) und Threat Intelligence zwischen CERTs, SOCs, Strafverfolgungsbehörden und anderen sicherheitsrelevanten Organisationen.\u003C/p>\n\u003Cp>Die föderierte Architektur ermöglicht einen kontrollierten, dezentralen Austausch von Informationen über vertrauenswürdige Partner hinweg. Durch Taxonomien, Tags und integrierte APIs ist eine automatische Anreicherung, Korrelation und Verarbeitung von Informationen in SIEMs, Firewalls oder Endpoint-Lösungen möglich.\u003C/p>\n\u003Ch2 id=\"installation\">Installation\u003C/h2>\n\u003Ch3 id=\"voraussetzungen\">Voraussetzungen\u003C/h3>\n\u003Cul>\n\u003Cli>\u003Cstrong>Server-Betriebssystem:\u003C/strong> Linux (empfohlen: Debian/Ubuntu)\u003C/li>\n\u003Cli>\u003Cstrong>Abhängigkeiten:\u003C/strong> MariaDB/MySQL, PHP, Apache/Nginx, Redis\u003C/li>\n\u003Cli>\u003Cstrong>Ressourcen:\u003C/strong> Mindestens 4 GB RAM, SSD empfohlen\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"installationsschritte\">Installationsschritte\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Beispiel für Debian/Ubuntu:\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> update\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> &#x26;&#x26; \u003C/span>\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> install\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -y\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> curl\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> gnupg\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> git\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> python3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> python3-pip\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> redis-server\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mariadb-server\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apache2\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> php\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> libapache2-mod-php\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># MISP klonen\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">git\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> clone\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> https://github.com/MISP/MISP.git\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /var/www/MISP\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Setup-Skript nutzen\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">cd\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /var/www/MISP\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> &#x26;&#x26; \u003C/span>\u003Cspan style=\"color:#B392F0\">bash\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> INSTALL/INSTALL.debian.sh\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Cp>Weitere Details: \u003Ca href=\"https://misp.github.io/MISP/INSTALL.debian/\">Offizielle Installationsanleitung\u003C/a>\u003C/p>\n\u003Ch2 id=\"konfiguration\">Konfiguration\u003C/h2>\n\u003Ch3 id=\"webserver\">Webserver\u003C/h3>\n\u003Cul>\n\u003Cli>HTTPS aktivieren (Let’s Encrypt oder Reverse Proxy)\u003C/li>\n\u003Cli>PHP-Konfiguration anpassen (\u003Ccode>upload_max_filesize\u003C/code>, \u003Ccode>memory_limit\u003C/code>, \u003Ccode>post_max_size\u003C/code>)\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"benutzerrollen\">Benutzerrollen\u003C/h3>\n\u003Cul>\n\u003Cli>Administrator, Org-Admin, Analyst etc.\u003C/li>\n\u003Cli>Zugriffsbeschränkungen nach Organisation/Feed definierbar\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"feeds-und-galaxies\">Feeds und Galaxies\u003C/h3>\n\u003Cul>\n\u003Cli>Aktivierung von Feeds (z. B. CIRCL, Abuse.ch, OpenCTI)\u003C/li>\n\u003Cli>Nutzung von Galaxies zur Klassifizierung (APT-Gruppen, Malware-Familien)\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"verwendungsbeispiele\">Verwendungsbeispiele\u003C/h2>\n\u003Ch3 id=\"beispiel-1-import-von-iocs-aus-externem-feed\">Beispiel 1: Import von IoCs aus externem Feed\u003C/h3>\n\u003Col>\n\u003Cli>Feed aktivieren unter \u003Cstrong>Administration → List Feeds\u003C/strong>\u003C/li>\n\u003Cli>Feed synchronisieren\u003C/li>\n\u003Cli>Ereignisse durchsuchen, analysieren, ggf. mit eigenen Daten korrelieren\u003C/li>\n\u003C/ol>\n\u003Ch3 id=\"beispiel-2-automatisierte-anbindung-an-siem\">Beispiel 2: Automatisierte Anbindung an SIEM\u003C/h3>\n\u003Cul>\n\u003Cli>REST-API-Token erstellen\u003C/li>\n\u003Cli>API-Calls zur Abfrage neuer Events (z. B. mit Python, Logstash oder MISP Workbench)\u003C/li>\n\u003Cli>Integration in Security-Systeme über JSON/STIX export\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"best-practices\">Best Practices\u003C/h2>\n\u003Cul>\n\u003Cli>Regelmäßige Backups der Datenbank\u003C/li>\n\u003Cli>Taxonomien konsistent verwenden\u003C/li>\n\u003Cli>Nutzung der Sighting-Funktion zur Validierung von IoCs\u003C/li>\n\u003Cli>Vertrauensstufen (TLP, PAP) korrekt setzen\u003C/li>\n\u003Cli>Nicht nur konsumieren – auch teilen!\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"troubleshooting\">Troubleshooting\u003C/h2>\n\u003Ch3 id=\"problem-misp-feeds-laden-nicht\">Problem: MISP-Feeds laden nicht\u003C/h3>\n\u003Cp>\u003Cstrong>Lösung:\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Internetverbindung prüfen\u003C/li>\n\u003Cli>Cronjobs aktiv?\u003C/li>\n\u003Cli>Logs prüfen: \u003Ccode>/var/www/MISP/app/tmp/logs/error.log\u003C/code>\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"problem-api-gibt-403-zurück\">Problem: API gibt 403 zurück\u003C/h3>\n\u003Cp>\u003Cstrong>Lösung:\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Ist der API-Key korrekt und aktiv?\u003C/li>\n\u003Cli>Rechte des Benutzers überprüfen\u003C/li>\n\u003Cli>IP-Filter im MISP-Backend beachten\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"problem-hohe-datenbanklast\">Problem: Hohe Datenbanklast\u003C/h3>\n\u003Cp>\u003Cstrong>Lösung:\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Indizes optimieren\u003C/li>\n\u003Cli>Redis aktivieren\u003C/li>\n\u003Cli>Alte Events regelmäßig archivieren oder löschen\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"weiterführende-themen\">Weiterführende Themen\u003C/h2>\n\u003Cul>\n\u003Cli>STIX2-Import/Export\u003C/li>\n\u003Cli>Erweiterungen mit MISP Modules (z. B. für Virustotal, YARA)\u003C/li>\n\u003Cli>Föderierte Netzwerke und Community-Portale\u003C/li>\n\u003Cli>Integration mit OpenCTI oder TheHive\u003C/li>\n\u003C/ul>\n\u003Chr>\n\u003Cp>\u003Cstrong>Links:\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>🌐 \u003Ca href=\"https://misp-project.org/\">Offizielle Projektseite\u003C/a>\u003C/li>\n\u003Cli>📦 \u003Ca href=\"https://misp.cc24.dev\">CC24-MISP-Instanz\u003C/a>\u003C/li>\n\u003Cli>📊 \u003Ca href=\"https://status.mikoshi.de/api/badge/34/status\">Status-Monitoring\u003C/a>\u003C/li>\n\u003C/ul>\n\u003Cp>Lizenz: \u003Cstrong>AGPL-3.0\u003C/strong>\u003C/p>",{"headings":41,"localImagePaths":96,"remoteImagePaths":97,"frontmatter":11,"imagePaths":98},[42,46,50,54,57,60,63,66,69,72,75,78,81,84,87,90,93],{"depth":43,"slug":44,"text":45},1,"übersicht","Übersicht",{"depth":47,"slug":48,"text":49},2,"installation","Installation",{"depth":51,"slug":52,"text":53},3,"voraussetzungen","Voraussetzungen",{"depth":51,"slug":55,"text":56},"installationsschritte","Installationsschritte",{"depth":47,"slug":58,"text":59},"konfiguration","Konfiguration",{"depth":51,"slug":61,"text":62},"webserver","Webserver",{"depth":51,"slug":64,"text":65},"benutzerrollen","Benutzerrollen",{"depth":51,"slug":67,"text":68},"feeds-und-galaxies","Feeds und Galaxies",{"depth":47,"slug":70,"text":71},"verwendungsbeispiele","Verwendungsbeispiele",{"depth":51,"slug":73,"text":74},"beispiel-1-import-von-iocs-aus-externem-feed","Beispiel 1: Import von IoCs aus externem Feed",{"depth":51,"slug":76,"text":77},"beispiel-2-automatisierte-anbindung-an-siem","Beispiel 2: Automatisierte Anbindung an SIEM",{"depth":47,"slug":79,"text":80},"best-practices","Best Practices",{"depth":47,"slug":82,"text":83},"troubleshooting","Troubleshooting",{"depth":51,"slug":85,"text":86},"problem-misp-feeds-laden-nicht","Problem: MISP-Feeds laden nicht",{"depth":51,"slug":88,"text":89},"problem-api-gibt-403-zurück","Problem: API gibt 403 zurück",{"depth":51,"slug":91,"text":92},"problem-hohe-datenbanklast","Problem: Hohe Datenbanklast",{"depth":47,"slug":94,"text":95},"weiterführende-themen","Weiterführende Themen",[],[],[],"misp.md","kali-linux",{"id":100,"data":102,"body":117,"filePath":118,"digest":119,"rendered":120,"legacyId":173},{"title":103,"tool_name":104,"description":105,"last_updated":106,"author":16,"difficulty":17,"categories":107,"tags":110,"sections":116,"review_status":34},"Kali Linux - Die Hacker-Distribution für Forensik & Penetration Testing","Kali Linux","Leitfaden zur Installation, Nutzung und Best Practices für Kali Linux – die All-in-One-Plattform für Security-Profis.",["Date","2025-07-20T00:00:00.000Z"],[19,108,109],"forensics","penetration-testing",[111,112,109,113,114,115],"live-boot","tool-collection","forensics-suite","virtualization","arm-support",{"overview":32,"installation":32,"configuration":32,"usage_examples":32,"best_practices":32,"troubleshooting":32,"advanced_topics":32},"> **⚠️ Hinweis**: Dies ist ein vorläufiger, KI-generierter Knowledgebase-Eintrag. Wir freuen uns über Verbesserungen und Ergänzungen durch die Community!\n\n\n# Übersicht\n\nKali Linux ist eine auf Debian basierende Linux-Distribution, die speziell für Penetration Testing, digitale Forensik, Reverse Engineering und Incident Response entwickelt wurde. Mit über 600 vorinstallierten Tools ist sie ein unverzichtbares Werkzeug für Security-Experten, Ermittler und forensische Analysten. Die Live-Boot-Funktion erlaubt es, Systeme ohne Spuren zu hinterlassen zu analysieren – ideal für forensische Untersuchungen.\n\n## Installation\n\n### Option 1: Live-System (USB/DVD)\n\n1. ISO-Image von [kali.org](https://www.kali.org/get-kali/) herunterladen.\n2. Mit **Rufus** oder **balenaEtcher** auf einen USB-Stick schreiben.\n3. Vom USB-Stick booten (ggf. Boot-Reihenfolge im BIOS anpassen).\n4. Kali kann direkt ohne Installation im Live-Modus verwendet werden.\n\n### Option 2: Installation auf Festplatte\n\n1. ISO-Image booten und **Graphical Install** wählen.\n2. Schritt-für-Schritt durch den Installationsassistenten navigieren:\n   - Sprache, Zeitzone und Tastaturlayout auswählen\n   - Partitionierung konfigurieren (automatisch oder manuell)\n   - Benutzerkonten erstellen\n3. Nach Installation Neustart durchführen.\n\n### Option 3: Virtuelle Maschine (VM)\n\n- Offizielle VM-Images für VirtualBox und VMware von der [Kali-Website](https://www.kali.org/get-kali/#kali-virtual-machines)\n- Importieren, ggf. Netzwerkbrücke und Shared Folders aktivieren\n\n## Konfiguration\n\n### Netzwerkeinstellungen\n\n- Konfiguration über `nmtui` oder `/etc/network/interfaces`\n- VPN und Proxy-Integration über GUI oder Terminal\n\n### Updates & Paketquellen\n\n```bash\nsudo apt update && sudo apt full-upgrade\n````\n\n> Hinweis: `kali-rolling` ist die Standard-Distribution für kontinuierliche Updates.\n\n### Sprache & Lokalisierung\n\n```bash\nsudo dpkg-reconfigure locales\nsudo dpkg-reconfigure keyboard-configuration\n```\n\n## Verwendungsbeispiele\n\n### 1. Netzwerkscan mit Nmap\n\n```bash\nnmap -sS -T4 -A 192.168.1.0/24\n```\n\n### 2. Passwort-Cracking mit John the Ripper\n\n```bash\njohn --wordlist=/usr/share/wordlists/rockyou.txt hashes.txt\n```\n\n### 3. Forensik mit Autopsy\n\n```bash\nautopsy &\n```\n\n### 4. Android-Analyse mit MobSF (in Docker)\n\n```bash\ndocker pull opensecurity/mobile-security-framework-mobsf\ndocker run -it -p 8000:8000 mobsf\n```\n\n## Best Practices\n\n* Nutze immer **aktuelle Snapshots** oder VM-Clones vor gefährlichen Tests\n* Verwende separate Netzwerke (z. B. Host-only oder NAT) für Tests\n* Deaktiviere automatisches WLAN bei forensischen Analysen\n* Prüfe und aktualisiere regelmäßig Toolsets (`apt`, `git`, `pip`)\n* Halte deine ISO-Images versioniert für forensische Reproduzierbarkeit\n\n## Troubleshooting\n\n### Problem: Keine Internetverbindung nach Installation\n\n**Lösung:** Netzwerkadapter prüfen, ggf. mit `ifconfig` oder `ip a` überprüfen, DHCP aktivieren.\n\n### Problem: Tools fehlen nach Update\n\n**Lösung:** Tool-Gruppen wie `kali-linux-default` manuell nachinstallieren:\n\n```bash\nsudo apt install kali-linux-default\n```\n\n### Problem: „Permission Denied“ bei Tools\n\n**Lösung:** Root-Rechte nutzen oder mit `sudo` ausführen.\n\n## Weiterführende Themen\n\n* **Kustomisierung von Kali ISOs** mit `live-build`\n* **NetHunter**: Kali für mobile Geräte (Android)\n* **Kali Purple**: Defensive Security Suite\n* Integration mit **Cloud-Infrastrukturen** via WSL oder Azure\n\n---\n\n**Links & Ressourcen:**\n\n* Offizielle Website: [https://kali.org](https://kali.org/)\n* Dokumentation: [https://docs.kali.org/](https://docs.kali.org/)\n* GitLab Repo: [https://gitlab.com/kalilinux](https://gitlab.com/kalilinux)\n* Discord-Community: [https://discord.com/invite/kali-linux](https://discord.com/invite/kali-linux)","src/content/knowledgebase/kali-linux.md","09243ebc79d75dbc",{"html":121,"metadata":122},"\u003Cblockquote>\n\u003Cp>\u003Cstrong>⚠️ Hinweis\u003C/strong>: Dies ist ein vorläufiger, KI-generierter Knowledgebase-Eintrag. Wir freuen uns über Verbesserungen und Ergänzungen durch die Community!\u003C/p>\n\u003C/blockquote>\n\u003Ch1 id=\"übersicht\">Übersicht\u003C/h1>\n\u003Cp>Kali Linux ist eine auf Debian basierende Linux-Distribution, die speziell für Penetration Testing, digitale Forensik, Reverse Engineering und Incident Response entwickelt wurde. Mit über 600 vorinstallierten Tools ist sie ein unverzichtbares Werkzeug für Security-Experten, Ermittler und forensische Analysten. Die Live-Boot-Funktion erlaubt es, Systeme ohne Spuren zu hinterlassen zu analysieren – ideal für forensische Untersuchungen.\u003C/p>\n\u003Ch2 id=\"installation\">Installation\u003C/h2>\n\u003Ch3 id=\"option-1-live-system-usbdvd\">Option 1: Live-System (USB/DVD)\u003C/h3>\n\u003Col>\n\u003Cli>ISO-Image von \u003Ca href=\"https://www.kali.org/get-kali/\">kali.org\u003C/a> herunterladen.\u003C/li>\n\u003Cli>Mit \u003Cstrong>Rufus\u003C/strong> oder \u003Cstrong>balenaEtcher\u003C/strong> auf einen USB-Stick schreiben.\u003C/li>\n\u003Cli>Vom USB-Stick booten (ggf. Boot-Reihenfolge im BIOS anpassen).\u003C/li>\n\u003Cli>Kali kann direkt ohne Installation im Live-Modus verwendet werden.\u003C/li>\n\u003C/ol>\n\u003Ch3 id=\"option-2-installation-auf-festplatte\">Option 2: Installation auf Festplatte\u003C/h3>\n\u003Col>\n\u003Cli>ISO-Image booten und \u003Cstrong>Graphical Install\u003C/strong> wählen.\u003C/li>\n\u003Cli>Schritt-für-Schritt durch den Installationsassistenten navigieren:\n\u003Cul>\n\u003Cli>Sprache, Zeitzone und Tastaturlayout auswählen\u003C/li>\n\u003Cli>Partitionierung konfigurieren (automatisch oder manuell)\u003C/li>\n\u003Cli>Benutzerkonten erstellen\u003C/li>\n\u003C/ul>\n\u003C/li>\n\u003Cli>Nach Installation Neustart durchführen.\u003C/li>\n\u003C/ol>\n\u003Ch3 id=\"option-3-virtuelle-maschine-vm\">Option 3: Virtuelle Maschine (VM)\u003C/h3>\n\u003Cul>\n\u003Cli>Offizielle VM-Images für VirtualBox und VMware von der \u003Ca href=\"https://www.kali.org/get-kali/#kali-virtual-machines\">Kali-Website\u003C/a>\u003C/li>\n\u003Cli>Importieren, ggf. Netzwerkbrücke und Shared Folders aktivieren\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"konfiguration\">Konfiguration\u003C/h2>\n\u003Ch3 id=\"netzwerkeinstellungen\">Netzwerkeinstellungen\u003C/h3>\n\u003Cul>\n\u003Cli>Konfiguration über \u003Ccode>nmtui\u003C/code> oder \u003Ccode>/etc/network/interfaces\u003C/code>\u003C/li>\n\u003Cli>VPN und Proxy-Integration über GUI oder Terminal\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"updates--paketquellen\">Updates &#x26; Paketquellen\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> update\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> &#x26;&#x26; \u003C/span>\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> full-upgrade\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Cblockquote>\n\u003Cp>Hinweis: \u003Ccode>kali-rolling\u003C/code> ist die Standard-Distribution für kontinuierliche Updates.\u003C/p>\n\u003C/blockquote>\n\u003Ch3 id=\"sprache--lokalisierung\">Sprache &#x26; Lokalisierung\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> dpkg-reconfigure\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> locales\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> dpkg-reconfigure\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> keyboard-configuration\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"verwendungsbeispiele\">Verwendungsbeispiele\u003C/h2>\n\u003Ch3 id=\"1-netzwerkscan-mit-nmap\">1. Netzwerkscan mit Nmap\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">nmap\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -sS\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -T4\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -A\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> 192.168.1.0/24\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"2-passwort-cracking-mit-john-the-ripper\">2. Passwort-Cracking mit John the Ripper\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">john\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --wordlist=/usr/share/wordlists/rockyou.txt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> hashes.txt\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"3-forensik-mit-autopsy\">3. Forensik mit Autopsy\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">autopsy\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> &#x26;\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"4-android-analyse-mit-mobsf-in-docker\">4. Android-Analyse mit MobSF (in Docker)\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">docker\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> pull\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> opensecurity/mobile-security-framework-mobsf\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">docker\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> run\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -it\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -p\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> 8000:8000\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mobsf\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"best-practices\">Best Practices\u003C/h2>\n\u003Cul>\n\u003Cli>Nutze immer \u003Cstrong>aktuelle Snapshots\u003C/strong> oder VM-Clones vor gefährlichen Tests\u003C/li>\n\u003Cli>Verwende separate Netzwerke (z. B. Host-only oder NAT) für Tests\u003C/li>\n\u003Cli>Deaktiviere automatisches WLAN bei forensischen Analysen\u003C/li>\n\u003Cli>Prüfe und aktualisiere regelmäßig Toolsets (\u003Ccode>apt\u003C/code>, \u003Ccode>git\u003C/code>, \u003Ccode>pip\u003C/code>)\u003C/li>\n\u003Cli>Halte deine ISO-Images versioniert für forensische Reproduzierbarkeit\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"troubleshooting\">Troubleshooting\u003C/h2>\n\u003Ch3 id=\"problem-keine-internetverbindung-nach-installation\">Problem: Keine Internetverbindung nach Installation\u003C/h3>\n\u003Cp>\u003Cstrong>Lösung:\u003C/strong> Netzwerkadapter prüfen, ggf. mit \u003Ccode>ifconfig\u003C/code> oder \u003Ccode>ip a\u003C/code> überprüfen, DHCP aktivieren.\u003C/p>\n\u003Ch3 id=\"problem-tools-fehlen-nach-update\">Problem: Tools fehlen nach Update\u003C/h3>\n\u003Cp>\u003Cstrong>Lösung:\u003C/strong> Tool-Gruppen wie \u003Ccode>kali-linux-default\u003C/code> manuell nachinstallieren:\u003C/p>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> install\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> kali-linux-default\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"problem-permission-denied-bei-tools\">Problem: „Permission Denied“ bei Tools\u003C/h3>\n\u003Cp>\u003Cstrong>Lösung:\u003C/strong> Root-Rechte nutzen oder mit \u003Ccode>sudo\u003C/code> ausführen.\u003C/p>\n\u003Ch2 id=\"weiterführende-themen\">Weiterführende Themen\u003C/h2>\n\u003Cul>\n\u003Cli>\u003Cstrong>Kustomisierung von Kali ISOs\u003C/strong> mit \u003Ccode>live-build\u003C/code>\u003C/li>\n\u003Cli>\u003Cstrong>NetHunter\u003C/strong>: Kali für mobile Geräte (Android)\u003C/li>\n\u003Cli>\u003Cstrong>Kali Purple\u003C/strong>: Defensive Security Suite\u003C/li>\n\u003Cli>Integration mit \u003Cstrong>Cloud-Infrastrukturen\u003C/strong> via WSL oder Azure\u003C/li>\n\u003C/ul>\n\u003Chr>\n\u003Cp>\u003Cstrong>Links &#x26; Ressourcen:\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Offizielle Website: \u003Ca href=\"https://kali.org/\">https://kali.org\u003C/a>\u003C/li>\n\u003Cli>Dokumentation: \u003Ca href=\"https://docs.kali.org/\">https://docs.kali.org/\u003C/a>\u003C/li>\n\u003Cli>GitLab Repo: \u003Ca href=\"https://gitlab.com/kalilinux\">https://gitlab.com/kalilinux\u003C/a>\u003C/li>\n\u003Cli>Discord-Community: \u003Ca href=\"https://discord.com/invite/kali-linux\">https://discord.com/invite/kali-linux\u003C/a>\u003C/li>\n\u003C/ul>",{"headings":123,"localImagePaths":170,"remoteImagePaths":171,"frontmatter":102,"imagePaths":172},[124,125,126,129,132,135,136,139,142,145,146,149,152,155,158,159,160,163,166,169],{"depth":43,"slug":44,"text":45},{"depth":47,"slug":48,"text":49},{"depth":51,"slug":127,"text":128},"option-1-live-system-usbdvd","Option 1: Live-System (USB/DVD)",{"depth":51,"slug":130,"text":131},"option-2-installation-auf-festplatte","Option 2: Installation auf Festplatte",{"depth":51,"slug":133,"text":134},"option-3-virtuelle-maschine-vm","Option 3: Virtuelle Maschine (VM)",{"depth":47,"slug":58,"text":59},{"depth":51,"slug":137,"text":138},"netzwerkeinstellungen","Netzwerkeinstellungen",{"depth":51,"slug":140,"text":141},"updates--paketquellen","Updates & Paketquellen",{"depth":51,"slug":143,"text":144},"sprache--lokalisierung","Sprache & Lokalisierung",{"depth":47,"slug":70,"text":71},{"depth":51,"slug":147,"text":148},"1-netzwerkscan-mit-nmap","1. Netzwerkscan mit Nmap",{"depth":51,"slug":150,"text":151},"2-passwort-cracking-mit-john-the-ripper","2. Passwort-Cracking mit John the Ripper",{"depth":51,"slug":153,"text":154},"3-forensik-mit-autopsy","3. Forensik mit Autopsy",{"depth":51,"slug":156,"text":157},"4-android-analyse-mit-mobsf-in-docker","4. Android-Analyse mit MobSF (in Docker)",{"depth":47,"slug":79,"text":80},{"depth":47,"slug":82,"text":83},{"depth":51,"slug":161,"text":162},"problem-keine-internetverbindung-nach-installation","Problem: Keine Internetverbindung nach Installation",{"depth":51,"slug":164,"text":165},"problem-tools-fehlen-nach-update","Problem: Tools fehlen nach Update",{"depth":51,"slug":167,"text":168},"problem-permission-denied-bei-tools","Problem: „Permission Denied“ bei Tools",{"depth":47,"slug":94,"text":95},[],[],[],"kali-linux.md","regular-expressions-regex",{"id":174,"data":176,"body":190,"filePath":191,"digest":192,"rendered":193,"legacyId":222},{"title":177,"tool_name":178,"description":179,"last_updated":180,"author":16,"difficulty":17,"categories":181,"tags":183,"sections":189,"review_status":34},"Regular Expressions (Regex) – Musterbasierte Textanalyse","Regular Expressions (Regex)","Pattern matching language für Suche, Extraktion und Manipulation von Text in forensischen Analysen.",["Date","2025-07-20T00:00:00.000Z"],[19,21,22,182],"fraud-investigation",[184,185,186,187,188],"pattern-matching","text-processing","log-analysis","string-manipulation","search-algorithms",{"overview":32,"installation":33,"configuration":33,"usage_examples":32,"best_practices":32,"troubleshooting":33,"advanced_topics":32},"> **⚠️ Hinweis**: Dies ist ein vorläufiger, KI-generierter Knowledgebase-Eintrag. Wir freuen uns über Verbesserungen und Ergänzungen durch die Community!\n\n\n# Übersicht\n\n**Regular Expressions (Regex)** sind ein leistungsfähiges Werkzeug zur Erkennung, Extraktion und Transformation von Zeichenfolgen anhand vordefinierter Muster. In der digitalen Forensik sind Regex-Ausdrücke unverzichtbar: Sie helfen beim Auffinden von IP-Adressen, Hash-Werten, Dateipfaden, Malware-Signaturen oder Kreditkartennummern in großen Mengen unstrukturierter Daten wie Logdateien, Netzwerktraces oder Memory Dumps.\n\nRegex ist nicht auf eine bestimmte Plattform oder Software beschränkt – es wird in nahezu allen gängigen Programmiersprachen, Texteditoren und forensischen Tools unterstützt.\n\n## Verwendungsbeispiele\n\n### 1. IP-Adressen extrahieren\n\n```regex\n\\b(?:\\d{1,3}\\.){3}\\d{1,3}\\b\n````\n\nVerwendung:\n\n* Finden von IP-Adressen in Firewall-Logs oder Packet Captures.\n* Beispiel-Zeile:\n\n  ```\n  Connection from 192.168.1.101 to port 443 established\n  ```\n\n### 2. E-Mail-Adressen identifizieren\n\n```regex\n[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}\n```\n\nVerwendung:\n\n* Erkennung von kompromittierten Accounts in Phishing-E-Mails.\n* Analyse von Useraktivitäten oder Kommunikationsverläufen.\n\n### 3. Hash-Werte erkennen (z. B. SHA-256)\n\n```regex\n\\b[A-Fa-f0-9]{64}\\b\n```\n\nVerwendung:\n\n* Extraktion von Malware-Hashes aus Memory Dumps oder YARA-Logs.\n\n### 4. Zeitstempel in Logdateien extrahieren\n\n```regex\n\\d{4}-\\d{2}-\\d{2}[ T]\\d{2}:\\d{2}:\\d{2}\n```\n\nVerwendung:\n\n* Zeitsensitive Korrelationsanalysen (z. B. bei Intrusion Detection oder Timeline-Rekonstruktionen).\n\n## Best Practices\n\n* **Regex testen**: Nutze Plattformen wie [regexr.com](https://regexr.com/) oder [regex101.com](https://regex101.com/) zur Validierung.\n* **Performance beachten**: Komplexe Ausdrücke können ineffizient sein und Systeme verlangsamen – verwende Lazy Quantifiers (`*?`, `+?`) bei Bedarf.\n* **Escape-Zeichen korrekt anwenden**: Spezielle Zeichen wie `.` oder `\\` müssen bei Bedarf mit `\\\\` oder `\\.` maskiert werden.\n* **Portabilität prüfen**: Unterschiedliche Regex-Engines (z. B. Python `re`, PCRE, JavaScript) interpretieren manche Syntax leicht unterschiedlich.\n* **Lesbarkeit fördern**: Verwende benannte Gruppen (`(?P\u003Cname>...)`) und Kommentare (`(?x)`), um reguläre Ausdrücke besser wartbar zu machen.\n\n## Weiterführende Themen\n\n### Lookaheads und Lookbehinds\n\nMit **Lookaheads** (`(?=...)`) und **Lookbehinds** (`(?\u003C=...)`) können Bedingungen formuliert werden, ohne dass der Text Teil des Matchs wird.\n\nBeispiel: Alle `.exe`-Dateinamen **ohne** das Wort `safe` davor matchen:\n\n```regex\n(?\u003C!safe\\s)[\\w-]+\\.exe\n```\n\n### Regex in Forensik-Tools\n\n* **YARA**: Unterstützt Regex zur Erstellung von Malware-Signaturen.\n* **Wireshark**: Filtert Payloads anhand von Regex-ähnlicher Syntax.\n* **Splunk & ELK**: Verwenden Regex für Logparsing und Visualisierung.\n* **Volatility Plugins**: Extrahieren Artefakte mit Regex-basierten Scans.\n\n---\n\n> 🔤 **Regex ist ein universelles Werkzeug für Analysten, Ermittler und Entwickler, um versteckte Informationen schnell und flexibel aufzuspüren.**\n>\n> Nutze es überall dort, wo Textdaten eine Rolle spielen.","src/content/knowledgebase/regular-expressions-regex.md","247bcf48ebdc9ba0",{"html":194,"metadata":195},"\u003Cblockquote>\n\u003Cp>\u003Cstrong>⚠️ Hinweis\u003C/strong>: Dies ist ein vorläufiger, KI-generierter Knowledgebase-Eintrag. Wir freuen uns über Verbesserungen und Ergänzungen durch die Community!\u003C/p>\n\u003C/blockquote>\n\u003Ch1 id=\"übersicht\">Übersicht\u003C/h1>\n\u003Cp>\u003Cstrong>Regular Expressions (Regex)\u003C/strong> sind ein leistungsfähiges Werkzeug zur Erkennung, Extraktion und Transformation von Zeichenfolgen anhand vordefinierter Muster. In der digitalen Forensik sind Regex-Ausdrücke unverzichtbar: Sie helfen beim Auffinden von IP-Adressen, Hash-Werten, Dateipfaden, Malware-Signaturen oder Kreditkartennummern in großen Mengen unstrukturierter Daten wie Logdateien, Netzwerktraces oder Memory Dumps.\u003C/p>\n\u003Cp>Regex ist nicht auf eine bestimmte Plattform oder Software beschränkt – es wird in nahezu allen gängigen Programmiersprachen, Texteditoren und forensischen Tools unterstützt.\u003C/p>\n\u003Ch2 id=\"verwendungsbeispiele\">Verwendungsbeispiele\u003C/h2>\n\u003Ch3 id=\"1-ip-adressen-extrahieren\">1. IP-Adressen extrahieren\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"regex\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">\\b(?:\\d\u003C/span>\u003Cspan style=\"color:#F97583\">{1,3}\u003C/span>\u003Cspan style=\"color:#79B8FF\">\\.)\u003C/span>\u003Cspan style=\"color:#F97583\">{3}\u003C/span>\u003Cspan style=\"color:#79B8FF\">\\d\u003C/span>\u003Cspan style=\"color:#F97583\">{1,3}\u003C/span>\u003Cspan style=\"color:#79B8FF\">\\b\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Cp>Verwendung:\u003C/p>\n\u003Cul>\n\u003Cli>\n\u003Cp>Finden von IP-Adressen in Firewall-Logs oder Packet Captures.\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Beispiel-Zeile:\u003C/p>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"plaintext\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan>Connection from 192.168.1.101 to port 443 established\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"2-e-mail-adressen-identifizieren\">2. E-Mail-Adressen identifizieren\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"regex\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">[a-zA-Z0-9._%+-]\u003C/span>\u003Cspan style=\"color:#F97583\">+\u003C/span>\u003Cspan style=\"color:#DBEDFF\">@\u003C/span>\u003Cspan style=\"color:#79B8FF\">[a-zA-Z0-9.-]\u003C/span>\u003Cspan style=\"color:#F97583\">+\u003C/span>\u003Cspan style=\"color:#79B8FF\">\\.[a-zA-Z]\u003C/span>\u003Cspan style=\"color:#F97583\">{2,}\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Cp>Verwendung:\u003C/p>\n\u003Cul>\n\u003Cli>Erkennung von kompromittierten Accounts in Phishing-E-Mails.\u003C/li>\n\u003Cli>Analyse von Useraktivitäten oder Kommunikationsverläufen.\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"3-hash-werte-erkennen-zb-sha-256\">3. Hash-Werte erkennen (z. B. SHA-256)\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"regex\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">\\b[A-Fa-f0-9]\u003C/span>\u003Cspan style=\"color:#F97583\">{64}\u003C/span>\u003Cspan style=\"color:#79B8FF\">\\b\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Cp>Verwendung:\u003C/p>\n\u003Cul>\n\u003Cli>Extraktion von Malware-Hashes aus Memory Dumps oder YARA-Logs.\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"4-zeitstempel-in-logdateien-extrahieren\">4. Zeitstempel in Logdateien extrahieren\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"regex\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">\\d\u003C/span>\u003Cspan style=\"color:#F97583\">{4}\u003C/span>\u003Cspan style=\"color:#DBEDFF\">-\u003C/span>\u003Cspan style=\"color:#79B8FF\">\\d\u003C/span>\u003Cspan style=\"color:#F97583\">{2}\u003C/span>\u003Cspan style=\"color:#DBEDFF\">-\u003C/span>\u003Cspan style=\"color:#79B8FF\">\\d\u003C/span>\u003Cspan style=\"color:#F97583\">{2}\u003C/span>\u003Cspan style=\"color:#79B8FF\">[ T]\\d\u003C/span>\u003Cspan style=\"color:#F97583\">{2}\u003C/span>\u003Cspan style=\"color:#DBEDFF\">:\u003C/span>\u003Cspan style=\"color:#79B8FF\">\\d\u003C/span>\u003Cspan style=\"color:#F97583\">{2}\u003C/span>\u003Cspan style=\"color:#DBEDFF\">:\u003C/span>\u003Cspan style=\"color:#79B8FF\">\\d\u003C/span>\u003Cspan style=\"color:#F97583\">{2}\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Cp>Verwendung:\u003C/p>\n\u003Cul>\n\u003Cli>Zeitsensitive Korrelationsanalysen (z. B. bei Intrusion Detection oder Timeline-Rekonstruktionen).\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"best-practices\">Best Practices\u003C/h2>\n\u003Cul>\n\u003Cli>\u003Cstrong>Regex testen\u003C/strong>: Nutze Plattformen wie \u003Ca href=\"https://regexr.com/\">regexr.com\u003C/a> oder \u003Ca href=\"https://regex101.com/\">regex101.com\u003C/a> zur Validierung.\u003C/li>\n\u003Cli>\u003Cstrong>Performance beachten\u003C/strong>: Komplexe Ausdrücke können ineffizient sein und Systeme verlangsamen – verwende Lazy Quantifiers (\u003Ccode>*?\u003C/code>, \u003Ccode>+?\u003C/code>) bei Bedarf.\u003C/li>\n\u003Cli>\u003Cstrong>Escape-Zeichen korrekt anwenden\u003C/strong>: Spezielle Zeichen wie \u003Ccode>.\u003C/code> oder \u003Ccode>\\\u003C/code> müssen bei Bedarf mit \u003Ccode>\\\\\u003C/code> oder \u003Ccode>\\.\u003C/code> maskiert werden.\u003C/li>\n\u003Cli>\u003Cstrong>Portabilität prüfen\u003C/strong>: Unterschiedliche Regex-Engines (z. B. Python \u003Ccode>re\u003C/code>, PCRE, JavaScript) interpretieren manche Syntax leicht unterschiedlich.\u003C/li>\n\u003Cli>\u003Cstrong>Lesbarkeit fördern\u003C/strong>: Verwende benannte Gruppen (\u003Ccode>(?P&#x3C;name>...)\u003C/code>) und Kommentare (\u003Ccode>(?x)\u003C/code>), um reguläre Ausdrücke besser wartbar zu machen.\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"weiterführende-themen\">Weiterführende Themen\u003C/h2>\n\u003Ch3 id=\"lookaheads-und-lookbehinds\">Lookaheads und Lookbehinds\u003C/h3>\n\u003Cp>Mit \u003Cstrong>Lookaheads\u003C/strong> (\u003Ccode>(?=...)\u003C/code>) und \u003Cstrong>Lookbehinds\u003C/strong> (\u003Ccode>(?&#x3C;=...)\u003C/code>) können Bedingungen formuliert werden, ohne dass der Text Teil des Matchs wird.\u003C/p>\n\u003Cp>Beispiel: Alle \u003Ccode>.exe\u003C/code>-Dateinamen \u003Cstrong>ohne\u003C/strong> das Wort \u003Ccode>safe\u003C/code> davor matchen:\u003C/p>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"regex\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#F97583\">(?&#x3C;!\u003C/span>\u003Cspan style=\"color:#DBEDFF\">safe\u003C/span>\u003Cspan style=\"color:#79B8FF\">\\s\u003C/span>\u003Cspan style=\"color:#F97583\">)\u003C/span>\u003Cspan style=\"color:#79B8FF\">[\\w-]\u003C/span>\u003Cspan style=\"color:#F97583\">+\u003C/span>\u003Cspan style=\"color:#79B8FF\">\\.\u003C/span>\u003Cspan style=\"color:#DBEDFF\">exe\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"regex-in-forensik-tools\">Regex in Forensik-Tools\u003C/h3>\n\u003Cul>\n\u003Cli>\u003Cstrong>YARA\u003C/strong>: Unterstützt Regex zur Erstellung von Malware-Signaturen.\u003C/li>\n\u003Cli>\u003Cstrong>Wireshark\u003C/strong>: Filtert Payloads anhand von Regex-ähnlicher Syntax.\u003C/li>\n\u003Cli>\u003Cstrong>Splunk &#x26; ELK\u003C/strong>: Verwenden Regex für Logparsing und Visualisierung.\u003C/li>\n\u003Cli>\u003Cstrong>Volatility Plugins\u003C/strong>: Extrahieren Artefakte mit Regex-basierten Scans.\u003C/li>\n\u003C/ul>\n\u003Chr>\n\u003Cblockquote>\n\u003Cp>🔤 \u003Cstrong>Regex ist ein universelles Werkzeug für Analysten, Ermittler und Entwickler, um versteckte Informationen schnell und flexibel aufzuspüren.\u003C/strong>\u003C/p>\n\u003Cp>Nutze es überall dort, wo Textdaten eine Rolle spielen.\u003C/p>\n\u003C/blockquote>",{"headings":196,"localImagePaths":219,"remoteImagePaths":220,"frontmatter":176,"imagePaths":221},[197,198,199,202,205,208,211,212,213,216],{"depth":43,"slug":44,"text":45},{"depth":47,"slug":70,"text":71},{"depth":51,"slug":200,"text":201},"1-ip-adressen-extrahieren","1. IP-Adressen extrahieren",{"depth":51,"slug":203,"text":204},"2-e-mail-adressen-identifizieren","2. E-Mail-Adressen identifizieren",{"depth":51,"slug":206,"text":207},"3-hash-werte-erkennen-zb-sha-256","3. Hash-Werte erkennen (z. B. SHA-256)",{"depth":51,"slug":209,"text":210},"4-zeitstempel-in-logdateien-extrahieren","4. Zeitstempel in Logdateien extrahieren",{"depth":47,"slug":79,"text":80},{"depth":47,"slug":94,"text":95},{"depth":51,"slug":214,"text":215},"lookaheads-und-lookbehinds","Lookaheads und Lookbehinds",{"depth":51,"slug":217,"text":218},"regex-in-forensik-tools","Regex in Forensik-Tools",[],[],[],"regular-expressions-regex.md","velociraptor",{"id":223,"data":225,"body":239,"filePath":240,"digest":241,"rendered":242,"legacyId":287},{"title":226,"tool_name":227,"description":228,"last_updated":229,"author":16,"difficulty":230,"categories":231,"tags":232,"sections":238,"review_status":34},"Velociraptor – Skalierbare Endpoint-Forensik mit VQL","Velociraptor","Detaillierte Anleitung und Best Practices für Velociraptor – Remote-Forensik der nächsten Generation",["Date","2025-07-20T00:00:00.000Z"],"advanced",[19,21,22],[25,233,234,235,236,237],"endpoint-monitoring","artifact-extraction","scripting","live-forensics","hunting",{"overview":32,"installation":32,"configuration":32,"usage_examples":32,"best_practices":32,"troubleshooting":32,"advanced_topics":32},"> **⚠️ Hinweis**: Dies ist ein vorläufiger, KI-generierter Knowledgebase-Eintrag. Wir freuen uns über Verbesserungen und Ergänzungen durch die Community!\n\n\n# Übersicht\n\nVelociraptor ist ein Open-Source-Tool zur Endpoint-Forensik mit Fokus auf Skalierbarkeit, Präzision und Geschwindigkeit. Es ermöglicht die zielgerichtete Erfassung und Analyse digitaler Artefakte über eine eigene Query Language – VQL (Velociraptor Query Language). Die Architektur erlaubt remote Zugriff auf tausende Endpoints gleichzeitig, ohne dass vollständige Disk-Images erforderlich sind.\n\n## Hauptmerkmale\n\n- 🌐 Web-basierte Benutzeroberfläche\n- 💡 VQL – mächtige, SQL-ähnliche Abfragesprache\n- 🚀 Hochskalierbare Hunt-Funktionalität\n- 🔍 Artefaktbasierte Sammlung (ohne Full-Image)\n- 🖥️ Plattformunterstützung für Windows, macOS, Linux\n- 📦 Apache 2.0 Lizenz – Open Source\n\nWeitere Infos: [velociraptor.app](https://www.velociraptor.app/)  \nProjektspiegel: [raptor.cc24.dev](https://raptor.cc24.dev)  \nStatus: ![Status](https://status.mikoshi.de/api/badge/33/status)\n\n---\n\n## Installation\n\n### Voraussetzungen\n\n- Python ≥ 3.9\n- Adminrechte auf dem System\n- Firewall-Freigaben für Webport (Standard: 8000)\n\n### Installation unter Linux/macOS\n\n```bash\nwget https://github.com/Velocidex/velociraptor/releases/latest/download/velociraptor\nchmod +x velociraptor\nsudo mv velociraptor /usr/local/bin/\n````\n\n### Installation unter Windows\n\n1. Download der `.exe` von der [Release-Seite](https://github.com/Velocidex/velociraptor/releases)\n2. Ausführung in PowerShell mit Adminrechten:\n\n   ```powershell\n   .\\velociraptor.exe config generate > server.config.yaml\n   ```\n\n---\n\n## Konfiguration\n\n### Server Setup\n\n1. Generiere die Konfigurationsdatei:\n\n   ```bash\n   velociraptor config generate > server.config.yaml\n   ```\n2. Starte den Server:\n\n   ```bash\n   velociraptor --config server.config.yaml frontend\n   ```\n3. Zugriff über Browser via `https://\u003Chostname>:8000`\n\n### Client Deployment\n\n* MSI/EXE für Windows, oder `deb/rpm` für Linux\n* Unterstützt automatische Registrierung am Server\n* Deployment über GPO, Puppet, Ansible etc. möglich\n\n---\n\n## Verwendungsbeispiele\n\n### 1. Live-Memory-Artefakte sammeln\n\n```vql\nSELECT * FROM Artifact.MemoryInfo()\n```\n\n### 2. Hunt starten auf verdächtige Prozesse\n\n```vql\nSELECT * FROM pslist()\nWHERE Name =~ \"mimikatz|cobaltstrike\"\n```\n\n### 3. Dateiinhalt extrahieren\n\n```vql\nSELECT * FROM glob(globs=\"C:\\\\Users\\\\*\\\\AppData\\\\*.dat\")\n```\n\n---\n\n## Best Practices\n\n* Erstelle eigene Artefakte für unternehmensspezifische Bedrohungsmodelle\n* Verwende \"Notebook\"-Funktion für strukturierte Analysen\n* Nutze \"Labels\", um Endpoints zu organisieren (z. B. `location:Berlin`)\n* Kombiniere Velociraptor mit SIEM/EDR-Systemen über REST API\n\n---\n\n## Troubleshooting\n\n### Problem: Keine Verbindung vom Client zum Server\n\n**Lösung:**\n\n* Ports freigegeben? (Default: 8000/tcp)\n* TLS-Zertifikate korrekt generiert?\n* `server.config.yaml` auf korrekte `public_ip` prüfen\n\n### Problem: Hunt hängt in Warteschleife\n\n**Lösung:**\n\n* Genügend Worker-Prozesse aktiv?\n* Endpoint online?\n* `log_level` auf `debug` setzen und Log analysieren\n\n---\n\n## Weiterführende Themen\n\n* Eigene Artefakte schreiben mit VQL\n* Integration mit ELK Stack\n* Automatisiertes Incident Response Playbook\n* Velociraptor als IR-as-a-Service einsetzen\n\n---\n\n🧠 **Tipp:** Die Lernkurve bei VQL ist steil – aber mit hohem ROI. Testumgebung aufsetzen und mit Community-Artefakten starten.\n\n📚 Weitere Ressourcen:\n\n* [Offizielle Doku](https://docs.velociraptor.app/)\n* [YouTube Channel](https://www.youtube.com/c/VelociraptorDFIR)\n* [Community auf Discord](https://www.velociraptor.app/community/)","src/content/knowledgebase/velociraptor.md","05636b9b97e61d17",{"html":243,"metadata":244},"\u003Cblockquote>\n\u003Cp>\u003Cstrong>⚠️ Hinweis\u003C/strong>: Dies ist ein vorläufiger, KI-generierter Knowledgebase-Eintrag. Wir freuen uns über Verbesserungen und Ergänzungen durch die Community!\u003C/p>\n\u003C/blockquote>\n\u003Ch1 id=\"übersicht\">Übersicht\u003C/h1>\n\u003Cp>Velociraptor ist ein Open-Source-Tool zur Endpoint-Forensik mit Fokus auf Skalierbarkeit, Präzision und Geschwindigkeit. Es ermöglicht die zielgerichtete Erfassung und Analyse digitaler Artefakte über eine eigene Query Language – VQL (Velociraptor Query Language). Die Architektur erlaubt remote Zugriff auf tausende Endpoints gleichzeitig, ohne dass vollständige Disk-Images erforderlich sind.\u003C/p>\n\u003Ch2 id=\"hauptmerkmale\">Hauptmerkmale\u003C/h2>\n\u003Cul>\n\u003Cli>🌐 Web-basierte Benutzeroberfläche\u003C/li>\n\u003Cli>💡 VQL – mächtige, SQL-ähnliche Abfragesprache\u003C/li>\n\u003Cli>🚀 Hochskalierbare Hunt-Funktionalität\u003C/li>\n\u003Cli>🔍 Artefaktbasierte Sammlung (ohne Full-Image)\u003C/li>\n\u003Cli>🖥️ Plattformunterstützung für Windows, macOS, Linux\u003C/li>\n\u003Cli>📦 Apache 2.0 Lizenz – Open Source\u003C/li>\n\u003C/ul>\n\u003Cp>Weitere Infos: \u003Ca href=\"https://www.velociraptor.app/\">velociraptor.app\u003C/a>\u003Cbr>\nProjektspiegel: \u003Ca href=\"https://raptor.cc24.dev\">raptor.cc24.dev\u003C/a>\u003Cbr>\nStatus: \u003Cimg src=\"https://status.mikoshi.de/api/badge/33/status\" alt=\"Status\">\u003C/p>\n\u003Chr>\n\u003Ch2 id=\"installation\">Installation\u003C/h2>\n\u003Ch3 id=\"voraussetzungen\">Voraussetzungen\u003C/h3>\n\u003Cul>\n\u003Cli>Python ≥ 3.9\u003C/li>\n\u003Cli>Adminrechte auf dem System\u003C/li>\n\u003Cli>Firewall-Freigaben für Webport (Standard: 8000)\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"installation-unter-linuxmacos\">Installation unter Linux/macOS\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">wget\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> https://github.com/Velocidex/velociraptor/releases/latest/download/velociraptor\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">chmod\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> +x\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> velociraptor\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mv\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> velociraptor\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /usr/local/bin/\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"installation-unter-windows\">Installation unter Windows\u003C/h3>\n\u003Col>\n\u003Cli>\n\u003Cp>Download der \u003Ccode>.exe\u003C/code> von der \u003Ca href=\"https://github.com/Velocidex/velociraptor/releases\">Release-Seite\u003C/a>\u003C/p>\n\u003C/li>\n\u003Cli>\n\u003Cp>Ausführung in PowerShell mit Adminrechten:\u003C/p>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"powershell\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#E1E4E8\">.\\\u003C/span>\u003Cspan style=\"color:#79B8FF\">velociraptor.exe\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> config generate \u003C/span>\u003Cspan style=\"color:#F97583\">>\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> server.config.yaml\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003C/li>\n\u003C/ol>\n\u003Chr>\n\u003Ch2 id=\"konfiguration\">Konfiguration\u003C/h2>\n\u003Ch3 id=\"server-setup\">Server Setup\u003C/h3>\n\u003Col>\n\u003Cli>\n\u003Cp>Generiere die Konfigurationsdatei:\u003C/p>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">velociraptor\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> config\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> generate\u003C/span>\u003Cspan style=\"color:#F97583\"> >\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> server.config.yaml\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003C/li>\n\u003Cli>\n\u003Cp>Starte den Server:\u003C/p>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">velociraptor\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --config\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> server.config.yaml\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> frontend\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003C/li>\n\u003Cli>\n\u003Cp>Zugriff über Browser via \u003Ccode>https://&#x3C;hostname>:8000\u003C/code>\u003C/p>\n\u003C/li>\n\u003C/ol>\n\u003Ch3 id=\"client-deployment\">Client Deployment\u003C/h3>\n\u003Cul>\n\u003Cli>MSI/EXE für Windows, oder \u003Ccode>deb/rpm\u003C/code> für Linux\u003C/li>\n\u003Cli>Unterstützt automatische Registrierung am Server\u003C/li>\n\u003Cli>Deployment über GPO, Puppet, Ansible etc. möglich\u003C/li>\n\u003C/ul>\n\u003Chr>\n\u003Ch2 id=\"verwendungsbeispiele\">Verwendungsbeispiele\u003C/h2>\n\u003Ch3 id=\"1-live-memory-artefakte-sammeln\">1. Live-Memory-Artefakte sammeln\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"plaintext\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan>SELECT * FROM Artifact.MemoryInfo()\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"2-hunt-starten-auf-verdächtige-prozesse\">2. Hunt starten auf verdächtige Prozesse\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"plaintext\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan>SELECT * FROM pslist()\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan>WHERE Name =~ \"mimikatz|cobaltstrike\"\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"3-dateiinhalt-extrahieren\">3. Dateiinhalt extrahieren\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"plaintext\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan>SELECT * FROM glob(globs=\"C:\\\\Users\\\\*\\\\AppData\\\\*.dat\")\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Chr>\n\u003Ch2 id=\"best-practices\">Best Practices\u003C/h2>\n\u003Cul>\n\u003Cli>Erstelle eigene Artefakte für unternehmensspezifische Bedrohungsmodelle\u003C/li>\n\u003Cli>Verwende “Notebook”-Funktion für strukturierte Analysen\u003C/li>\n\u003Cli>Nutze “Labels”, um Endpoints zu organisieren (z. B. \u003Ccode>location:Berlin\u003C/code>)\u003C/li>\n\u003Cli>Kombiniere Velociraptor mit SIEM/EDR-Systemen über REST API\u003C/li>\n\u003C/ul>\n\u003Chr>\n\u003Ch2 id=\"troubleshooting\">Troubleshooting\u003C/h2>\n\u003Ch3 id=\"problem-keine-verbindung-vom-client-zum-server\">Problem: Keine Verbindung vom Client zum Server\u003C/h3>\n\u003Cp>\u003Cstrong>Lösung:\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Ports freigegeben? (Default: 8000/tcp)\u003C/li>\n\u003Cli>TLS-Zertifikate korrekt generiert?\u003C/li>\n\u003Cli>\u003Ccode>server.config.yaml\u003C/code> auf korrekte \u003Ccode>public_ip\u003C/code> prüfen\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"problem-hunt-hängt-in-warteschleife\">Problem: Hunt hängt in Warteschleife\u003C/h3>\n\u003Cp>\u003Cstrong>Lösung:\u003C/strong>\u003C/p>\n\u003Cul>\n\u003Cli>Genügend Worker-Prozesse aktiv?\u003C/li>\n\u003Cli>Endpoint online?\u003C/li>\n\u003Cli>\u003Ccode>log_level\u003C/code> auf \u003Ccode>debug\u003C/code> setzen und Log analysieren\u003C/li>\n\u003C/ul>\n\u003Chr>\n\u003Ch2 id=\"weiterführende-themen\">Weiterführende Themen\u003C/h2>\n\u003Cul>\n\u003Cli>Eigene Artefakte schreiben mit VQL\u003C/li>\n\u003Cli>Integration mit ELK Stack\u003C/li>\n\u003Cli>Automatisiertes Incident Response Playbook\u003C/li>\n\u003Cli>Velociraptor als IR-as-a-Service einsetzen\u003C/li>\n\u003C/ul>\n\u003Chr>\n\u003Cp>🧠 \u003Cstrong>Tipp:\u003C/strong> Die Lernkurve bei VQL ist steil – aber mit hohem ROI. Testumgebung aufsetzen und mit Community-Artefakten starten.\u003C/p>\n\u003Cp>📚 Weitere Ressourcen:\u003C/p>\n\u003Cul>\n\u003Cli>\u003Ca href=\"https://docs.velociraptor.app/\">Offizielle Doku\u003C/a>\u003C/li>\n\u003Cli>\u003Ca href=\"https://www.youtube.com/c/VelociraptorDFIR\">YouTube Channel\u003C/a>\u003C/li>\n\u003Cli>\u003Ca href=\"https://www.velociraptor.app/community/\">Community auf Discord\u003C/a>\u003C/li>\n\u003C/ul>",{"headings":245,"localImagePaths":284,"remoteImagePaths":285,"frontmatter":225,"imagePaths":286},[246,247,250,251,252,255,258,259,262,265,266,269,272,275,276,277,280,283],{"depth":43,"slug":44,"text":45},{"depth":47,"slug":248,"text":249},"hauptmerkmale","Hauptmerkmale",{"depth":47,"slug":48,"text":49},{"depth":51,"slug":52,"text":53},{"depth":51,"slug":253,"text":254},"installation-unter-linuxmacos","Installation unter Linux/macOS",{"depth":51,"slug":256,"text":257},"installation-unter-windows","Installation unter Windows",{"depth":47,"slug":58,"text":59},{"depth":51,"slug":260,"text":261},"server-setup","Server Setup",{"depth":51,"slug":263,"text":264},"client-deployment","Client Deployment",{"depth":47,"slug":70,"text":71},{"depth":51,"slug":267,"text":268},"1-live-memory-artefakte-sammeln","1. Live-Memory-Artefakte sammeln",{"depth":51,"slug":270,"text":271},"2-hunt-starten-auf-verdächtige-prozesse","2. Hunt starten auf verdächtige Prozesse",{"depth":51,"slug":273,"text":274},"3-dateiinhalt-extrahieren","3. Dateiinhalt extrahieren",{"depth":47,"slug":79,"text":80},{"depth":47,"slug":82,"text":83},{"depth":51,"slug":278,"text":279},"problem-keine-verbindung-vom-client-zum-server","Problem: Keine Verbindung vom Client zum Server",{"depth":51,"slug":281,"text":282},"problem-hunt-hängt-in-warteschleife","Problem: Hunt hängt in Warteschleife",{"depth":47,"slug":94,"text":95},[],[],[],"velociraptor.md","android-logical-imaging",{"id":288,"data":290,"body":303,"filePath":304,"digest":305,"rendered":306,"legacyId":534},{"title":291,"tool_name":292,"description":293,"last_updated":294,"author":295,"difficulty":230,"categories":296,"tags":298,"sections":302,"review_status":34},"Extraktion logischer Dateisysteme alter Android-Smartphones - eine KI-Recherche","Android Logical Imaging","Wie man alte Android-Handys aufbekommen könnte - eine Recherche von Claude",["Date","2025-07-21T00:00:00.000Z"],"Claude 4 Sonnet (Research)",[297],"data-collection",[299,300,301],"imaging","filesystem","hardware-interface",{"overview":32,"installation":32,"configuration":32,"usage_examples":32,"best_practices":32,"troubleshooting":32,"advanced_topics":32},"# Übersicht\n\nOpen-Source Android Forensik bietet robuste Alternativen zu kommerziellen Lösungen wie Cellebrite UFED und Magnet AXIOM. Besonders für ältere Android-Geräte (5+ Jahre) existieren bewährte Methoden zur Datenextraktion und -analyse.\n\n## Kernkomponenten des Open-Source Forensik-Stacks\n\n**Autopsy Digital Forensics Platform** bildet das Fundament mit GUI-basierter Analyse und integrierten Android-Parsing-Fähigkeiten. Die Plattform unterstützt **ALEAPP (Android Logs Events And Protobuf Parser)**, das über 100 Artefakt-Kategorien aus Android-Extraktionen parst.\n\n**Mobile Verification Toolkit (MVT)** von Amnesty International bietet spezialisierte Command-Line-Tools für Android-Analyse mit Fokus auf Kompromittierungserkennung.\n\n**SIFT Workstation** stellt eine komplette Ubuntu-basierte forensische Umgebung mit 125+ vorinstallierten Tools bereit.\n\n## Erfolgsraten nach Gerätealter\n\n- **Pre-2017 Geräte**: 85-98% logische Extraktion, 30-70% physische Extraktion\n- **2017-2019 Geräte**: 80-95% logische Extraktion, 15-35% physische Extraktion  \n- **2020+ Geräte**: 70-85% logische Extraktion, 5-15% physische Extraktion\n\n# Installation\n\n## SIFT Workstation Setup\n\n### Systemanforderungen\n- Quad-Core CPU 2.5GHz+\n- 16GB+ RAM\n- 500GB+ SSD Speicher\n- USB 3.0+ Anschlüsse\n\n### Installation\n1. Download von [SANS SIFT Workstation](https://www.sans.org/tools/sift-workstation/)\n2. VMware/VirtualBox Import der OVA-Datei\n3. VM-Konfiguration: 8GB+ RAM, 4+ CPU-Kerne\n\n```bash\n# Update nach Installation\nsudo apt update && sudo apt upgrade -y\nsudo sift update\n```\n\n## Autopsy Installation\n\n### Windows Installation\n1. Download von [autopsy.com](https://www.autopsy.com/)\n2. Java 8+ Installation erforderlich\n3. Installation mit Administratorrechten\n\n### Linux Installation\n```bash\n# Ubuntu/Debian\nsudo apt install autopsy sleuthkit\n# Oder manueller Download und Installation\nwget https://github.com/sleuthkit/autopsy/releases/latest\n```\n\n## Essential Tools Installation\n\n### Android Debug Bridge (ADB)\n```bash\n# Ubuntu/Debian\nsudo apt install android-tools-adb android-tools-fastboot\n\n# Windows - Download Android Platform Tools\n# https://developer.android.com/studio/releases/platform-tools\n```\n\n### ALEAPP Installation\n```bash\ngit clone https://github.com/abrignoni/ALEAPP.git\ncd ALEAPP\npip3 install -r requirements.txt\n```\n\n### Mobile Verification Toolkit (MVT)\n```bash\npip3 install mvt\n# Oder via GitHub für neueste Version\ngit clone https://github.com/mvt-project/mvt.git\ncd mvt && pip3 install .\n```\n\n### Andriller Installation\n```bash\ngit clone https://github.com/den4uk/andriller.git\ncd andriller\npip3 install -r requirements.txt\n```\n\n# Konfiguration\n\n## ADB Setup und Gerätevorbereitung\n\n### USB-Debugging aktivieren\n1. Entwickleroptionen freischalten (7x Build-Nummer antippen)\n2. USB-Debugging aktivieren\n3. Gerät via USB verbinden\n4. RSA-Fingerprint akzeptieren\n\n### ADB Verbindung testen\n```bash\nadb devices\n# Sollte Gerät mit \"device\" Status zeigen\nadb shell getprop ro.build.version.release  # Android Version\nadb shell getprop ro.product.model         # Gerätemodell\n```\n\n## Autopsy Projektkonfiguration\n\n### Case-Setup\n1. Neuen Fall erstellen\n2. Ermittler-Informationen eingeben\n3. Case-Verzeichnis festlegen (ausreichend Speicherplatz)\n\n### Android Analyzer Module aktivieren\n- Tools → Options → Modules\n- Android Analyzer aktivieren\n- ALEAPP Integration konfigurieren\n\n### Hash-Algorithmen konfigurieren\n- MD5, SHA-1, SHA-256 für Integritätsprüfung\n- Automatische Hash-Berechnung bei Import aktivieren\n\n## MVT Konfiguration\n\n### Konfigurationsdatei erstellen\n```yaml\n# ~/.mvt/config.yaml\nadb_path: \"/usr/bin/adb\"\noutput_folder: \"/home/user/mvt_output\"\n```\n\n# Verwendungsbeispiele\n\n## Fall 1: Logische Datenextraktion mit ADB\n\n### Geräteinformationen sammeln\n```bash\n# Systeminfo\nadb shell getprop > device_properties.txt\nadb shell cat /proc/version > kernel_info.txt\nadb shell mount > mount_info.txt\n\n# Installierte Apps\nadb shell pm list packages -f > installed_packages.txt\n```\n\n### Datenbank-Extraktion\n```bash\n# SMS/MMS Datenbank\nadb pull /data/data/com.android.providers.telephony/databases/mmssms.db\n\n# Kontakte\nadb pull /data/data/com.android.providers.contacts/databases/contacts2.db\n\n# Anrufliste  \nadb pull /data/data/com.android.providers.contacts/databases/calllog.db\n```\n\n### WhatsApp Datenextraktion\n```bash\n# WhatsApp Datenbanken (Root erforderlich)\nadb shell su -c \"cp -r /data/data/com.whatsapp/ /sdcard/whatsapp_backup/\"\nadb pull /sdcard/whatsapp_backup/\n```\n\n## Fall 2: Android Backup-Analyse\n\n### Vollständiges Backup erstellen\n```bash\n# Umfassendes Backup (ohne Root)\nadb backup -all -system -apk -shared -f backup.ab\n\n# Backup entschlüsseln (falls verschlüsselt)\njava -jar abe.jar unpack backup.ab backup.tar\ntar -xf backup.tar\n```\n\n### Backup mit ALEAPP analysieren\n```bash\npython3 aleappGUI.py\n# Oder Command-Line\npython3 aleapp.py -t tar -i backup.tar -o output_folder\n```\n\n## Fall 3: MVT Kompromittierungsanalyse\n\n### Live-Geräteanalyse\n```bash\n# ADB-basierte Analyse\nmvt-android check-adb --output /path/to/output/\n\n# Backup-Analyse\nmvt-android check-backup --output /path/to/output/ backup.ab\n```\n\n### IOC-Suche mit Pegasus-Indikatoren\n```bash\n# Mit vorgefertigten IOCs\nmvt-android check-adb --iocs /path/to/pegasus.stix2 --output results/\n```\n\n## Fall 4: Physische Extraktion (Root erforderlich)\n\n### Device Rooting - MediaTek Geräte\n```bash\n# MTKClient für MediaTek-Chipsets\ngit clone https://github.com/bkerler/mtkclient.git\ncd mtkclient\npython3 mtk payload\n\n# Nach erfolgreichem Root\nadb shell su\n```\n\n### Vollständiges Memory Dump\n```bash\n# Partitionslayout ermitteln\nadb shell su -c \"cat /proc/partitions\"\nadb shell su -c \"ls -la /dev/block/\"\n\n# Vollständiges Device Image (Root erforderlich)\nadb shell su -c \"dd if=/dev/block/mmcblk0 of=/sdcard/full_device.img bs=4096\"\nadb pull /sdcard/full_device.img\n```\n\n# Best Practices\n\n## Rechtliche Compliance\n\n### Dokumentation und Chain of Custody\n- **Vollständige Dokumentation**: Wer, Was, Wann, Wo, Warum\n- **Hash-Verifikation**: MD5/SHA-256 für alle extrahierten Daten\n- **Nur forensische Kopien analysieren**, niemals Originaldaten\n- **Schriftliche Genehmigung** für Geräteanalyse einholen\n\n### Familiengeräte und Nachlässe\n- Genehmigung durch Nachlassverwalter erforderlich\n- Gerichtsbeschlüsse für Cloud-Zugang eventuell nötig\n- Drittpartei-Kommunikation kann weiterhin geschützt sein\n\n## Technische Best Practices\n\n### Hash-Integrität sicherstellen\n```bash\n# Hash vor und nach Transfer prüfen\nmd5sum original_file.db\nsha256sum original_file.db\n\n# Hash-Verifikation dokumentieren\necho \"$(date): MD5: $(md5sum file.db)\" >> chain_of_custody.log\n```\n\n### Sichere Arbeitsumgebung\n- Isolierte VM für Forensik-Arbeit\n- Netzwerk-Isolation während Analyse\n- Verschlüsselte Speicherung aller Evidenz\n- Regelmäßige Backups der Case-Datenbanken\n\n### Qualitätssicherung\n- Peer-Review kritischer Analysen\n- Standardisierte Arbeitsabläufe (SOPs)\n- Regelmäßige Tool-Validierung\n- Kontinuierliche Weiterbildung\n\n## Erfolgsmaximierung nach Gerätehersteller\n\n### MediaTek-Geräte (Höchste Erfolgsrate)\n- BootROM-Exploits für MT6735, MT6737, MT6750, MT6753, MT6797\n- MTKClient für Hardware-Level-Zugang\n- Erfolgsrate: 80%+ für Geräte 2015-2019\n\n### Samsung-Geräte\n- Ältere Knox-Implementierungen umgehbar\n- Emergency Dialer Exploits für Android 4.x\n- Erfolgsrate: 40-70% je nach Knox-Version\n\n### Pixel/Nexus-Geräte\n- Bootloader-Unlocking oft möglich\n- Fastboot-basierte Recovery-Installation\n- Erfolgsrate: 60-80% bei freigeschaltetem Bootloader\n\n# Troubleshooting\n\n## Problem: ADB erkennt Gerät nicht\n\n### Lösung: USB-Treiber und Berechtigungen\n```bash\n# Linux: USB-Berechtigungen prüfen\nlsusb | grep -i android\nsudo chmod 666 /dev/bus/usb/XXX/XXX\n\n# udev-Regeln erstellen\necho 'SUBSYSTEM==\"usb\", ATTR{idVendor}==\"18d1\", MODE=\"0666\", GROUP=\"plugdev\"' | sudo tee /etc/udev/rules.d/51-android.rules\nsudo udevadm control --reload-rules\n```\n\n### Windows: Treiber-Installation\n1. Geräte-Manager öffnen\n2. Android-Gerät mit Warnsymbol finden\n3. Treiber manuell installieren (Android USB Driver)\n\n## Problem: Verschlüsselte Android Backups\n\n### Lösung: Android Backup Extractor\n```bash\n# ADB Backup Extractor installieren\ngit clone https://github.com/nelenkov/android-backup-extractor.git\ncd android-backup-extractor\ngradle build\n\n# Backup entschlüsseln\njava -jar abe.jar unpack backup.ab backup.tar [password]\n```\n\n## Problem: Unzureichende Berechtigungen für Datenextraktion\n\n### Lösung: Alternative Extraktionsmethoden\n```bash\n# AFLogical OSE für begrenzte Extraktion ohne Root\n# WhatsApp Key/DB Extractor für spezifische Apps\n# Backup-basierte Extraktion als Fallback\n\n# Custom Recovery für erweiterten Zugang\nfastboot flash recovery twrp-device.img\n```\n\n## Problem: ALEAPP Parsing-Fehler\n\n### Lösung: Datenformat-Probleme beheben\n```bash\n# Log-Dateien prüfen\npython3 aleapp.py -t dir -i /path/to/data -o output --debug\n\n# Spezifische Parser deaktivieren\n# Manuelle SQLite-Analyse bei Parser-Fehlern\nsqlite3 database.db \".tables\"\nsqlite3 database.db \".schema table_name\"\n```\n\n# Erweiterte Techniken\n\n## Memory Forensics mit LiME\n\n### LiME für ARM-Devices kompilieren\n```bash\n# Cross-Compilation Setup\nexport ARCH=arm\nexport CROSS_COMPILE=arm-linux-gnueabi-\nexport KERNEL_DIR=/path/to/kernel/source\n\n# LiME Module kompilieren\ngit clone https://github.com/504ensicsLabs/LiME.git\ncd LiME/src\nmake\n\n# Memory Dump erstellen (Root erforderlich)\nadb push lime.ko /data/local/tmp/\nadb shell su -c \"insmod /data/local/tmp/lime.ko 'path=/sdcard/memory.lime format=lime'\"\n```\n\n### Volatility-Analyse von Android Memory\n```bash\n# Memory Dump analysieren\npython vol.py -f memory.lime --profile=Linux \u003Cprofile> linux.pslist\npython vol.py -f memory.lime --profile=Linux \u003Cprofile> linux.bash\npython vol.py -f memory.lime --profile=Linux \u003Cprofile> linux.netstat\n```\n\n## FRIDA-basierte Runtime-Analyse\n\n### FRIDA für Kryptographie-Hooks\n```javascript\n// crypto_hooks.js - SSL/TLS Traffic abfangen\nJava.perform(function() {\n    var SSLContext = Java.use(\"javax.net.ssl.SSLContext\");\n    SSLContext.init.overload('[Ljavax.net.ssl.KeyManager;', '[Ljavax.net.ssl.TrustManager;', 'java.security.SecureRandom').implementation = function(keyManagers, trustManagers, secureRandom) {\n        console.log(\"[+] SSLContext.init() called\");\n        this.init(keyManagers, trustManagers, secureRandom);\n    };\n});\n```\n\n### FRIDA Installation und Verwendung\n```bash\n# FRIDA Server auf Android-Gerät installieren\nadb push frida-server /data/local/tmp/\nadb shell su -c \"chmod 755 /data/local/tmp/frida-server\"\nadb shell su -c \"/data/local/tmp/frida-server &\"\n\n# Script ausführen\nfrida -U -l crypto_hooks.js com.target.package\n```\n\n## Custom Recovery und Fastboot-Exploits\n\n### TWRP Installation für forensischen Zugang\n```bash\n# Bootloader entsperren (Herstellerabhängig)\nfastboot oem unlock\n# Oder\nfastboot flashing unlock\n\n# TWRP flashen\nfastboot flash recovery twrp-device.img\nfastboot boot twrp-device.img  # Temporäre Installation\n\n# In TWRP: ADB-Zugang mit Root-Berechtigungen\nadb shell mount /system\nadb shell mount /data\n```\n\n### Partitions-Imaging mit dd\n```bash\n# Vollständige Partition-Liste\nadb shell cat /proc/partitions\n\n# Kritische Partitionen extrahieren\nadb shell dd if=/dev/block/bootdevice/by-name/system of=/external_sd/system.img\nadb shell dd if=/dev/block/bootdevice/by-name/userdata of=/external_sd/userdata.img\nadb shell dd if=/dev/block/bootdevice/by-name/boot of=/external_sd/boot.img\n```\n\n## SQLite Forensics und gelöschte Daten\n\n### Erweiterte SQLite-Analyse\n```bash\n# Freelist-Analyse für gelöschte Einträge\nsqlite3 database.db \"PRAGMA freelist_count;\"\nsqlite3 database.db \"PRAGMA page_size;\"\n\n# WAL-Datei Analyse\nsqlite3 database.db \"PRAGMA wal_checkpoint;\"\nstrings database.db-wal | grep -i \"search_term\"\n\n# Undark für Deleted Record Recovery\nundark database.db --freelist --export-csv\n```\n\n### Timeline-Rekonstruktion\n```bash\n# Autopsy Timeline-Generierung\n# Tools → Generate Timeline\n# Analyse von MAC-Times (Modified, Accessed, Created)\n\n# Plaso Timeline-Tools\nlog2timeline.py timeline.plaso /path/to/android/data/\npsort.py -o dynamic timeline.plaso\n```\n\n## Weiterführende Ressourcen\n\n### Dokumentation und Standards\n- [NIST SP 800-101 Rev. 1 - Mobile Device Forensics Guidelines](https://csrc.nist.gov/pubs/sp/800/101/r1/final)\n- [SANS FOR585 - Smartphone Forensics](https://www.sans.org/cyber-security-courses/advanced-smartphone-mobile-device-forensics/)\n- [ALEAPP GitHub Repository](https://github.com/abrignoni/ALEAPP)\n- [MVT Documentation](https://docs.mvt.re/en/latest/)\n\n### Community und Weiterbildung\n- [Autopsy User Documentation](https://sleuthkit.org/autopsy/docs/)\n- [Android Forensics References](https://github.com/impillar/AndroidReferences/blob/master/AndroidTools.md)\n- [Digital Forensics Framework Collection](https://github.com/mesquidar/ForensicsTools)\n\n### Spezialisierte Tools\n- [MTKClient für MediaTek Exploits](https://github.com/bkerler/mtkclient)\n- [Android Forensics Framework](https://github.com/nowsecure/android-forensics)\n- [Santoku Linux Mobile Forensics Distribution](https://santoku-linux.com/)\n\n---\n\n**Wichtiger Hinweis**: Diese Anleitung dient ausschließlich für autorisierte forensische Untersuchungen. Stellen Sie sicher, dass Sie über entsprechende rechtliche Befugnisse verfügen, bevor Sie diese Techniken anwenden. Bei Zweifeln konsultieren Sie Rechtsberatung.","src/content/knowledgebase/android-logical-imaging.md","0bb3f1d2c872d2bf",{"html":307,"metadata":308},"\u003Ch1 id=\"übersicht\">Übersicht\u003C/h1>\n\u003Cp>Open-Source Android Forensik bietet robuste Alternativen zu kommerziellen Lösungen wie Cellebrite UFED und Magnet AXIOM. Besonders für ältere Android-Geräte (5+ Jahre) existieren bewährte Methoden zur Datenextraktion und -analyse.\u003C/p>\n\u003Ch2 id=\"kernkomponenten-des-open-source-forensik-stacks\">Kernkomponenten des Open-Source Forensik-Stacks\u003C/h2>\n\u003Cp>\u003Cstrong>Autopsy Digital Forensics Platform\u003C/strong> bildet das Fundament mit GUI-basierter Analyse und integrierten Android-Parsing-Fähigkeiten. Die Plattform unterstützt \u003Cstrong>ALEAPP (Android Logs Events And Protobuf Parser)\u003C/strong>, das über 100 Artefakt-Kategorien aus Android-Extraktionen parst.\u003C/p>\n\u003Cp>\u003Cstrong>Mobile Verification Toolkit (MVT)\u003C/strong> von Amnesty International bietet spezialisierte Command-Line-Tools für Android-Analyse mit Fokus auf Kompromittierungserkennung.\u003C/p>\n\u003Cp>\u003Cstrong>SIFT Workstation\u003C/strong> stellt eine komplette Ubuntu-basierte forensische Umgebung mit 125+ vorinstallierten Tools bereit.\u003C/p>\n\u003Ch2 id=\"erfolgsraten-nach-gerätealter\">Erfolgsraten nach Gerätealter\u003C/h2>\n\u003Cul>\n\u003Cli>\u003Cstrong>Pre-2017 Geräte\u003C/strong>: 85-98% logische Extraktion, 30-70% physische Extraktion\u003C/li>\n\u003Cli>\u003Cstrong>2017-2019 Geräte\u003C/strong>: 80-95% logische Extraktion, 15-35% physische Extraktion\u003C/li>\n\u003Cli>\u003Cstrong>2020+ Geräte\u003C/strong>: 70-85% logische Extraktion, 5-15% physische Extraktion\u003C/li>\n\u003C/ul>\n\u003Ch1 id=\"installation\">Installation\u003C/h1>\n\u003Ch2 id=\"sift-workstation-setup\">SIFT Workstation Setup\u003C/h2>\n\u003Ch3 id=\"systemanforderungen\">Systemanforderungen\u003C/h3>\n\u003Cul>\n\u003Cli>Quad-Core CPU 2.5GHz+\u003C/li>\n\u003Cli>16GB+ RAM\u003C/li>\n\u003Cli>500GB+ SSD Speicher\u003C/li>\n\u003Cli>USB 3.0+ Anschlüsse\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"installation-1\">Installation\u003C/h3>\n\u003Col>\n\u003Cli>Download von \u003Ca href=\"https://www.sans.org/tools/sift-workstation/\">SANS SIFT Workstation\u003C/a>\u003C/li>\n\u003Cli>VMware/VirtualBox Import der OVA-Datei\u003C/li>\n\u003Cli>VM-Konfiguration: 8GB+ RAM, 4+ CPU-Kerne\u003C/li>\n\u003C/ol>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Update nach Installation\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> update\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> &#x26;&#x26; \u003C/span>\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> upgrade\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -y\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> sift\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> update\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"autopsy-installation\">Autopsy Installation\u003C/h2>\n\u003Ch3 id=\"windows-installation\">Windows Installation\u003C/h3>\n\u003Col>\n\u003Cli>Download von \u003Ca href=\"https://www.autopsy.com/\">autopsy.com\u003C/a>\u003C/li>\n\u003Cli>Java 8+ Installation erforderlich\u003C/li>\n\u003Cli>Installation mit Administratorrechten\u003C/li>\n\u003C/ol>\n\u003Ch3 id=\"linux-installation\">Linux Installation\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Ubuntu/Debian\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> install\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> autopsy\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> sleuthkit\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Oder manueller Download und Installation\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">wget\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> https://github.com/sleuthkit/autopsy/releases/latest\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"essential-tools-installation\">Essential Tools Installation\u003C/h2>\n\u003Ch3 id=\"android-debug-bridge-adb\">Android Debug Bridge (ADB)\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Ubuntu/Debian\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> install\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> android-tools-adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> android-tools-fastboot\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Windows - Download Android Platform Tools\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># https://developer.android.com/studio/releases/platform-tools\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"aleapp-installation\">ALEAPP Installation\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">git\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> clone\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> https://github.com/abrignoni/ALEAPP.git\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">cd\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> ALEAPP\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">pip3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> install\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -r\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> requirements.txt\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"mobile-verification-toolkit-mvt\">Mobile Verification Toolkit (MVT)\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">pip3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> install\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mvt\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Oder via GitHub für neueste Version\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">git\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> clone\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> https://github.com/mvt-project/mvt.git\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">cd\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mvt\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> &#x26;&#x26; \u003C/span>\u003Cspan style=\"color:#B392F0\">pip3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> install\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> .\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"andriller-installation\">Andriller Installation\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">git\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> clone\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> https://github.com/den4uk/andriller.git\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">cd\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> andriller\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">pip3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> install\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -r\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> requirements.txt\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch1 id=\"konfiguration\">Konfiguration\u003C/h1>\n\u003Ch2 id=\"adb-setup-und-gerätevorbereitung\">ADB Setup und Gerätevorbereitung\u003C/h2>\n\u003Ch3 id=\"usb-debugging-aktivieren\">USB-Debugging aktivieren\u003C/h3>\n\u003Col>\n\u003Cli>Entwickleroptionen freischalten (7x Build-Nummer antippen)\u003C/li>\n\u003Cli>USB-Debugging aktivieren\u003C/li>\n\u003Cli>Gerät via USB verbinden\u003C/li>\n\u003Cli>RSA-Fingerprint akzeptieren\u003C/li>\n\u003C/ol>\n\u003Ch3 id=\"adb-verbindung-testen\">ADB Verbindung testen\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> devices\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Sollte Gerät mit \"device\" Status zeigen\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> getprop\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> ro.build.version.release\u003C/span>\u003Cspan style=\"color:#6A737D\">  # Android Version\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> getprop\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> ro.product.model\u003C/span>\u003Cspan style=\"color:#6A737D\">         # Gerätemodell\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"autopsy-projektkonfiguration\">Autopsy Projektkonfiguration\u003C/h2>\n\u003Ch3 id=\"case-setup\">Case-Setup\u003C/h3>\n\u003Col>\n\u003Cli>Neuen Fall erstellen\u003C/li>\n\u003Cli>Ermittler-Informationen eingeben\u003C/li>\n\u003Cli>Case-Verzeichnis festlegen (ausreichend Speicherplatz)\u003C/li>\n\u003C/ol>\n\u003Ch3 id=\"android-analyzer-module-aktivieren\">Android Analyzer Module aktivieren\u003C/h3>\n\u003Cul>\n\u003Cli>Tools → Options → Modules\u003C/li>\n\u003Cli>Android Analyzer aktivieren\u003C/li>\n\u003Cli>ALEAPP Integration konfigurieren\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"hash-algorithmen-konfigurieren\">Hash-Algorithmen konfigurieren\u003C/h3>\n\u003Cul>\n\u003Cli>MD5, SHA-1, SHA-256 für Integritätsprüfung\u003C/li>\n\u003Cli>Automatische Hash-Berechnung bei Import aktivieren\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"mvt-konfiguration\">MVT Konfiguration\u003C/h2>\n\u003Ch3 id=\"konfigurationsdatei-erstellen\">Konfigurationsdatei erstellen\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"yaml\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># ~/.mvt/config.yaml\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#85E89D\">adb_path\u003C/span>\u003Cspan style=\"color:#E1E4E8\">: \u003C/span>\u003Cspan style=\"color:#9ECBFF\">\"/usr/bin/adb\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#85E89D\">output_folder\u003C/span>\u003Cspan style=\"color:#E1E4E8\">: \u003C/span>\u003Cspan style=\"color:#9ECBFF\">\"/home/user/mvt_output\"\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch1 id=\"verwendungsbeispiele\">Verwendungsbeispiele\u003C/h1>\n\u003Ch2 id=\"fall-1-logische-datenextraktion-mit-adb\">Fall 1: Logische Datenextraktion mit ADB\u003C/h2>\n\u003Ch3 id=\"geräteinformationen-sammeln\">Geräteinformationen sammeln\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Systeminfo\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> getprop\u003C/span>\u003Cspan style=\"color:#F97583\"> >\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> device_properties.txt\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> cat\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /proc/version\u003C/span>\u003Cspan style=\"color:#F97583\"> >\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> kernel_info.txt\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mount\u003C/span>\u003Cspan style=\"color:#F97583\"> >\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mount_info.txt\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Installierte Apps\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> pm\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> list\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> packages\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -f\u003C/span>\u003Cspan style=\"color:#F97583\"> >\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> installed_packages.txt\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"datenbank-extraktion\">Datenbank-Extraktion\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># SMS/MMS Datenbank\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> pull\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /data/data/com.android.providers.telephony/databases/mmssms.db\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Kontakte\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> pull\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /data/data/com.android.providers.contacts/databases/contacts2.db\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Anrufliste  \u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> pull\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /data/data/com.android.providers.contacts/databases/calllog.db\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"whatsapp-datenextraktion\">WhatsApp Datenextraktion\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># WhatsApp Datenbanken (Root erforderlich)\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> su\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -c\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"cp -r /data/data/com.whatsapp/ /sdcard/whatsapp_backup/\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> pull\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /sdcard/whatsapp_backup/\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"fall-2-android-backup-analyse\">Fall 2: Android Backup-Analyse\u003C/h2>\n\u003Ch3 id=\"vollständiges-backup-erstellen\">Vollständiges Backup erstellen\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Umfassendes Backup (ohne Root)\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> backup\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -all\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -system\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -apk\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -shared\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -f\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> backup.ab\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Backup entschlüsseln (falls verschlüsselt)\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">java\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -jar\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> abe.jar\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> unpack\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> backup.ab\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> backup.tar\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">tar\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -xf\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> backup.tar\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"backup-mit-aleapp-analysieren\">Backup mit ALEAPP analysieren\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">python3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> aleappGUI.py\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Oder Command-Line\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">python3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> aleapp.py\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -t\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> tar\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -i\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> backup.tar\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -o\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> output_folder\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"fall-3-mvt-kompromittierungsanalyse\">Fall 3: MVT Kompromittierungsanalyse\u003C/h2>\n\u003Ch3 id=\"live-geräteanalyse\">Live-Geräteanalyse\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># ADB-basierte Analyse\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">mvt-android\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> check-adb\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --output\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /path/to/output/\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Backup-Analyse\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">mvt-android\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> check-backup\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --output\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /path/to/output/\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> backup.ab\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"ioc-suche-mit-pegasus-indikatoren\">IOC-Suche mit Pegasus-Indikatoren\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Mit vorgefertigten IOCs\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">mvt-android\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> check-adb\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --iocs\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /path/to/pegasus.stix2\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --output\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> results/\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"fall-4-physische-extraktion-root-erforderlich\">Fall 4: Physische Extraktion (Root erforderlich)\u003C/h2>\n\u003Ch3 id=\"device-rooting---mediatek-geräte\">Device Rooting - MediaTek Geräte\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># MTKClient für MediaTek-Chipsets\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">git\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> clone\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> https://github.com/bkerler/mtkclient.git\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">cd\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mtkclient\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">python3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mtk\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> payload\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Nach erfolgreichem Root\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> su\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"vollständiges-memory-dump\">Vollständiges Memory Dump\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Partitionslayout ermitteln\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> su\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -c\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"cat /proc/partitions\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> su\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -c\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"ls -la /dev/block/\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Vollständiges Device Image (Root erforderlich)\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> su\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -c\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"dd if=/dev/block/mmcblk0 of=/sdcard/full_device.img bs=4096\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> pull\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /sdcard/full_device.img\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch1 id=\"best-practices\">Best Practices\u003C/h1>\n\u003Ch2 id=\"rechtliche-compliance\">Rechtliche Compliance\u003C/h2>\n\u003Ch3 id=\"dokumentation-und-chain-of-custody\">Dokumentation und Chain of Custody\u003C/h3>\n\u003Cul>\n\u003Cli>\u003Cstrong>Vollständige Dokumentation\u003C/strong>: Wer, Was, Wann, Wo, Warum\u003C/li>\n\u003Cli>\u003Cstrong>Hash-Verifikation\u003C/strong>: MD5/SHA-256 für alle extrahierten Daten\u003C/li>\n\u003Cli>\u003Cstrong>Nur forensische Kopien analysieren\u003C/strong>, niemals Originaldaten\u003C/li>\n\u003Cli>\u003Cstrong>Schriftliche Genehmigung\u003C/strong> für Geräteanalyse einholen\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"familiengeräte-und-nachlässe\">Familiengeräte und Nachlässe\u003C/h3>\n\u003Cul>\n\u003Cli>Genehmigung durch Nachlassverwalter erforderlich\u003C/li>\n\u003Cli>Gerichtsbeschlüsse für Cloud-Zugang eventuell nötig\u003C/li>\n\u003Cli>Drittpartei-Kommunikation kann weiterhin geschützt sein\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"technische-best-practices\">Technische Best Practices\u003C/h2>\n\u003Ch3 id=\"hash-integrität-sicherstellen\">Hash-Integrität sicherstellen\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Hash vor und nach Transfer prüfen\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">md5sum\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> original_file.db\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sha256sum\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> original_file.db\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Hash-Verifikation dokumentieren\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">echo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"$(\u003C/span>\u003Cspan style=\"color:#B392F0\">date\u003C/span>\u003Cspan style=\"color:#9ECBFF\">): MD5: $(\u003C/span>\u003Cspan style=\"color:#B392F0\">md5sum\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> file.db)\"\u003C/span>\u003Cspan style=\"color:#F97583\"> >>\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> chain_of_custody.log\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"sichere-arbeitsumgebung\">Sichere Arbeitsumgebung\u003C/h3>\n\u003Cul>\n\u003Cli>Isolierte VM für Forensik-Arbeit\u003C/li>\n\u003Cli>Netzwerk-Isolation während Analyse\u003C/li>\n\u003Cli>Verschlüsselte Speicherung aller Evidenz\u003C/li>\n\u003Cli>Regelmäßige Backups der Case-Datenbanken\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"qualitätssicherung\">Qualitätssicherung\u003C/h3>\n\u003Cul>\n\u003Cli>Peer-Review kritischer Analysen\u003C/li>\n\u003Cli>Standardisierte Arbeitsabläufe (SOPs)\u003C/li>\n\u003Cli>Regelmäßige Tool-Validierung\u003C/li>\n\u003Cli>Kontinuierliche Weiterbildung\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"erfolgsmaximierung-nach-gerätehersteller\">Erfolgsmaximierung nach Gerätehersteller\u003C/h2>\n\u003Ch3 id=\"mediatek-geräte-höchste-erfolgsrate\">MediaTek-Geräte (Höchste Erfolgsrate)\u003C/h3>\n\u003Cul>\n\u003Cli>BootROM-Exploits für MT6735, MT6737, MT6750, MT6753, MT6797\u003C/li>\n\u003Cli>MTKClient für Hardware-Level-Zugang\u003C/li>\n\u003Cli>Erfolgsrate: 80%+ für Geräte 2015-2019\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"samsung-geräte\">Samsung-Geräte\u003C/h3>\n\u003Cul>\n\u003Cli>Ältere Knox-Implementierungen umgehbar\u003C/li>\n\u003Cli>Emergency Dialer Exploits für Android 4.x\u003C/li>\n\u003Cli>Erfolgsrate: 40-70% je nach Knox-Version\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"pixelnexus-geräte\">Pixel/Nexus-Geräte\u003C/h3>\n\u003Cul>\n\u003Cli>Bootloader-Unlocking oft möglich\u003C/li>\n\u003Cli>Fastboot-basierte Recovery-Installation\u003C/li>\n\u003Cli>Erfolgsrate: 60-80% bei freigeschaltetem Bootloader\u003C/li>\n\u003C/ul>\n\u003Ch1 id=\"troubleshooting\">Troubleshooting\u003C/h1>\n\u003Ch2 id=\"problem-adb-erkennt-gerät-nicht\">Problem: ADB erkennt Gerät nicht\u003C/h2>\n\u003Ch3 id=\"lösung-usb-treiber-und-berechtigungen\">Lösung: USB-Treiber und Berechtigungen\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Linux: USB-Berechtigungen prüfen\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">lsusb\u003C/span>\u003Cspan style=\"color:#F97583\"> |\u003C/span>\u003Cspan style=\"color:#B392F0\"> grep\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -i\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> android\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> chmod\u003C/span>\u003Cspan style=\"color:#79B8FF\"> 666\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /dev/bus/usb/XXX/XXX\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># udev-Regeln erstellen\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">echo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> 'SUBSYSTEM==\"usb\", ATTR{idVendor}==\"18d1\", MODE=\"0666\", GROUP=\"plugdev\"'\u003C/span>\u003Cspan style=\"color:#F97583\"> |\u003C/span>\u003Cspan style=\"color:#B392F0\"> sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> tee\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /etc/udev/rules.d/51-android.rules\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> udevadm\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> control\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --reload-rules\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"windows-treiber-installation\">Windows: Treiber-Installation\u003C/h3>\n\u003Col>\n\u003Cli>Geräte-Manager öffnen\u003C/li>\n\u003Cli>Android-Gerät mit Warnsymbol finden\u003C/li>\n\u003Cli>Treiber manuell installieren (Android USB Driver)\u003C/li>\n\u003C/ol>\n\u003Ch2 id=\"problem-verschlüsselte-android-backups\">Problem: Verschlüsselte Android Backups\u003C/h2>\n\u003Ch3 id=\"lösung-android-backup-extractor\">Lösung: Android Backup Extractor\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># ADB Backup Extractor installieren\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">git\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> clone\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> https://github.com/nelenkov/android-backup-extractor.git\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">cd\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> android-backup-extractor\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">gradle\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> build\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Backup entschlüsseln\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">java\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -jar\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> abe.jar\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> unpack\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> backup.ab\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> backup.tar\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> [password]\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"problem-unzureichende-berechtigungen-für-datenextraktion\">Problem: Unzureichende Berechtigungen für Datenextraktion\u003C/h2>\n\u003Ch3 id=\"lösung-alternative-extraktionsmethoden\">Lösung: Alternative Extraktionsmethoden\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># AFLogical OSE für begrenzte Extraktion ohne Root\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># WhatsApp Key/DB Extractor für spezifische Apps\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Backup-basierte Extraktion als Fallback\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Custom Recovery für erweiterten Zugang\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">fastboot\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> flash\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> recovery\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> twrp-device.img\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"problem-aleapp-parsing-fehler\">Problem: ALEAPP Parsing-Fehler\u003C/h2>\n\u003Ch3 id=\"lösung-datenformat-probleme-beheben\">Lösung: Datenformat-Probleme beheben\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Log-Dateien prüfen\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">python3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> aleapp.py\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -t\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> dir\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -i\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /path/to/data\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -o\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> output\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --debug\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Spezifische Parser deaktivieren\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Manuelle SQLite-Analyse bei Parser-Fehlern\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sqlite3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> database.db\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \".tables\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sqlite3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> database.db\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \".schema table_name\"\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch1 id=\"erweiterte-techniken\">Erweiterte Techniken\u003C/h1>\n\u003Ch2 id=\"memory-forensics-mit-lime\">Memory Forensics mit LiME\u003C/h2>\n\u003Ch3 id=\"lime-für-arm-devices-kompilieren\">LiME für ARM-Devices kompilieren\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Cross-Compilation Setup\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#F97583\">export\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> ARCH\u003C/span>\u003Cspan style=\"color:#F97583\">=\u003C/span>\u003Cspan style=\"color:#E1E4E8\">arm\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#F97583\">export\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> CROSS_COMPILE\u003C/span>\u003Cspan style=\"color:#F97583\">=\u003C/span>\u003Cspan style=\"color:#E1E4E8\">arm-linux-gnueabi-\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#F97583\">export\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> KERNEL_DIR\u003C/span>\u003Cspan style=\"color:#F97583\">=\u003C/span>\u003Cspan style=\"color:#E1E4E8\">/path/to/kernel/source\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># LiME Module kompilieren\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">git\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> clone\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> https://github.com/504ensicsLabs/LiME.git\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">cd\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> LiME/src\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">make\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Memory Dump erstellen (Root erforderlich)\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> push\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> lime.ko\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /data/local/tmp/\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> su\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -c\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"insmod /data/local/tmp/lime.ko 'path=/sdcard/memory.lime format=lime'\"\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"volatility-analyse-von-android-memory\">Volatility-Analyse von Android Memory\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Memory Dump analysieren\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">python\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> vol.py\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -f\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> memory.lime\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --profile=Linux\u003C/span>\u003Cspan style=\"color:#F97583\"> &#x3C;\u003C/span>\u003Cspan style=\"color:#9ECBFF\">profil\u003C/span>\u003Cspan style=\"color:#E1E4E8\">e\u003C/span>\u003Cspan style=\"color:#F97583\">>\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> linux.pslist\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">python\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> vol.py\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -f\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> memory.lime\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --profile=Linux\u003C/span>\u003Cspan style=\"color:#F97583\"> &#x3C;\u003C/span>\u003Cspan style=\"color:#9ECBFF\">profil\u003C/span>\u003Cspan style=\"color:#E1E4E8\">e\u003C/span>\u003Cspan style=\"color:#F97583\">>\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> linux.bash\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">python\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> vol.py\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -f\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> memory.lime\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --profile=Linux\u003C/span>\u003Cspan style=\"color:#F97583\"> &#x3C;\u003C/span>\u003Cspan style=\"color:#9ECBFF\">profil\u003C/span>\u003Cspan style=\"color:#E1E4E8\">e\u003C/span>\u003Cspan style=\"color:#F97583\">>\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> linux.netstat\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"frida-basierte-runtime-analyse\">FRIDA-basierte Runtime-Analyse\u003C/h2>\n\u003Ch3 id=\"frida-für-kryptographie-hooks\">FRIDA für Kryptographie-Hooks\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"javascript\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\">// crypto_hooks.js - SSL/TLS Traffic abfangen\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#E1E4E8\">Java.\u003C/span>\u003Cspan style=\"color:#B392F0\">perform\u003C/span>\u003Cspan style=\"color:#E1E4E8\">(\u003C/span>\u003Cspan style=\"color:#F97583\">function\u003C/span>\u003Cspan style=\"color:#E1E4E8\">() {\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#F97583\">    var\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> SSLContext \u003C/span>\u003Cspan style=\"color:#F97583\">=\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> Java.\u003C/span>\u003Cspan style=\"color:#B392F0\">use\u003C/span>\u003Cspan style=\"color:#E1E4E8\">(\u003C/span>\u003Cspan style=\"color:#9ECBFF\">\"javax.net.ssl.SSLContext\"\u003C/span>\u003Cspan style=\"color:#E1E4E8\">);\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#E1E4E8\">    SSLContext.init.\u003C/span>\u003Cspan style=\"color:#B392F0\">overload\u003C/span>\u003Cspan style=\"color:#E1E4E8\">(\u003C/span>\u003Cspan style=\"color:#9ECBFF\">'[Ljavax.net.ssl.KeyManager;'\u003C/span>\u003Cspan style=\"color:#E1E4E8\">, \u003C/span>\u003Cspan style=\"color:#9ECBFF\">'[Ljavax.net.ssl.TrustManager;'\u003C/span>\u003Cspan style=\"color:#E1E4E8\">, \u003C/span>\u003Cspan style=\"color:#9ECBFF\">'java.security.SecureRandom'\u003C/span>\u003Cspan style=\"color:#E1E4E8\">).\u003C/span>\u003Cspan style=\"color:#B392F0\">implementation\u003C/span>\u003Cspan style=\"color:#F97583\"> =\u003C/span>\u003Cspan style=\"color:#F97583\"> function\u003C/span>\u003Cspan style=\"color:#E1E4E8\">(\u003C/span>\u003Cspan style=\"color:#FFAB70\">keyManagers\u003C/span>\u003Cspan style=\"color:#E1E4E8\">, \u003C/span>\u003Cspan style=\"color:#FFAB70\">trustManagers\u003C/span>\u003Cspan style=\"color:#E1E4E8\">, \u003C/span>\u003Cspan style=\"color:#FFAB70\">secureRandom\u003C/span>\u003Cspan style=\"color:#E1E4E8\">) {\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#E1E4E8\">        console.\u003C/span>\u003Cspan style=\"color:#B392F0\">log\u003C/span>\u003Cspan style=\"color:#E1E4E8\">(\u003C/span>\u003Cspan style=\"color:#9ECBFF\">\"[+] SSLContext.init() called\"\u003C/span>\u003Cspan style=\"color:#E1E4E8\">);\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">        this\u003C/span>\u003Cspan style=\"color:#E1E4E8\">.\u003C/span>\u003Cspan style=\"color:#B392F0\">init\u003C/span>\u003Cspan style=\"color:#E1E4E8\">(keyManagers, trustManagers, secureRandom);\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#E1E4E8\">    };\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#E1E4E8\">});\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"frida-installation-und-verwendung\">FRIDA Installation und Verwendung\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># FRIDA Server auf Android-Gerät installieren\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> push\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> frida-server\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /data/local/tmp/\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> su\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -c\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"chmod 755 /data/local/tmp/frida-server\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> su\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -c\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"/data/local/tmp/frida-server &#x26;\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Script ausführen\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">frida\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -U\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -l\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> crypto_hooks.js\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> com.target.package\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"custom-recovery-und-fastboot-exploits\">Custom Recovery und Fastboot-Exploits\u003C/h2>\n\u003Ch3 id=\"twrp-installation-für-forensischen-zugang\">TWRP Installation für forensischen Zugang\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Bootloader entsperren (Herstellerabhängig)\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">fastboot\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> oem\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> unlock\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Oder\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">fastboot\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> flashing\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> unlock\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># TWRP flashen\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">fastboot\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> flash\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> recovery\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> twrp-device.img\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">fastboot\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> boot\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> twrp-device.img\u003C/span>\u003Cspan style=\"color:#6A737D\">  # Temporäre Installation\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># In TWRP: ADB-Zugang mit Root-Berechtigungen\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mount\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /system\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mount\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /data\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"partitions-imaging-mit-dd\">Partitions-Imaging mit dd\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Vollständige Partition-Liste\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> cat\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /proc/partitions\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Kritische Partitionen extrahieren\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> dd\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> if=/dev/block/bootdevice/by-name/system\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> of=/external_sd/system.img\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> dd\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> if=/dev/block/bootdevice/by-name/userdata\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> of=/external_sd/userdata.img\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">adb\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> shell\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> dd\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> if=/dev/block/bootdevice/by-name/boot\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> of=/external_sd/boot.img\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"sqlite-forensics-und-gelöschte-daten\">SQLite Forensics und gelöschte Daten\u003C/h2>\n\u003Ch3 id=\"erweiterte-sqlite-analyse\">Erweiterte SQLite-Analyse\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Freelist-Analyse für gelöschte Einträge\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sqlite3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> database.db\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"PRAGMA freelist_count;\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sqlite3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> database.db\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"PRAGMA page_size;\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># WAL-Datei Analyse\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sqlite3\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> database.db\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"PRAGMA wal_checkpoint;\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">strings\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> database.db-wal\u003C/span>\u003Cspan style=\"color:#F97583\"> |\u003C/span>\u003Cspan style=\"color:#B392F0\"> grep\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -i\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> \"search_term\"\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Undark für Deleted Record Recovery\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">undark\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> database.db\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --freelist\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --export-csv\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"timeline-rekonstruktion\">Timeline-Rekonstruktion\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Autopsy Timeline-Generierung\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Tools → Generate Timeline\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Analyse von MAC-Times (Modified, Accessed, Created)\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#6A737D\"># Plaso Timeline-Tools\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">log2timeline.py\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> timeline.plaso\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /path/to/android/data/\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">psort.py\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -o\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> dynamic\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> timeline.plaso\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"weiterführende-ressourcen\">Weiterführende Ressourcen\u003C/h2>\n\u003Ch3 id=\"dokumentation-und-standards\">Dokumentation und Standards\u003C/h3>\n\u003Cul>\n\u003Cli>\u003Ca href=\"https://csrc.nist.gov/pubs/sp/800/101/r1/final\">NIST SP 800-101 Rev. 1 - Mobile Device Forensics Guidelines\u003C/a>\u003C/li>\n\u003Cli>\u003Ca href=\"https://www.sans.org/cyber-security-courses/advanced-smartphone-mobile-device-forensics/\">SANS FOR585 - Smartphone Forensics\u003C/a>\u003C/li>\n\u003Cli>\u003Ca href=\"https://github.com/abrignoni/ALEAPP\">ALEAPP GitHub Repository\u003C/a>\u003C/li>\n\u003Cli>\u003Ca href=\"https://docs.mvt.re/en/latest/\">MVT Documentation\u003C/a>\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"community-und-weiterbildung\">Community und Weiterbildung\u003C/h3>\n\u003Cul>\n\u003Cli>\u003Ca href=\"https://sleuthkit.org/autopsy/docs/\">Autopsy User Documentation\u003C/a>\u003C/li>\n\u003Cli>\u003Ca href=\"https://github.com/impillar/AndroidReferences/blob/master/AndroidTools.md\">Android Forensics References\u003C/a>\u003C/li>\n\u003Cli>\u003Ca href=\"https://github.com/mesquidar/ForensicsTools\">Digital Forensics Framework Collection\u003C/a>\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"spezialisierte-tools\">Spezialisierte Tools\u003C/h3>\n\u003Cul>\n\u003Cli>\u003Ca href=\"https://github.com/bkerler/mtkclient\">MTKClient für MediaTek Exploits\u003C/a>\u003C/li>\n\u003Cli>\u003Ca href=\"https://github.com/nowsecure/android-forensics\">Android Forensics Framework\u003C/a>\u003C/li>\n\u003Cli>\u003Ca href=\"https://santoku-linux.com/\">Santoku Linux Mobile Forensics Distribution\u003C/a>\u003C/li>\n\u003C/ul>\n\u003Chr>\n\u003Cp>\u003Cstrong>Wichtiger Hinweis\u003C/strong>: Diese Anleitung dient ausschließlich für autorisierte forensische Untersuchungen. Stellen Sie sicher, dass Sie über entsprechende rechtliche Befugnisse verfügen, bevor Sie diese Techniken anwenden. Bei Zweifeln konsultieren Sie Rechtsberatung.\u003C/p>",{"headings":309,"localImagePaths":531,"remoteImagePaths":532,"frontmatter":290,"imagePaths":533},[310,311,314,317,318,321,324,326,329,332,335,338,341,344,347,350,351,354,357,360,363,366,369,372,375,378,379,382,385,388,391,394,397,400,403,406,409,412,415,418,419,422,425,428,431,434,437,440,443,446,449,452,453,456,459,462,465,468,471,474,477,480,483,486,489,492,495,498,501,504,507,510,513,516,519,522,525,528],{"depth":43,"slug":44,"text":45},{"depth":47,"slug":312,"text":313},"kernkomponenten-des-open-source-forensik-stacks","Kernkomponenten des Open-Source Forensik-Stacks",{"depth":47,"slug":315,"text":316},"erfolgsraten-nach-gerätealter","Erfolgsraten nach Gerätealter",{"depth":43,"slug":48,"text":49},{"depth":47,"slug":319,"text":320},"sift-workstation-setup","SIFT Workstation Setup",{"depth":51,"slug":322,"text":323},"systemanforderungen","Systemanforderungen",{"depth":51,"slug":325,"text":49},"installation-1",{"depth":47,"slug":327,"text":328},"autopsy-installation","Autopsy Installation",{"depth":51,"slug":330,"text":331},"windows-installation","Windows Installation",{"depth":51,"slug":333,"text":334},"linux-installation","Linux Installation",{"depth":47,"slug":336,"text":337},"essential-tools-installation","Essential Tools Installation",{"depth":51,"slug":339,"text":340},"android-debug-bridge-adb","Android Debug Bridge (ADB)",{"depth":51,"slug":342,"text":343},"aleapp-installation","ALEAPP Installation",{"depth":51,"slug":345,"text":346},"mobile-verification-toolkit-mvt","Mobile Verification Toolkit (MVT)",{"depth":51,"slug":348,"text":349},"andriller-installation","Andriller Installation",{"depth":43,"slug":58,"text":59},{"depth":47,"slug":352,"text":353},"adb-setup-und-gerätevorbereitung","ADB Setup und Gerätevorbereitung",{"depth":51,"slug":355,"text":356},"usb-debugging-aktivieren","USB-Debugging aktivieren",{"depth":51,"slug":358,"text":359},"adb-verbindung-testen","ADB Verbindung testen",{"depth":47,"slug":361,"text":362},"autopsy-projektkonfiguration","Autopsy Projektkonfiguration",{"depth":51,"slug":364,"text":365},"case-setup","Case-Setup",{"depth":51,"slug":367,"text":368},"android-analyzer-module-aktivieren","Android Analyzer Module aktivieren",{"depth":51,"slug":370,"text":371},"hash-algorithmen-konfigurieren","Hash-Algorithmen konfigurieren",{"depth":47,"slug":373,"text":374},"mvt-konfiguration","MVT Konfiguration",{"depth":51,"slug":376,"text":377},"konfigurationsdatei-erstellen","Konfigurationsdatei erstellen",{"depth":43,"slug":70,"text":71},{"depth":47,"slug":380,"text":381},"fall-1-logische-datenextraktion-mit-adb","Fall 1: Logische Datenextraktion mit ADB",{"depth":51,"slug":383,"text":384},"geräteinformationen-sammeln","Geräteinformationen sammeln",{"depth":51,"slug":386,"text":387},"datenbank-extraktion","Datenbank-Extraktion",{"depth":51,"slug":389,"text":390},"whatsapp-datenextraktion","WhatsApp Datenextraktion",{"depth":47,"slug":392,"text":393},"fall-2-android-backup-analyse","Fall 2: Android Backup-Analyse",{"depth":51,"slug":395,"text":396},"vollständiges-backup-erstellen","Vollständiges Backup erstellen",{"depth":51,"slug":398,"text":399},"backup-mit-aleapp-analysieren","Backup mit ALEAPP analysieren",{"depth":47,"slug":401,"text":402},"fall-3-mvt-kompromittierungsanalyse","Fall 3: MVT Kompromittierungsanalyse",{"depth":51,"slug":404,"text":405},"live-geräteanalyse","Live-Geräteanalyse",{"depth":51,"slug":407,"text":408},"ioc-suche-mit-pegasus-indikatoren","IOC-Suche mit Pegasus-Indikatoren",{"depth":47,"slug":410,"text":411},"fall-4-physische-extraktion-root-erforderlich","Fall 4: Physische Extraktion (Root erforderlich)",{"depth":51,"slug":413,"text":414},"device-rooting---mediatek-geräte","Device Rooting - MediaTek Geräte",{"depth":51,"slug":416,"text":417},"vollständiges-memory-dump","Vollständiges Memory Dump",{"depth":43,"slug":79,"text":80},{"depth":47,"slug":420,"text":421},"rechtliche-compliance","Rechtliche Compliance",{"depth":51,"slug":423,"text":424},"dokumentation-und-chain-of-custody","Dokumentation und Chain of Custody",{"depth":51,"slug":426,"text":427},"familiengeräte-und-nachlässe","Familiengeräte und Nachlässe",{"depth":47,"slug":429,"text":430},"technische-best-practices","Technische Best Practices",{"depth":51,"slug":432,"text":433},"hash-integrität-sicherstellen","Hash-Integrität sicherstellen",{"depth":51,"slug":435,"text":436},"sichere-arbeitsumgebung","Sichere Arbeitsumgebung",{"depth":51,"slug":438,"text":439},"qualitätssicherung","Qualitätssicherung",{"depth":47,"slug":441,"text":442},"erfolgsmaximierung-nach-gerätehersteller","Erfolgsmaximierung nach Gerätehersteller",{"depth":51,"slug":444,"text":445},"mediatek-geräte-höchste-erfolgsrate","MediaTek-Geräte (Höchste Erfolgsrate)",{"depth":51,"slug":447,"text":448},"samsung-geräte","Samsung-Geräte",{"depth":51,"slug":450,"text":451},"pixelnexus-geräte","Pixel/Nexus-Geräte",{"depth":43,"slug":82,"text":83},{"depth":47,"slug":454,"text":455},"problem-adb-erkennt-gerät-nicht","Problem: ADB erkennt Gerät nicht",{"depth":51,"slug":457,"text":458},"lösung-usb-treiber-und-berechtigungen","Lösung: USB-Treiber und Berechtigungen",{"depth":51,"slug":460,"text":461},"windows-treiber-installation","Windows: Treiber-Installation",{"depth":47,"slug":463,"text":464},"problem-verschlüsselte-android-backups","Problem: Verschlüsselte Android Backups",{"depth":51,"slug":466,"text":467},"lösung-android-backup-extractor","Lösung: Android Backup Extractor",{"depth":47,"slug":469,"text":470},"problem-unzureichende-berechtigungen-für-datenextraktion","Problem: Unzureichende Berechtigungen für Datenextraktion",{"depth":51,"slug":472,"text":473},"lösung-alternative-extraktionsmethoden","Lösung: Alternative Extraktionsmethoden",{"depth":47,"slug":475,"text":476},"problem-aleapp-parsing-fehler","Problem: ALEAPP Parsing-Fehler",{"depth":51,"slug":478,"text":479},"lösung-datenformat-probleme-beheben","Lösung: Datenformat-Probleme beheben",{"depth":43,"slug":481,"text":482},"erweiterte-techniken","Erweiterte Techniken",{"depth":47,"slug":484,"text":485},"memory-forensics-mit-lime","Memory Forensics mit LiME",{"depth":51,"slug":487,"text":488},"lime-für-arm-devices-kompilieren","LiME für ARM-Devices kompilieren",{"depth":51,"slug":490,"text":491},"volatility-analyse-von-android-memory","Volatility-Analyse von Android Memory",{"depth":47,"slug":493,"text":494},"frida-basierte-runtime-analyse","FRIDA-basierte Runtime-Analyse",{"depth":51,"slug":496,"text":497},"frida-für-kryptographie-hooks","FRIDA für Kryptographie-Hooks",{"depth":51,"slug":499,"text":500},"frida-installation-und-verwendung","FRIDA Installation und Verwendung",{"depth":47,"slug":502,"text":503},"custom-recovery-und-fastboot-exploits","Custom Recovery und Fastboot-Exploits",{"depth":51,"slug":505,"text":506},"twrp-installation-für-forensischen-zugang","TWRP Installation für forensischen Zugang",{"depth":51,"slug":508,"text":509},"partitions-imaging-mit-dd","Partitions-Imaging mit dd",{"depth":47,"slug":511,"text":512},"sqlite-forensics-und-gelöschte-daten","SQLite Forensics und gelöschte Daten",{"depth":51,"slug":514,"text":515},"erweiterte-sqlite-analyse","Erweiterte SQLite-Analyse",{"depth":51,"slug":517,"text":518},"timeline-rekonstruktion","Timeline-Rekonstruktion",{"depth":47,"slug":520,"text":521},"weiterführende-ressourcen","Weiterführende Ressourcen",{"depth":51,"slug":523,"text":524},"dokumentation-und-standards","Dokumentation und Standards",{"depth":51,"slug":526,"text":527},"community-und-weiterbildung","Community und Weiterbildung",{"depth":51,"slug":529,"text":530},"spezialisierte-tools","Spezialisierte Tools",[],[],[],"android-logical-imaging.md","nextcloud",{"id":535,"data":537,"body":551,"filePath":552,"digest":553,"rendered":554,"legacyId":590},{"title":538,"tool_name":539,"description":540,"last_updated":541,"author":16,"difficulty":542,"categories":543,"tags":545,"sections":550,"review_status":34},"Nextcloud - Sichere Kollaborationsplattform","Nextcloud","Detaillierte Anleitung und Best Practices für Nextcloud in forensischen Einsatzszenarien",["Date","2025-07-20T00:00:00.000Z"],"novice",[544],"collaboration-general",[25,546,547,27,548,549],"collaboration","file-sharing","encryption","document-management",{"overview":32,"installation":32,"configuration":32,"usage_examples":32,"best_practices":32,"troubleshooting":32,"advanced_topics":33},"> **⚠️ Hinweis**: Dies ist ein vorläufiger, KI-generierter Knowledgebase-Eintrag. Wir freuen uns über Verbesserungen und Ergänzungen durch die Community!\n\n\n# Übersicht\n\nNextcloud ist eine Open-Source-Cloud-Suite, die speziell für die sichere Zusammenarbeit entwickelt wurde. Sie eignet sich ideal für forensische Teams, da sie eine DSGVO-konforme Umgebung mit verschlüsselter Dateiablage, Office-Integration und Videokonferenzen bereitstellt. Zusätzlich bietet Nextcloud einen integrierten SSO-Provider, der das Identitätsmanagement für andere forensische Tools stark vereinfacht.\n\nSkalierbar von kleinen Raspberry-Pi-Installationen bis hin zu hochverfügbaren Multi-Node-Setups.\n\n- **Website:** [nextcloud.com](https://nextcloud.com/)\n- **Demo/Projektinstanz:** [cloud.cc24.dev](https://cloud.cc24.dev)\n- **Statusseite:** [Mikoshi Status](https://status.mikoshi.de/api/badge/11/status)\n- **Lizenz:** AGPL-3.0\n\n---\n\n## Installation\n\n### Voraussetzungen\n\n- Linux-Server oder Raspberry Pi\n- PHP 8.1 oder höher\n- MariaDB/PostgreSQL\n- Webserver (Apache/Nginx)\n- SSL-Zertifikat (empfohlen: Let's Encrypt)\n\n### Installationsschritte (Ubuntu Beispiel)\n\n```bash\nsudo apt update && sudo apt upgrade\nsudo apt install apache2 mariadb-server libapache2-mod-php php php-mysql \\\n  php-gd php-xml php-mbstring php-curl php-zip php-intl php-bcmath unzip\n\nwget https://download.nextcloud.com/server/releases/latest.zip\nunzip latest.zip -d /var/www/\nchown -R www-data:www-data /var/www/nextcloud\n````\n\nDanach den Web-Installer im Browser aufrufen (`https://\u003Cyour-domain>/nextcloud`) und Setup abschließen.\n\n## Konfiguration\n\n* **Trusted Domains** in `config.php` definieren\n* SSO mit OpenID Connect aktivieren\n* Dateiverschlüsselung aktivieren (`Settings → Security`)\n* Benutzer und Gruppen über LDAP oder SAML integrieren\n\n## Verwendungsbeispiele\n\n### Gemeinsame Fallbearbeitung\n\n1. Ermittlungsordner als geteiltes Gruppenverzeichnis anlegen\n2. Versionierung und Kommentare zu forensischen Berichten aktivieren\n3. Vorschau für Office-Dateien, PDFs und Bilder direkt im Browser nutzen\n\n### Videokonferenzen mit \"Nextcloud Talk\"\n\n* Sichere Kommunikation zwischen Ermittlern und Sachverständigen\n* Ende-zu-Ende-verschlüsselt\n* Bildschirmfreigabe möglich\n\n### Automatischer Dateiimport per API\n\n* REST-Schnittstelle nutzen, um z. B. automatisch Logdateien oder Exportdaten hochzuladen\n* Ideal für Anbindung an SIEM, DLP oder Analyse-Pipelines\n\n## Best Practices\n\n* Zwei-Faktor-Authentifizierung aktivieren\n* Tägliche Backups der Datenbank und Datenstruktur\n* Nutzung von OnlyOffice oder Collabora für revisionssichere Dokumentenbearbeitung\n* Zugriff regelmäßig überprüfen, insbesondere bei externen Partnern\n\n## Troubleshooting\n\n### Problem: Langsame Performance\n\n**Lösung:** APCu aktivieren und Caching optimieren (`config.php → 'memcache.local'`).\n\n### Problem: Dateien erscheinen nicht im Sync\n\n**Lösung:** Cronjob für `files:scan` konfigurieren oder manuell ausführen:\n\n```bash\nsudo -u www-data php /var/www/nextcloud/occ files:scan --all\n```\n\n### Problem: Fehlermeldung \"Trusted domain not set\"\n\n**Lösung:** In `config/config.php` Eintrag `trusted_domains` korrekt konfigurieren:\n\n```php\n'trusted_domains' =>\n  array (\n    0 => 'yourdomain.tld',\n    1 => 'cloud.cc24.dev',\n  ),\n```\n\n## Weiterführende Themen\n\n* **Integration mit Forensik-Plattformen** (über WebDAV, API oder SSO)\n* **Custom Apps entwickeln** für spezielle Ermittlungs-Workflows\n* **Auditing aktivieren**: Nutzung und Änderungen nachvollziehen mit Protokollierungsfunktionen","src/content/knowledgebase/nextcloud.md","9294074e6083e37b",{"html":555,"metadata":556},"\u003Cblockquote>\n\u003Cp>\u003Cstrong>⚠️ Hinweis\u003C/strong>: Dies ist ein vorläufiger, KI-generierter Knowledgebase-Eintrag. Wir freuen uns über Verbesserungen und Ergänzungen durch die Community!\u003C/p>\n\u003C/blockquote>\n\u003Ch1 id=\"übersicht\">Übersicht\u003C/h1>\n\u003Cp>Nextcloud ist eine Open-Source-Cloud-Suite, die speziell für die sichere Zusammenarbeit entwickelt wurde. Sie eignet sich ideal für forensische Teams, da sie eine DSGVO-konforme Umgebung mit verschlüsselter Dateiablage, Office-Integration und Videokonferenzen bereitstellt. Zusätzlich bietet Nextcloud einen integrierten SSO-Provider, der das Identitätsmanagement für andere forensische Tools stark vereinfacht.\u003C/p>\n\u003Cp>Skalierbar von kleinen Raspberry-Pi-Installationen bis hin zu hochverfügbaren Multi-Node-Setups.\u003C/p>\n\u003Cul>\n\u003Cli>\u003Cstrong>Website:\u003C/strong> \u003Ca href=\"https://nextcloud.com/\">nextcloud.com\u003C/a>\u003C/li>\n\u003Cli>\u003Cstrong>Demo/Projektinstanz:\u003C/strong> \u003Ca href=\"https://cloud.cc24.dev\">cloud.cc24.dev\u003C/a>\u003C/li>\n\u003Cli>\u003Cstrong>Statusseite:\u003C/strong> \u003Ca href=\"https://status.mikoshi.de/api/badge/11/status\">Mikoshi Status\u003C/a>\u003C/li>\n\u003Cli>\u003Cstrong>Lizenz:\u003C/strong> AGPL-3.0\u003C/li>\n\u003C/ul>\n\u003Chr>\n\u003Ch2 id=\"installation\">Installation\u003C/h2>\n\u003Ch3 id=\"voraussetzungen\">Voraussetzungen\u003C/h3>\n\u003Cul>\n\u003Cli>Linux-Server oder Raspberry Pi\u003C/li>\n\u003Cli>PHP 8.1 oder höher\u003C/li>\n\u003Cli>MariaDB/PostgreSQL\u003C/li>\n\u003Cli>Webserver (Apache/Nginx)\u003C/li>\n\u003Cli>SSL-Zertifikat (empfohlen: Let’s Encrypt)\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"installationsschritte-ubuntu-beispiel\">Installationsschritte (Ubuntu Beispiel)\u003C/h3>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> update\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> &#x26;&#x26; \u003C/span>\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> upgrade\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apt\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> install\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> apache2\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> mariadb-server\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> libapache2-mod-php\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> php\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> php-mysql\u003C/span>\u003Cspan style=\"color:#79B8FF\"> \\\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#9ECBFF\">  php-gd\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> php-xml\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> php-mbstring\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> php-curl\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> php-zip\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> php-intl\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> php-bcmath\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> unzip\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">wget\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> https://download.nextcloud.com/server/releases/latest.zip\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">unzip\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> latest.zip\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -d\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /var/www/\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">chown\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -R\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> www-data:www-data\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /var/www/nextcloud\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Cp>Danach den Web-Installer im Browser aufrufen (\u003Ccode>https://&#x3C;your-domain>/nextcloud\u003C/code>) und Setup abschließen.\u003C/p>\n\u003Ch2 id=\"konfiguration\">Konfiguration\u003C/h2>\n\u003Cul>\n\u003Cli>\u003Cstrong>Trusted Domains\u003C/strong> in \u003Ccode>config.php\u003C/code> definieren\u003C/li>\n\u003Cli>SSO mit OpenID Connect aktivieren\u003C/li>\n\u003Cli>Dateiverschlüsselung aktivieren (\u003Ccode>Settings → Security\u003C/code>)\u003C/li>\n\u003Cli>Benutzer und Gruppen über LDAP oder SAML integrieren\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"verwendungsbeispiele\">Verwendungsbeispiele\u003C/h2>\n\u003Ch3 id=\"gemeinsame-fallbearbeitung\">Gemeinsame Fallbearbeitung\u003C/h3>\n\u003Col>\n\u003Cli>Ermittlungsordner als geteiltes Gruppenverzeichnis anlegen\u003C/li>\n\u003Cli>Versionierung und Kommentare zu forensischen Berichten aktivieren\u003C/li>\n\u003Cli>Vorschau für Office-Dateien, PDFs und Bilder direkt im Browser nutzen\u003C/li>\n\u003C/ol>\n\u003Ch3 id=\"videokonferenzen-mit-nextcloud-talk\">Videokonferenzen mit “Nextcloud Talk”\u003C/h3>\n\u003Cul>\n\u003Cli>Sichere Kommunikation zwischen Ermittlern und Sachverständigen\u003C/li>\n\u003Cli>Ende-zu-Ende-verschlüsselt\u003C/li>\n\u003Cli>Bildschirmfreigabe möglich\u003C/li>\n\u003C/ul>\n\u003Ch3 id=\"automatischer-dateiimport-per-api\">Automatischer Dateiimport per API\u003C/h3>\n\u003Cul>\n\u003Cli>REST-Schnittstelle nutzen, um z. B. automatisch Logdateien oder Exportdaten hochzuladen\u003C/li>\n\u003Cli>Ideal für Anbindung an SIEM, DLP oder Analyse-Pipelines\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"best-practices\">Best Practices\u003C/h2>\n\u003Cul>\n\u003Cli>Zwei-Faktor-Authentifizierung aktivieren\u003C/li>\n\u003Cli>Tägliche Backups der Datenbank und Datenstruktur\u003C/li>\n\u003Cli>Nutzung von OnlyOffice oder Collabora für revisionssichere Dokumentenbearbeitung\u003C/li>\n\u003Cli>Zugriff regelmäßig überprüfen, insbesondere bei externen Partnern\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"troubleshooting\">Troubleshooting\u003C/h2>\n\u003Ch3 id=\"problem-langsame-performance\">Problem: Langsame Performance\u003C/h3>\n\u003Cp>\u003Cstrong>Lösung:\u003C/strong> APCu aktivieren und Caching optimieren (\u003Ccode>config.php → 'memcache.local'\u003C/code>).\u003C/p>\n\u003Ch3 id=\"problem-dateien-erscheinen-nicht-im-sync\">Problem: Dateien erscheinen nicht im Sync\u003C/h3>\n\u003Cp>\u003Cstrong>Lösung:\u003C/strong> Cronjob für \u003Ccode>files:scan\u003C/code> konfigurieren oder manuell ausführen:\u003C/p>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"bash\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#B392F0\">sudo\u003C/span>\u003Cspan style=\"color:#79B8FF\"> -u\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> www-data\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> php\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> /var/www/nextcloud/occ\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> files:scan\u003C/span>\u003Cspan style=\"color:#79B8FF\"> --all\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch3 id=\"problem-fehlermeldung-trusted-domain-not-set\">Problem: Fehlermeldung “Trusted domain not set”\u003C/h3>\n\u003Cp>\u003Cstrong>Lösung:\u003C/strong> In \u003Ccode>config/config.php\u003C/code> Eintrag \u003Ccode>trusted_domains\u003C/code> korrekt konfigurieren:\u003C/p>\n\u003Cpre class=\"astro-code github-dark\" style=\"background-color:#24292e;color:#e1e4e8; overflow-x: auto;\" tabindex=\"0\" data-language=\"php\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"color:#9ECBFF\">'trusted_domains'\u003C/span>\u003Cspan style=\"color:#F97583\"> =>\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">  array\u003C/span>\u003Cspan style=\"color:#E1E4E8\"> (\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">    0\u003C/span>\u003Cspan style=\"color:#F97583\"> =>\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> 'yourdomain.tld'\u003C/span>\u003Cspan style=\"color:#E1E4E8\">,\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#79B8FF\">    1\u003C/span>\u003Cspan style=\"color:#F97583\"> =>\u003C/span>\u003Cspan style=\"color:#9ECBFF\"> 'cloud.cc24.dev'\u003C/span>\u003Cspan style=\"color:#E1E4E8\">,\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"color:#E1E4E8\">  ),\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\n\u003Ch2 id=\"weiterführende-themen\">Weiterführende Themen\u003C/h2>\n\u003Cul>\n\u003Cli>\u003Cstrong>Integration mit Forensik-Plattformen\u003C/strong> (über WebDAV, API oder SSO)\u003C/li>\n\u003Cli>\u003Cstrong>Custom Apps entwickeln\u003C/strong> für spezielle Ermittlungs-Workflows\u003C/li>\n\u003Cli>\u003Cstrong>Auditing aktivieren\u003C/strong>: Nutzung und Änderungen nachvollziehen mit Protokollierungsfunktionen\u003C/li>\n\u003C/ul>",{"headings":557,"localImagePaths":587,"remoteImagePaths":588,"frontmatter":537,"imagePaths":589},[558,559,560,561,564,565,566,569,572,575,576,577,580,583,586],{"depth":43,"slug":44,"text":45},{"depth":47,"slug":48,"text":49},{"depth":51,"slug":52,"text":53},{"depth":51,"slug":562,"text":563},"installationsschritte-ubuntu-beispiel","Installationsschritte (Ubuntu Beispiel)",{"depth":47,"slug":58,"text":59},{"depth":47,"slug":70,"text":71},{"depth":51,"slug":567,"text":568},"gemeinsame-fallbearbeitung","Gemeinsame Fallbearbeitung",{"depth":51,"slug":570,"text":571},"videokonferenzen-mit-nextcloud-talk","Videokonferenzen mit “Nextcloud Talk”",{"depth":51,"slug":573,"text":574},"automatischer-dateiimport-per-api","Automatischer Dateiimport per API",{"depth":47,"slug":79,"text":80},{"depth":47,"slug":82,"text":83},{"depth":51,"slug":578,"text":579},"problem-langsame-performance","Problem: Langsame Performance",{"depth":51,"slug":581,"text":582},"problem-dateien-erscheinen-nicht-im-sync","Problem: Dateien erscheinen nicht im Sync",{"depth":51,"slug":584,"text":585},"problem-fehlermeldung-trusted-domain-not-set","Problem: Fehlermeldung “Trusted domain not set”",{"depth":47,"slug":94,"text":95},[],[],[],"nextcloud.md"]
\ No newline at end of file
diff --git a/data/embeddings.json b/data/embeddings.json
index 2843932..0ac939b 100644
--- a/data/embeddings.json
+++ b/data/embeddings.json
@@ -1,2116 +1,1061 @@
 {
-  "version": "f8268968778498106b17f90ff1564b727365de6960604c1e64cf1cde6e657c89",
-  "lastUpdated": 1754638423340,
+  "version": "817d9521eea5b50dc02055798c89f07b999c63f314733a8e4bb5a3ece285b155",
+  "lastUpdated": 1754642980661,
   "embeddings": [
     {
-      "id": "tool_Microsoft_Office_365",
+      "id": "tool_dcfldd",
       "type": "tool",
-      "name": "Microsoft Office 365",
-      "content": "microsoft office 365 transformiert komplexe log-dateien durch power query in aussagekräftige  visualisierungen für big-data-forensik. power pivot verarbeitet millionen  datensätze, excel-makros automatisieren routine-analysen.  kollaborations-features ermöglichen echtzeit-teamarbeit, cloud-storage  sichert große beweis-sammlungen. advanced ediscovery für compliance,  teams integriert sichere kommunikation. onenote sammelt screenshots  strukturiert, power automate verbindet forensik-tools. ki-features in  editor verbessern report-qualität. gui web-interface commercial collaboration visualization cloud-artifacts power-query ediscovery version-control team-integration mobile-apps automation-capable incident-response static-investigations malware-analysis fraud-investigation network-forensics mobile-forensics cloud-forensics ics-forensics examination analysis reporting",
+      "name": "dcfldd",
+      "content": "dcfldd defense computer forensics lab dd erweitert das klassische dd um essenzielle forensische features. simultane hash-berechnung (md5, sha1, sha256) während des imaging spart zeit und garantiert integrität. status-output zeigt geschwindigkeit, verbleibende zeit und übertragene daten. split-on-the-fly für multi-volume-archives ohne zwischenspeicherung. pattern-wiping für sicheres löschen nach dod-standards. log-output dokumentiert jeden schritt für chain-of-custody. die verify-funktion prüft geschriebene daten sofort. besonders wertvoll: hashing einzelner blöcke für granulare integritätsprüfung, fortsetzen unterbrochener images, mehrere output-ziele gleichzeitig. die forensischen erweiterungen machen es zur ersten wahl für professionelle labore. syntax bleibt dd-kompatibel für einfachen umstieg. performance mit großen blockgrößen optimiert. die aktive entwicklung hält mit modernen anforderungen schritt. standard in vielen forensik-distributionen. cli physical-copy hashing scenario:disk_imaging compression integrity-check split-output status-display pattern-wipe verify-mode block-hashing progress-reporting incident-response static-investigations data-collection",
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-      "metadata": {
-        "domains": [
-          "malware-analysis",
           "static-investigations"
         ],
         "phases": [
-          "analysis"
+          "data-collection"
         ],
         "tags": [
-          "disassembler",
-          "decompiler"
+          "cli",
+          "physical-copy",
+          "hashing",
+          "scenario:disk_imaging",
+          "compression",
+          "integrity-check",
+          "split-output",
+          "status-display",
+          "pattern-wipe",
+          "verify-mode",
+          "block-hashing",
+          "progress-reporting"
         ],
-        "skillLevel": "advanced",
+        "skillLevel": "intermediate",
         "type": "tool"
       }
     },
@@ -3165,4217 +2110,16848 @@
       }
     },
     {
-      "id": "tool_UnifiedLogReader",
+      "id": "tool_tcpdump",
       "type": "tool",
-      "name": "UnifiedLogReader",
-      "content": "unifiedlogreader alpha-stadium-parser für macos-unified-logging-system analysiert strukturierte logd-datenbanken für system-event-reconstruction. extrahiert versteckte debug-messages, kernel-events und app-crashes aus tracev3-files. besonders wertvoll bei malware-persistenz-analysis und system-tampering-detection. korreliert events über process-boundaries hinweg. experimentelle software mit begrenzter stability aber einzigartige capabilities. cli log-parser unified-logs python-tool macos-artifacts system-events kernel-analysis experimental incident-response malware-analysis examination analysis",
+      "name": "tcpdump",
+      "content": "tcpdump fundamentaler packet-sniffer mit bpf-filter-syntax für chirurgisch präzise packet-selektion seit 1987. memory-effiziente capture bei high-speed-interfaces, ring-buffer-mode rotiert automatisch. libpcap-basis macht captures kompatibel zu allen analysis-tools. verfügbar auf jedem unix-system. pcap cli network-forensics data-collection",
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+      "type": "tool",
+      "name": "Tsurugi Linux",
+      "content": "tsurugi linux die forensik-distribution kombiniert tools für ultimative ermittlungs-power. spezialisiert auf mobile- und malware-forensik mit einzigartigen features. der integrierte hardware-write-blocker verhindert beweis-kontamination. bento-menü organisiert tools nach japanischer effizienz-philosophie. besonders stark: android-forensik-suite mit adb-automatisierung, ios-backup-analyzer, umfangreiche malware-sandbox. die acquire-edition ist optimiert für schnelles imaging mit minimalem ram. performance- kernel speziell für forensik-hardware. einzigartig: integrierte übersetzungs-tools für internationale ermittlungen, unterstützung asiatischer zeichensätze, line-messenger-parser. die 64-bit-only- architektur nutzt modernen ram voll aus. live-patching hält tools aktuell ohne neustart. der stealth-mode deaktiviert alle netzwerk- interfaces. die alternative für ermittler die mehr als standard-distributionen wollen. gui write-blocker live-acquisition triage forensic-snapshots selective-imaging mobile-focused malware-sandbox asian-language hardware-writeblock performance-kernel stealth-mode incident-response static-investigations malware-analysis mobile-forensics",
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+          "malware-analysis",
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+        "phases": [],
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+      "content": "rapid incident response triage on macos spezialisierte methodik für schnelle forensische triage auf macos-systemen optimiert für enterprise-incident-response. priorisiert flüchtige artefakte und kritische indicators of compromise (iocs) für entscheidungen in unter 60 minuten. sammlung ohne full-disk-imaging: prozesslisten, netzwerk- verbindungen, launchagents/daemons, quarantine-events, tcc-datenbank. besondere macos-artefakte: unified logs, fsevents, spotlight-metadaten, xprotect-detections. tools wie aftermath oder osquery automatisieren datensammlung. die methodik adressiert macos-spezifische herausforderungen: sip, gatekeeper, code-signing-verifizierung. timeline-erstellung aus asl/uls für ereigniskorrelation. besonders wertvoll für mdm-verwaltete flotten mit hunderten macs. die dokumentation für remote-collection via ssh/ard. post-triage-entscheidung: full-forensics oder neuinstallation. anpassbar für verschiedene bedrohungsszenarien von malware bis insider-threats. triage fast-scan apfs selective-imaging macos-artifacts unified-logs launch-agents quarantine-events remote-collection mdm-compatible timeline-focused sip-aware incident-response static-investigations malware-analysis data-collection examination",
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+      "type": "tool",
+      "name": "Arkime",
+      "content": "arkime das full-packet-capture-monster (früher moloch) speichert und indiziert große aufkommen von netzwerkverkehr für historische forensik. erfasst traffic mit 10gbit/s+ und speichert pcap mit intelligenter kompression. die elasticsearch-integration ermöglicht schnelle suchen über monate von daten: ips, ports, protokolle, http-header, ssl-zertifikate. session-page visualisiert verbindungen mit protokoll-dekodierung. spi-graph zeigt traffic-patterns. wise (with intelligence see everything) reichert daten mit threat-intel an. arkime-capture skaliert horizontal für multiple 10g-links. die viewer-permissions ermöglichen granulare zugriffskontrolle. hunt-jobs durchsuchen historische daten nach neuen iocs. api für integration mit soc-tools. die hardware-anforderungen sind massiv (tb ram, pb storage), aber für ernsthafte nsm unverzichtbar. perfekt für apt-jagd und incident-rekonstruktion. web-interface pcap-capture elasticsearch-integration historical-analysis packet-filtering distributed full-packet-capture threat-intel-enrichment horizontal-scaling api-driven hunt-jobs spi-graph incident-response static-investigations network-forensics cloud-forensics malware-analysis data-collection examination analysis",
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+          "static-investigations",
+          "network-forensics",
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+        ],
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+      "name": "Sherloq",
+      "content": "sherloq das python-gui-toolkit für visuelle datei-analyse kombiniert klassische reverse-steganografie-techniken (lsb, palette-tweaking, dct-coefficient-scanning) mit modernen cv-algorithmen. heatmaps und histogramm-diffs zeigen manipulations-hotspots, während eine „carve-all-layers“-funktion versteckte daten in png, jpeg, bmp, gif und audio-spectra aufspürt. plugins für zsteg, binwalk und exiftool erweitern die pipeline. eine must-have-ergänzung zu ghidra & friends, wenn malware dateien als dead-drop nutzt. gui image-forensics steganography lsb-extraction histogram-analysis plugin-support malware-analysis static-investigations examination analysis",
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+        "domains": [
+          "static-investigations",
+          "incident-response"
+        ],
+        "phases": [
+          "examination"
+        ],
+        "tags": [
+          "cli",
+          "ewf-mounting",
+          "fuse-filesystem",
+          "read-only",
+          "segment-handling",
+          "cross-platform",
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+        ],
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+      }
+    },
+    {
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+      "type": "tool",
+      "name": "macOS Auto-Mount Prevention",
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+          "static-investigations"
+        ],
+        "phases": [
+          "data-collection"
+        ],
+        "tags": [
+          "write-blocker",
+          "disk-arbitrator",
+          "system-modification",
+          "contamination-prevention",
+          "sudo-required",
+          "manual-mounting"
+        ],
+        "skillLevel": "intermediate",
+        "type": "tool"
+      }
+    },
+    {
+      "id": "tool_Gitea",
+      "type": "tool",
+      "name": "Gitea",
+      "content": "gitea das federleichte git-repository-system perfekt für forensik-teams die ihre tools und dokumentation versionieren. go-basierte architektur läuft ressourcenschonend auf raspberry pi bis enterprise-server. die intuitive web-ui macht git zugänglich für weniger technische teammitglieder. besonders wertvoll für forensik: versionierung von yara-rules, ioc-listen, analysis-scripts, case-dokumentation. die eingebaute ci/cd-pipeline (actions) automatisiert tool-deployments und qualitätschecks. issue-tracker organisiert ermittlungs-tasks. wiki dokumentiert prozeduren. der code-review-workflow sichert vier-augen-prinzip. pull-request-templates standardisieren contributions. die api integriert mit forensik-workflows. mirror-funktionen synchronisieren externe repositories. niedrige systemanforderungen erlauben hosting im eigenen lab. die migration von github/gitlab ist nahtlos. perfekt für teams die kontrolle über ihre forensik- artefakte behalten wollen ohne cloud-abhängigkeit. der community- fork von gogs mit aktiverer entwicklung. web-interface version-control git-integration collaboration multi-user-support automation-ready ci-cd-actions issue-tracking wiki-system code-review api-driven lightweight incident-response malware-analysis static-investigations reporting",
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+      "type": "tool",
+      "name": "Ghidra",
+      "content": "ghidra nsas reverse-engineering-suite demokratisiert binary-analyse auf ida-pro-niveau. der decompiler transformiert assembly in lesbaren c-code für intuitiveres verständnis von programm-logik. unterstützt über 30 prozessor-architekturen von x86/x64 über arm bis zu obskuren embedded-cpus. das software reverse engineering framework ermöglicht kollaborative analyse durch ghidra-server. pcode als intermediate language vereinheitlicht cross-architecture-analysen. der function-graph visualisiert control-flow. data-type-manager rekonstruiert strukturen und klassen. script-manager automatisiert mit python/java wiederkehrende analysen. version tracking vergleicht binaries über versionen. cryptographic-signature-finder identifiziert verschlüsselungs-routinen. die extension-architektur erlaubt custom-analyzers. perfekt für malware-dekonstruktion, vulnerability-research und firmware-analyse. die steile lernkurve wird durch exzellente dokumentation und nsa-trainingsmaterial gemildert. gui binary-decode malware-unpacking cross-platform scripting opensource decompiler multi-architecture collaborative function-graph pattern-matching version-tracking malware-analysis ics-forensics static-investigations analysis",
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-      "content": "arcgis esris kommerzielle gis-plattform transformiert forensische geodaten in  aussagekräftige räumliche analysen für ermittlungen. besonders wertvoll für  komplexe bewegungsprofile aus gps-logs, cell-tower-triangulation und  fahrzeug-telematik. die arcmap-desktop-anwendung bietet erweiterte  spatial-queries: buffer-analysen identifizieren verdächtige in tatort-nähe,  hot-spot-detection findet kriminalitätsschwerpunkte, network-analyst  berechnet optimale fluchtrouten. integration mit datenbanken ermöglicht  korrelation von orten mit personen, fahrzeugen, kommunikation. die  3d-scene-funktionen rekonstruieren tatorte photorealistisch. crime-mapping- extensions speziell für strafverfolgung. der enterprise-fokus bedeutet  hohe kosten (ab 7.000€) und schulungsaufwand, aber bewährte kompetenz für geo-intelligence.  mapping visualization fraud-investigation network-forensics reporting",
+      "name": "X-Ways Forensics",
+      "content": "x-ways forensics das deutsche präzisionswerkzeug maximiert effizienz durch überlegene performance und durchdachte workflows. blitzschnelle searches in multi-terabyte-images durch optimierte algorithmen. simultane analyse mehrerer evidenzen spart zeit. die gallery-view mit skin-tone-detection beschleunigt csam-ermittlungen. x-tensions automatisieren wiederkehrende aufgaben. besonders stark: physical-search über sektorgrenzen hinweg, registry-report-generator, timeline mit millisekunden-präzision. der hex-editor zeigt rohdaten parallel zur interpretierten ansicht. template-support für proprietäre dateiformate. die spartanische gui schreckt einsteiger ab, aber profis schätzen die effizienz. deutlich günstiger als us-konkurrenz bei vergleichbarer funktionalität. der legendäre support durch stefan fleischmann persönlich. made in germany mit fokus auf gründlichkeit statt marketing. gui commercial keyword-search fast-scan court-admissible dongle-license hex-editor gallery-view x-tensions physical-search registry-analysis template-support static-investigations incident-response fraud-investigation examination analysis",
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       ],
       "metadata": {
         "domains": [
+          "static-investigations",
           "incident-response",
-          "static-investigations"
+          "fraud-investigation"
         ],
         "phases": [
-          "data-collection"
+          "examination",
+          "analysis"
         ],
         "tags": [
-          "cli",
-          "physical-copy",
-          "ewf-support",
-          "compression",
-          "chain-of-custody",
-          "scenario:disk_imaging",
-          "error-handling",
-          "segment-files",
-          "metadata-storage",
-          "hash-verification",
-          "resume-capability",
-          "cross-tool-compatible"
+          "gui",
+          "commercial",
+          "keyword-search",
+          "fast-scan",
+          "court-admissible",
+          "dongle-license",
+          "hex-editor",
+          "gallery-view",
+          "x-tensions",
+          "physical-search",
+          "registry-analysis",
+          "template-support"
         ],
-        "skillLevel": "intermediate",
+        "skillLevel": "expert",
         "type": "tool"
       }
     },
@@ -7383,1032 +18959,1032 @@
       "id": "tool_dc3dd",
       "type": "tool",
       "name": "dc3dd",
-      "content": "dc3dd dc3dd ist eine forensisch erweiterte variante des klassischen unix-befehls dd. sie unterstützt das gleichzeitige berechnen mehrerer hash-werte (md5, sha-1, sha-256, sha-512) während der image-erstellung, führt ein detailliertes log mit prüfsummen und fehlerblöcken und zeigt einen fortschrittsbalken an. weitere funktionen sind das splitten großer abbilder, das gezielte überschreiben von mustern zum sicheren löschen und die möglichkeit, fehlersektoren separat auszugeben, was besonders bei defekten medien hilfreich ist. disk-imaging hashing wiping logging cli incident-response static-investigations data-collection",
+      "content": "dc3dd dc3dd ist eine forensisch erweiterte variante des klassischen unix-befehls dd. sie unterstützt das gleichzeitige berechnen mehrerer hash-werte (md5, sha-1, sha-256, sha-512) während der image-erstellung, führt ein detailliertes log mit prüfsummen und fehlerblöcken und zeigt einen fortschrittsbalken an. weitere funktionen sind das splitten großer abbilder, das gezielte überschreiben von mustern zum sicheren löschen\\_und die möglichkeit, fehlersektoren separat auszugeben, was besonders bei defekten medien hilfreich ist. disk-imaging hashing wiping logging cli incident-response static-investigations data-collection",
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         "type": "tool"
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     },
+    {
+      "id": "tool_ExifTool",
+      "type": "tool",
+      "name": "ExifTool",
+      "content": "exiftool der universelle metadaten-extraktor liest und schreibt informationen in über 1200 dateiformaten - von jpeg-exif über pdf-metadata bis zu proprietären raw-formaten. findet versteckte schätze: gps-koordinaten in smartphone-fotos, autoren-informationen in office-dokumenten, änderungshistorien in pdfs, kamera-seriennummern in bildern. besonders wertvoll für osint und dokumenten-forensik. batch-processing für tausende dateien. timeline-erstellung aus datei-zeitstempeln. die -k option behält original-zeitstempel bei analyse. json/xml-export für programmatische weiterverarbeitung. unterstützt verschachtelte archive und eingebettete dokumente. die kommandozeile mag abschrecken, aber die mächtigkeit ist unübertroffen. gui-wrapper wie exiftoolgui erleichtern einsteigern den zugang. unverzichtbar für jede digitale ermittlung mit multimedia-bezug. cli metadata-parser geolocation cross-platform triage system-metadata batch-processing timeline-creation json-export osint-tool document-forensics multimedia-analysis incident-response static-investigations fraud-investigation mobile-forensics examination analysis",
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+        "domains": [
+          "incident-response",
+          "static-investigations",
+          "fraud-investigation",
+          "mobile-forensics"
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+        "phases": [
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+    {
+      "id": "tool_Android_Logical_Imaging",
+      "type": "tool",
+      "name": "Android Logical Imaging",
+      "content": "android logical imaging die forensische datenextraktion von android-geräten ohne rooting oder exploits - ideal für legacy-geräte und byod-szenarien. nutzt adb (android debug bridge) für autorisierten zugriff. vorbereitung: usb-debugging aktivieren, adb-autorisierung, oem-spezifische tricks (samsung smart switch, lg mobile switch). extraktion: adb backup für app-daten, pull-befehle für zugängliche bereiche (/sdcard, /data/media), content provider queries für kontakte/sms. parsing: android backup extractor für .ab-files, sqlite-analyse der datenbanken, xml-auswertung der preferences. limitierungen: keine system-apps, verschlüsselte bereiche unzugänglich, neuere android-versionen (12+) stark eingeschränkt. spezial-techniken: downgrade-attacks, sideloading forensischer apps, screen-recording für ui-basierte extraktion. der sweet-spot: android 4-8 geräte mit schwachen sicherheitsmechanismen. dokumentation der berechtigungen und nutzer-autorisierung für gerichtsverwertbarkeit essentiell. cli logical-copy mobile-app-data triage adb-based legacy-devices content-providers backup-extraction permission-based court-considerations mobile-forensics static-investigations data-collection",
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+      "metadata": {
+        "domains": [
+          "incident-response",
+          "static-investigations"
+        ],
+        "phases": [
+          "data-collection"
+        ],
+        "tags": [
+          "gui",
+          "physical-copy",
+          "multithreaded",
+          "hashing",
+          "scenario:file_recovery",
+          "ewf-support",
+          "performance-optimized",
+          "bad-sector-handling",
+          "hpa-dco-detection",
+          "simultaneous-output",
+          "progress-estimation",
+          "low-resource"
+        ],
+        "skillLevel": "novice",
+        "type": "tool"
+      }
+    },
     {
       "id": "tool_PhotoRec",
       "type": "tool",
@@ -9488,10521 +24236,6303 @@
       }
     },
     {
-      "id": "tool_CyberChef",
+      "id": "tool_Aftermath",
       "type": "tool",
-      "name": "CyberChef",
-      "content": "cyberchef das \"schweizer taschenmesser\" der daten-manipulation vereint über 400 operations für encoding, verschlüsselung, analyse und transformation. die visuelle \"rezept\"-metapher macht komplexe operationsketten intuitiv: base64 dekodieren → xor entschlüsseln → strings extrahieren → hashes berechnen. besonders wertvoll für malware-deobfuskation, ctf-challenges und forensische datenanalyse. magic-mode erkennt automatisch encodings. regex-support für pattern-extraktion. entropy-visualisierung identifiziert verschlüsselte bereiche. die offline-fähigkeit (läuft komplett im browser) macht es dsgvo-konform für sensible daten. import/export von rezepten für wiederverwendung. unterstützt dateien bis 2gb. code-beautifier für javascript, json, xml. image-forensik mit exif-extraktion. die github-version kann selbst gehostet werden. unverzichtbar für jeden digitalen ermittler. web-interface binary-decode decryption malware-unpacking string-search triage regex-operations magic-detection entropy-analysis recipe-based offline-capable data-transformation incident-response static-investigations malware-analysis network-forensics fraud-investigation examination analysis",
+      "name": "Aftermath",
+      "content": "aftermath jamfs open-source-juwel für macos-forensik sammelt systematisch artefakte ohne full-system-image. optimiert für incident-response mit minimalem system-impact. extrahiert kritische daten: laufende prozesse, netzwerk- verbindungen, installierte software, persistence-mechanismen. besonders wertvoll: unified-log-parser für system-events, browser-artefakte aller major-browser, quick-look-thumbnails, fsevents für dateiaktivitäten. die modulare architektur erlaubt selektive sammlung. output in strukturierten json/csv für einfache analyse. zeitstempel-normalisierung für timeline-erstellung. unterstützt moderne macos-security-features: tcc-permissions, code-signing-status, xprotect-matches. die remote- collection via mdm/ssh skaliert auf unternehmensflotten. besonders clever: sammlung von cloud-synchronisations-artefakten (icloud, dropbox). regelmäßige updates für neue macos-versionen. die alternative zu teuren kommerziellen mac-forensik-suiten. cli triage system-metadata apfs time-normalization structured-output unified-log-parser browser-artifacts persistence-checks tcc-analysis remote-capable json-export incident-response static-investigations malware-analysis data-collection examination",
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-        ],
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+          "system-metadata",
+          "apfs",
+          "time-normalization",
+          "structured-output",
+          "unified-log-parser",
+          "browser-artifacts",
+          "persistence-checks",
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+      "id": "tool_EnCase",
       "type": "tool",
-      "name": "Nextcloud",
-      "content": "nextcloud ermöglicht sichere cloud-collaboration für forensik-teams mit  end-to-end-verschlüsselung und granularen berechtigungen. file-sharing  mit ablaufdaten, versionierung dokumentiert alle änderungen,  collabora/onlyoffice-integration unterstützt gemeinsame  berichterstellung. talk verschlüsselt video-konferenzen, flow  automatisiert workflows (\"wenn report fertig → benachrichtige team\").  audit-logs für compliance, federation vernetzt mehrere  behörden-instanzen. dsgvo-konform durch eigene server-kontrolle. web-interface collaboration secure-sharing multi-user-support encrypted-reports rbac end-to-end-encryption audit-logging workflow-automation video-conferencing version-control federation incident-response static-investigations malware-analysis fraud-investigation network-forensics mobile-forensics cloud-forensics ics-forensics reporting",
+      "name": "EnCase",
+      "content": "encase sichert und analysiert datenträger-images durch enscript-programmierung für  komplexe automatisierungen. evidence-processor verarbeitet batch-analysen,  integrierte hex-ansicht dekodiert binärdaten, physical-analyzer-modul  extrahiert smartphone-daten. case-management skaliert auf großverfahren mit  gerichtsfester dokumentation. ence-zertifizierung validiert expertise, aber  hohe kosten (20.000€+) und dongle-schutz limitieren einsatzgebiete. das  etablierte tool verliert langsam marktanteile an modernere alternativen. gui commercial scripting court-admissible case-management dongle-license enscript evidence-processor batch-capable certification-path legacy-standard enterprise-scale static-investigations incident-response mobile-forensics data-collection examination analysis reporting",
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-          "end-to-end-encryption",
-          "audit-logging",
-          "workflow-automation",
-          "video-conferencing",
-          "version-control",
-          "federation"
+          "gui",
+          "commercial",
+          "scripting",
+          "court-admissible",
+          "case-management",
+          "dongle-license",
+          "enscript",
+          "evidence-processor",
+          "batch-capable",
+          "certification-path",
+          "legacy-standard",
+          "enterprise-scale"
         ],
-        "skillLevel": "novice",
+        "skillLevel": "intermediate",
         "type": "tool"
       }
     },
     {
-      "id": "tool_Firmware_Analysis_Toolkit",
+      "id": "tool_IDA_Pro",
       "type": "tool",
-      "name": "Firmware Analysis Toolkit",
-      "content": "firmware analysis toolkit attifys python-framework automatisiert die komplexe firmware-emulation  für dynamic-analysis von iot-geräten. basiert auf firmadyne-research  aber erweitert um praktische exploitation-tools. automatischer workflow:  binwalk-extraction → filesystem-reconstruction → qemu-emulation →  network-service-discovery → vulnerability-scanning. besonders wertvoll:  web-interface-crawler findet admin-panels automatisch,  default-credential-testing, sql-injection-fuzzing der management- interfaces. die arm/mips-emulation ermöglicht interactive-debugging  mit gdb. network-simulation stellt internet-connectivity bereit.  metasploit-integration für automated-exploitation. vulnerability- database korreliert findings mit cves. docker-setup vereinfacht  komplexe dependencies. die academic-herkunft garantiert  research-quality aber user-experience ist basic. perfekt für  security-researcher die iot-firmware auf scale analysieren müssen.  ergänzt statische tools um dynamic-analysis-capabilities. emulation firmware ics-forensics malware-analysis analysis",
+      "name": "IDA Pro",
+      "content": "ida pro vertreten im bereich des reverse engineering seit über 30 jahren -  hexrays ida pro definierte die statische binary-analyse. der  disassembler unterstützt über 50 prozessor-architekturen von x86  über arm bis zu exotischen dsps. der decompiler wandelt  assembly in lesbaren c-pseudocode um, interaktive cross-references  visualisieren code-beziehungen, der graph-view zeigt control-flow intuitiv.  idapython ermöglicht automatisierung komplexer analysen. die signature- datenbank (flirt) identifiziert standard-bibliotheken automatisch.  collaborative-features für teamanalysen. besonders stark bei malware- dekonstruktion, vulnerability-research und firmware-analyse. der preis  schreckt hobbyisten ab.  disassembler decompiler malware-analysis static-investigations analysis",
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+      "content": "ghiro die web-basierte bild­forensik-plattform automatisiert exif-analyse, hash-matching, error-level-evaluation (ela) und steganografie-erkennung für große dateibatches. unterstützt gesichts- und nsfw-detection sowie gps-reverse-geocoding für bewegungsprofile. reports sind gerichtsfest versioniert, rest-api und celery-worker skalieren auf millionen bilder – ideal für csam-ermittlungen oder fake-news-prüfung. web-interface image-forensics exif-analysis steganography nsfw-detection batch-processing static-investigations fraud-investigation mobile-forensics examination analysis reporting",
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         "domains": [
@@ -20010,1067 +30540,2131 @@
           "static-investigations"
         ],
         "phases": [
-          "data-collection"
+          "data-collection",
+          "examination"
         ],
         "tags": [
           "cli",
-          "physical-copy",
-          "hashing",
-          "scenario:disk_imaging",
+          "disk-imaging",
+          "mounting",
+          "apfs",
           "compression",
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-          "split-output",
-          "status-display",
-          "pattern-wipe",
-          "verify-mode",
-          "block-hashing",
-          "progress-reporting"
+          "encryption",
+          "checksum",
+          "sparse-images"
         ],
         "skillLevel": "intermediate",
         "type": "tool"
       }
     },
     {
-      "id": "tool_tcpdump",
+      "id": "tool_tmutil",
       "type": "tool",
-      "name": "tcpdump",
-      "content": "tcpdump fundamentaler packet-sniffer mit bpf-filter-syntax für chirurgisch präzise packet-selektion seit 1987. memory-effiziente capture bei high-speed-interfaces, ring-buffer-mode rotiert automatisch. libpcap-basis macht captures kompatibel zu allen analysis-tools. verfügbar auf jedem unix-system. pcap cli network-forensics data-collection",
+      "name": "tmutil",
+      "content": "tmutil time-machine-utility steuert macos-backup-system und analysiert snapshot-strukturen für forensische timeline-reconstruction. listet verfügbare backups, vergleicht versionen und extrahiert historische file-states. besonders wertvoll: point-in-time-recovery für evidence, metadata-analyse von backup-changes, apfs-snapshot-integration. thin-backup-analysis reduziert storage-overhead. command-line-access für scripting-integration. cli backup-analysis snapshot-examination apfs-snapshots version-comparison timeline-reconstruction point-in-time-recovery metadata-analysis static-investigations incident-response examination analysis",
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         "domains": [
-          "network-forensics"
+          "static-investigations",
+          "incident-response"
         ],
         "phases": [
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+          "examination",
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         ],
         "tags": [
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+          "cli",
+          "backup-analysis",
+          "snapshot-examination",
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+          "version-comparison",
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+        ],
+        "skillLevel": "intermediate",
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+      }
+    },
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+      "type": "tool",
+      "name": "VLEAPP",
+      "content": "vleapp vehicle logs, events, and properties parser erschließt die digitale blackbox moderner fahrzeuge. extrahiert daten aus infotainment-systemen, telematik- modulen und verbundenen smartphones. can-bus-logs enthüllen geschwindigkeit, bremsverhalten, airbag-events für unfallrekonstruktion. die gps-timeline zeigt routen mit stopps und fahrtzeiten. besonders wertvoll: bluetooth- verbindungsprotokolle identifizieren fahrer, carplay/android-auto-daten, gespeicherte wlan-hotspots. unterstützt tesla, bmw, mercedes, vw-gruppe und erweitert ständig. die kontaktlisten-extraktion findet synchronisierte telefonbücher. usb-historie zeigt angeschlossene geräte. event-data-recorder parsing für crash-forensik. die html-reports visualisieren bewegungsprofile auf karten. unersetzlich für unfälle, diebstähle und alibis. die wachsende fahrzeug-forensik-community teilt parser für neue modelle. cli artifact-parser geolocation timeline html-export system-metadata vehicle-forensics can-bus-data infotainment crash-data bluetooth-connections gps-tracking static-investigations ics-forensics fraud-investigation examination analysis",
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+        "phases": [
+          "examination",
+          "analysis"
+        ],
+        "tags": [
+          "cli",
+          "artifact-parser",
+          "geolocation",
+          "timeline",
+          "html-export",
+          "system-metadata",
+          "vehicle-forensics",
+          "can-bus-data",
+          "infotainment",
+          "crash-data",
+          "bluetooth-connections",
+          "gps-tracking"
         ],
         "skillLevel": "intermediate",
         "type": "tool"
@@ -22140,5263 +33734,2116 @@
       }
     },
     {
-      "id": "tool_ddrescue",
+      "id": "tool_FTK_Imager",
       "type": "tool",
-      "name": "ddrescue",
-      "content": "ddrescue gnu ddrescue ist ein spezialisiertes datenrettungs-tool, das beschädigte oder fehlerhafte blockgeräte sektorweise ausliest und zunächst alle gut lesbaren bereiche sichert, bevor es sich mehrfach an problematischen sektoren versucht. sein map-file protokolliert jeden leseversuch, sodass abgebrochene wiederherstellungen jederzeit fortgesetzt oder optimiert werden können, ohne bereits gerettete sektoren erneut zu belasten. zudem bietet ddrescue einen fill-modus, um schwierige bereiche gezielt mit platzhaltern zu überschreiben – nützlich für die vorbereitung nachträglicher dateisystem-reparaturen. data-recovery disk-imaging map-file cli scenario:disk_imaging static-investigations fraud-investigation data-collection",
+      "name": "FTK Imager",
+      "content": "ftk imager der klassiker für windows-basierte disk-akquisition erstellt gerichtsfeste images mit bewährter zuverlässigkeit. unterstützt raw, smart, e01 und aff formate mit kompression und verschlüsselung. die gui führt durch den imaging-prozess mit hash-verifizierung (md5/sha1). preview-mode ermöglicht triage ohne full-image. memory-capture für live-ram-akquisition. mount als read-only für sichere analyse. die kostenlose version deckt standard-aufgaben ab, limitiert aber bei erweiterten features. besonders geschätzt: zuverlässigkeit bei defekten sektoren, detaillierte logs und breite gerichtsakzeptanz. protected-folder-viewing für systemdateien. cli-version für automatisierung. die proprietäre natur und windows-only sind nachteile, aber in vielen labors der de-facto-standard. perfekt für einsteiger und routine-akquisitionen. gui physical-copy hashing court-admissible scenario:disk_imaging ewf-support memory-capture preview-mode bad-sector-handling protected-folders cli-available triage disk-imaging forensic-imaging evidence-acquisition static-investigations incident-response data-collection",
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         "domains": [
           "static-investigations",
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         "phases": [
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-      "content": "chainbreaker python-tool extrahiert passwörter, zertifikate und schlüssel aus macos-keychain-dateien für credential-recovery. dekryptiert sowohl login- als auch system-keychains mit user-passwort oder master-key. besonders wertvoll: wifi-passwort-extraktion, certificate-chain-analysis, secure-notes-dekodierung. batch-processing für enterprise-deployments. export in strukturierte formate für weitere analyse. standard für macos-credential-forensik. cli credential-extraction keychain-analysis password-recovery certificate-analysis python-tool macos-artifacts wifi-passwords static-investigations incident-response examination analysis",
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+      "id": "tool_Live_Memory_Acquisition_Procedure",
       "type": "tool",
-      "name": "macOS Keychain Forensic Analysis",
-      "content": "macos keychain forensic analysis extraktion und entschlüsselung von passwörtern aus macos keychain-dateien (~/library/keychains/*) für zugangsdaten-recovery. auf t2/m1-systemen hardware-bindung durch hek-schlüssel, entschlüsselung nur mit bekanntem benutzerpasswort möglich. neuere versionen: export-funktion deaktiviert, alternative über safari-password-manager (csv-export) oder python-chainbreaker-tools für offline-analyse. keychain-analysis password-extraction hardware-encryption credential-recovery t2-m1-limitations python-tools access-restriction static-investigations incident-response fraud-investigation examination analysis",
+      "name": "Live Memory Acquisition Procedure",
+      "content": "live memory acquisition procedure die forensisch korrekte sicherung des arbeitsspeichers laufender systeme erfordert systematisches vorgehen zur minimierung der artefakt-kontamination. kritische entscheidung: priorisierung flüchtiger beweise vs. system-stabilität. tool-auswahl nach os: winpmem (windows), lime (linux), osxpmem (macos). vorbereitung: tool auf externem medium, admin-rechte sichern, ziel-storage mit ausreichend platz. durchführung: dokumentation des system-zustands, tool-ausführung mit minimalen befehlen, hash-generierung sofort. besondere herausforderungen: kernel-schutz-mechanismen (patchguard, secure boot), anti-forensik-malware, virtualisierte umgebungen. die ersten sekunden kontaminieren unweigerlich - transparenz in der dokumentation essentiell. post-akquisition: volatility-profil erstellen, timeline der sammlung, vergleich mit disk-artefakten. der unterschied zwischen verwertbaren und wertlosen memory-dumps liegt oft in der methodik. live-acquisition scenario:memory_dump chain-of-custody standards-compliant contamination-aware tool-selection kernel-protection anti-forensics documentation-critical volatility-compatible incident-response static-investigations malware-analysis data-collection",
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       "metadata": {
         "domains": [
-          "static-investigations",
           "incident-response",
-          "fraud-investigation"
+          "static-investigations",
+          "malware-analysis"
         ],
         "phases": [
-          "examination",
-          "analysis"
+          "data-collection"
         ],
         "tags": [
-          "keychain-analysis",
-          "password-extraction",
-          "hardware-encryption",
-          "credential-recovery",
-          "t2-m1-limitations",
-          "python-tools",
-          "access-restriction"
+          "live-acquisition",
+          "scenario:memory_dump",
+          "chain-of-custody",
+          "standards-compliant",
+          "contamination-aware",
+          "tool-selection",
+          "kernel-protection",
+          "anti-forensics",
+          "documentation-critical",
+          "volatility-compatible"
         ],
         "skillLevel": "advanced",
         "type": "tool"
@@ -28457,9481 +36904,2094 @@
       }
     },
     {
-      "id": "tool_Sherloq",
+      "id": "tool_x64dbg",
       "type": "tool",
-      "name": "Sherloq",
-      "content": "sherloq das python-gui-toolkit für visuelle datei-analyse kombiniert klassische reverse-steganografie-techniken (lsb, palette-tweaking, dct-coefficient-scanning) mit modernen cv-algorithmen. heatmaps und histogramm-diffs zeigen manipulations-hotspots, während eine „carve-all-layers“-funktion versteckte daten in png, jpeg, bmp, gif und audio-spectra aufspürt. plugins für zsteg, binwalk und exiftool erweitern die pipeline. eine must-have-ergänzung zu ghidra & friends, wenn malware dateien als dead-drop nutzt. gui image-forensics steganography lsb-extraction histogram-analysis plugin-support malware-analysis static-investigations examination analysis",
+      "name": "x64dbg",
+      "content": "x64dbg kostenloser windows-debugger mit moderner 64-bit-architektur und aktivem plugin-ecosystem. anti-anti-debug-plugins umgehen evasion-techniken, script-engine automatisiert repetitive tasks. memory-map-viewer, conditional-breakpoints und multi-threading-support für moderne malware-dynamic-analysis. debugger reverse-engineering malware-analysis analysis",
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-      "id": "tool_MSAB_XRY",
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-      "name": "MSAB XRY",
-      "content": "msab xry die schwedische mobile-forensik-suite bietet physical und logical  extraction für ios und android mit regelmäßigen exploit-updates.  besonders stark bei chinesischen smartphones (huawei, xiaomi) und  speziellen hardware-typen. der drone-module extrahiert flugdaten von  dji und parrot. xry camera identifiziert geräte aus bildern. die  analyze-software visualisiert kommunikationsmuster und bewegungs- profile. xamn-elements für link-analyse zwischen mehreren geräten.  cloud-extraction für 30+ services. die pin-code-breaker-hardware  knackt 4-6 stellige codes. training und zertifizierung inklusive.  preislich mit cellebrite vergleichbar (15.000€+) aber mit  transparenterer verkaufspolitik. updates alle 6-8 wochen für neue  apps. eu-basierte alternative zu us-amerikanischen lösungen. gui commercial mobile-app-data physical-copy decryption court-admissible drone-forensics chinese-phones pin-cracking cloud-extraction link-analysis eu-based mobile-forensics static-investigations fraud-investigation data-collection examination analysis",
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+      "id": "tool_Zeek",
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-      "name": "SIFT Workstation",
-      "content": "sift workstation sans investigative forensic toolkit vereint über 500 open-source-tools in einer kuratierten ubuntu-distribution. rob lees vision einer kostenlosen alternative zu kommerziellen suiten wurde realität. vorinstalliert und konfiguriert: autopsy, volatility, plaso, registry-tools, timeline-analyzer. die dfir-menüstruktur gruppiert tools nach untersuchungsphasen. besonders wertvoll: vorkonfigurierte python-umgebungen, aktualisierte tool-versionen, integrierte dokumentation. remnux-integration für malware-analyse. die vm kann als appliance oder wsl2 laufen. regelmäßige updates durch sans- community. die mitgelieferten cheat-sheets beschleunigen einarbeitung. mount-image-pro automatisiert evidence-mounting. sift-cli verwaltet updates. die kostenlosen workbooks führen durch typische untersuchungen. performance optimiert für forensik-workloads. die alternative wenn budget für kommerzielle tools fehlt. gui cli cross-platform write-blocker live-acquisition signature-updates tool-collection documentation-rich training-focused vm-ready wsl2-compatible community-maintained incident-response static-investigations malware-analysis network-forensics mobile-forensics",
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         "domains": [
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           "analysis"
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         "type": "tool"
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@@ -43217,1035 +41113,15792 @@
       }
     },
     {
-      "id": "tool_Android_Logical_Imaging",
+      "id": "tool_VirusTotal",
       "type": "tool",
-      "name": "Android Logical Imaging",
-      "content": "android logical imaging die forensische datenextraktion von android-geräten ohne rooting oder exploits - ideal für legacy-geräte und byod-szenarien. nutzt adb (android debug bridge) für autorisierten zugriff. vorbereitung: usb-debugging aktivieren, adb-autorisierung, oem-spezifische tricks (samsung smart switch, lg mobile switch). extraktion: adb backup für app-daten, pull-befehle für zugängliche bereiche (/sdcard, /data/media), content provider queries für kontakte/sms. parsing: android backup extractor für .ab-files, sqlite-analyse der datenbanken, xml-auswertung der preferences. limitierungen: keine system-apps, verschlüsselte bereiche unzugänglich, neuere android-versionen (12+) stark eingeschränkt. spezial-techniken: downgrade-attacks, sideloading forensischer apps, screen-recording für ui-basierte extraktion. der sweet-spot: android 4-8 geräte mit schwachen sicherheitsmechanismen. dokumentation der berechtigungen und nutzer-autorisierung für gerichtsverwertbarkeit essentiell. cli logical-copy mobile-app-data triage adb-based legacy-devices content-providers backup-extraction permission-based court-considerations mobile-forensics static-investigations data-collection",
+      "name": "VirusTotal",
+      "content": "virustotal googles malware-intelligence-plattform aggregiert 70+ antivirus-engine-erkennungen für sofortige threat-assessment. retro-hunt findet ähnliche samples in milliarden-datenbank, graph-view visualisiert malware-familien. livehunt-service alertiert bei neuen yara-matches für proaktive threat-hunting. sandbox av-scan malware-analysis examination",
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+      "name": "Thumbcache Viewer",
+      "content": "thumbcache viewer windows speichert miniaturansichten aller betrachteten bilder in versteckten thumbcache_*.db dateien - ein goldschatz für forensiker. das tool extrahiert diese thumbnails inklusive exif-zeitstempel, selbst wenn originalbilder längst gelöscht sind. beweist unwiderlegbar, dass bilder auf dem system vorhanden waren. besonders wertvoll bei csam-ermittlungen und datendiebstahl. die verschiedenen auflösungen (32, 96, 256, 1024) zeigen detailgrade. timestamp-analyse rekonstruiert betrachtungszeitpunkte. export als einzelne bilder oder html-report. die gui macht es auch für nicht-technische ermittler zugänglich. unterstützt windows vista bis 11. der batch-mode verarbeitet mehrere thumbcache-dateien. hash-matching gegen bekannte csam-datenbanken möglich. integration mit timeline-tools über csv-export. die kostenlose lizenz demokratisiert wichtige forensik-fähigkeiten. oft der entscheidende beweis in kinderschutz-fällen. gui deleted-file-recovery metadata-parser triage system-metadata thumbnail-analysis exif-extraction csam-investigation timeline-creation batch-processing html-reporting hash-export static-investigations fraud-investigation incident-response examination analysis",
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+        "domains": [
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+          "fraud-investigation",
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+        ],
+        "phases": [
+          "examination",
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+        ],
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+          "metadata-parser",
+          "triage",
+          "system-metadata",
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+          "exif-extraction",
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+        ],
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+    },
+    {
+      "id": "tool_MSAB_XRY",
+      "type": "tool",
+      "name": "MSAB XRY",
+      "content": "msab xry die schwedische mobile-forensik-suite bietet physical und logical  extraction für ios und android mit regelmäßigen exploit-updates.  besonders stark bei chinesischen smartphones (huawei, xiaomi) und  speziellen hardware-typen. der drone-module extrahiert flugdaten von  dji und parrot. xry camera identifiziert geräte aus bildern. die  analyze-software visualisiert kommunikationsmuster und bewegungs- profile. xamn-elements für link-analyse zwischen mehreren geräten.  cloud-extraction für 30+ services. die pin-code-breaker-hardware  knackt 4-6 stellige codes. training und zertifizierung inklusive.  preislich mit cellebrite vergleichbar (15.000€+) aber mit  transparenterer verkaufspolitik. updates alle 6-8 wochen für neue  apps. eu-basierte alternative zu us-amerikanischen lösungen. gui commercial mobile-app-data physical-copy decryption court-admissible drone-forensics chinese-phones pin-cracking cloud-extraction link-analysis eu-based mobile-forensics static-investigations fraud-investigation data-collection examination analysis",
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+    {
+      "id": "tool_GRR_Rapid_Response",
+      "type": "tool",
+      "name": "GRR Rapid Response",
+      "content": "grr rapid response googles remote-live-forensik-framework wurde für die untersuchung ihrer globalen infrastruktur entwickelt. skaliert auf hunderttausende clients mit minimalem server-overhead. der python-agent sammelt artefakte, führt yara-scans durch und erstellt timeline-daten. flow-basierte architektur für asynchrone operationen. rekall-integration für remote-memory-analyse. hunt-feature für unternehmensweite ioc-suche. approval-workflows für datenschutzkonforme ermittlungen. die admin-ui visualisiert client-status und collection-progress. export zu bigquery für big-data-analysen. der output-plugin-system integriert mit siems und ticketing. besonders stark bei linux-flotten. die api ermöglicht automatisierung wiederkehrender ermittlungen. weniger features als velociraptor, dafür ausgereifter und stabiler. ideal für organisationen mit großen, homogenen infrastrukturen. web-interface remote-collection distributed api cross-platform triage flow-architecture hunt-feature approval-workflow bigquery-export yara-scanning timeline-generation incident-response static-investigations malware-analysis fraud-investigation data-collection examination",
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+      "content": "icspector microsofts open-source-framework revolutioniert industrial-control-system- forensik mit spezialisierten tools für scada/plc-untersuchungen. extrahiert metadaten aus siemens s7, rockwell, schneider electric controllern. die python-basierte architektur parst proprietäre protokolle und dateiformate. besonders wertvoll: ladder-logic-extraktion zeigt manipulierte programme, configuration-diff erkennt unauthorized changes, network-capture-analyse für ics-protokolle (modbus, dnp3, iec-104). timeline-rekonstruktion aus historian-daten. die plugin-architektur erlaubt erweiterung für neue hersteller. integration mit wireshark-dissectors. unterstützt sowohl live-systeme als auch offline-images. die dokumentation erklärt ics-besonderheiten für it-forensiker. besonders relevant nach stuxnet und zunehmenden ics-angriffen. die community wächst mit kritischer infrastruktur-bedeutung. füllt die lücke zwischen it- und ot-forensik. unverzichtbar für kraftwerke, wasserversorgung, produktionsanlagen. die zukunft der infrastruktur-forensik beginnt hier. cli system-metadata artifact-parser cross-platform scripting opensource plc-analysis scada-forensics ladder-logic protocol-parser configuration-analysis ot-security ics-forensics incident-response malware-analysis data-collection examination analysis",
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+          "data-collection",
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+          "cross-platform",
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+        "skillLevel": "advanced",
+        "type": "tool"
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+    },
+    {
+      "id": "tool_Velociraptor",
+      "type": "tool",
+      "name": "Velociraptor",
+      "content": "velociraptor die nächste evolution der endpoint-forensik skaliert digitale ermittlungen auf zahlreiche systeme. vql (velociraptor query language) ermöglicht chirurgisch präzise artefakt-sammlung ohne full-disk-images: \"select * from glob('/users/*/downloads/*.exe')\". hunt-kampagnen durchsuchen die gesamte infrastruktur parallel nach iocs. der agent läuft mit minimalem footprint und sammelt artefakte verschlüsselt. notebooks für gespeicherte queries und analysen. die timeline-funktion korreliert events über alle endpoints. offline-collector für air-gapped-systeme. server-event-monitoring für real-time-detection. automatische triage mit artifact-packs. die eingebaute quarantäne isoliert kompromittierte systeme. cloud-native-architektur mit multi-tenancy. gui und cli für verschiedene nutzergruppen. die lernkurve für vql ist steil, aber die effizienz-gewinne sind enorm. perfekt für enterprise-ir und threat-hunting. web-interface remote-collection distributed scripting cross-platform triage vql-queries hunt-campaigns real-time-monitoring offline-collector artifact-packs multi-tenancy incident-response static-investigations malware-analysis fraud-investigation network-forensics cloud-forensics data-collection examination analysis",
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+      "name": "CyberChef",
+      "content": "cyberchef das \"schweizer taschenmesser\" der daten-manipulation vereint über 400 operations für encoding, verschlüsselung, analyse und transformation. die visuelle \"rezept\"-metapher macht komplexe operationsketten intuitiv: base64 dekodieren → xor entschlüsseln → strings extrahieren → hashes berechnen. besonders wertvoll für malware-deobfuskation, ctf-challenges und forensische datenanalyse. magic-mode erkennt automatisch encodings. regex-support für pattern-extraktion. entropy-visualisierung identifiziert verschlüsselte bereiche. die offline-fähigkeit (läuft komplett im browser) macht es dsgvo-konform für sensible daten. import/export von rezepten für wiederverwendung. unterstützt dateien bis 2gb. code-beautifier für javascript, json, xml. image-forensik mit exif-extraktion. die github-version kann selbst gehostet werden. unverzichtbar für jeden digitalen ermittler. web-interface binary-decode decryption malware-unpacking string-search triage regex-operations magic-detection entropy-analysis recipe-based offline-capable data-transformation incident-response static-investigations malware-analysis network-forensics fraud-investigation examination analysis",
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+      "type": "tool",
+      "name": "Firmware Analysis Toolkit",
+      "content": "firmware analysis toolkit attifys python-framework automatisiert die komplexe firmware-emulation  für dynamic-analysis von iot-geräten. basiert auf firmadyne-research  aber erweitert um praktische exploitation-tools. automatischer workflow:  binwalk-extraction → filesystem-reconstruction → qemu-emulation →  network-service-discovery → vulnerability-scanning. besonders wertvoll:  web-interface-crawler findet admin-panels automatisch,  default-credential-testing, sql-injection-fuzzing der management- interfaces. die arm/mips-emulation ermöglicht interactive-debugging  mit gdb. network-simulation stellt internet-connectivity bereit.  metasploit-integration für automated-exploitation. vulnerability- database korreliert findings mit cves. docker-setup vereinfacht  komplexe dependencies. die academic-herkunft garantiert  research-quality aber user-experience ist basic. perfekt für  security-researcher die iot-firmware auf scale analysieren müssen.  ergänzt statische tools um dynamic-analysis-capabilities. emulation firmware ics-forensics malware-analysis analysis",
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+      "content": "sift workstation sans investigative forensic toolkit vereint über 500 open-source-tools in einer kuratierten ubuntu-distribution. rob lees vision einer kostenlosen alternative zu kommerziellen suiten wurde realität. vorinstalliert und konfiguriert: autopsy, volatility, plaso, registry-tools, timeline-analyzer. die dfir-menüstruktur gruppiert tools nach untersuchungsphasen. besonders wertvoll: vorkonfigurierte python-umgebungen, aktualisierte tool-versionen, integrierte dokumentation. remnux-integration für malware-analyse. die vm kann als appliance oder wsl2 laufen. regelmäßige updates durch sans- community. die mitgelieferten cheat-sheets beschleunigen einarbeitung. mount-image-pro automatisiert evidence-mounting. sift-cli verwaltet updates. die kostenlosen workbooks führen durch typische untersuchungen. performance optimiert für forensik-workloads. die alternative wenn budget für kommerzielle tools fehlt. gui cli cross-platform write-blocker live-acquisition signature-updates tool-collection documentation-rich training-focused vm-ready wsl2-compatible community-maintained incident-response static-investigations malware-analysis network-forensics mobile-forensics",
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         "domains": [
@@ -44253,11625 +56906,3174 @@
           "static-investigations"
         ],
         "phases": [
-          "data-collection"
-        ],
-        "tags": [
-          "cli",
-          "logical-copy",
-          "mobile-app-data",
-          "triage",
-          "adb-based",
-          "legacy-devices",
-          "content-providers",
-          "backup-extraction",
-          "permission-based",
-          "court-considerations"
-        ],
-        "skillLevel": "advanced",
-        "type": "tool"
-      }
-    },
-    {
-      "id": "tool_Impacket",
-      "type": "tool",
-      "name": "Impacket",
-      "content": "impacket die python-bibliothek ist das schweizer taschenmesser für windows- netzwerk-forensik und living-off-the-land. über 50 beispiel-scripts demonstrieren mächtige capabilities: smbexec.py für remote-execution, secretsdump.py extrahiert hashes, wmiexec.py für wmi-basierte forensik. die low-level-protokoll-implementation ermöglicht granulare kontrolle. besonders wertvoll für incident-response: remote-registry-zugriff ohne agent, kerberos-ticket-extraktion, ntlm-relay-detection. psexec.py als forensische alternative zu sysinternals. die dcsync-funktionalität hilft bei domain-kompromittierungen. smb/msrpc-parser für traffic-analyse. integration in forensik-frameworks wie volatility. die aktive secureauth- entwicklung hält mit windows-updates schritt. dokumentation erklärt windows-interna für linux-forensiker. vorsicht: viele features sind dual-use - klare policies nötig. die ethische nutzung unterscheidet forensiker von angreifern. unverzichtbar für moderne windows-forensik ohne microsoft-tools. cli remote-collection scripting scenario:persistence protocol-decode live-process-view windows-protocols credential-extraction lateral-movement registry-access wmi-forensics python-library scenario:credential_theft incident-response network-forensics malware-analysis data-collection examination",
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-        "domains": [
-          "incident-response",
-          "static-investigations"
-        ],
-        "phases": [
-          "examination"
+          "examination",
+          "analysis"
         ],
         "tags": [
           "gui",
-          "virtual-machine",
-          "ewf-support",
-          "raw-image-support",
-          "write-blocker",
-          "triage",
-          "format-conversion",
-          "vss-support",
-          "partition-selection",
-          "ram-disk",
-          "explorer-integration",
-          "free-tool"
+          "ios-backup",
+          "commercial",
+          "keychain-extraction",
+          "app-analysis",
+          "timeline-export",
+          "encrypted-backup",
+          "sqlite-recovery"
         ],
         "skillLevel": "beginner",
         "type": "tool"
       }
     },
     {
-      "id": "tool_Rapid_Incident_Response_Triage_on_macOS",
+      "id": "tool_macOS_Communication_App_Analysis",
       "type": "tool",
-      "name": "Rapid Incident Response Triage on macOS",
-      "content": "rapid incident response triage on macos spezialisierte methodik für schnelle forensische triage auf macos-systemen optimiert für enterprise-incident-response. priorisiert flüchtige artefakte und kritische indicators of compromise (iocs) für entscheidungen in unter 60 minuten. sammlung ohne full-disk-imaging: prozesslisten, netzwerk- verbindungen, launchagents/daemons, quarantine-events, tcc-datenbank. besondere macos-artefakte: unified logs, fsevents, spotlight-metadaten, xprotect-detections. tools wie aftermath oder osquery automatisieren datensammlung. die methodik adressiert macos-spezifische herausforderungen: sip, gatekeeper, code-signing-verifizierung. timeline-erstellung aus asl/uls für ereigniskorrelation. besonders wertvoll für mdm-verwaltete flotten mit hunderten macs. die dokumentation für remote-collection via ssh/ard. post-triage-entscheidung: full-forensics oder neuinstallation. anpassbar für verschiedene bedrohungsszenarien von malware bis insider-threats. triage fast-scan apfs selective-imaging macos-artifacts unified-logs launch-agents quarantine-events remote-collection mdm-compatible timeline-focused sip-aware incident-response static-investigations malware-analysis data-collection examination",
+      "name": "macOS Communication App Analysis",
+      "content": "macos communication app analysis forensische untersuchung nativer macos kommunikations-apps für nachrichtenverlauf. messages: chat.db-sqlite-datenbank (tabellen: chat, messages, handle, attachments), attachments-verzeichnis. mail: envelope index-datenbank, .emlx-dateien, accounts-sqlite. kontakte: addressbook-v22.abcddb, mailrecents-v4.abcdmr. facetime: plist-konfigurationen mit anruflisten. korrelation zwischen apps und ios-synchronisation. communication-analysis chat-db-analysis message-recovery attachment-extraction contact-analysis ios-synchronization sqlite-parsing static-investigations fraud-investigation incident-response examination analysis",
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-      "name": "macOS Spotlight Forensic Analysis",
-      "content": "macos spotlight forensic analysis tiefgehende auswertung der spotlight-indexdatenbanken (.store-dateien) für umfassende dateimetadaten und aktivitätsnachweise. extraktion von öffnungshäufigkeiten, letzten zugriffsdaten und versteckten metadaten die im normalen dateisystem nicht verfügbar sind. fundorte: /.spotlight-v100/store-v2/<uuid>/.store und ~/library/metadata/corespotlight/. analyse erfordert spezielle python-parser für proprietäres undokumentiertes format. spotlight-analysis metadata-extraction timeline-analysis file-activity indexing-forensics database-parsing python-tools static-investigations incident-response examination analysis",
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         "domains": [
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         "phases": [
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+        "domains": [
+          "mobile-forensics",
+          "malware-analysis"
+        ],
+        "phases": [
+          "examination",
+          "analysis"
+        ],
+        "tags": [
+          "ide",
+          "android",
+          "emulator",
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         "skillLevel": "intermediate",
         "type": "tool"
@@ -56939,2098 +61141,4188 @@
       }
     },
     {
-      "id": "tool_MISP",
+      "id": "tool_iOS_Backup_Forensic_Analysis",
       "type": "tool",
-      "name": "MISP",
-      "content": "misp die threat-intelligence-sharing-plattform vernetzt viele organisationen weltweit im kampf gegen cyberkriminalität. strukturiertes teilen von iocs durch standardisierte attribute: ip-adressen, domains, hashes, yara-rules, malware-samples. die galaxies und taxonomien klassifizieren bedrohungen nach att&ck, kill-chain oder eigenen schemata. föderierte architektur ermöglicht selektives sharing zwischen vertrauenswürdigen partnern. correlation-engine findet zusammenhänge zwischen scheinbar unabhängigen incidents. warninglists reduzieren false-positives durch whitelisting bekannter good-entities. zeromq-feed pusht iocs in echtzeit an firewalls und siems. die ausgereiften apis (rest, pymisp) automatisieren threat-intelligence-workflows. export in stix, openioc und dutzende andere formate. essenziell für proaktive verteidigung. web-interface ioc-matching taxonomies api threat-scoring collaboration correlation-engine galaxy-clusters warninglists zeromq-feed stix-export federation incident-response static-investigations malware-analysis network-forensics cloud-forensics fraud-investigation data-collection examination analysis",
+      "name": "iOS Backup Forensic Analysis",
+      "content": "ios backup forensic analysis extraktion und analyse von itunes/icloud-backups für ios-geräte-forensik. fundorte: windows: /users/[user]/appdata/roaming/apple computer/mobilesync/backup/, macos: ~/library/application support/mobilesync/backup/. udid-basierte ordnerstruktur (sha1 aus seriennummer/imei/mac), guid-benannte dateien enthalten ios-dateisystem-inhalte. analyse von info.plist, manifest.plist, status.plist für backup-metadaten. ios-backup-analysis udid-decoding manifest-parsing app-data-recovery backup-decryption mobile-artifacts itunes-backup mobile-forensics static-investigations examination analysis",
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         "domains": [
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-          "static-investigations",
-          "malware-analysis",
-          "network-forensics",
-          "cloud-forensics",
-          "fraud-investigation"
+          "mobile-forensics",
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         "tags": [
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-          "correlation-engine",
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+          "ios-backup-analysis",
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+          "manifest-parsing",
+          "app-data-recovery",
+          "backup-decryption",
+          "mobile-artifacts",
+          "itunes-backup"
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         "skillLevel": "intermediate",
         "type": "tool"
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     {
-      "id": "tool_Thumbcache_Viewer",
+      "id": "tool_hashcat",
       "type": "tool",
-      "name": "Thumbcache Viewer",
-      "content": "thumbcache viewer windows speichert miniaturansichten aller betrachteten bilder in versteckten thumbcache_*.db dateien - ein goldschatz für forensiker. das tool extrahiert diese thumbnails inklusive exif-zeitstempel, selbst wenn originalbilder längst gelöscht sind. beweist unwiderlegbar, dass bilder auf dem system vorhanden waren. besonders wertvoll bei csam-ermittlungen und datendiebstahl. die verschiedenen auflösungen (32, 96, 256, 1024) zeigen detailgrade. timestamp-analyse rekonstruiert betrachtungszeitpunkte. export als einzelne bilder oder html-report. die gui macht es auch für nicht-technische ermittler zugänglich. unterstützt windows vista bis 11. der batch-mode verarbeitet mehrere thumbcache-dateien. hash-matching gegen bekannte csam-datenbanken möglich. integration mit timeline-tools über csv-export. die kostenlose lizenz demokratisiert wichtige forensik-fähigkeiten. oft der entscheidende beweis in kinderschutz-fällen. gui deleted-file-recovery metadata-parser triage system-metadata thumbnail-analysis exif-extraction csam-investigation timeline-creation batch-processing html-reporting hash-export static-investigations fraud-investigation incident-response examination analysis",
+      "name": "hashcat",
+      "content": "hashcat höchstperformanter passwort-recovery-accelerator, der cpus, gpus, fpgas und sogar asics parallel nutzen kann. unterstützt über 300 hash-formate (u.a. bcrypt, ntlm, kerberos, wpa-pmkid) und besitzt flexible angriffsmodi (dictionary, mask, hybrid, rule-based). dank opencl-backend skaliert hashcat von laptop-gpu bis zu verteilten clustern – unverzichtbar für credential-audits und incident-response. password-recovery gpu-acceleration cracking scenario:credential_theft incident-response fraud-investigation analysis",
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+      "content": "linkurious intuitive graph-visualisierungs- und analyseplattform, die graphdatenbanken wie neo4j überlagert und ermittler:innen dabei unterstützt, versteckte beziehungen in betrugs-, aml- und sicherheitsfällen aufzudecken. leistungsstarke filter, geo- und zeitachsenansichten sowie automatisierungsvorlagen erleichtern das hunten komplexer netzwerke und das erstellen aussagekräftiger beweisgrafiken. graph-visualisierung link-analysis aml fraud fraud-investigation network-forensics incident-response analysis reporting",
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         "domains": [
@@ -59039,6374 +65331,2120 @@
           "incident-response"
         ],
         "phases": [
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-      "name": "X-Ways Forensics",
-      "content": "x-ways forensics das deutsche präzisionswerkzeug maximiert effizienz durch überlegene performance und durchdachte workflows. blitzschnelle searches in multi-terabyte-images durch optimierte algorithmen. simultane analyse mehrerer evidenzen spart zeit. die gallery-view mit skin-tone-detection beschleunigt csam-ermittlungen. x-tensions automatisieren wiederkehrende aufgaben. besonders stark: physical-search über sektorgrenzen hinweg, registry-report-generator, timeline mit millisekunden-präzision. der hex-editor zeigt rohdaten parallel zur interpretierten ansicht. template-support für proprietäre dateiformate. die spartanische gui schreckt einsteiger ab, aber profis schätzen die effizienz. deutlich günstiger als us-konkurrenz bei vergleichbarer funktionalität. der legendäre support durch stefan fleischmann persönlich. made in germany mit fokus auf gründlichkeit statt marketing. gui commercial keyword-search fast-scan court-admissible dongle-license hex-editor gallery-view x-tensions physical-search registry-analysis template-support static-investigations incident-response fraud-investigation examination analysis",
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-      "content": "dd das unix-urgestein 'data duplicator' ist seit 1974 der minimalistische standard für bit-genaue datenträger-kopien. keine gui, keine extras - nur pure zuverlässigkeit. die wichtigsten forensischen parameter: conv=noerror,sync für defekte sektoren, bs=4m für optimale performance, status=progress für fortschrittsanzeige. pipe zu hash-tools für simultane verifizierung: dd if=/dev/sda | tee image.raw | md5sum. die einfachheit ist die stärke: funktioniert auf jedem unix-system ohne installation. vorsicht vor klassischen fehlern: if/of-verwechslung zerstört beweise! dcfldd und dc3dd sind forensische weiterentwicklungen mit eingebauter hash-verifizierung. split-feature für fat32-limits: dd if=/dev/sda | split -b 4g. network-imaging via netcat möglich. der respekt vor dd trennt profis von amateuren - ein falscher parameter vernichtet unwiederbringlich daten. immer noch die basis vieler kommerzieller imaging-tools. cli physical-copy raw-image-support scenario:disk_imaging zero-footprint offline-mode bit-for-bit pipe-capable network-imaging unix-standard minimal-contamination performance-tuning disk-imaging bit-copy incident-response static-investigations data-collection",
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-      "name": "GRR Rapid Response",
-      "content": "grr rapid response googles remote-live-forensik-framework wurde für die untersuchung ihrer globalen infrastruktur entwickelt. skaliert auf hunderttausende clients mit minimalem server-overhead. der python-agent sammelt artefakte, führt yara-scans durch und erstellt timeline-daten. flow-basierte architektur für asynchrone operationen. rekall-integration für remote-memory-analyse. hunt-feature für unternehmensweite ioc-suche. approval-workflows für datenschutzkonforme ermittlungen. die admin-ui visualisiert client-status und collection-progress. export zu bigquery für big-data-analysen. der output-plugin-system integriert mit siems und ticketing. besonders stark bei linux-flotten. die api ermöglicht automatisierung wiederkehrender ermittlungen. weniger features als velociraptor, dafür ausgereifter und stabiler. ideal für organisationen mit großen, homogenen infrastrukturen. web-interface remote-collection distributed api cross-platform triage flow-architecture hunt-feature approval-workflow bigquery-export yara-scanning timeline-generation incident-response static-investigations malware-analysis fraud-investigation data-collection examination",
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-      "content": "strings das unterschätzte basis-tool extrahiert lesbare ascii- und unicode-strings aus binärdateien - oft der erste hinweis auf malware-funktionalität. findet urls für c2-server, hardcoded-passwords, pfadangaben, error-messages. die sysinternals-version (windows) bietet gui und erweiterte features. gnu-strings (linux) integriert perfekt in pipe-workflows. encoding-options (-e) für unicode-varianten essentiell bei modernen samples. minimum-length (-n) filtert rauschen. offset-anzeige (-o) für spätere hex-editor-analyse. besonders wertvoll: kombination mit grep für pattern-matching, sort/uniq für häufigkeitsanalyse, integration in automatisierte malware-triage. die einfachheit täuscht - erfahrene analysten extrahieren erstaunliche intelligence. perfekt für verschlüsselte/gepackte malware wenn strings im unpacking-stub verbleiben. output oft ausgangspunkt für yara-rules. das 5-minuten-tool das stunden detaillierter analyse spart. cli string-search binary-decode triage cross-platform fast-scan unicode-support pattern-extraction malware-triage c2-discovery password-finding pipe-friendly incident-response malware-analysis static-investigations examination",
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+          "incident-response"
         ],
         "phases": [
+          "data-collection",
           "examination"
         ],
         "tags": [
           "cli",
-          "string-search",
-          "binary-decode",
-          "triage",
-          "cross-platform",
-          "fast-scan",
-          "unicode-support",
-          "pattern-extraction",
-          "malware-triage",
-          "c2-discovery",
-          "password-finding",
-          "pipe-friendly"
+          "mobile",
+          "device-management",
+          "extraction"
         ],
-        "skillLevel": "novice",
+        "skillLevel": "intermediate",
         "type": "tool"
       }
     },
@@ -66457,1035 +68495,4209 @@
       }
     },
     {
-      "id": "tool_Volatility_3",
+      "id": "tool_Microsoft_Office_365",
       "type": "tool",
-      "name": "Volatility 3",
-      "content": "volatility 3 der standard für memory-forensik - komplett neu entwickelt für moderne ermittlungen. version 3 (feature-parity mai 2025) eliminiert das lästige --profile durch automatische os-erkennung. revolutionäre performance durch symbolbasierte analyse verarbeitet multi-gb-dumps in sekunden statt minuten. über 100 plugins dekodieren prozesse, dll-injections, netzwerkverbindungen, registry-hives und versteckte rootkits. native python-3-architektur mit timeline-integration und cloud-storage-support (s3, gcs). neue plugins: windows.hollowprocesses für process-ghosting, linux.ebpf für kernel-hooks, windows.shimcachemem für persistence. yara-integration und sigma-rules direkt im framework. die intuitivere api beschleunigt plugin-entwicklung drastisch. unterstützt aktuelle windows 11, linux 6.x und macos sonoma. der umstieg von v2 lohnt sich allein wegen der performance - analysen die früher stunden dauerten sind jetzt in minuten erledigt. command-line plugin-support scripting memory-timeline process-analysis network-artifacts rootkit-detection code-injection yara-integration python-api scenario:memory_dump opensource memory-analysis ram-dump incident-response static-investigations malware-analysis network-forensics examination analysis",
+      "name": "Microsoft Office 365",
+      "content": "microsoft office 365 transformiert komplexe log-dateien durch power query in aussagekräftige  visualisierungen für big-data-forensik. power pivot verarbeitet millionen  datensätze, excel-makros automatisieren routine-analysen.  kollaborations-features ermöglichen echtzeit-teamarbeit, cloud-storage  sichert große beweis-sammlungen. advanced ediscovery für compliance,  teams integriert sichere kommunikation. onenote sammelt screenshots  strukturiert, power automate verbindet forensik-tools. ki-features in  editor verbessern report-qualität. gui web-interface commercial collaboration visualization cloud-artifacts power-query ediscovery version-control team-integration mobile-apps automation-capable incident-response static-investigations malware-analysis fraud-investigation network-forensics mobile-forensics cloud-forensics ics-forensics examination analysis reporting",
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+      "type": "tool",
+      "name": "Aircrack-ng",
+      "content": "aircrack-ng die legendäre wlan-security-suite vereint seit 2006 alle tools für  802.11-penetration-testing und forensic-wlan-analysis. airodump-ng  sammelt packets und zeigt hidden-networks, aireplay-ng injiziert  deauth-frames für handshake-capture, aircrack-ng selbst bricht  wep-keys in minuten und wpa2-psks mit dictionary-attacks. besonders  wertvoll für forensik: packet-capture-analysis identifiziert  rogue-aps, client-probing-behavior enthüllt bewegungsprofile,  wps-pin-recovery bei legacy-routern. die gpu-acceleration  (via pyrit/hashcat) beschleunigt psk-cracking dramatisch.  support für moderne standards: wpa3-transition-mode, 802.11ac/ax.  scripting-interface automatisiert mass-assessments.  cross-platform-verfügbarkeit mit hardware-treiber-support.  forensic-mode bewahrt evidence-integrity. integration in  penetration-testing-frameworks. der klassiker für wlan-forensik  wenn moderne enterprise-wlans kompromittiert wurden. cli wireless packet-capture injection cracking scenario:credential_theft network-forensics incident-response data-collection analysis",
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+      "content": "parrot security os die privacy-fokussierte alternative zu kali linux mit eingebautem anonymisierungs-framework. anonsurf routet traffic durch tor für verdeckte ermittlungen. forensik-tools treffen auf pentesting-arsenal in datenschutzfreundlicher umgebung. rolling-release hält 600+ tools aktuell ohne neuinstallation. der ressourcenschonende mate-desktop läuft flüssig auf älteren laptops. besonders wertvoll: eingebaute kryptographie-tools, sichere kommunikations-apps, sandbox für malware. die forensik-edition fokussiert auf incident-response. docker-support für tool-isolation. arm-versionen für raspberry pi und mobile-forensik. die italienische entwicklung bringt europäische datenschutz-werte. mehrere desktop-umgebungen wählbar. live-boot mit persistence für feldarbeit. der apparmor-schutz härtet gegen exploits. community kleiner aber engagierter als kali. perfekt für ermittler die privatsphäre und sicherheit priorisieren. gui cli live-acquisition encrypted-traffic secure-sharing anonymous-analysis privacy-focused tor-integration rolling-release lightweight arm-support docker-ready incident-response static-investigations malware-analysis network-forensics",
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       "metadata": {
         "domains": [
@@ -67494,1060 +72706,8447 @@
           "malware-analysis",
           "network-forensics"
         ],
+        "phases": [],
+        "tags": [
+          "gui",
+          "cli",
+          "live-acquisition",
+          "encrypted-traffic",
+          "secure-sharing",
+          "anonymous-analysis",
+          "privacy-focused",
+          "tor-integration",
+          "rolling-release",
+          "lightweight",
+          "arm-support",
+          "docker-ready"
+        ],
+        "skillLevel": "intermediate",
+        "type": "tool"
+      }
+    },
+    {
+      "id": "tool_LibreOffice",
+      "type": "tool",
+      "name": "LibreOffice",
+      "content": "libreoffice verarbeitet massive csv-logs und datenbank-exporte mit pivot-tabellen  und filtern für forensische analysen. calc erstellt komplexe  timeline-analysen, writer generiert gerichtsfeste reports mit  inhaltsverzeichnis. importiert obskure dateiformate die microsoft office  ablehnt, repariert korrupte dokumente, zeigt metadaten fremder files.  draw visualisiert netzwerk-diagramme, base fungiert als sqlite-frontend.  makro-sprache automatisiert wiederkehrende analysen. kostenlos aber  professionell für weltweite forensik-dokumentation. gui reporting csv-export cross-platform macro-automation visualization document-analysis metadata-viewer portable-version format-converter pdf-creation free-alternative incident-response static-investigations malware-analysis fraud-investigation network-forensics mobile-forensics cloud-forensics ics-forensics examination analysis reporting",
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+          "network-forensics",
+          "mobile-forensics",
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+          "cross-platform",
+          "macro-automation",
+          "visualization",
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+          "metadata-viewer",
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+      "id": "tool_RegRipper",
+      "type": "tool",
+      "name": "RegRipper",
+      "content": "regripper harlan carveys registry-analyse-framework revolutioniert windows-forensik durch plugin-basierte automatisierung. über 300 plugins extrahieren spezifische artefakte aus registry-hives: usb-historie, installierte software, user-aktivitäten, malware-spuren. die perl-basierte architektur ermöglicht einfache plugin-entwicklung für neue artefakte. besonders wertvoll: timeline-plugins für zeitbasierte analyse, regripper-reports im strukturierten format, automatische korrelation zwischen hives. profile-system gruppiert plugins nach untersuchungstyp (malware, user- activity, network). die community teilt ständig neue plugins für aktuelle bedrohungen. integration mit anderen tools über csv-export. besonders stark bei apt-investigations: services-analyse, run-keys, scheduled-tasks. die plugin-dokumentation erklärt forensische relevanz jedes artefakts. version 3.0 modernisiert für aktuelle windows-versionen. der time-saver für registry-deep-dives - was manuell stunden dauert, erledigt regripper in minuten. cli registry-hives plugin-support scenario:windows-registry usb-history artifact-parser timeline-analysis malware-detection user-activity batch-processing profile-based community-plugins scenario:persistence incident-response static-investigations malware-analysis examination analysis",
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+      "id": "tool_MaxMind_GeoIP",
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-      "name": "Guymager",
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+      "name": "MaxMind GeoIP",
+      "content": "maxmind geoip die geolocation-datenbank-lösung übersetzt ip-adressen in geografische standorte für threat-intelligence und incident-attribution. geolite2 (kostenlos) bietet stadt-level-genauigkeit für die meisten ips weltweit. die kommerzielle geoip2 erhöht präzision und fügt isp/organisation-daten hinzu. besonders wertvoll: vpn/proxy-erkennung identifiziert verschleierte verbindungen, anonymous-ip-datenbank für tor/hosting-provider, accuracy- radius zeigt konfidenz. die wöchentlichen updates halten mit ip-allokationen schritt. apis für alle major-programmiersprachen ermöglichen integration in forensik-workflows. bulk-processing für log-analyse. die historischen datenbanken ermöglichen geolocation zum tatzeitpunkt. gdpr-konform durch verzicht auf tracking. der offline-modus schützt sensible ermittlungsdaten. integration in splunk, elk, und andere siems. die genauigkeit variiert nach region - europa/usa präziser als entwicklungsländer. standard für geo-attribution in der forensik. api geolocation data-enrichment cross-platform automation-ready offline-mode vpn-detection proxy-identification bulk-processing accuracy-metrics historical-data gdpr-compliant incident-response fraud-investigation network-forensics analysis",
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+        "domains": [
+          "incident-response"
+        ],
+        "phases": [
+          "examination"
+        ],
+        "tags": [
+          "endpoint",
+          "sql"
+        ],
+        "skillLevel": "intermediate",
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+      }
+    },
+    {
+      "id": "tool_md5sum___sha256sum",
+      "type": "tool",
+      "name": "md5sum / sha256sum",
+      "content": "md5sum / sha256sum klassische kommandozeilen-checksummengeneratoren aus den gnu coreutils, die schnell kryptografische prüfsummen (md5 bzw. sha-256) berechnen und verifizieren können. ideal zur integritätsprüfung von forensik-images, log-archiven und download-artefakten; auch als stream-filter einsetzbar („cat image.dd | sha256sum“). minimalistischer funktionsumfang, aber auf nahezu jeder unix-ähnlichen plattform vorinstalliert und damit überall verfügbar. cli hashing integrity incident-response static-investigations malware-analysis examination analysis",
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         "domains": [
@@ -68558,2124 +81157,10520 @@
           "data-collection"
         ],
         "tags": [
-          "gui",
+          "cli",
           "physical-copy",
-          "multithreaded",
-          "hashing",
-          "scenario:file_recovery",
           "ewf-support",
-          "performance-optimized",
-          "bad-sector-handling",
-          "hpa-dco-detection",
-          "simultaneous-output",
-          "progress-estimation",
-          "low-resource"
+          "compression",
+          "chain-of-custody",
+          "scenario:disk_imaging",
+          "error-handling",
+          "segment-files",
+          "metadata-storage",
+          "hash-verification",
+          "resume-capability",
+          "cross-tool-compatible"
         ],
-        "skillLevel": "novice",
+        "skillLevel": "intermediate",
         "type": "tool"
       }
     },
     {
-      "id": "tool_Arkime",
+      "id": "tool_macOS_Keychain_Forensic_Analysis",
       "type": "tool",
-      "name": "Arkime",
-      "content": "arkime das full-packet-capture-monster (früher moloch) speichert und indiziert große aufkommen von netzwerkverkehr für historische forensik. erfasst traffic mit 10gbit/s+ und speichert pcap mit intelligenter kompression. die elasticsearch-integration ermöglicht schnelle suchen über monate von daten: ips, ports, protokolle, http-header, ssl-zertifikate. session-page visualisiert verbindungen mit protokoll-dekodierung. spi-graph zeigt traffic-patterns. wise (with intelligence see everything) reichert daten mit threat-intel an. arkime-capture skaliert horizontal für multiple 10g-links. die viewer-permissions ermöglichen granulare zugriffskontrolle. hunt-jobs durchsuchen historische daten nach neuen iocs. api für integration mit soc-tools. die hardware-anforderungen sind massiv (tb ram, pb storage), aber für ernsthafte nsm unverzichtbar. perfekt für apt-jagd und incident-rekonstruktion. web-interface pcap-capture elasticsearch-integration historical-analysis packet-filtering distributed full-packet-capture threat-intel-enrichment horizontal-scaling api-driven hunt-jobs spi-graph incident-response static-investigations network-forensics cloud-forensics malware-analysis data-collection examination analysis",
+      "name": "macOS Keychain Forensic Analysis",
+      "content": "macos keychain forensic analysis extraktion und entschlüsselung von passwörtern aus macos keychain-dateien (~/library/keychains/*) für zugangsdaten-recovery. auf t2/m1-systemen hardware-bindung durch hek-schlüssel, entschlüsselung nur mit bekanntem benutzerpasswort möglich. neuere versionen: export-funktion deaktiviert, alternative über safari-password-manager (csv-export) oder python-chainbreaker-tools für offline-analyse. keychain-analysis password-extraction hardware-encryption credential-recovery t2-m1-limitations python-tools access-restriction static-investigations incident-response fraud-investigation examination analysis",
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         "domains": [
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+          "incident-response",
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+    {
+      "id": "tool_UnifiedLogReader",
+      "type": "tool",
+      "name": "UnifiedLogReader",
+      "content": "unifiedlogreader alpha-stadium-parser für macos-unified-logging-system analysiert strukturierte logd-datenbanken für system-event-reconstruction. extrahiert versteckte debug-messages, kernel-events und app-crashes aus tracev3-files. besonders wertvoll bei malware-persistenz-analysis und system-tampering-detection. korreliert events über process-boundaries hinweg. experimentelle software mit begrenzter stability aber einzigartige capabilities. cli log-parser unified-logs python-tool macos-artifacts system-events kernel-analysis experimental incident-response malware-analysis examination analysis",
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+        ],
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     {
-      "id": "tool_Velociraptor",
+      "id": "tool_LiME",
       "type": "tool",
-      "name": "Velociraptor",
-      "content": "velociraptor die nächste evolution der endpoint-forensik skaliert digitale ermittlungen auf zahlreiche systeme. vql (velociraptor query language) ermöglicht chirurgisch präzise artefakt-sammlung ohne full-disk-images: \"select * from glob('/users/*/downloads/*.exe')\". hunt-kampagnen durchsuchen die gesamte infrastruktur parallel nach iocs. der agent läuft mit minimalem footprint und sammelt artefakte verschlüsselt. notebooks für gespeicherte queries und analysen. die timeline-funktion korreliert events über alle endpoints. offline-collector für air-gapped-systeme. server-event-monitoring für real-time-detection. automatische triage mit artifact-packs. die eingebaute quarantäne isoliert kompromittierte systeme. cloud-native-architektur mit multi-tenancy. gui und cli für verschiedene nutzergruppen. die lernkurve für vql ist steil, aber die effizienz-gewinne sind enorm. perfekt für enterprise-ir und threat-hunting. web-interface remote-collection distributed scripting cross-platform triage vql-queries hunt-campaigns real-time-monitoring offline-collector artifact-packs multi-tenancy incident-response static-investigations malware-analysis fraud-investigation network-forensics cloud-forensics data-collection examination analysis",
+      "name": "LiME",
+      "content": "lime linux memory extractor ermöglicht forensisch saubere ram-akquisition auf  linux-systemen durch dynamisch ladbares kernel-modul. besonders wertvoll:  zero-contamination durch minimalen footprint, network-streaming überträgt  ram direkt an remote-analyst ohne lokale storage, format-options (raw,  padded, elf) für verschiedene analysis-tools. die cross-compilation  unterstützt embedded systems und iot-geräte. android-portierung ermöglicht  mobile-memory-forensics. automatische kernel-symbol-resolution für  volatility-profile-generation. die installation erfordert kernel-headers  aber der build-prozess ist gut dokumentiert. tcp-dump-integration für  simultane netzwerk-capture. besonders wichtig für container-forensik und  cloud-incidents wo traditionelle tools versagen. der standard für  linux-memory-acquisition in professionellen dfir-teams. ergänzt  windows-tools wie winpmem für heterogene umgebungen. memory acquisition scenario:memory_dump memory-analysis ram-acquisition kernel-module incident-response mobile-forensics data-collection",
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+      "content": "aleapp android logs events and protobuf parser automatisiert die extraktion forensischer artefakte aus android-geräten. parst über 200 app-datenbanken und system-logs in übersichtliche html-reports. von whatsapp-chats über google-maps-timeline bis zu gelöschten sqlite-records - aleapp findet versteckte beweise. die timeline-funktion korreliert aktivitäten über alle apps. besonders wertvoll: protobuf-dekodierung für moderne apps, analyse von well-being-daten, batteriestatistiken für aktivitätsmuster. unterstützt physische dumps, logische extractions und sogar teilbackups. die plugin-architektur erlaubt erweiterungen für neue apps. ständige updates durch die aktive community halten mit android-entwicklungen schritt. der generierte report ist gerichtsfest strukturiert mit quellenangaben zu jedem artefakt. integration mit ileapp und vleapp für cross-device-analysen. cli mobile-app-data artifact-parser timeline html-export sqlite-viewer protobuf-parser whatsapp-analysis google-artifacts battery-stats well-being-data cross-platform artifact-extraction mobile-analysis incident-response static-investigations mobile-forensics fraud-investigation examination analysis",
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+        "domains": [
+          "incident-response",
+          "static-investigations",
+          "mobile-forensics",
+          "fraud-investigation"
+        ],
+        "phases": [
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+          "mobile-app-data",
+          "artifact-parser",
+          "timeline",
+          "html-export",
+          "sqlite-viewer",
+          "protobuf-parser",
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+          "well-being-data",
+          "cross-platform",
+          "artifact-extraction",
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+    {
+      "id": "tool_macOS_Target_Disk_Mode_Acquisition",
+      "type": "tool",
+      "name": "macOS Target Disk Mode Acquisition",
+      "content": "macos target disk mode acquisition forensische datensammlung über target disk mode (tdm) durch drücken der t-taste beim boot-vorgang. das asservat verhält sich wie eine externe festplatte über firewire/thunderbolt-verbindung. vollständiges verfahren: 1) hardware-schreibblocker anschließen, 2) t-taste beim boot drücken, 3) ziel-mac per firewire/thunderbolt verbinden, 4) imaging mit dd/hdiutil durchführen. limitierungen: nur erste festplatte verfügbar, firmware-passwort blockiert tdm, benutzerpasswort für filevault-entschlüsselung erforderlich. live-acquisition target-disk-mode hardware-connection write-blocker-required firmware-limitation password-dependent scenario:disk_imaging incident-response static-investigations data-collection",
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       "metadata": {
         "domains": [
           "incident-response",
           "static-investigations",
-          "malware-analysis",
-          "fraud-investigation",
           "network-forensics",
-          "cloud-forensics"
+          "mobile-forensics"
         ],
         "phases": [
           "data-collection",
@@ -70683,20 +91678,14 @@
           "analysis"
         ],
         "tags": [
-          "web-interface",
-          "remote-collection",
-          "distributed",
-          "scripting",
-          "cross-platform",
-          "triage",
-          "vql-queries",
-          "hunt-campaigns",
-          "real-time-monitoring",
-          "offline-collector",
-          "artifact-packs",
-          "multi-tenancy"
+          "live-distro",
+          "imaging",
+          "write-blocking",
+          "gui",
+          "cli",
+          "scenario:disk_imaging"
         ],
-        "skillLevel": "advanced",
+        "skillLevel": "beginner",
         "type": "tool"
       }
     },
@@ -71768,1041 +92757,1043 @@
       }
     },
     {
-      "id": "tool_ALEAPP",
+      "id": "tool_Wireshark",
       "type": "tool",
-      "name": "ALEAPP",
-      "content": "aleapp android logs events and protobuf parser automatisiert die extraktion forensischer artefakte aus android-geräten. parst über 200 app-datenbanken und system-logs in übersichtliche html-reports. von whatsapp-chats über google-maps-timeline bis zu gelöschten sqlite-records - aleapp findet versteckte beweise. die timeline-funktion korreliert aktivitäten über alle apps. besonders wertvoll: protobuf-dekodierung für moderne apps, analyse von well-being-daten, batteriestatistiken für aktivitätsmuster. unterstützt physische dumps, logische extractions und sogar teilbackups. die plugin-architektur erlaubt erweiterungen für neue apps. ständige updates durch die aktive community halten mit android-entwicklungen schritt. der generierte report ist gerichtsfest strukturiert mit quellenangaben zu jedem artefakt. integration mit ileapp und vleapp für cross-device-analysen. cli mobile-app-data artifact-parser timeline html-export sqlite-viewer protobuf-parser whatsapp-analysis google-artifacts battery-stats well-being-data cross-platform artifact-extraction mobile-analysis incident-response static-investigations mobile-forensics fraud-investigation examination analysis",
+      "name": "Wireshark",
+      "content": "wireshark der unangefochtene könig der netzwerk-protokoll-analyse dekodiert die meisten netzwerkprotokolle von ethernet bis zu exotischen ics-protokollen. display-filter mit mächtiger syntax ermöglichen chirurgisch präzise paket-selektion. follow-stream rekonstruiert komplette tcp-sessions, http-uploads oder ftp-transfers. expert-info identifiziert anomalien wie retransmissions, malformed packets oder protokoll-violations. die statistik-funktionen visualisieren conversations, io-graphs und protocol-hierarchien. export-objekte extrahiert übertragene dateien aus http, smb oder tftp. coloring-rules heben verdächtige pakete hervor. geoip-integration zeigt geografische verbindungsdaten. tls-decryption mit private keys oder sslkeylogfile. die lua- und c-plugin-api erlaubt custom-dissectors. unverzichtbar für malware-c2-analyse, data-exfiltration-erkennung und netzwerk-troubleshooting. gui protocol-decode packet-filtering pcap-capture cross-platform session-reconstruction display-filters follow-stream expert-info statistics coloring-rules tls-decryption network-analysis packet-analysis traffic-analysis incident-response malware-analysis network-forensics cloud-forensics ics-forensics fraud-investigation examination analysis",
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         "domains": [
           "incident-response",
-          "static-investigations",
-          "mobile-forensics",
+          "malware-analysis",
+          "network-forensics",
+          "cloud-forensics",
+          "ics-forensics",
           "fraud-investigation"
         ],
         "phases": [
@@ -72810,3159 +93801,2107 @@
           "analysis"
         ],
         "tags": [
-          "cli",
-          "mobile-app-data",
-          "artifact-parser",
-          "timeline",
-          "html-export",
-          "sqlite-viewer",
-          "protobuf-parser",
-          "whatsapp-analysis",
-          "google-artifacts",
-          "battery-stats",
-          "well-being-data",
+          "gui",
+          "protocol-decode",
+          "packet-filtering",
+          "pcap-capture",
           "cross-platform",
-          "artifact-extraction",
-          "mobile-analysis"
+          "session-reconstruction",
+          "display-filters",
+          "follow-stream",
+          "expert-info",
+          "statistics",
+          "coloring-rules",
+          "tls-decryption",
+          "network-analysis",
+          "packet-analysis",
+          "traffic-analysis"
         ],
         "skillLevel": "intermediate",
         "type": "tool"
       }
     },
     {
-      "id": "tool_Cortex",
+      "id": "tool_FACT",
       "type": "tool",
-      "name": "Cortex",
-      "content": "cortex thehives analyzer-engine automatisiert observable-intelligence durch über  100 integrierte services von virustotal bis shodan. ein file-hash triggert  parallel: av-scans, sandbox-detonation, yara-matching, reputation-checks  in sekunden statt manueller stunden-arbeit. die plugin-architektur erweitert  für custom-apis und interne threat-intelligence. besonders wertvoll:  responder-actions ermöglichen automatische incident-response (block-ip,  quarantine-host), taxonomy-integration kategorisiert threats nach misp- standards, job-history dokumentiert alle analysen für audit-trails.  docker-deployment skaliert workers je nach load. rate-limiting verhindert  api-quota-erschöpfung. die restful-api integriert in soar-playbooks.  json-templates definieren analyzer-konfigurationen. community-analyzer  erweitern für spezielle use-cases. nach thehive-übernahme durch strangebee  wird cortex 3.x als open-source weiterentwickelt. standard-component  moderner soc-automatisierung. automation threat-intel incident-response malware-analysis analysis",
+      "name": "FACT",
+      "content": "fact bsi-framework automatisiert iot-firmware-bulk-analyse durch intelligente extraktion von dateisystemen, crypto-keys und backdoor-detection. vergleicht firmware-versionen, identifiziert cve-matches und erstellt vulnerability-reports für router, smart-devices und embedded-systems. firmware automation ics-forensics malware-analysis analysis",
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         "domains": [
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+          "ics-forensics",
           "malware-analysis"
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         "phases": [
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         "tags": [
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+      "id": "tool_macOS_iCloud_Artifact_Analysis",
       "type": "tool",
-      "name": "macOS Time Machine Backup Analysis",
-      "content": "macos time machine backup analysis forensische auswertung von time machine backups für historische systemzustände. bis macos 10.x: hfs+-sparse-bundle mit hardlinks, ab bigsur: apfs-snapshots. analyse-befehle: 'tmutil listbackups', 'tmutil listlocalsnapshots', 'tmutil destinationinfo'. backup-struktur: stündlich (24h), täglich (1 monat), wöchentlich (permanent). auswertung der backup_manifest.plist für snapshot-ids und timeline-rekonstruktion. time-machine-analysis backup-forensics sparse-bundle apfs-snapshots hardlink-analysis historical-recovery manifest-parsing static-investigations incident-response examination analysis",
+      "name": "macOS iCloud Artifact Analysis",
+      "content": "macos icloud artifact analysis systematische auswertung von icloud-synchronisations-artefakten im lokalen dateisystem. fundorte: ~/library/application support/icloud/accounts (icloud-id), ~/library/mobile documents/ (synchronisierte dateien), ~/library/syncedpreferences/ (app-einstellungen), ~/library/application support/clouddocs/ (client.db/server.db). extraktion der account.1-datei und .ds_store-analyse für cloud-aktivitätsnachweise ohne direkten icloud-zugriff. icloud-forensics cloud-synchronization mobile-documents token-extraction sync-analysis cloud-artifacts metadata-analysis cloud-forensics static-investigations examination analysis",
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       "metadata": {
         "domains": [
-          "incident-response",
+          "cloud-forensics",
           "static-investigations"
         ],
         "phases": [
@@ -75970,2126 +95909,6338 @@
           "analysis"
         ],
         "tags": [
-          "unified-logging",
-          "tracev3-parsing",
-          "predicate-filters",
-          "subsystem-analysis",
-          "binary-log-format",
-          "timeline-creation",
-          "system-monitoring"
+          "icloud-forensics",
+          "cloud-synchronization",
+          "mobile-documents",
+          "token-extraction",
+          "sync-analysis",
+          "cloud-artifacts",
+          "metadata-analysis"
         ],
         "skillLevel": "advanced",
         "type": "tool"
       }
     },
     {
-      "id": "tool_RegRipper",
+      "id": "tool_Magnet_AXIOM",
       "type": "tool",
-      "name": "RegRipper",
-      "content": "regripper harlan carveys registry-analyse-framework revolutioniert windows-forensik durch plugin-basierte automatisierung. über 300 plugins extrahieren spezifische artefakte aus registry-hives: usb-historie, installierte software, user-aktivitäten, malware-spuren. die perl-basierte architektur ermöglicht einfache plugin-entwicklung für neue artefakte. besonders wertvoll: timeline-plugins für zeitbasierte analyse, regripper-reports im strukturierten format, automatische korrelation zwischen hives. profile-system gruppiert plugins nach untersuchungstyp (malware, user- activity, network). die community teilt ständig neue plugins für aktuelle bedrohungen. integration mit anderen tools über csv-export. besonders stark bei apt-investigations: services-analyse, run-keys, scheduled-tasks. die plugin-dokumentation erklärt forensische relevanz jedes artefakts. version 3.0 modernisiert für aktuelle windows-versionen. der time-saver für registry-deep-dives - was manuell stunden dauert, erledigt regripper in minuten. cli registry-hives plugin-support scenario:windows-registry usb-history artifact-parser timeline-analysis malware-detection user-activity batch-processing profile-based community-plugins scenario:persistence incident-response static-investigations malware-analysis examination analysis",
+      "name": "Magnet AXIOM",
+      "content": "magnet axiom die umfassende digital-investigation-plattform kombiniert akquisition,  analyse und reporting in einer integrierten suite für end-to-end-forensik.  axiom process sammelt artefakte von über 300 datenquellen: computers,  mobile devices, cloud services, iot-geräte. die ki-gestützte artifact- categorization klassifiziert automatisch verdächtige inhalte und reduziert  manuelle review-zeit drastisch. besonders wertvoll: internet evidence  finder (ief) engine extrahiert web-artefakte aus allen major-browsern,  magnet.ai beschleunigt csam-detection, connections-view visualisiert  kommunikations-patterns zwischen personen. cloud-forensics-module greifen  auf google, microsoft, apple-accounts zu. die parallel-processing-engine  analysiert terabytes in stunden statt tagen. advanced-carving rekonstruiert  gelöschte multimedia-dateien. timeline-engine korreliert events über alle  evidenzen. report-templates generieren gerichtsfeste dokumentation.  integration mit axiom cyber für endpoint-response. eine etablierte software  für high-volume-ermittlungen mit budget für enterprise-lizenzen. gui commercial cloud-artifacts mobile-app-data automation-ready court-admissible ai-categorization ief-engine connections-view timeline-analysis csam-detection parallel-processing incident-response static-investigations mobile-forensics cloud-forensics fraud-investigation data-collection examination analysis reporting",
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+        "domains": [
           "malware-analysis"
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         "phases": [
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           "analysis"
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         "tags": [
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+      "type": "tool",
+      "name": "Loki",
+      "content": "loki florian roths portable-ioc-scanner bringt enterprise-level-threat-hunting  auf jeden windows-endpoint ohne agent-installation. die python-basierte  engine scannt file-hashes gegen nsrl-whitelist und custom-ioc-sets,  yara-rules gegen memory und dateisystem, registry-keys nach malware- persistence, running-processes nach bekannten threats. besonders wertvoll:  network-share-scanning durchsucht ganze domänen, false-positive-reduction  durch whitelist-management, detailed-logging für compliance-audits.  configuration-files steuern scan-intensität vs. performance.  integration mit misp für ioc-updates. die executable-version läuft  ohne python-installation. härtungs-checks validieren sicherheits- konfigurationen. sigma-rule-support für log-analysis. community- iocs halten threat-database aktuell. perfekt für rapid-response  wenn vollständige edr-lösungen fehlen. standard-tool in vielen  cert-incident-response-kits. der einstieg in professionelles  threat-hunting ohne budget-hürden. ioc yara incident-response examination",
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-      "content": "elliptic die kommerzielle blockchain-analytics-plattform konkurriert mit chainalysis  durch erweiterte compliance-features und regtech-integration. clustering- algorithmen identifizieren services durch transaction-pattern-analysis:  exchanges, darknet-markets, mixers, ransomware-wallets. die compliance- suite bietet real-time-screening gegen ofac/eu-sanctions-listen.  besonders stark: defi-protocol-analysis dekodiert smart-contract- interactions, cross-chain-tracking folgt funds über bridges,  investigation-tools für complex-money-laundering-schemes. api-integration  ermöglicht automated-aml-workflows. die typology-library kategorisiert  verdachtsmuster nach fatf-standards. court-ready-reports mit blockchain- evidence-chain. training-programme zertifizieren investigators.  unterstützt bitcoin, ethereum, und 15+ andere blockchains. enterprise- deployment für banken, exchanges und strafverfolgung. der europäische  fokus macht es zur alternative für eu-basierte organisationen. blockchain-analysis compliance-screening sanctions-checking defi-analysis cross-chain-tracking aml-workflows court-reporting fraud-investigation analysis",
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         "domains": [
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+      "name": "Cellebrite UFED",
+      "content": "cellebrite ufed entsperrt aktuelle iphones und android-flaggschiffe durch zero-day-exploits  und proprietäre bypass-methoden für physical extraction. logical plus  erweitert standard-backups um gelöschte daten, advanced services greifen  auf exploit-labor für resistente geräte zurück. physical analyzer  visualisiert daten mit timeline-ansicht, geo-location-maps und  social-network-graphen. project-vic integration erkennt csam, cloud- analyzer-lizenz ermöglicht zugriff auf 50+ cloud-services. gui commercial mobile-app-data decryption physical-copy dongle-license zero-day-exploits cloud-analyzer project-vic timeline-view geo-mapping advanced-services static-investigations mobile-forensics fraud-investigation data-collection examination analysis",
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+    {
+      "id": "tool_Kibana",
+      "type": "tool",
+      "name": "Kibana",
+      "content": "kibana das visualisierungs-frontend des elastic-stacks verwandelt rohe forensik-daten  in aussagekräftige dashboards und echtzeit-analysen. drag-and-drop-interface  erstellt komplexe queries ohne programmierkenntnisse. besonders wertvoll für  incident-response: timeline-visualisierungen korrelieren events über  verschiedene systeme, geo-maps zeigen angriffs-ursprünge, heat-maps  identifizieren aktivitätsmuster. die discover-funktion ermöglicht explorative  datenanalyse mit drill-down-capabilities. canvas erstellt infografiken für  management-reports. machine-learning-integration erkennt anomalien automatisch.  alerting-framework triggert bei verdächtigen mustern. dashboard-sharing für  soc-teams. der dev-tools-bereich bietet direkten elasticsearch-zugriff für  power-user. spaces isolieren verschiedene ermittlungen. die integration mit  wazuh, suricata und anderen siem-komponenten macht es zum standard-dashboard  moderner security-operations. kostenlos bis zu basic-features,  x-pack-lizenzierung für enterprise-funktionen. dashboards analytics incident-response analysis reporting",
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+        "phases": [
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+        "tags": [
+          "dashboards",
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       }
     },
     {
-      "id": "tool_macOS_Property_List_Analysis",
+      "id": "tool_Suricata",
       "type": "tool",
-      "name": "macOS Property List Analysis",
-      "content": "macos property list analysis systematische auswertung von apple property list dateien (plist) in xml- und binärformat für konfigurationsdaten und systemeinstellungen. konvertierung zwischen formaten mit plutil-tool, strukturierte analyse des binären objektaufbaus mit 8-byte-header, variabler objekttabelle, offset-tabelle und 32-byte-trailer. extraktion forensischer artefakte aus systemkonfigurationen, anwendungseinstellungen und benutzeraktivitäten. plist-analysis binary-decode configuration-parsing system-metadata artifact-extraction format-conversion xml-parsing static-investigations incident-response mobile-forensics examination analysis",
+      "name": "Suricata",
+      "content": "suricata open-source-ids/ips-engine mit multi-threading und lua-scripting für custom-detection-logic. http-keyword-matching, tls-certificate-fingerprinting und file-extraction aus netzwerk-streams. json-output integriert nahtlos in elk-stack, hardware-acceleration ermöglicht 100gbit+-performance. ids nsm network-forensics analysis",
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+      "id": "tool_ShadowExplorer",
       "type": "tool",
-      "name": "Live Memory Acquisition Procedure",
-      "content": "live memory acquisition procedure die forensisch korrekte sicherung des arbeitsspeichers laufender systeme erfordert systematisches vorgehen zur minimierung der artefakt-kontamination. kritische entscheidung: priorisierung flüchtiger beweise vs. system-stabilität. tool-auswahl nach os: winpmem (windows), lime (linux), osxpmem (macos). vorbereitung: tool auf externem medium, admin-rechte sichern, ziel-storage mit ausreichend platz. durchführung: dokumentation des system-zustands, tool-ausführung mit minimalen befehlen, hash-generierung sofort. besondere herausforderungen: kernel-schutz-mechanismen (patchguard, secure boot), anti-forensik-malware, virtualisierte umgebungen. die ersten sekunden kontaminieren unweigerlich - transparenz in der dokumentation essentiell. post-akquisition: volatility-profil erstellen, timeline der sammlung, vergleich mit disk-artefakten. der unterschied zwischen verwertbaren und wertlosen memory-dumps liegt oft in der methodik. live-acquisition scenario:memory_dump chain-of-custody standards-compliant contamination-aware tool-selection kernel-protection anti-forensics documentation-critical volatility-compatible incident-response static-investigations malware-analysis data-collection",
+      "name": "ShadowExplorer",
+      "content": "shadowexplorer das schlanke windows-tool macht volume-shadow-copy-snapshots auch in home-editionen sichtbar und erlaubt das komfortable durchstöbern sowie wiederherstellen früherer datei-versionen. damit lassen sich versehentlich gelöschte oder überschriebene dateien in sekunden zurückholen – geeignet für schnelle triage und klassische datenträgerforensik. gui shadow-copy snapshot-browsing file-recovery previous-versions scenario:file_recovery point-in-time-restore static-investigations incident-response examination analysis",
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+      "name": "Android Backup Extractor",
+      "content": "android backup extractor das bewährte kommandozeilen-werkzeug zum entpacken und packen von android-backups (.ab) aus »adb backup«\\_– inklusive entschlüsselung passwort­geschützter archive dank integrierter aes-routinen. ideal für die extraktion forensisch relevanter app-daten ohne root-zugriff und damit ein must-have für mobile-analysen. :contentreference[oaicite:0]{index=0} cli backup encryption artifact-extraction android scenario:file_recovery mobile-forensics static-investigations examination analysis",
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+        "phases": [
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       }
     },
     {
-      "id": "tool_REMnux",
+      "id": "tool_Impacket",
       "type": "tool",
-      "name": "REMnux",
-      "content": "remnux remnux ist eine auf ubuntu basierende linux-distribution, die eine kuratierte sammlung frei verfügbarer tools für malware-analyse, reverse engineering und speicherforensik in einer sofort einsatzbereiten vm vereint. sie erspart analyst:innen das mühsame zusammenstellen einzelner werkzeuge, da paketverwaltung, desktop-integration und lab-skripte bereits vorkonfiguriert sind. zu den integrierten highlights zählen unter anderem ghidra, radare2, volatility, stegdetect sowie diverse netzwerk- und sandboxing-utilities, die regelmäßig in koordinierten releases aktualisiert werden. linux-distro toolkit reverse-engineering virtualization malware-analysis incident-response network-forensics examination analysis",
+      "name": "Impacket",
+      "content": "impacket die python-bibliothek ist das schweizer taschenmesser für windows- netzwerk-forensik und living-off-the-land. über 50 beispiel-scripts demonstrieren mächtige capabilities: smbexec.py für remote-execution, secretsdump.py extrahiert hashes, wmiexec.py für wmi-basierte forensik. die low-level-protokoll-implementation ermöglicht granulare kontrolle. besonders wertvoll für incident-response: remote-registry-zugriff ohne agent, kerberos-ticket-extraktion, ntlm-relay-detection. psexec.py als forensische alternative zu sysinternals. die dcsync-funktionalität hilft bei domain-kompromittierungen. smb/msrpc-parser für traffic-analyse. integration in forensik-frameworks wie volatility. die aktive secureauth- entwicklung hält mit windows-updates schritt. dokumentation erklärt windows-interna für linux-forensiker. vorsicht: viele features sind dual-use - klare policies nötig. die ethische nutzung unterscheidet forensiker von angreifern. unverzichtbar für moderne windows-forensik ohne microsoft-tools. cli remote-collection scripting scenario:persistence protocol-decode live-process-view windows-protocols credential-extraction lateral-movement registry-access wmi-forensics python-library scenario:credential_theft incident-response network-forensics malware-analysis data-collection examination",
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-      "content": "wireshark der unangefochtene könig der netzwerk-protokoll-analyse dekodiert die meisten netzwerkprotokolle von ethernet bis zu exotischen ics-protokollen. display-filter mit mächtiger syntax ermöglichen chirurgisch präzise paket-selektion. follow-stream rekonstruiert komplette tcp-sessions, http-uploads oder ftp-transfers. expert-info identifiziert anomalien wie retransmissions, malformed packets oder protokoll-violations. die statistik-funktionen visualisieren conversations, io-graphs und protocol-hierarchien. export-objekte extrahiert übertragene dateien aus http, smb oder tftp. coloring-rules heben verdächtige pakete hervor. geoip-integration zeigt geografische verbindungsdaten. tls-decryption mit private keys oder sslkeylogfile. die lua- und c-plugin-api erlaubt custom-dissectors. unverzichtbar für malware-c2-analyse, data-exfiltration-erkennung und netzwerk-troubleshooting. gui protocol-decode packet-filtering pcap-capture cross-platform session-reconstruction display-filters follow-stream expert-info statistics coloring-rules tls-decryption network-analysis packet-analysis traffic-analysis incident-response malware-analysis network-forensics cloud-forensics ics-forensics fraud-investigation examination analysis",
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-      "content": "magnet axiom die umfassende digital-investigation-plattform kombiniert akquisition,  analyse und reporting in einer integrierten suite für end-to-end-forensik.  axiom process sammelt artefakte von über 300 datenquellen: computers,  mobile devices, cloud services, iot-geräte. die ki-gestützte artifact- categorization klassifiziert automatisch verdächtige inhalte und reduziert  manuelle review-zeit drastisch. besonders wertvoll: internet evidence  finder (ief) engine extrahiert web-artefakte aus allen major-browsern,  magnet.ai beschleunigt csam-detection, connections-view visualisiert  kommunikations-patterns zwischen personen. cloud-forensics-module greifen  auf google, microsoft, apple-accounts zu. die parallel-processing-engine  analysiert terabytes in stunden statt tagen. advanced-carving rekonstruiert  gelöschte multimedia-dateien. timeline-engine korreliert events über alle  evidenzen. report-templates generieren gerichtsfeste dokumentation.  integration mit axiom cyber für endpoint-response. eine etablierte software  für high-volume-ermittlungen mit budget für enterprise-lizenzen. gui commercial cloud-artifacts mobile-app-data automation-ready court-admissible ai-categorization ief-engine connections-view timeline-analysis csam-detection parallel-processing incident-response static-investigations mobile-forensics cloud-forensics fraud-investigation data-collection examination analysis reporting",
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         "phases": [
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+          "windows-protocols",
+          "credential-extraction",
+          "lateral-movement",
+          "registry-access",
+          "wmi-forensics",
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     {
-      "id": "tool_Ghidra",
+      "id": "tool_Dissect",
       "type": "tool",
-      "name": "Ghidra",
-      "content": "ghidra nsas reverse-engineering-suite demokratisiert binary-analyse auf ida-pro-niveau. der decompiler transformiert assembly in lesbaren c-code für intuitiveres verständnis von programm-logik. unterstützt über 30 prozessor-architekturen von x86/x64 über arm bis zu obskuren embedded-cpus. das software reverse engineering framework ermöglicht kollaborative analyse durch ghidra-server. pcode als intermediate language vereinheitlicht cross-architecture-analysen. der function-graph visualisiert control-flow. data-type-manager rekonstruiert strukturen und klassen. script-manager automatisiert mit python/java wiederkehrende analysen. version tracking vergleicht binaries über versionen. cryptographic-signature-finder identifiziert verschlüsselungs-routinen. die extension-architektur erlaubt custom-analyzers. perfekt für malware-dekonstruktion, vulnerability-research und firmware-analyse. die steile lernkurve wird durch exzellente dokumentation und nsa-trainingsmaterial gemildert. gui binary-decode malware-unpacking cross-platform scripting opensource decompiler multi-architecture collaborative function-graph pattern-matching version-tracking malware-analysis ics-forensics static-investigations analysis",
+      "name": "Dissect",
+      "content": "dissect fox-its python-framework abstrahiert windows- und linux-speicherabbilder in virtuelle objekte (prozesse, dateien, registry, kernel-strukturen), ohne zuvor ein profil definieren zu müssen. modularer hypervisor-layer erlaubt das mounten und gleichzeitige analysieren mehrerer memory-dumps – perfekt für großflächige incident-response. plugins dekodieren ptes, handle tables, apc-queues und liefern yara-kompatible scans. die zero-copy-architektur beschleunigt queries auf multi-gb-images signifikant. unterstützt windows 11 24h2-kernel sowie linux 6.x-schichten ab juli 2025. cli memory-analysis plugin-support python-library zero-copy profile-less incident-response malware-analysis static-investigations examination analysis",
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       "metadata": {
         "domains": [
+          "incident-response",
           "malware-analysis",
-          "ics-forensics",
           "static-investigations"
         ],
         "phases": [
+          "examination",
           "analysis"
         ],
         "tags": [
-          "gui",
-          "binary-decode",
-          "malware-unpacking",
-          "cross-platform",
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-          "opensource",
-          "decompiler",
-          "multi-architecture",
-          "collaborative",
-          "function-graph",
-          "pattern-matching",
-          "version-tracking"
+          "cli",
+          "memory-analysis",
+          "plugin-support",
+          "python-library",
+          "zero-copy",
+          "profile-less"
         ],
-        "skillLevel": "expert",
+        "skillLevel": "advanced",
         "type": "tool"
       }
     },
@@ -109722,1041 +110680,1040 @@
       }
     },
     {
-      "id": "tool_md5sum___sha256sum",
+      "id": "tool_grep",
       "type": "tool",
-      "name": "md5sum / sha256sum",
-      "content": "md5sum / sha256sum klassische kommandozeilen-checksummengeneratoren aus den gnu coreutils, die schnell kryptografische prüfsummen (md5 bzw. sha-256) berechnen und verifizieren können. ideal zur integritätsprüfung von forensik-images, log-archiven und download-artefakten; auch als stream-filter einsetzbar („cat image.dd | sha256sum“). minimalistischer funktionsumfang, aber auf nahezu jeder unix-ähnlichen plattform vorinstalliert und damit überall verfügbar. cli hashing integrity incident-response static-investigations malware-analysis examination analysis",
+      "name": "grep",
+      "content": "grep klassisches unix-werkzeug zur zeilenfilterung, entwickelt 1973 von ken thompson zur schnellen suche nach regulären ausdrücken in dateien oder datenströmen. der name leitet sich vom ed-kommando „g/re/p“ ab und spiegelt die funktionsweise wider: globaler ausdruck, zeile drucken. gnu grep unterstützt drei regex-dialekte (bre, ere, pcre), farb-highlighting und zero-copy-block-pufferung für höchstgeschwindigkeit auch in riesigen logs. dank seiner pipe-kompatibilität ist grep grundbaustein unzähliger dfir-einzeiler zum parsen von artefakten, netzwerk-flows und memory-dumps. cli regular-expressions piping filtering incident-response static-investigations examination analysis",
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         "domains": [
           "incident-response",
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         "phases": [
           "examination",
@@ -110764,5245 +111721,7388 @@
         ],
         "tags": [
           "cli",
-          "hashing",
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+          "regular-expressions",
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         "skillLevel": "beginner",
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+      "id": "tool_macOS_FSEvents_Analysis",
       "type": "tool",
-      "name": "ADB",
-      "content": "adb vielseitiges client server-kommandozeilenwerkzeug, mit dem fachleute über usb oder netzwerk mit android-geräten und emulatoren kommunizieren: pakete installieren, dateien extrahieren, logcats erfassen, ports weiterleiten und logische wie physische datensicherungen erstellen. unverzichtbar für mobile forensik, incident-response und app-entwicklung. cli mobile device-management extraction mobile-forensics incident-response data-collection examination",
+      "name": "macOS FSEvents Analysis",
+      "content": "macos fsevents analysis forensische auswertung von fsevents-logs für historische dateisystemänderungen seit macos 10.7. fundort: /.fseventsd/xxxxxxxxxx (gzip-komprimiert). dateiname entspricht letzter event-id + 1. dekomprimierung und parsing für chronologische rekonstruktion von datei-/ordner-operationen. besonderheit: alphabetische statt chronologische speicherung erfordert spezielle parser für zeitbasierte analyse und aktivitätsmuster-erkennung. fsevents-analysis filesystem-monitoring historical-analysis gzip-decompression timeline-reconstruction file-operations activity-tracking static-investigations incident-response examination analysis",
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       "metadata": {
         "domains": [
-          "mobile-forensics",
+          "static-investigations",
           "incident-response"
         ],
+        "phases": [
+          "examination",
+          "analysis"
+        ],
+        "tags": [
+          "fsevents-analysis",
+          "filesystem-monitoring",
+          "historical-analysis",
+          "gzip-decompression",
+          "timeline-reconstruction",
+          "file-operations",
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+      }
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+    {
+      "id": "tool_Fuji",
+      "type": "tool",
+      "name": "Fuji",
+      "content": "fuji das clevere macos-tool umgeht apples restriktive sicherheitsmechanismen für forensisch saubere datenträger-akquisition. nutzt undokumentierte apis für raw-device-zugriff ohne kernel-extensions. besonders wertvoll seit macos big sur mit verstärktem system integrity protection (sip). die target-disk-mode-alternative für moderne macs ohne firewire. unterstützt apfs-container-imaging inklusive verschlüsselter volumes (mit passwort). live-imaging von system-volumes ohne reboot möglich. die minimale footprint kontaminiert das zielsystem kaum. besonders clever: umgehung der read-only-system-volume-beschränkungen. hash-verifizierung integriert für forensische standards. die active-development durch macos-forensik- community garantiert updates für neue os-versionen. perfekt für incident response auf macs ohne teure kommerzielle tools. die kommandozeile ermöglicht scripting für massenakquisitionen. cli live-acquisition physical-copy apfs scenario:disk_imaging zero-footprint sip-bypass encrypted-volume container-imaging minimal-contamination scripting-capable macos-specific incident-response static-investigations data-collection",
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+        "domains": [
+          "incident-response",
+          "static-investigations"
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+        "phases": [
+          "data-collection"
+        ],
+        "tags": [
+          "cli",
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+    {
+      "id": "tool_Cuckoo_Sandbox_3",
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+      "name": "Cuckoo Sandbox 3",
+      "content": "cuckoo sandbox 3 die automatisierte malware-analyse-umgebung führt schadsoftware kontrolliert in isolierten vms aus und dokumentiert jede aktion. version 3 vom cert-ee modernisiert die architektur mit python 3, verbesserter evasion-resistenz und cloud-scale-fähigkeiten. behavioral analysis trackt api-calls, registry-änderungen, datei-operationen und netzwerk-kommunikation. pcap-recording für vollständige traffic-analyse. memory-dumps werden automatisch mit volatility analysiert. simulated services täuschen internet-konnektivität vor. anti-anti-vm umgeht moderne sandbox-erkennung. distributed-mode analysiert hunderte samples parallel. die reporting-engine generiert detaillierte json/html-reports mit mitre att&ck mapping. yara-integration für signatur-matching. rest-api für integration in ci/cd-pipelines. die komplexe installation erfordert virtualisierungs-expertise, belohnt aber mit industrieller malware-analyse-kapazität. web-interface sandboxing behavioral-analysis malware-unpacking virtual-analysis sandbox-reports api-monitoring network-capture memory-analysis mitre-attack distributed-analysis anti-evasion incident-response malware-analysis examination analysis",
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+    },
+    {
+      "id": "tool_iLEAPP",
+      "type": "tool",
+      "name": "iLEAPP",
+      "content": "ileapp ios logs, events, and plists parser extrahiert forensische schätze aus iphone-backups und physischen dumps. über 350 artefakt-parser dekodieren ios-geheimnisse: gelöschte imessages, safari-history, screen-time-daten, airdrop-transfers. die knowledgec-analyse rekonstruiert app-nutzungsmuster minutengenau. besonders mächtig: parsing von unified logs für system-events, health-daten-extraktion, significant-locations mit karten-visualisierung. die html-reports sind durchsuchbar und gerichtsfest aufbereitet. neue features: ios 17 support, live-photos-metadaten, apple-pay-transaktionen. die ständigen updates halten mit apples verschleierungstaktiken schritt. powerlog-parser zeigt batterie-events für aktivitätsanalyse. die modulare architektur erlaubt custom-parser für proprietäre apps. cross-referenzierung mit macos-artefakten über continuity. ein muss für jeden ios-forensiker. cli mobile-app-data artifact-parser timeline html-export deleted-file-recovery knowledgec-parser unified-logs health-data screen-time imessage-recovery ios-forensics incident-response static-investigations mobile-forensics fraud-investigation examination analysis",
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-        "domains": [
-          "incident-response",
-          "mobile-forensics"
-        ],
-        "phases": [
-          "data-collection"
-        ],
-        "tags": [
-          "memory",
-          "acquisition",
-          "scenario:memory_dump",
-          "memory-analysis",
-          "ram-acquisition",
-          "kernel-module"
+          "gui",
+          "pcap-capture",
+          "geolocation",
+          "live-acquisition",
+          "anomaly-detection",
+          "wireless-analysis",
+          "passive-monitoring",
+          "gps-mapping",
+          "multi-protocol",
+          "distributed-sensors",
+          "api-enabled",
+          "wardrive-capable"
         ],
         "skillLevel": "advanced",
         "type": "tool"
       }
     },
     {
-      "id": "tool_KAPE",
+      "id": "tool_Strings",
       "type": "tool",
-      "name": "KAPE",
-      "content": "kape kroll artifact parser and extractor versucht sich an windows-forensik durch  intelligente ziel-basierte sammlung. statt full-disk-images extrahiert kape  gezielt kritische artefakte: registry-hives, event-logs, prefetch, browser- daten, scheduled-tasks in minuten statt stunden. die target-files definieren  was gesammelt wird, module-files wie es verarbeitet wird. besonders clever:  compound-targets gruppieren zusammengehörige artefakte (z.b. \"browser\" sammelt  chrome+firefox+edge), die gkape-gui macht es auch für nicht-techniker  zugänglich. batch-mode verarbeitet mehrere images parallel. output direkt  kompatibel zu timeline-tools wie plaso.  vss-processing analysiert shadow- copies automatisch. der remote-collection-mode sammelt über netzwerk.  kostenlos (mit registrierung) aber enterprise-support verfügbar. artifact-collection triage incident-response static-investigations data-collection",
+      "name": "Strings",
+      "content": "strings das unterschätzte basis-tool extrahiert lesbare ascii- und unicode-strings aus binärdateien - oft der erste hinweis auf malware-funktionalität. findet urls für c2-server, hardcoded-passwords, pfadangaben, error-messages. die sysinternals-version (windows) bietet gui und erweiterte features. gnu-strings (linux) integriert perfekt in pipe-workflows. encoding-options (-e) für unicode-varianten essentiell bei modernen samples. minimum-length (-n) filtert rauschen. offset-anzeige (-o) für spätere hex-editor-analyse. besonders wertvoll: kombination mit grep für pattern-matching, sort/uniq für häufigkeitsanalyse, integration in automatisierte malware-triage. die einfachheit täuscht - erfahrene analysten extrahieren erstaunliche intelligence. perfekt für verschlüsselte/gepackte malware wenn strings im unpacking-stub verbleiben. output oft ausgangspunkt für yara-rules. das 5-minuten-tool das stunden detaillierter analyse spart. cli string-search binary-decode triage cross-platform fast-scan unicode-support pattern-extraction malware-triage c2-discovery password-finding pipe-friendly incident-response malware-analysis static-investigations examination",
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         "domains": [
           "incident-response",
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         "phases": [
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+          "examination"
         ],
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     {
-      "id": "tool_iPhone_Backup_Extractor",
+      "id": "tool_spotlight_parser",
       "type": "tool",
-      "name": "iPhone Backup Extractor",
-      "content": "iphone backup extractor kommerzielle ios-backup-analysis-suite extrahiert daten aus itunes/finder-backups inklusive verschlüsselter archives. dekodiert app-sandboxes, keychain-items und gelöschte sqlite-records für umfassende ios-forensik. besonders wertvoll: gui für nicht-technische ermittler, automatische app-erkennung, timeline-export. unterstützt ios 3-17 mit regelmäßigen updates. premium-features für location-data und advanced-recovery. gui ios-backup commercial keychain-extraction app-analysis timeline-export encrypted-backup sqlite-recovery mobile-forensics static-investigations examination analysis",
+      "name": "spotlight_parser",
+      "content": "spotlight_parser python-framework analysiert macos-spotlight-index für versteckte dateimetadaten und suchhistorie. extrahiert gelöschte referenzen, volltext-indizes und user-search-patterns aus .store-datenbanken. rekonstruiert file-timeline auch nach löschung, identifiziert externe volume-verbindungen. besonders wertvoll für user-activity-tracking und data-exfiltration-nachweis auf macos-systemen. cli spotlight-analysis metadata-parser deleted-file-recovery search-history python-tool macos-artifacts user-activity static-investigations incident-response examination analysis",
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       "metadata": {
         "domains": [
@@ -116014,2101 +119114,8444 @@
           "analysis"
         ],
         "tags": [
-          "dmg-mounting",
-          "write-protection",
-          "shadow-files",
-          "spotlight-indexing",
-          "image-conversion",
-          "forensic-imaging",
-          "read-only-access"
+          "cli",
+          "spotlight-analysis",
+          "metadata-parser",
+          "deleted-file-recovery",
+          "search-history",
+          "python-tool",
+          "macos-artifacts",
+          "user-activity"
         ],
         "skillLevel": "intermediate",
         "type": "tool"
       }
     },
     {
-      "id": "tool_x64dbg",
+      "id": "tool_Volatility_3",
       "type": "tool",
-      "name": "x64dbg",
-      "content": "x64dbg kostenloser windows-debugger mit moderner 64-bit-architektur und aktivem plugin-ecosystem. anti-anti-debug-plugins umgehen evasion-techniken, script-engine automatisiert repetitive tasks. memory-map-viewer, conditional-breakpoints und multi-threading-support für moderne malware-dynamic-analysis. debugger reverse-engineering malware-analysis analysis",
+      "name": "Volatility 3",
+      "content": "volatility 3 der standard für memory-forensik - komplett neu entwickelt für moderne ermittlungen. version 3 (feature-parity mai 2025) eliminiert das lästige --profile durch automatische os-erkennung. revolutionäre performance durch symbolbasierte analyse verarbeitet multi-gb-dumps in sekunden statt minuten. über 100 plugins dekodieren prozesse, dll-injections, netzwerkverbindungen, registry-hives und versteckte rootkits. native python-3-architektur mit timeline-integration und cloud-storage-support (s3, gcs). neue plugins: windows.hollowprocesses für process-ghosting, linux.ebpf für kernel-hooks, windows.shimcachemem für persistence. yara-integration und sigma-rules direkt im framework. die intuitivere api beschleunigt plugin-entwicklung drastisch. unterstützt aktuelle windows 11, linux 6.x und macos sonoma. der umstieg von v2 lohnt sich allein wegen der performance - analysen die früher stunden dauerten sind jetzt in minuten erledigt. command-line plugin-support scripting memory-timeline process-analysis network-artifacts rootkit-detection code-injection yara-integration python-api scenario:memory_dump opensource memory-analysis ram-dump incident-response static-investigations malware-analysis network-forensics examination analysis",
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     {
-      "id": "tool_CAINE",
+      "id": "tool_FRED",
       "type": "tool",
-      "name": "CAINE",
-      "content": "caine caine (computer aided investigative environment) ist eine ubuntu-basierte live-linux-distribution, die mehr als 150 forensik-werkzeuge in einer schreibgeschützten umgebung bündelt. version 14.0 »lightstream« (märz 2025) bringt kernel 6.8, uefi-support und das unblock-gui zum gezielten aufheben der write-block-funktion für einzelne devices. :contentreference[oaicite:2]{index=2} live-distro imaging write-blocking gui cli scenario:disk_imaging incident-response static-investigations network-forensics mobile-forensics data-collection examination analysis",
+      "name": "FRED",
+      "content": "fred kombiniert workstation, imager und write-blocker in einem system für  professionelle forensik-labore. ultrabay-technologie ermöglicht hot-swap  von bis zu 8 laufwerken gleichzeitig, hardware-write-blocker sichern alle  gängigen interfaces. paralleles imaging mehrerer evidenzen, hardware- beschleunigte hashing und touchscreen-konsole steuern vorgänge. field-kit- version für vor-ort-einsätze, modulare bauweise erlaubt upgrades. hoher  preis macht es zur investition für high-volume-labs. gui commercial write-blocker physical-copy scenario:disk_imaging multithreaded hardware-solution hot-swap raid-recovery parallel-imaging touch-control lab-equipment static-investigations incident-response data-collection",
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         "domains": [
           "incident-response",
           "static-investigations",
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+          "fraud-investigation",
           "network-forensics",
-          "mobile-forensics"
+          "mobile-forensics",
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+        "tags": [
+          "web-interface",
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+        "skillLevel": "novice",
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+    {
+      "id": "tool_Elasticsearch",
+      "type": "tool",
+      "name": "Elasticsearch",
+      "content": "elasticsearch die verteilte such- und analytics-engine bildet das herzstück moderner  forensik-infrastrukturen durch near-real-time-indexierung von petabytes.  lucene-basierte volltext-suche findet iocs in sekunden über millionen logs.  die json-native architektur verarbeitet strukturierte und unstrukturierte  daten gleichermäßen. besonders wertvoll: aggregations-framework erstellt  komplexe timeline-analysen, geo-queries korrelieren events geografisch,  machine-learning-features erkennen anomalien automatisch. horizontal- skalierung von single-node bis multi-datacenter-clusters. die restful-api  integriert mit allen forensik-tools. ingest-pipelines normalisieren  verschiedene log-formate. security-features (x-pack) bieten encryption und  rbac für sensitive ermittlungen. snapshot-funktionen sichern forensische  integrität. die index-lifecycle-management rotiert alte daten automatisch.  basis für elk-stack (logstash, kibana) und siem-systeme. unverzichtbar für  moderne socs und incident-response-teams. search big-data incident-response network-forensics analysis",
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+      "name": "Sonic Visualiser",
+      "content": "sonic visualiser die open-source-audio-analyse-suite wird in der forensik eingesetzt, um wave- und kompressionsformate bis auf sample-ebene zu untersuchen. spektrogramm-visualisierung, zeit-/frequenz-annotationen und transkriptions-plugins (vamp) helfen, manipulationen wie bandpass-filter, time-stretching oder insert-edits nachzuweisen. fft- und mel-spectral-views decken versteckte audio-watermarks oder steganografie auf. export-funktionen in csv/json erlauben die weiterverarbeitung in python-notebooks oder siem-pipelines. ideal für voice-authentication-checks, deep-fake-erkennung und beweisaufbereitung vor gericht. gui audio-forensics spectrogram plugin-support annotation csv-export static-investigations fraud-investigation examination analysis reporting",
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+      "content": "caploader das windows-tool revolutioniert die analyse großer pcap-sammlungen durch  intelligente indexierung und flow-rekonstruktion. lädt multi-gb-captures  in sekunden und ermöglicht blitzschnelle filterung nach protokollen,  timeframes oder keyword-patterns. besonders wertvoll: automatische  flow-reassembly rekonstruiert komplette tcp-sessions, http-objects- extraktion speichert übertragene dateien, credential-harvesting findet  klartext-passwörter in streams. die timeline-ansicht visualisiert  traffic-patterns über zeit. batch-export zu networkminer oder wireshark  für detailanalyse. performance-optimiert für forensiker die täglich  mit großen packet-captures arbeiten. integration mit netwitness und  anderen enterprise-nsm-lösungen. der workflow beschleunigt incident- response erheblich durch vorsortierung relevanter flows. pcap-analysis flow-extraction timeline-view credential-extraction file-reconstruction batch-processing network-forensics examination analysis",
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+      "metadata": {
+        "domains": [
+          "incident-response",
+          "static-investigations",
+          "malware-analysis",
+          "network-forensics",
+          "cloud-forensics",
+          "fraud-investigation"
         ],
         "phases": [
           "data-collection",
@@ -118116,14 +127559,3174 @@
           "analysis"
         ],
         "tags": [
-          "live-distro",
-          "imaging",
-          "write-blocking",
-          "gui",
-          "cli",
-          "scenario:disk_imaging"
+          "web-interface",
+          "IOC-matching",
+          "taxonomies",
+          "api",
+          "threat-scoring",
+          "collaboration",
+          "correlation-engine",
+          "galaxy-clusters",
+          "warninglists",
+          "zeromq-feed",
+          "stix-export",
+          "federation"
         ],
-        "skillLevel": "beginner",
+        "skillLevel": "intermediate",
+        "type": "tool"
+      }
+    },
+    {
+      "id": "tool_chainbreaker",
+      "type": "tool",
+      "name": "chainbreaker",
+      "content": "chainbreaker python-tool extrahiert passwörter, zertifikate und schlüssel aus macos-keychain-dateien für credential-recovery. dekryptiert sowohl login- als auch system-keychains mit user-passwort oder master-key. besonders wertvoll: wifi-passwort-extraktion, certificate-chain-analysis, secure-notes-dekodierung. batch-processing für enterprise-deployments. export in strukturierte formate für weitere analyse. standard für macos-credential-forensik. cli credential-extraction keychain-analysis password-recovery certificate-analysis python-tool macos-artifacts wifi-passwords static-investigations incident-response examination analysis",
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+        "domains": [
+          "static-investigations",
+          "incident-response"
+        ],
+        "phases": [
+          "examination",
+          "analysis"
+        ],
+        "tags": [
+          "cli",
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+      "id": "tool_macOS_Unified_Log_Analysis",
+      "type": "tool",
+      "name": "macOS Unified Log Analysis",
+      "content": "macos unified log analysis dekodierung und analyse des apple unified logging (aul) ab macos 10.12 für systemweite event-korrelation. datenquellen: /var/db/diagnostics/persist/ (tracev3-dateien), /var/db/diagnostics/special/ und /var/db/uuidtext. analyse mit 'log show', 'log collect', predicate-filter für gezielte suchen. offline-analyse erfordert übertragung der verzeichnisse auf analyse-mac oder virtualisierung des zielsystems. unified-logging tracev3-parsing predicate-filters subsystem-analysis binary-log-format timeline-creation system-monitoring incident-response static-investigations examination analysis",
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+        "tags": [
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     {
       "id": "tool_NetworkMiner",
       "type": "tool",
@@ -139173,6 +132845,5281 @@
         "type": "tool"
       }
     },
+    {
+      "id": "tool_GCHQ_Tools",
+      "type": "tool",
+      "name": "GCHQ Tools",
+      "content": "gchq tools open-source-toolsammlung der britischen gchq mit cyberchef als herzstück für datenmanipulation. dekodiert base64, xor-verschlüsselung, extrahiert strings aus binärdateien und analysiert entropie-muster. unverzichtbar für malware-deobfuskation und schnelle triage verdächtiger artefakte.    skilllevel: beginner encoding crypto parsing domain-agnostic-software analysis",
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+      "content": "plaso (log2timeline) der industrielle timeline-generator extrahiert zeitstempel aus hunderten artefakt-typen für lückenlose aktivitäts-rekonstruktion. parsers für windows event logs, registry, prefetch, browser-history, mobile apps, cloud-services und linux-logs. die storage-architektur verarbeitet massendaten effizient. output in standardisierten formaten für elasticsearch, timesketch oder csv. besonders wertvoll: normalisierung verschiedener zeitstempel-formate und zeitzonen in utc. filterung nach zeitraum, artefakt-typ oder keywords. die modulare parser-architektur erlaubt einfache erweiterung für neue formate. psort sortiert und dedupliziert events. analysis-plugins erkennen anomalien wie timestomping. docker-support vereinfacht deployment. die performance bei sehr großen datensätzen kann leiden, aber die vollständigkeit der timeline ist unübertroffen. integration mit timesketch für kollaborative analyse macht es zum forensik-kraftpaket. cli timeline log-parser cross-platform timeline-merge time-normalization artifact-parser elasticsearch-export docker-support timestomping-detection modular-parsers batch-processing timeline-analysis forensic-timeline incident-response static-investigations network-forensics cloud-forensics mobile-forensics data-collection examination",
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+          "incident-response",
+          "static-investigations",
+          "network-forensics",
+          "cloud-forensics",
+          "mobile-forensics"
+        ],
+        "phases": [
+          "data-collection",
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+          "cross-platform",
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+          "artifact-parser",
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+        "type": "tool"
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+      "type": "tool",
+      "name": "dd",
+      "content": "dd das unix-urgestein 'data duplicator' ist seit 1974 der minimalistische standard für bit-genaue datenträger-kopien. keine gui, keine extras - nur pure zuverlässigkeit. die wichtigsten forensischen parameter: conv=noerror,sync für defekte sektoren, bs=4m für optimale performance, status=progress für fortschrittsanzeige. pipe zu hash-tools für simultane verifizierung: dd if=/dev/sda | tee image.raw | md5sum. die einfachheit ist die stärke: funktioniert auf jedem unix-system ohne installation. vorsicht vor klassischen fehlern: if/of-verwechslung zerstört beweise! dcfldd und dc3dd sind forensische weiterentwicklungen mit eingebauter hash-verifizierung. split-feature für fat32-limits: dd if=/dev/sda | split -b 4g. network-imaging via netcat möglich. der respekt vor dd trennt profis von amateuren - ein falscher parameter vernichtet unwiederbringlich daten. immer noch die basis vieler kommerzieller imaging-tools. cli physical-copy raw-image-support scenario:disk_imaging zero-footprint offline-mode bit-for-bit pipe-capable network-imaging unix-standard minimal-contamination performance-tuning disk-imaging bit-copy incident-response static-investigations data-collection",
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+        ],
+        "phases": [
+          "data-collection"
+        ],
+        "tags": [
+          "cli",
+          "physical-copy",
+          "raw-image-support",
+          "scenario:disk_imaging",
+          "zero-footprint",
+          "offline-mode",
+          "bit-for-bit",
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+    {
+      "id": "tool_macOS_Spotlight_Forensic_Analysis",
+      "type": "tool",
+      "name": "macOS Spotlight Forensic Analysis",
+      "content": "macos spotlight forensic analysis tiefgehende auswertung der spotlight-indexdatenbanken (.store-dateien) für umfassende dateimetadaten und aktivitätsnachweise. extraktion von öffnungshäufigkeiten, letzten zugriffsdaten und versteckten metadaten die im normalen dateisystem nicht verfügbar sind. fundorte: /.spotlight-v100/store-v2/<uuid>/.store und ~/library/metadata/corespotlight/. analyse erfordert spezielle python-parser für proprietäres undokumentiertes format. spotlight-analysis metadata-extraction timeline-analysis file-activity indexing-forensics database-parsing python-tools static-investigations incident-response examination analysis",
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       }
     },
     {
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+      "id": "tool_Elliptic",
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-      "name": "VLEAPP",
-      "content": "vleapp vehicle logs, events, and properties parser erschließt die digitale blackbox moderner fahrzeuge. extrahiert daten aus infotainment-systemen, telematik- modulen und verbundenen smartphones. can-bus-logs enthüllen geschwindigkeit, bremsverhalten, airbag-events für unfallrekonstruktion. die gps-timeline zeigt routen mit stopps und fahrtzeiten. besonders wertvoll: bluetooth- verbindungsprotokolle identifizieren fahrer, carplay/android-auto-daten, gespeicherte wlan-hotspots. unterstützt tesla, bmw, mercedes, vw-gruppe und erweitert ständig. die kontaktlisten-extraktion findet synchronisierte telefonbücher. usb-historie zeigt angeschlossene geräte. event-data-recorder parsing für crash-forensik. die html-reports visualisieren bewegungsprofile auf karten. unersetzlich für unfälle, diebstähle und alibis. die wachsende fahrzeug-forensik-community teilt parser für neue modelle. cli artifact-parser geolocation timeline html-export system-metadata vehicle-forensics can-bus-data infotainment crash-data bluetooth-connections gps-tracking static-investigations ics-forensics fraud-investigation examination analysis",
+      "name": "Elliptic",
+      "content": "elliptic die kommerzielle blockchain-analytics-plattform konkurriert mit chainalysis  durch erweiterte compliance-features und regtech-integration. clustering- algorithmen identifizieren services durch transaction-pattern-analysis:  exchanges, darknet-markets, mixers, ransomware-wallets. die compliance- suite bietet real-time-screening gegen ofac/eu-sanctions-listen.  besonders stark: defi-protocol-analysis dekodiert smart-contract- interactions, cross-chain-tracking folgt funds über bridges,  investigation-tools für complex-money-laundering-schemes. api-integration  ermöglicht automated-aml-workflows. die typology-library kategorisiert  verdachtsmuster nach fatf-standards. court-ready-reports mit blockchain- evidence-chain. training-programme zertifizieren investigators.  unterstützt bitcoin, ethereum, und 15+ andere blockchains. enterprise- deployment für banken, exchanges und strafverfolgung. der europäische  fokus macht es zur alternative für eu-basierte organisationen. blockchain-analysis compliance-screening sanctions-checking defi-analysis cross-chain-tracking aml-workflows court-reporting fraud-investigation analysis",
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         "domains": [
-          "mobile-forensics",
+          "static-investigations",
+          "incident-response"
+        ],
+        "phases": [
+          "examination",
+          "analysis"
+        ],
+        "tags": [
+          "dmg-mounting",
+          "write-protection",
+          "shadow-files",
+          "spotlight-indexing",
+          "image-conversion",
+          "forensic-imaging",
+          "read-only-access"
+        ],
+        "skillLevel": "intermediate",
+        "type": "tool"
+      }
+    },
+    {
+      "id": "tool_YARA",
+      "type": "tool",
+      "name": "YARA",
+      "content": "yara die pattern-matching-engine ist der de-facto-standard für malware- identifikation und threat-hunting. rule-syntax ermöglicht komplexe signaturen: strings, hex-patterns, regular expressions, bedingungen. die community pflegt tausende rules für bekannte malware-familien. integration in forensik-tools macht es allgegenwärtig: volatility für memory-scans, cuckoo für behavior-matching, virustotal für sample-klassifikation. modules erweitern für pe-analyse, krypto- erkennung und macho-parsing. die condition-syntax ermöglicht komplexe logik: \"any of ($a*) and filesize < 200kb\". performance-optimierung durch aho-corasick-algorithmus. python-bindings für automatisierung. yara-editor erleichtert rule-entwicklung. die false-positive-rate erfordert sorgfältiges tuning. unverzichtbar für proaktive threat-detection und incident-response. cli yara-scan signature-analysis regex-search cross-platform memory-signatures pattern-matching rule-based module-support python-bindings community-rules performance-optimized incident-response malware-analysis examination analysis",
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+      "metadata": {
+        "domains": [
+          "incident-response",
           "malware-analysis"
         ],
         "phases": [
@@ -142333,3185 +142325,23 @@
           "analysis"
         ],
         "tags": [
-          "ide",
-          "android",
-          "emulator",
-          "debugging"
+          "cli",
+          "yara-scan",
+          "signature-analysis",
+          "regex-search",
+          "cross-platform",
+          "memory-signatures",
+          "pattern-matching",
+          "rule-based",
+          "module-support",
+          "python-bindings",
+          "community-rules",
+          "performance-optimized"
         ],
         "skillLevel": "intermediate",
         "type": "tool"
       }
     },
-    {
-      "id": "concept_Network_Protocols___Packet_Analysis",
-      "type": "concept",
-      "name": "Network Protocols & Packet Analysis",
-      "content": "network protocols & packet analysis fundamentale kenntnisse der netzwerkprotokolle von layer 2-7 für traffic-forensik und incident-response. tcp/ip-grundlagen, http/https-header-analyse, dns-tunneling-erkennung, und protokoll-anomalie-detection. session-rekonstruktion aus pcap-dateien, payload-extraktion und c2-kommunikations-patterns. verschlüsselte protokolle wie tls, ssh, vpn-traffic-charakteristika. osi-model-verständnis essentiell für netzwerk-forensik und apt-hunting. protocol-analysis packet-inspection session-reconstruction c2-analysis traffic-patterns network-baseline payload-extraction anomaly-detection incident-response network-forensics malware-analysis cloud-forensics examination analysis",
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-        "domains": [
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-      "name": "SQL",
-      "content": "sql die structured query language ist das rückgrat moderner datenanalyse in der digitalen forensik. sqlite-datenbanken dominieren mobile forensik: whatsapp-chats, browser-history, app-daten. grundlegende queries (select, join, where) bis zu komplexen analysen mit window-functions und ctes. forensik-spezifische patterns: timeline-reconstruction mit order by timestamp, kommunikations-analyse mit self-joins, anomalie- erkennung mit group by/having. tools wie db browser for sqlite visualisieren strukturen. vorsicht bei wal-mode und gelöschten records. python-integration (sqlite3) für automatisierung. nosql- grundlagen werden wichtiger (mongodb in malware). die fähigkeit, aus rohdaten erkenntnisse zu extrahieren, macht sql zur kernkompetenz. unterschätzt aber unverzichtbar für moderne ermittlungen. sqlite-viewer correlation-engine mobile-app-data browser-history data-extraction timeline-queries join-operations aggregate-analysis wal-analysis python-integration incident-response static-investigations fraud-investigation mobile-forensics cloud-forensics examination analysis",
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     {
       "id": "concept_Timeline_Analysis___Event_Correlation",
       "type": "concept",
@@ -146568,6 +143398,1062 @@
         "type": "concept"
       }
     },
+    {
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+      "type": "concept",
+      "name": "File Systems & Storage Forensics",
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+        "domains": [
+          "static-investigations",
+          "incident-response",
+          "mobile-forensics",
+          "cloud-forensics"
+        ],
+        "phases": [
+          "examination",
+          "analysis"
+        ],
+        "tags": [
+          "filesystem-analysis",
+          "metadata-extraction",
+          "deleted-data-recovery",
+          "slack-space",
+          "journaling-analysis",
+          "timestamp-forensics",
+          "partition-analysis",
+          "cloud-storage"
+        ],
+        "skillLevel": "intermediate",
+        "type": "concept"
+      }
+    },
     {
       "id": "concept_Digital_Evidence_Chain_of_Custody",
       "type": "concept",
@@ -147630,2117 +145516,1057 @@
       }
     },
     {
-      "id": "concept_Regular_Expressions__Regex_",
+      "id": "concept_Memory_Forensics___Process_Analysis",
       "type": "concept",
-      "name": "Regular Expressions (Regex)",
-      "content": "regular expressions (regex) die universelle mustererkennungssprache ermöglicht komplexe textsuchen und datenextraktion in der digitalen forensik. von einfachen wildcards bis zu komplexen capture-groups: ip-adressen (\\d{1,3}\\.){3}\\d{1,3}, e-mail-adressen, kreditkarten, bitcoin-adressen. essentiell für log-analyse, yara-rules, grep-searches und data-carving. die syntax variiert zwischen tools (pcre, python, grep), aber grundkonzepte sind universal. quantifizierer (*, +, ?, {n,m}), zeichenklassen ([a-z], \\d, \\w), anchors (^, $), lookarounds für kontextuelle matches. online-tester wie regex101.com beschleunigen entwicklung. performance-fallen bei komplexen patterns beachten. integration in alle major-forensik-tools macht regex-kenntnisse unverzichtbar. der unterschied zwischen einem guten und großartigen forensiker liegt oft in der regex-beherrschung. regex-search string-search log-parser automation-ready pattern-matching data-extraction text-processing capture-groups lookarounds performance-critical incident-response static-investigations malware-analysis fraud-investigation network-forensics examination analysis",
+      "name": "Memory Forensics & Process Analysis",
+      "content": "memory forensics & process analysis volatile-memory-strukturen und process-internals für advanced-malware-detection. virtual-memory-layout, process-injection-techniken, dll-hollowing und process-ghosting-erkennung. kernel-structures-analysis, system-call-hooking und rootkit-detection-methoden. memory-dump-acquisition-strategien, address-space-reconstruction und encrypted-memory-handling.  cross-platform-memory-forensik für windows, linux, macos-systeme. live-memory-analysis vs. dead-memory-investigation-tradeoffs. memory-structures process-injection rootkit-detection kernel-analysis address-space live-analysis malware-hiding system-internals incident-response malware-analysis static-investigations examination analysis",
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       "metadata": {
         "domains": [
-          "static-investigations",
           "incident-response",
-          "mobile-forensics",
-          "cloud-forensics"
+          "malware-analysis",
+          "static-investigations"
         ],
         "phases": [
           "examination",
           "analysis"
         ],
         "tags": [
-          "filesystem-analysis",
-          "metadata-extraction",
-          "deleted-data-recovery",
-          "slack-space",
-          "journaling-analysis",
-          "timestamp-forensics",
-          "partition-analysis",
-          "cloud-storage"
+          "memory-structures",
+          "process-injection",
+          "rootkit-detection",
+          "kernel-analysis",
+          "address-space",
+          "live-analysis",
+          "malware-hiding",
+          "system-internals"
         ],
-        "skillLevel": "intermediate",
+        "skillLevel": "advanced",
         "type": "concept"
       }
     },
@@ -150802,6 +147628,3180 @@
         "skillLevel": "advanced",
         "type": "concept"
       }
+    },
+    {
+      "id": "concept_Network_Protocols___Packet_Analysis",
+      "type": "concept",
+      "name": "Network Protocols & Packet Analysis",
+      "content": "network protocols & packet analysis fundamentale kenntnisse der netzwerkprotokolle von layer 2-7 für traffic-forensik und incident-response. tcp/ip-grundlagen, http/https-header-analyse, dns-tunneling-erkennung, und protokoll-anomalie-detection. session-rekonstruktion aus pcap-dateien, payload-extraktion und c2-kommunikations-patterns. verschlüsselte protokolle wie tls, ssh, vpn-traffic-charakteristika. osi-model-verständnis essentiell für netzwerk-forensik und apt-hunting. protocol-analysis packet-inspection session-reconstruction c2-analysis traffic-patterns network-baseline payload-extraction anomaly-detection incident-response network-forensics malware-analysis cloud-forensics examination analysis",
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+      "type": "concept",
+      "name": "Regular Expressions (Regex)",
+      "content": "regular expressions (regex) die universelle mustererkennungssprache ermöglicht komplexe textsuchen und datenextraktion in der digitalen forensik. von einfachen wildcards bis zu komplexen capture-groups: ip-adressen (\\d{1,3}\\.){3}\\d{1,3}, e-mail-adressen, kreditkarten, bitcoin-adressen. essentiell für log-analyse, yara-rules, grep-searches und data-carving. die syntax variiert zwischen tools (pcre, python, grep), aber grundkonzepte sind universal. quantifizierer (*, +, ?, {n,m}), zeichenklassen ([a-z], \\d, \\w), anchors (^, $), lookarounds für kontextuelle matches. online-tester wie regex101.com beschleunigen entwicklung. performance-fallen bei komplexen patterns beachten. integration in alle major-forensik-tools macht regex-kenntnisse unverzichtbar. der unterschied zwischen einem guten und großartigen forensiker liegt oft in der regex-beherrschung. regex-search string-search log-parser automation-ready pattern-matching data-extraction text-processing capture-groups lookarounds performance-critical incident-response static-investigations malware-analysis fraud-investigation network-forensics examination analysis",
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+        "domains": [
+          "incident-response",
+          "static-investigations",
+          "malware-analysis",
+          "fraud-investigation",
+          "network-forensics"
+        ],
+        "phases": [
+          "examination",
+          "analysis"
+        ],
+        "tags": [
+          "regex-search",
+          "string-search",
+          "log-parser",
+          "automation-ready",
+          "pattern-matching",
+          "data-extraction",
+          "text-processing",
+          "capture-groups",
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+        ],
+        "skillLevel": "intermediate",
+        "type": "concept"
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+    },
+    {
+      "id": "concept_SQL",
+      "type": "concept",
+      "name": "SQL",
+      "content": "sql die structured query language ist das rückgrat moderner datenanalyse in der digitalen forensik. sqlite-datenbanken dominieren mobile forensik: whatsapp-chats, browser-history, app-daten. grundlegende queries (select, join, where) bis zu komplexen analysen mit window-functions und ctes. forensik-spezifische patterns: timeline-reconstruction mit order by timestamp, kommunikations-analyse mit self-joins, anomalie- erkennung mit group by/having. tools wie db browser for sqlite visualisieren strukturen. vorsicht bei wal-mode und gelöschten records. python-integration (sqlite3) für automatisierung. nosql- grundlagen werden wichtiger (mongodb in malware). die fähigkeit, aus rohdaten erkenntnisse zu extrahieren, macht sql zur kernkompetenz. unterschätzt aber unverzichtbar für moderne ermittlungen. sqlite-viewer correlation-engine mobile-app-data browser-history data-extraction timeline-queries join-operations aggregate-analysis wal-analysis python-integration incident-response static-investigations fraud-investigation mobile-forensics cloud-forensics examination analysis",
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+        0.035125732421875,
+        0.0010976791381835938,
+        0.00707244873046875,
+        -0.01465606689453125,
+        0.004261016845703125,
+        -0.00921630859375,
+        0.01342010498046875,
+        0.0091400146484375,
+        0.0545654296875,
+        0.008270263671875,
+        0.00936126708984375,
+        -0.06414794921875,
+        -0.01139068603515625,
+        0.00428009033203125,
+        0.035125732421875,
+        0.047607421875,
+        -0.0369873046875,
+        -0.0256805419921875,
+        -0.010009765625,
+        0.03265380859375,
+        0.06646728515625,
+        -0.0223388671875,
+        0.044403076171875,
+        0.0275726318359375,
+        -0.01116943359375,
+        0.00389862060546875,
+        -0.01544952392578125
+      ],
+      "metadata": {
+        "domains": [
+          "incident-response",
+          "static-investigations",
+          "fraud-investigation",
+          "mobile-forensics",
+          "cloud-forensics"
+        ],
+        "phases": [
+          "examination",
+          "analysis"
+        ],
+        "tags": [
+          "sqlite-viewer",
+          "correlation-engine",
+          "mobile-app-data",
+          "browser-history",
+          "data-extraction",
+          "timeline-queries",
+          "join-operations",
+          "aggregate-analysis",
+          "wal-analysis",
+          "python-integration"
+        ],
+        "skillLevel": "intermediate",
+        "type": "concept"
+      }
     }
   ]
 }
\ No newline at end of file
diff --git a/src/data/tools.yaml b/src/data/tools.yaml
index bb66480..e668eb5 100644
--- a/src/data/tools.yaml
+++ b/src/data/tools.yaml
@@ -210,7 +210,6 @@ tools:
     skillLevel: intermediate
     accessType: server-based
     url: https://dfir-iris.org/
-    projectUrl: ''
     license: LGPL-3.0
     knowledgebase: false
     tags:
@@ -261,7 +260,6 @@ tools:
       - Plaso (log2timeline)
       - Elasticsearch
       - Kibana
-    domain-agnostic-software: null
     skillLevel: intermediate
     accessType: server-based
     url: https://timesketch.org/
@@ -282,8 +280,8 @@ tools:
       - heatmaps
       - anomaly-detection
       - narrative-documentation
-      - timeline-analysis    
-      - collaborative-analysis 
+      - timeline-analysis
+      - collaborative-analysis
     related_concepts:
       - Regular Expressions (Regex)
   - name: Wireshark
@@ -321,11 +319,9 @@ tools:
       - NetworkMiner
       - tcpdump
       - Arkime
-    domain-agnostic-software: null
     skillLevel: intermediate
     accessType: download
     url: https://www.wireshark.org/
-    projectUrl: ''
     license: GPL-2.0
     knowledgebase: false
     tags:
@@ -341,9 +337,9 @@ tools:
       - statistics
       - coloring-rules
       - tls-decryption
-      - network-analysis   
-      - packet-analysis    
-      - traffic-analysis   
+      - network-analysis
+      - packet-analysis
+      - traffic-analysis
     related_concepts:
       - Regular Expressions (Regex)
   - name: Magnet AXIOM
@@ -382,11 +378,9 @@ tools:
     related_software:
       - GrayKey
       - Cellebrite UFED
-    domain-agnostic-software: null
     skillLevel: beginner
     accessType: commercial
     url: https://www.magnetforensics.com/products/magnet-axiom/
-    projectUrl: ''
     license: Proprietary
     knowledgebase: false
     tags:
@@ -409,13 +403,14 @@ tools:
     icon: 📱
     type: software
     description: >-
-      Entsperrt aktuelle iPhones und Android-Flaggschiffe durch Zero-Day-Exploits 
-      und proprietäre Bypass-Methoden für Physical Extraction. Logical Plus 
-      erweitert Standard-Backups um gelöschte Daten, Advanced Services greifen 
-      auf Exploit-Labor für resistente Geräte zurück. Physical Analyzer 
-      visualisiert Daten mit Timeline-Ansicht, Geo-Location-Maps und 
-      Social-Network-Graphen. Project-VIC Integration erkennt CSAM, Cloud-
-      Analyzer-Lizenz ermöglicht Zugriff auf 50+ Cloud-Services.
+      Entsperrt aktuelle iPhones und Android-Flaggschiffe durch
+      Zero-Day-Exploits  und proprietäre Bypass-Methoden für Physical
+      Extraction. Logical Plus  erweitert Standard-Backups um gelöschte Daten,
+      Advanced Services greifen  auf Exploit-Labor für resistente Geräte zurück.
+      Physical Analyzer  visualisiert Daten mit Timeline-Ansicht,
+      Geo-Location-Maps und  Social-Network-Graphen. Project-VIC Integration
+      erkennt CSAM, Cloud- Analyzer-Lizenz ermöglicht Zugriff auf 50+
+      Cloud-Services.
     domains:
       - static-investigations
       - mobile-forensics
@@ -430,11 +425,9 @@ tools:
       - Magnet AXIOM
       - Oxygen Forensic Suite
       - MSAB XRY
-    domain-agnostic-software: null
     skillLevel: beginner
     accessType: commercial
     url: https://cellebrite.com/en/ufed/
-    projectUrl: ''
     license: Proprietary
     knowledgebase: false
     tags:
@@ -485,11 +478,9 @@ tools:
       - Volatility 3
       - MISP
       - VirusTotal
-    domain-agnostic-software: null
     skillLevel: advanced
     accessType: server-based
     url: https://github.com/cert-ee/cuckoo3
-    projectUrl: ''
     license: GPL-3.0
     knowledgebase: false
     tags:
@@ -541,11 +532,9 @@ tools:
       - Radare2
       - x64dbg
       - Binary Ninja
-    domain-agnostic-software: null
     skillLevel: expert
     accessType: download
     url: https://ghidra-sre.org/
-    projectUrl: ''
     license: Apache-2.0
     knowledgebase: false
     tags:
@@ -598,11 +587,9 @@ tools:
       - Timesketch
       - Autopsy
       - Plaso (log2timeline)
-    domain-agnostic-software: null
     skillLevel: intermediate
     accessType: download
     url: https://plaso.readthedocs.io/
-    projectUrl: ''
     license: Apache-2.0
     knowledgebase: false
     tags:
@@ -618,8 +605,8 @@ tools:
       - timestomping-detection
       - modular-parsers
       - batch-processing
-      - timeline-analysis    
-      - forensic-timeline    
+      - timeline-analysis
+      - forensic-timeline
     related_concepts:
       - Regular Expressions (Regex)
   - name: CyberChef
@@ -652,11 +639,9 @@ tools:
       - Web
     related_software:
       - GCHQ Tools
-    domain-agnostic-software: null
     skillLevel: beginner
     accessType: server-based
     url: https://gchq.github.io/CyberChef/
-    projectUrl: ''
     license: Apache-2.0
     knowledgebase: false
     tags:
@@ -713,7 +698,6 @@ tools:
       - GRR Rapid Response
       - osquery
       - KAPE
-    domain-agnostic-software: null
     skillLevel: advanced
     accessType: server-based
     url: https://www.velociraptor.app/
@@ -769,11 +753,9 @@ tools:
       - Velociraptor
       - osquery
       - Rekall
-    domain-agnostic-software: null
     skillLevel: advanced
     accessType: server-based
     url: https://github.com/google/grr
-    projectUrl: ''
     license: Apache-2.0
     knowledgebase: false
     tags:
@@ -825,11 +807,9 @@ tools:
       - Elasticsearch
       - Suricata
       - Zeek
-    domain-agnostic-software: null
     skillLevel: expert
     accessType: server-based
     url: https://arkime.com/
-    projectUrl: ''
     license: Apache-2.0
     knowledgebase: false
     tags:
@@ -845,7 +825,6 @@ tools:
       - api-driven
       - hunt-jobs
       - spi-graph
-    related_concepts: null
   - name: NetworkMiner
     icon: ⛏️
     type: software
@@ -877,11 +856,9 @@ tools:
       - Wireshark
       - tcpdump
       - CapLoader
-    domain-agnostic-software: null
     skillLevel: beginner
     accessType: download
     url: https://www.netresec.com/?page=NetworkMiner
-    projectUrl: ''
     license: GPL-2.0 / Commercial
     knowledgebase: false
     tags:
@@ -897,10 +874,9 @@ tools:
       - artifact-extraction
       - cleartext-protocols
       - frame-reassembly
-      - network-analysis   
-      - packet-analysis    
-      - network-forensics  
-    related_concepts: null
+      - network-analysis
+      - packet-analysis
+      - network-forensics
   - name: ExifTool
     icon: 📷
     type: software
@@ -932,11 +908,9 @@ tools:
     related_software:
       - ExifTool
       - FOCA
-    domain-agnostic-software: null
     skillLevel: novice
     accessType: download
     url: https://exiftool.org/
-    projectUrl: ''
     license: Perl Artistic License
     knowledgebase: false
     tags:
@@ -952,7 +926,6 @@ tools:
       - osint-tool
       - document-forensics
       - multimedia-analysis
-    related_concepts: null
   - name: Chainalysis
     icon: ₿
     type: software
@@ -960,9 +933,9 @@ tools:
       Analysiert Blockchain-Transaktionen mit der größten Attribution-Datenbank 
       weltweit. Clustering-Algorithmen identifizieren Millionen Services: 
       Exchanges, Darknet-Märkte, Mixer, Ransomware-Wallets. Reactor 
-      visualisiert Transaktionsflüsse mit automatischer Risikobewertung, 
-      KYT ermöglicht Echtzeit-Compliance. Investigation-Workflow traced Funds 
-      durch Mixer, Court-Ready Reports dokumentieren Blockchain-Beweiskette. 
+      visualisiert Transaktionsflüsse mit automatischer Risikobewertung,  KYT
+      ermöglicht Echtzeit-Compliance. Investigation-Workflow traced Funds  durch
+      Mixer, Court-Ready Reports dokumentieren Blockchain-Beweiskette. 
       Unterstützt Bitcoin, Ethereum und 100+ Blockchains, aber hohe 
       Lizenzkosten limitieren auf Großorganisationen.
     domains:
@@ -977,11 +950,9 @@ tools:
     related_software:
       - GraphSense
       - Elliptic
-    domain-agnostic-software: null
     skillLevel: intermediate
     accessType: commercial
     url: https://www.chainalysis.com/
-    projectUrl: ''
     license: Proprietary
     knowledgebase: false
     tags:
@@ -997,7 +968,6 @@ tools:
       - risk-assessment
       - multi-blockchain
       - api-integration
-    related_concepts: null
   - name: Neo4j
     icon: 🕸️
     type: software
@@ -1033,7 +1003,6 @@ tools:
       - Maltego
       - Gephi
       - Linkurious
-    domain-agnostic-software: null
     skillLevel: intermediate
     accessType: server-based
     url: https://neo4j.com/
@@ -1083,11 +1052,9 @@ tools:
     related_software:
       - Google Earth Pro
       - ArcGIS
-    domain-agnostic-software: null
     skillLevel: intermediate
     accessType: download
     url: https://qgis.org/
-    projectUrl: ''
     license: GPL-2.0
     knowledgebase: false
     tags:
@@ -1103,7 +1070,6 @@ tools:
       - 3d-visualization
       - print-composer
       - plugin-ecosystem
-    related_concepts: null
   - name: Binwalk
     icon: 🔬
     type: software
@@ -1134,11 +1100,9 @@ tools:
       - Firmware Analysis Toolkit
       - FACT
       - Ghidra
-    domain-agnostic-software: null
     skillLevel: advanced
     accessType: download
     url: https://github.com/ReFirmLabs/binwalk
-    projectUrl: ''
     license: MIT
     knowledgebase: false
     tags:
@@ -1154,7 +1118,6 @@ tools:
       - hexdump-view
       - plugin-support
       - 3d-entropy
-    related_concepts: null
   - name: Nextcloud
     icon: ☁️
     type: software
@@ -1216,8 +1179,8 @@ tools:
       Tool-Kategorien decken alle Phasen ab: Imaging (dc3dd), Carving 
       (Foremost), Memory-Analyse (Volatility), Netzwerk (Wireshark). 
       Metapackages installieren Tool-Gruppen gezielt, ARM-Images unterstützen 
-      Raspberry Pi und Mobile-Forensik. Der Standard für Incident-Response-Teams 
-      weltweit.
+      Raspberry Pi und Mobile-Forensik. Der Standard für
+      Incident-Response-Teams  weltweit.
     domains:
       - incident-response
       - static-investigations
@@ -1253,7 +1216,6 @@ tools:
       - nethunter
       - custom-builds
       - rolling-release
-    related_concepts: null
   - name: FTK Imager
     icon: 💾
     type: software
@@ -1280,11 +1242,9 @@ tools:
     related_software:
       - EnCase
       - X-Ways Forensics
-    domain-agnostic-software: null
     skillLevel: beginner
     accessType: download
     url: https://www.exterro.com/digital-forensics-software/ftk-imager
-    projectUrl: ''
     license: Proprietary
     knowledgebase: false
     tags:
@@ -1300,9 +1260,9 @@ tools:
       - protected-folders
       - cli-available
       - triage
-      - disk-imaging       
-      - forensic-imaging   
-      - evidence-acquisition 
+      - disk-imaging
+      - forensic-imaging
+      - evidence-acquisition
     related_concepts:
       - Hash Functions & Digital Signatures
       - Digital Evidence Chain of Custody
@@ -1387,11 +1347,9 @@ tools:
       - WinHex
       - EnCase
       - FTK Imager
-    domain-agnostic-software: null
     skillLevel: expert
     accessType: commercial
     url: https://www.x-ways.net/forensics/
-    projectUrl: ''
     license: Proprietary
     knowledgebase: false
     tags:
@@ -1436,11 +1394,9 @@ tools:
       - Windows
     related_software:
       - KAPE
-    domain-agnostic-software: null
     skillLevel: intermediate
     accessType: download
     url: https://ericzimmerman.github.io/
-    projectUrl: ''
     license: MIT
     knowledgebase: false
     tags:
@@ -1458,8 +1414,8 @@ tools:
       - free-tools
       - scenario:windows-registry
       - scenario:persistence
-      - artifact-extraction  
-      - windows-forensics    
+      - artifact-extraction
+      - windows-forensics
     related_concepts:
       - Digital Evidence Chain of Custody
   - name: Regular Expressions (Regex)
@@ -1700,11 +1656,9 @@ tools:
       - Windows
     related_software:
       - FTK Imager
-    domain-agnostic-software: null
     skillLevel: beginner
     accessType: download
     url: https://www.osforensics.com/tools/mount-disk-images.html
-    projectUrl: ''
     license: Proprietary
     knowledgebase: false
     tags:
@@ -1746,18 +1700,13 @@ tools:
       - malware-analysis
     phases:
       - data-collection
-    platforms: []
     related_software:
       - WinPmem
       - LiME
       - Volatility 3
-    domain-agnostic-software: null
     skillLevel: advanced
-    accessType: null
     url: >-
       https://www.nist.gov/publications/guide-integrating-forensic-techniques-incident-response
-    projectUrl: null
-    license: null
     knowledgebase: false
     tags:
       - live-acquisition
@@ -1795,18 +1744,13 @@ tools:
       - static-investigations
     phases:
       - data-collection
-    platforms: []
     related_software:
       - Android Studio
       - ADB
       - ALEAPP
       - Android Backup Extractor
-    domain-agnostic-software: null
     skillLevel: advanced
-    accessType: null
     url: https://developer.android.com/studio/cli/adb
-    projectUrl: null
-    license: null
     knowledgebase: true
     tags:
       - cli
@@ -1855,11 +1799,9 @@ tools:
       - iLEAPP
       - VLEAPP
       - Autopsy
-    domain-agnostic-software: null
     skillLevel: intermediate
     accessType: download
     url: https://github.com/abrignoni/ALEAPP
-    projectUrl: ''
     license: MIT
     knowledgebase: false
     tags:
@@ -1875,8 +1817,8 @@ tools:
       - battery-stats
       - well-being-data
       - cross-platform
-      - artifact-extraction  
-      - mobile-analysis      
+      - artifact-extraction
+      - mobile-analysis
     related_concepts:
       - SQL
   - name: iLEAPP
@@ -1912,11 +1854,9 @@ tools:
       - ALEAPP
       - VLEAPP
       - Cellebrite UFED
-    domain-agnostic-software: null
     skillLevel: intermediate
     accessType: download
     url: https://github.com/abrignoni/iLEAPP
-    projectUrl: ''
     license: MIT
     knowledgebase: false
     tags:
@@ -1965,11 +1905,9 @@ tools:
     related_software:
       - ALEAPP
       - iLEAPP
-    domain-agnostic-software: null
     skillLevel: intermediate
     accessType: download
     url: https://github.com/abrignoni/VLEAPP
-    projectUrl: ''
     license: MIT
     knowledgebase: false
     tags:
@@ -1985,7 +1923,6 @@ tools:
       - crash-data
       - bluetooth-connections
       - gps-tracking
-    related_concepts: null
   - name: dd
     icon: 💾
     type: software
@@ -2015,11 +1952,9 @@ tools:
       - dcfldd
       - dc3dd
       - ewfacquire
-    domain-agnostic-software: null
     skillLevel: intermediate
     accessType: Linux (GNU-Utils)
     url: https://www.gnu.org/software/coreutils/dd
-    projectUrl: ''
     license: GPL-3.0
     knowledgebase: false
     tags:
@@ -2035,8 +1970,8 @@ tools:
       - unix-standard
       - minimal-contamination
       - performance-tuning
-      - disk-imaging       
-      - bit-copy          
+      - disk-imaging
+      - bit-copy
     related_concepts:
       - Digital Evidence Chain of Custody
   - name: dcfldd
@@ -2068,11 +2003,9 @@ tools:
       - dd
       - dc3dd
       - FTK Imager
-    domain-agnostic-software: null
     skillLevel: intermediate
     accessType: download
     url: https://github.com/resurrecting-open-source-projects/dcfldd
-    projectUrl: ''
     license: GPL-2.0
     knowledgebase: false
     tags:
@@ -2118,11 +2051,9 @@ tools:
       - FTK Imager
       - EnCase
       - dd
-    domain-agnostic-software: null
     skillLevel: intermediate
     accessType: download
     url: https://github.com/libyal/libewf
-    projectUrl: ''
     license: LGPL-3.0
     knowledgebase: false
     tags:
@@ -2170,11 +2101,9 @@ tools:
       - FTK Imager
       - dc3dd
       - ddrescue
-    domain-agnostic-software: null
     skillLevel: novice
     accessType: download
     url: https://guymager.sourceforge.io/
-    projectUrl: ''
     license: GPL-2.0
     knowledgebase: false
     tags:
@@ -2220,11 +2149,9 @@ tools:
     related_software:
       - dd
       - FTK Imager
-    domain-agnostic-software: null
     skillLevel: intermediate
     accessType: download
     url: https://github.com/Lazza/Fuji
-    projectUrl: ''
     license: GPL-3.0
     knowledgebase: false
     tags:
@@ -2267,19 +2194,13 @@ tools:
     phases:
       - data-collection
       - examination
-    platforms: []
     related_software:
       - Aftermath
       - osquery
       - Fuji
-    domain-agnostic-software: null
     skillLevel: intermediate
-    accessType: null
     url: >-
       https://www.sans.org/white-papers/rapid-incident-response-on-macos-actionable-insights-under-hour/
-    projectUrl: null
-    license: null
-    knowledgebase: null
     tags:
       - triage
       - fast-scan
@@ -2325,11 +2246,9 @@ tools:
     related_software:
       - osquery
       - KAPE
-    domain-agnostic-software: null
     skillLevel: intermediate
     accessType: download
     url: https://github.com/jamf/aftermath/
-    projectUrl: ''
     license: Apache-2.0
     knowledgebase: false
     tags:
@@ -2378,11 +2297,9 @@ tools:
       - Linux
     related_software:
       - Eric Zimmerman Tools
-    domain-agnostic-software: null
     skillLevel: intermediate
     accessType: download
     url: https://github.com/keydet89/RegRipper3.0
-    projectUrl: ''
     license: MIT
     knowledgebase: false
     tags:
@@ -2429,12 +2346,9 @@ tools:
       - Windows
       - Linux
       - macOS
-    related_software: null
-    domain-agnostic-software: null
     skillLevel: novice
     accessType: Linux (GNU-Utils)
     url: https://docs.microsoft.com/en-us/sysinternals/downloads/strings
-    projectUrl: ''
     license: Proprietary/GPL
     knowledgebase: false
     tags:
@@ -2480,12 +2394,9 @@ tools:
       - Windows
       - Linux
       - macOS
-    related_software: null
-    domain-agnostic-software: null
     skillLevel: beginner
     accessType: download
     url: https://www.cgsecurity.org/wiki/PhotoRec
-    projectUrl: ''
     license: GPL-2.0
     knowledgebase: false
     tags:
@@ -2530,12 +2441,9 @@ tools:
       - analysis
     platforms:
       - Windows
-    related_software: null
-    domain-agnostic-software: null
     skillLevel: beginner
     accessType: download
     url: https://thumbcacheviewer.github.io/
-    projectUrl: ''
     license: GPL-3.0
     knowledgebase: false
     tags:
@@ -2599,8 +2507,6 @@ tools:
       - accuracy-metrics
       - historical-data
       - gdpr-compliant
-    related_concepts: null
-    related_software: null
   - name: SIFT Workstation
     type: software
     description: >-
@@ -2651,7 +2557,6 @@ tools:
       - vm-ready
       - wsl2-compatible
       - community-maintained
-    related_concepts: null
   - name: Tsurugi Linux
     type: software
     description: >-
@@ -2700,7 +2605,6 @@ tools:
       - hardware-writeblock
       - performance-kernel
       - stealth-mode
-    related_concepts: null
   - name: Parrot Security OS
     type: software
     description: >-
@@ -2748,13 +2652,12 @@ tools:
       - lightweight
       - arm-support
       - docker-ready
-    related_concepts: null
   - name: LibreOffice
     icon: 📄
     type: software
     description: >-
-      Verarbeitet massive CSV-Logs und Datenbank-Exporte mit Pivot-Tabellen 
-      und Filtern für forensische Analysen. Calc erstellt komplexe 
+      Verarbeitet massive CSV-Logs und Datenbank-Exporte mit Pivot-Tabellen  und
+      Filtern für forensische Analysen. Calc erstellt komplexe 
       Timeline-Analysen, Writer generiert gerichtsfeste Reports mit 
       Inhaltsverzeichnis. Importiert obskure Dateiformate die Microsoft Office 
       ablehnt, repariert korrupte Dokumente, zeigt Metadaten fremder Files. 
@@ -2785,7 +2688,6 @@ tools:
     skillLevel: novice
     accessType: download
     url: https://www.libreoffice.org/
-    projectUrl: ''
     license: Mozilla Public License Version 2.0
     knowledgebase: false
     tags:
@@ -2801,7 +2703,6 @@ tools:
       - format-converter
       - pdf-creation
       - free-alternative
-    related_concepts: null
   - name: Microsoft Office 365
     type: software
     description: >-
@@ -2853,18 +2754,18 @@ tools:
       - team-integration
       - mobile-apps
       - automation-capable
-    related_concepts: null
   - name: EnCase
     icon: 🔍
     type: software
     description: >-
-      Sichert und analysiert Datenträger-Images durch EnScript-Programmierung für 
-      komplexe Automatisierungen. Evidence-Processor verarbeitet Batch-Analysen, 
-      integrierte Hex-Ansicht dekodiert Binärdaten, Physical-Analyzer-Modul 
-      extrahiert Smartphone-Daten. Case-Management skaliert auf Großverfahren mit 
-      gerichtsfester Dokumentation. EnCE-Zertifizierung validiert Expertise, aber 
-      hohe Kosten (20.000€+) und Dongle-Schutz limitieren Einsatzgebiete. Das 
-      etablierte Tool verliert langsam Marktanteile an modernere Alternativen.
+      Sichert und analysiert Datenträger-Images durch EnScript-Programmierung
+      für  komplexe Automatisierungen. Evidence-Processor verarbeitet
+      Batch-Analysen,  integrierte Hex-Ansicht dekodiert Binärdaten,
+      Physical-Analyzer-Modul  extrahiert Smartphone-Daten. Case-Management
+      skaliert auf Großverfahren mit  gerichtsfester Dokumentation.
+      EnCE-Zertifizierung validiert Expertise, aber  hohe Kosten (20.000€+) und
+      Dongle-Schutz limitieren Einsatzgebiete. Das  etablierte Tool verliert
+      langsam Marktanteile an modernere Alternativen.
     domains:
       - static-investigations
       - incident-response
@@ -2880,11 +2781,9 @@ tools:
       - FTK Imager
       - X-Ways Forensics
       - Autopsy
-    domain-agnostic-software: null
     skillLevel: intermediate
     accessType: commercial
     url: https://www.opentext.com/products/encase-forensic
-    projectUrl: ''
     license: Proprietary
     knowledgebase: false
     tags:
@@ -2920,12 +2819,9 @@ tools:
       - data-collection
     platforms:
       - Hardware
-    related_software: null
-    domain-agnostic-software: null
     skillLevel: intermediate
     accessType: commercial
     url: https://www.digitalintelligence.com/products/fred/
-    projectUrl: ''
     license: Proprietary
     knowledgebase: false
     tags:
@@ -2975,11 +2871,9 @@ tools:
       - Chainalysis
       - Maltego
       - Neo4j
-    domain-agnostic-software: null
     skillLevel: intermediate
     accessType: server-based
     url: https://graphsense.org/
-    projectUrl: ''
     license: MIT
     knowledgebase: false
     tags:
@@ -3025,7 +2919,6 @@ tools:
       - reporting
     platforms:
       - Web
-    related_software: null
     domain-agnostic-software:
       - collaboration-general
     skillLevel: beginner
@@ -3033,7 +2926,6 @@ tools:
     url: https://gitea.io/
     projectUrl: https://git.cc24.dev
     license: MIT
-    knowledgebase: null
     statusUrl: https://status.mikoshi.de/api/badge/18/status
     tags:
       - web-interface
@@ -3134,12 +3026,9 @@ tools:
       - Linux
       - Windows
       - macOS
-    related_software: null
-    domain-agnostic-software: null
     skillLevel: advanced
     accessType: download
     url: https://github.com/SecureAuthCorp/impacket
-    projectUrl: ''
     license: Apache-2.0
     knowledgebase: false
     tags:
@@ -3189,11 +3078,9 @@ tools:
       - Aircrack-ng
       - WiFi Pineapple
       - Wireshark
-    domain-agnostic-software: null
     skillLevel: advanced
     accessType: download
     url: https://www.kismetwireless.net/
-    projectUrl: ''
     license: GPL-2.0
     knowledgebase: false
     tags:
@@ -3209,7 +3096,6 @@ tools:
       - distributed-sensors
       - api-enabled
       - wardrive-capable
-    related_concepts: null
   - name: ArcGIS
     type: software
     description: >-
@@ -3236,7 +3122,6 @@ tools:
     tags:
       - mapping
       - visualization
-    related_concepts: null
     platforms:
       - Windows
       - macOS
@@ -3271,7 +3156,6 @@ tools:
     tags:
       - reverse-engineering
       - decompiler
-    related_concepts: null
     platforms:
       - Windows
       - macOS
@@ -3309,7 +3193,6 @@ tools:
       - credential-extraction
       - file-reconstruction
       - batch-processing
-    related_concepts: null
     platforms:
       - Windows
     accessType: commercial
@@ -3318,7 +3201,11 @@ tools:
   - name: Collabora Online
     type: software
     description: >-
-      Browserbasierte Office-Suite ermöglicht simultane Dokumentenbearbeitung für verteilte Forensik-Teams. Erstellt gerichtsfeste Reports mit Versionskontrolle, unterstützt alle Office-Formate und integriert sich in Nextcloud-Infrastrukturen für sichere Evidence-Collaboration ohne Cloud-Abhängigkeit.
+      Browserbasierte Office-Suite ermöglicht simultane Dokumentenbearbeitung
+      für verteilte Forensik-Teams. Erstellt gerichtsfeste Reports mit
+      Versionskontrolle, unterstützt alle Office-Formate und integriert sich in
+      Nextcloud-Infrastrukturen für sichere Evidence-Collaboration ohne
+      Cloud-Abhängigkeit.
     skillLevel: beginner
     url: https://www.collaboraonline.com
     icon: 📝
@@ -3339,7 +3226,11 @@ tools:
     icon: 🗂️
     type: software
     description: >-
-      Das schlanke Windows-Tool macht Volume-Shadow-Copy-Snapshots auch in Home-Editionen sichtbar und erlaubt das komfortable Durchstöbern sowie Wiederherstellen früherer Datei-Versionen. Damit lassen sich versehentlich gelöschte oder überschriebene Dateien in Sekunden zurückholen – geeignet für schnelle Triage und klassische Datenträgerforensik.
+      Das schlanke Windows-Tool macht Volume-Shadow-Copy-Snapshots auch in
+      Home-Editionen sichtbar und erlaubt das komfortable Durchstöbern sowie
+      Wiederherstellen früherer Datei-Versionen. Damit lassen sich versehentlich
+      gelöschte oder überschriebene Dateien in Sekunden zurückholen – geeignet
+      für schnelle Triage und klassische Datenträgerforensik.
     domains:
       - static-investigations
       - incident-response
@@ -3351,7 +3242,6 @@ tools:
     related_software:
       - OSFMount
       - PhotoRec
-    domain-agnostic-software: null
     skillLevel: novice
     accessType: download
     url: https://www.shadowexplorer.com/
@@ -3367,22 +3257,20 @@ tools:
       - point-in-time-restore
     related_concepts:
       - Digital Evidence Chain of Custody
-
-
   - name: Sonic Visualiser
     icon: 🎵
     type: software
     description: >-
-      Die Open-Source-Audio-Analyse-Suite wird in der Forensik eingesetzt,
-      um Wave- und Kompressionsformate bis auf Sample-Ebene zu untersuchen.
+      Die Open-Source-Audio-Analyse-Suite wird in der Forensik eingesetzt, um
+      Wave- und Kompressionsformate bis auf Sample-Ebene zu untersuchen.
       Spektrogramm-Visualisierung, Zeit-/Frequenz-Annotationen und
-      Transkriptions-Plugins (Vamp) helfen, Manipulationen wie
-      Bandpass-Filter, Time-Stretching oder Insert-Edits nachzuweisen.
-      FFT- und Mel-Spectral-Views decken versteckte Audio-Watermarks oder
-      Steganografie auf. Export-Funktionen in CSV/JSON erlauben die
-      Weiterverarbeitung in Python-Notebooks oder SIEM-Pipelines.
-      Ideal für Voice-Authentication-Checks, Deep-Fake-Erkennung
-      und Beweisaufbereitung vor Gericht.
+      Transkriptions-Plugins (Vamp) helfen, Manipulationen wie Bandpass-Filter,
+      Time-Stretching oder Insert-Edits nachzuweisen. FFT- und
+      Mel-Spectral-Views decken versteckte Audio-Watermarks oder Steganografie
+      auf. Export-Funktionen in CSV/JSON erlauben die Weiterverarbeitung in
+      Python-Notebooks oder SIEM-Pipelines. Ideal für
+      Voice-Authentication-Checks, Deep-Fake-Erkennung und Beweisaufbereitung
+      vor Gericht.
     skillLevel: intermediate
     url: https://www.sonicvisualiser.org/
     domains:
@@ -3406,22 +3294,19 @@ tools:
       - plugin-support
       - annotation
       - csv-export
-    related_concepts: []
-    related_software: []
-
   - name: Dissect
     icon: 🧩
     type: software
     description: >-
       Fox-ITs Python-Framework abstrahiert Windows- und Linux-Speicherabbilder
       in virtuelle Objekte (Prozesse, Dateien, Registry, Kernel-Strukturen),
-      ohne zuvor ein Profil definieren zu müssen. Modularer
-      Hypervisor-Layer erlaubt das Mounten und gleichzeitige Analysieren
-      mehrerer Memory-Dumps – perfekt für großflächige Incident-Response.
-      Plugins dekodieren PTEs, handle tables, APC-Queues und liefern
-      YARA-kompatible Scans. Die Zero-Copy-Architektur beschleunigt Queries auf
-      Multi-GB-Images signifikant. Unterstützt Windows 11 24H2-Kernel sowie
-      Linux 6.x-schichten ab Juli 2025.
+      ohne zuvor ein Profil definieren zu müssen. Modularer Hypervisor-Layer
+      erlaubt das Mounten und gleichzeitige Analysieren mehrerer Memory-Dumps –
+      perfekt für großflächige Incident-Response. Plugins dekodieren PTEs,
+      handle tables, APC-Queues und liefern YARA-kompatible Scans. Die
+      Zero-Copy-Architektur beschleunigt Queries auf Multi-GB-Images
+      signifikant. Unterstützt Windows 11 24H2-Kernel sowie Linux 6.x-schichten
+      ab Juli 2025.
     skillLevel: advanced
     url: https://github.com/fox-it/dissect
     domains:
@@ -3450,18 +3335,17 @@ tools:
     related_software:
       - Volatility 3
       - Rekall
-
   - name: Docker Explorer
     icon: 🐳
     type: software
     description: >-
       Googles Forensik-Toolkit zerlegt Offline-Docker-Volumes und
       Overlay-Dateisysteme ohne laufenden Daemon. Es extrahiert
-      Container-Config, Image-Layer, ENV-Variablen, Mounted-Secrets
-      und schreibt Timeline-fähige Metadata-JSONs. Unterstützt btrfs,
-      overlay2 und zfs Storage-Driver sowie Docker Desktop (macOS/Windows).
-      Perfekt, um bösartige Images nach Supply-Chain-Attacken zu enttarnen
-      oder flüchtige Container nach einem Incident nachträglich zu analysieren.
+      Container-Config, Image-Layer, ENV-Variablen, Mounted-Secrets und schreibt
+      Timeline-fähige Metadata-JSONs. Unterstützt btrfs, overlay2 und zfs
+      Storage-Driver sowie Docker Desktop (macOS/Windows). Perfekt, um bösartige
+      Images nach Supply-Chain-Attacken zu enttarnen oder flüchtige Container
+      nach einem Incident nachträglich zu analysieren.
     skillLevel: intermediate
     url: https://github.com/google/docker-explorer
     domains:
@@ -3486,22 +3370,19 @@ tools:
       - timeline
       - json-export
       - supply-chain
-    related_concepts: []
     related_software:
       - Velociraptor
       - osquery
-
   - name: Ghiro
     icon: 🖼️
     type: software
     description: >-
       Die Web-basierte Bild­forensik-Plattform automatisiert EXIF-Analyse,
-      Hash-Matching, Error-Level-Evaluation (ELA) und
-      Steganografie-Erkennung für große Dateibatches. Unterstützt
-      Gesichts- und NSFW-Detection sowie GPS-Reverse-Geocoding für
-      Bewegungsprofile. Reports sind gerichtsfest
-      versioniert, REST-API und Celery-Worker skalieren auf
-      Millionen Bilder – ideal für CSAM-Ermittlungen oder Fake-News-Prüfung.
+      Hash-Matching, Error-Level-Evaluation (ELA) und Steganografie-Erkennung
+      für große Dateibatches. Unterstützt Gesichts- und NSFW-Detection sowie
+      GPS-Reverse-Geocoding für Bewegungsprofile. Reports sind gerichtsfest
+      versioniert, REST-API und Celery-Worker skalieren auf Millionen Bilder –
+      ideal für CSAM-Ermittlungen oder Fake-News-Prüfung.
     skillLevel: intermediate
     url: https://getghiro.org/
     domains:
@@ -3530,20 +3411,18 @@ tools:
     related_software:
       - ExifTool
       - PhotoRec
-
   - name: Sherloq
     icon: 🔍
     type: software
     description: >-
-      Das Python-GUI-Toolkit für visuelle Datei-Analyse kombiniert
-      klassische Reverse-Steganografie-Techniken (LSB, Palette-Tweaking,
-      DCT-Coefficient-Scanning) mit modernen CV-Algorithmen.
-      Heatmaps und Histogramm-Diffs zeigen Manipulations-Hotspots,
-      während eine „Carve-All-Layers“-Funktion versteckte Daten in PNG,
-      JPEG, BMP, GIF und Audio-Spectra aufspürt. Plugins für zsteg,
-      binwalk und exiftool erweitern die Pipeline.
-      Eine Must-have-Ergänzung zu Ghidra & friends, wenn
-      Malware Dateien als Dead-Drop nutzt.
+      Das Python-GUI-Toolkit für visuelle Datei-Analyse kombiniert klassische
+      Reverse-Steganografie-Techniken (LSB, Palette-Tweaking,
+      DCT-Coefficient-Scanning) mit modernen CV-Algorithmen. Heatmaps und
+      Histogramm-Diffs zeigen Manipulations-Hotspots, während eine
+      „Carve-All-Layers“-Funktion versteckte Daten in PNG, JPEG, BMP, GIF und
+      Audio-Spectra aufspürt. Plugins für zsteg, binwalk und exiftool erweitern
+      die Pipeline. Eine Must-have-Ergänzung zu Ghidra & friends, wenn Malware
+      Dateien als Dead-Drop nutzt.
     skillLevel: intermediate
     url: https://github.com/GuidoBartoli/sherloq
     domains:
@@ -3571,7 +3450,6 @@ tools:
     related_software:
       - Ghiro
       - CyberChef
-
   - name: Cortex
     type: software
     description: >-
@@ -3682,7 +3560,10 @@ tools:
   - name: FACT
     type: software
     description: >-
-      BSI-Framework automatisiert IoT-Firmware-Bulk-Analyse durch intelligente Extraktion von Dateisystemen, Crypto-Keys und Backdoor-Detection. Vergleicht Firmware-Versionen, identifiziert CVE-Matches und erstellt Vulnerability-Reports für Router, Smart-Devices und Embedded-Systems.
+      BSI-Framework automatisiert IoT-Firmware-Bulk-Analyse durch intelligente
+      Extraktion von Dateisystemen, Crypto-Keys und Backdoor-Detection.
+      Vergleicht Firmware-Versionen, identifiziert CVE-Matches und erstellt
+      Vulnerability-Reports für Router, Smart-Devices und Embedded-Systems.
     skillLevel: advanced
     url: https://github.com/fkie-cad/FACT_core
     icon: 🔧
@@ -3702,7 +3583,11 @@ tools:
   - name: FOCA
     type: software
     description: >-
-      OSINT-Tool extrahiert Metadaten aus öffentlichen Dokumenten für Infrastructure-Reconnaissance. Sammelt Mitarbeiter-Namen, Software-Versionen, interne Netzwerkpfade und erstellt Angriffsvektoren aus PDF/Office-Dateien. Perfekt für Social-Engineering-Vorbereitung und Target-Profiling.
+      OSINT-Tool extrahiert Metadaten aus öffentlichen Dokumenten für
+      Infrastructure-Reconnaissance. Sammelt Mitarbeiter-Namen,
+      Software-Versionen, interne Netzwerkpfade und erstellt Angriffsvektoren
+      aus PDF/Office-Dateien. Perfekt für Social-Engineering-Vorbereitung und
+      Target-Profiling.
     skillLevel: beginner
     url: https://github.com/ElevenPaths/FOCA
     icon: 🗂️
@@ -3756,7 +3641,11 @@ tools:
   - name: GCHQ Tools
     type: software
     description: >-
-      Open-Source-Toolsammlung der britischen GCHQ mit CyberChef als Herzstück für Datenmanipulation. Dekodiert Base64, XOR-Verschlüsselung, extrahiert Strings aus Binärdateien und analysiert Entropie-Muster. Unverzichtbar für Malware-Deobfuskation und schnelle Triage verdächtiger Artefakte.    skillLevel: beginner
+      Open-Source-Toolsammlung der britischen GCHQ mit CyberChef als Herzstück
+      für Datenmanipulation. Dekodiert Base64, XOR-Verschlüsselung, extrahiert
+      Strings aus Binärdateien und analysiert Entropie-Muster. Unverzichtbar für
+      Malware-Deobfuskation und schnelle Triage verdächtiger Artefakte.   
+      skillLevel: beginner
     url: https://gchq.github.io/CyberChef
     icon: 🥄
     domains:
@@ -3776,7 +3665,11 @@ tools:
   - name: Gephi
     type: software
     description: >-
-      Graph-Analyse-Tool visualisiert komplexe Beziehungsnetzwerke durch Force-Atlas-Layouts und Community-Detection-Algorithmen. Importiert CSV-Transaktionsdaten, identifiziert Fraud-Ringe und Money-Laundering-Patterns. Besonders stark bei großen Datensätzen mit 100k+ Nodes für Financial-Crime-Investigations.
+      Graph-Analyse-Tool visualisiert komplexe Beziehungsnetzwerke durch
+      Force-Atlas-Layouts und Community-Detection-Algorithmen. Importiert
+      CSV-Transaktionsdaten, identifiziert Fraud-Ringe und
+      Money-Laundering-Patterns. Besonders stark bei großen Datensätzen mit
+      100k+ Nodes für Financial-Crime-Investigations.
     skillLevel: intermediate
     url: https://gephi.org
     icon: 🕸️
@@ -3798,7 +3691,10 @@ tools:
   - name: Google Earth Pro
     type: software
     description: >-
-      Forensische Geo-Intelligence-Plattform mit historischen Satellitenbildern ab 1984 für Timeline-Analysen. Visualisiert GPS-Tracks, misst Tatort-Distanzen präzise und erstellt 3D-Rekonstruktionen. KML-Import ermöglicht Movement-Pattern-Analysis für Alibis und Bewegungsprofile.
+      Forensische Geo-Intelligence-Plattform mit historischen Satellitenbildern
+      ab 1984 für Timeline-Analysen. Visualisiert GPS-Tracks, misst
+      Tatort-Distanzen präzise und erstellt 3D-Rekonstruktionen. KML-Import
+      ermöglicht Movement-Pattern-Analysis für Alibis und Bewegungsprofile.
     skillLevel: beginner
     url: https://www.google.com/earth/versions/#earth-pro
     icon: 🌐
@@ -3886,18 +3782,18 @@ tools:
   - name: KAPE
     type: software
     description: >-
-      Kroll Artifact Parser and Extractor versucht sich an Windows-Forensik durch 
-      intelligente Ziel-basierte Sammlung. Statt Full-Disk-Images extrahiert
-      KAPE  gezielt kritische Artefakte: Registry-Hives, Event-Logs, Prefetch,
-      Browser- Daten, Scheduled-Tasks in Minuten statt Stunden. Die Target-Files
-      definieren  was gesammelt wird, Module-Files wie es verarbeitet wird.
-      Besonders clever:  Compound-Targets gruppieren zusammengehörige Artefakte
-      (z.B. "Browser" sammelt  Chrome+Firefox+Edge), die gKAPE-GUI macht es auch
-      für Nicht-Techniker  zugänglich. Batch-Mode verarbeitet mehrere Images
-      parallel. Output direkt  kompatibel zu Timeline-Tools wie Plaso. 
-      VSS-Processing analysiert Shadow- Copies automatisch. Der
-      Remote-Collection-Mode sammelt über Netzwerk.  Kostenlos (mit Registrierung) aber
-      Enterprise-Support verfügbar.
+      Kroll Artifact Parser and Extractor versucht sich an Windows-Forensik
+      durch  intelligente Ziel-basierte Sammlung. Statt Full-Disk-Images
+      extrahiert KAPE  gezielt kritische Artefakte: Registry-Hives, Event-Logs,
+      Prefetch, Browser- Daten, Scheduled-Tasks in Minuten statt Stunden. Die
+      Target-Files definieren  was gesammelt wird, Module-Files wie es
+      verarbeitet wird. Besonders clever:  Compound-Targets gruppieren
+      zusammengehörige Artefakte (z.B. "Browser" sammelt  Chrome+Firefox+Edge),
+      die gKAPE-GUI macht es auch für Nicht-Techniker  zugänglich. Batch-Mode
+      verarbeitet mehrere Images parallel. Output direkt  kompatibel zu
+      Timeline-Tools wie Plaso.  VSS-Processing analysiert Shadow- Copies
+      automatisch. Der Remote-Collection-Mode sammelt über Netzwerk.  Kostenlos
+      (mit Registrierung) aber Enterprise-Support verfügbar.
     skillLevel: intermediate
     url: https://www.kroll.com/kape
     icon: 🧰
@@ -3978,9 +3874,9 @@ tools:
       - memory
       - acquisition
       - scenario:memory_dump
-      - memory-analysis    
-      - ram-acquisition   
-      - kernel-module     
+      - memory-analysis
+      - ram-acquisition
+      - kernel-module
     platforms:
       - Linux
       - Android
@@ -4024,7 +3920,11 @@ tools:
   - name: Maltego
     type: software
     description: >-
-      OSINT-Link-Analysis transformiert Recherchen in visuelle Netzwerke durch automatisierte Transform-Engine. Korreliert Domains, IP-Adressen, Social-Media-Accounts und enthüllt versteckte Verbindungen. Machine-Learning-Clustering findet BEC-Fraud-Netzwerke und Attribution-Patterns für Cybercrime-Ermittlungen.
+      OSINT-Link-Analysis transformiert Recherchen in visuelle Netzwerke durch
+      automatisierte Transform-Engine. Korreliert Domains, IP-Adressen,
+      Social-Media-Accounts und enthüllt versteckte Verbindungen.
+      Machine-Learning-Clustering findet BEC-Fraud-Netzwerke und
+      Attribution-Patterns für Cybercrime-Ermittlungen.
     skillLevel: intermediate
     url: https://www.maltego.com
     icon: 🌐
@@ -4046,7 +3946,11 @@ tools:
   - name: OnlyOffice
     type: software
     description: >-
-      Kollaborative Office-Suite mit Microsoft-Kompatibilität und Self-Hosting-Option für sensitive Ermittlungen. Real-Time-Co-Editing ermöglicht simultane Report-Erstellung, Version-History dokumentiert Änderungen für Audit-Trails. SSO-Integration und granulare Permissions sichern Multi-User-Forensik-Workflows.
+      Kollaborative Office-Suite mit Microsoft-Kompatibilität und
+      Self-Hosting-Option für sensitive Ermittlungen. Real-Time-Co-Editing
+      ermöglicht simultane Report-Erstellung, Version-History dokumentiert
+      Änderungen für Audit-Trails. SSO-Integration und granulare Permissions
+      sichern Multi-User-Forensik-Workflows.
     skillLevel: beginner
     url: https://www.onlyoffice.com
     icon: 📄
@@ -4067,7 +3971,11 @@ tools:
   - name: OpenCTI
     type: software
     description: >-
-      Cyber-Threat-Intelligence-Plattform orchestriert strukturierte IOC-Analyse durch STIX-kompatible Knowledge-Graphs. Automatische Enrichment-Pipeline korreliert scheinbar unabhängige Indicators zu Attack-Campaigns. Confidence-Scoring gewichtet Intelligence-Qualität für präzise Threat-Attribution.
+      Cyber-Threat-Intelligence-Plattform orchestriert strukturierte IOC-Analyse
+      durch STIX-kompatible Knowledge-Graphs. Automatische Enrichment-Pipeline
+      korreliert scheinbar unabhängige Indicators zu Attack-Campaigns.
+      Confidence-Scoring gewichtet Intelligence-Qualität für präzise
+      Threat-Attribution.
     skillLevel: intermediate
     url: https://filigran.io/platforms/opencti
     icon: 🗂️
@@ -4086,7 +3994,11 @@ tools:
   - name: Oxygen Forensic Suite
     type: software
     description: >-
-      Mobile-Forensik-Alternative mit Fokus auf Android-Deep-Extraction und chinesische Smartphones. Dekryptiert Telegram-Secret-Chats, analysiert 50+ Cloud-Services ohne Premium-Pricing und bietet Live-Memory-Dumps. Besonders stark bei Xiaomi/Huawei-Geräten mit regelmäßigen Updates für neue Apps.
+      Mobile-Forensik-Alternative mit Fokus auf Android-Deep-Extraction und
+      chinesische Smartphones. Dekryptiert Telegram-Secret-Chats, analysiert 50+
+      Cloud-Services ohne Premium-Pricing und bietet Live-Memory-Dumps.
+      Besonders stark bei Xiaomi/Huawei-Geräten mit regelmäßigen Updates für
+      neue Apps.
     skillLevel: advanced
     url: https://www.oxygenforensics.com
     icon: 📱
@@ -4106,7 +4018,11 @@ tools:
   - name: Radare2
     type: software
     description: >-
-      Modulares Reverse-Engineering-Framework vereint Disassembler, Debugger und Hex-Editor in mächtiger CLI-Suite. r2pipe-Integration bindet Framework in Python/Go-Scripts, Visual-Mode bietet Pseudo-GUI im Terminal. Unterstützt 20+ Architekturen von x86 bis WebAssembly für Firmware-Analyse und CTF-Challenges.
+      Modulares Reverse-Engineering-Framework vereint Disassembler, Debugger und
+      Hex-Editor in mächtiger CLI-Suite. r2pipe-Integration bindet Framework in
+      Python/Go-Scripts, Visual-Mode bietet Pseudo-GUI im Terminal. Unterstützt
+      20+ Architekturen von x86 bis WebAssembly für Firmware-Analyse und
+      CTF-Challenges.
     skillLevel: advanced
     url: https://rada.re/n/radare2.html
     icon: 🗡️
@@ -4127,7 +4043,11 @@ tools:
   - name: Rekall
     type: software
     description: >-
-      Googles Memory-Analysis-Framework mit Cloud-Scale-Capabilities und AFF4-Streaming-Support. Live-Memory-Analysis über HTTP-Endpoints, Jupyter-Notebook-Integration für Interactive-Analysis. Web-UI demokratisiert Memory-Forensics, obwohl Development 2018 eingestellt wurde zugunsten anderer Google-Projekte.
+      Googles Memory-Analysis-Framework mit Cloud-Scale-Capabilities und
+      AFF4-Streaming-Support. Live-Memory-Analysis über HTTP-Endpoints,
+      Jupyter-Notebook-Integration für Interactive-Analysis. Web-UI
+      demokratisiert Memory-Forensics, obwohl Development 2018 eingestellt wurde
+      zugunsten anderer Google-Projekte.
     skillLevel: advanced
     url: https://github.com/google/rekall
     icon: 🧬
@@ -4148,7 +4068,11 @@ tools:
   - name: Suricata
     type: software
     description: >-
-      Open-Source-IDS/IPS-Engine mit Multi-Threading und Lua-Scripting für Custom-Detection-Logic. HTTP-Keyword-Matching, TLS-Certificate-Fingerprinting und File-Extraction aus Netzwerk-Streams. JSON-Output integriert nahtlos in ELK-Stack, Hardware-Acceleration ermöglicht 100Gbit+-Performance.
+      Open-Source-IDS/IPS-Engine mit Multi-Threading und Lua-Scripting für
+      Custom-Detection-Logic. HTTP-Keyword-Matching,
+      TLS-Certificate-Fingerprinting und File-Extraction aus Netzwerk-Streams.
+      JSON-Output integriert nahtlos in ELK-Stack, Hardware-Acceleration
+      ermöglicht 100Gbit+-Performance.
     skillLevel: intermediate
     url: https://suricata.io
     icon: 🛡️
@@ -4168,7 +4092,11 @@ tools:
   - name: VirusTotal
     type: software
     description: >-
-      Googles Malware-Intelligence-Plattform aggregiert 70+ Antivirus-Engine-Erkennungen für sofortige Threat-Assessment. Retro-Hunt findet ähnliche Samples in Milliarden-Datenbank, Graph-View visualisiert Malware-Familien. Livehunt-Service alertiert bei neuen YARA-Matches für proaktive Threat-Hunting.
+      Googles Malware-Intelligence-Plattform aggregiert 70+
+      Antivirus-Engine-Erkennungen für sofortige Threat-Assessment. Retro-Hunt
+      findet ähnliche Samples in Milliarden-Datenbank, Graph-View visualisiert
+      Malware-Familien. Livehunt-Service alertiert bei neuen YARA-Matches für
+      proaktive Threat-Hunting.
     skillLevel: beginner
     url: https://www.virustotal.com
     icon: 🦠
@@ -4187,7 +4115,11 @@ tools:
   - name: WinHex
     type: software
     description: >-
-      Vielseitiger Hex-Editor mit forensischen Superkräften für Disk-Cloning, RAM-Editing und File-Recovery durch Signature-Scanning. NTFS-Alternate-Data-Streams-Support, MFT-Browser und Registry-Viewer parsen Strukturen direkt. Template-Engine automatisiert Datenstruktur-Parsing für komplexe Analysen.
+      Vielseitiger Hex-Editor mit forensischen Superkräften für Disk-Cloning,
+      RAM-Editing und File-Recovery durch Signature-Scanning.
+      NTFS-Alternate-Data-Streams-Support, MFT-Browser und Registry-Viewer
+      parsen Strukturen direkt. Template-Engine automatisiert
+      Datenstruktur-Parsing für komplexe Analysen.
     skillLevel: intermediate
     url: https://x-ways.net/winhex
     icon: 🗜️
@@ -4206,7 +4138,11 @@ tools:
   - name: WinPmem
     type: software
     description: >-
-      Velociraptor-Memory-Imager mit flexiblem Driver-System für Windows-RAM-Akquisition. Drei Modi: Kernel-Driver für Maximum-Access, WinAPI für Modern-Windows, Live-Service für Remote-Collection. ELF64-Output mit Metadaten für Volatility-Auto-Detection, Pagefile-Integration erweitert Memory-Space.
+      Velociraptor-Memory-Imager mit flexiblem Driver-System für
+      Windows-RAM-Akquisition. Drei Modi: Kernel-Driver für Maximum-Access,
+      WinAPI für Modern-Windows, Live-Service für Remote-Collection.
+      ELF64-Output mit Metadaten für Volatility-Auto-Detection,
+      Pagefile-Integration erweitert Memory-Space.
     skillLevel: advanced
     url: https://winpmem.velocidex.com
     icon: 💾
@@ -4229,7 +4165,11 @@ tools:
   - name: Zeek
     type: software
     description: >-
-      Programmierbares Netzwerk-Analysis-Framework interpretiert Protokolle und extrahiert strukturierte Logs für forensische Analyse. Scripting-Sprache ermöglicht Custom-Protocol-Decoder und Anomalie-Detection. Connection/HTTP/DNS/TLS-Logs, File-Analysis erkennt übertragene Malware automatisch.
+      Programmierbares Netzwerk-Analysis-Framework interpretiert Protokolle und
+      extrahiert strukturierte Logs für forensische Analyse. Scripting-Sprache
+      ermöglicht Custom-Protocol-Decoder und Anomalie-Detection.
+      Connection/HTTP/DNS/TLS-Logs, File-Analysis erkennt übertragene Malware
+      automatisch.
     skillLevel: advanced
     url: https://zeek.org
     icon: 📈
@@ -4249,7 +4189,11 @@ tools:
   - name: osquery
     type: software
     description: >-
-      Facebook-Telemetry-Engine transformiert Betriebssystem-Zustand in SQL-Queries für forensische Untersuchungen. 200+ Tables exposieren Prozesse, Registry, Scheduled-Tasks. Fleet-Wide-Hunting ermöglicht parallele Abfragen über tausende Endpoints mit Event-Framework für Real-Time-Changes.
+      Facebook-Telemetry-Engine transformiert Betriebssystem-Zustand in
+      SQL-Queries für forensische Untersuchungen. 200+ Tables exposieren
+      Prozesse, Registry, Scheduled-Tasks. Fleet-Wide-Hunting ermöglicht
+      parallele Abfragen über tausende Endpoints mit Event-Framework für
+      Real-Time-Changes.
     skillLevel: intermediate
     url: https://osquery.io
     icon: 🗄️
@@ -4270,7 +4214,11 @@ tools:
   - name: tcpdump
     type: software
     description: >-
-      Fundamentaler Packet-Sniffer mit BPF-Filter-Syntax für chirurgisch präzise Packet-Selektion seit 1987. Memory-effiziente Capture bei High-Speed-Interfaces, Ring-Buffer-Mode rotiert automatisch. libpcap-Basis macht Captures kompatibel zu allen Analysis-Tools. Verfügbar auf jedem Unix-System.
+      Fundamentaler Packet-Sniffer mit BPF-Filter-Syntax für chirurgisch präzise
+      Packet-Selektion seit 1987. Memory-effiziente Capture bei
+      High-Speed-Interfaces, Ring-Buffer-Mode rotiert automatisch. libpcap-Basis
+      macht Captures kompatibel zu allen Analysis-Tools. Verfügbar auf jedem
+      Unix-System.
     skillLevel: intermediate
     url: https://www.tcpdump.org
     icon: 🐙
@@ -4291,7 +4239,11 @@ tools:
   - name: x64dbg
     type: software
     description: >-
-      Kostenloser Windows-Debugger mit moderner 64-Bit-Architektur und aktivem Plugin-Ecosystem. Anti-Anti-Debug-Plugins umgehen Evasion-Techniken, Script-Engine automatisiert repetitive Tasks. Memory-Map-Viewer, Conditional-Breakpoints und Multi-Threading-Support für moderne Malware-Dynamic-Analysis.
+      Kostenloser Windows-Debugger mit moderner 64-Bit-Architektur und aktivem
+      Plugin-Ecosystem. Anti-Anti-Debug-Plugins umgehen Evasion-Techniken,
+      Script-Engine automatisiert repetitive Tasks. Memory-Map-Viewer,
+      Conditional-Breakpoints und Multi-Threading-Support für moderne
+      Malware-Dynamic-Analysis.
     skillLevel: advanced
     url: https://x64dbg.com
     icon: 🐛
@@ -4310,15 +4262,14 @@ tools:
   - name: grep
     type: software
     description: >-
-      Klassisches Unix-Werkzeug zur Zeilenfilterung, entwickelt 1973 von
-      Ken Thompson zur schnellen Suche nach regulären Ausdrücken in Dateien oder
+      Klassisches Unix-Werkzeug zur Zeilenfilterung, entwickelt 1973 von Ken
+      Thompson zur schnellen Suche nach regulären Ausdrücken in Dateien oder
       Datenströmen. Der Name leitet sich vom ed-Kommando „g/re/p“ ab und
-      spiegelt die Funktionsweise wider: globaler Ausdruck, Zeile drucken.
-      GNU grep unterstützt drei Regex-Dialekte (BRE, ERE, PCRE),
-      Farb-Highlighting und Zero-Copy-Block-Pufferung für Höchstgeschwindigkeit
-      auch in riesigen Logs. Dank seiner Pipe-Kompatibilität ist grep
-      Grundbaustein unzähliger DFIR-Einzeiler zum Parsen von Artefakten,
-      Netzwerk-Flows und Memory-Dumps.
+      spiegelt die Funktionsweise wider: globaler Ausdruck, Zeile drucken. GNU
+      grep unterstützt drei Regex-Dialekte (BRE, ERE, PCRE), Farb-Highlighting
+      und Zero-Copy-Block-Pufferung für Höchstgeschwindigkeit auch in riesigen
+      Logs. Dank seiner Pipe-Kompatibilität ist grep Grundbaustein unzähliger
+      DFIR-Einzeiler zum Parsen von Artefakten, Netzwerk-Flows und Memory-Dumps.
     skillLevel: beginner
     url: https://www.gnu.org/software/grep/
     icon: 🔍
@@ -4396,7 +4347,6 @@ tools:
       - hashing
       - auditing
       - multihash
-    related_concepts: null
     platforms:
       - Linux
       - macOS
@@ -4423,7 +4373,6 @@ tools:
     tags:
       - fuzzy-hashing
       - similarity
-    related_concepts: null
     platforms:
       - Linux
       - macOS
@@ -4453,7 +4402,6 @@ tools:
       - gpu-acceleration
       - cracking
       - scenario:credential_theft
-    related_concepts: null
     platforms:
       - Linux
       - Windows
@@ -4485,7 +4433,6 @@ tools:
       - link-analysis
       - aml
       - fraud
-    related_concepts: null
     platforms:
       - Web
       - Linux
@@ -4494,7 +4441,12 @@ tools:
     knowledgebase: false
   - name: Android Studio
     type: software
-    description: "Offizielle IDE von Google für die Android-Entwicklung, basierend auf JetBrains\_IntelliJ\_IDEA. Integriert ein flexibles Gradle-Buildsystem, Jetpack-Compose-Designer, Geräte-Emulator, Profiler und Debugging-Tools, um mobile Apps effizient zu erstellen, zu testen und zu analysieren – auch für forensische Re-Packaging- oder Malware-Analysen von APKs."
+    description: >-
+      Offizielle IDE von Google für die Android-Entwicklung, basierend auf
+      JetBrains\_IntelliJ\_IDEA. Integriert ein flexibles Gradle-Buildsystem,
+      Jetpack-Compose-Designer, Geräte-Emulator, Profiler und Debugging-Tools, um
+      mobile Apps effizient zu erstellen, zu testen und zu analysieren – auch für
+      forensische Re-Packaging- oder Malware-Analysen von APKs.
     skillLevel: intermediate
     url: https://developer.android.com/studio
     icon: 📱
@@ -4509,7 +4461,6 @@ tools:
       - android
       - emulator
       - debugging
-    related_concepts: null
     platforms:
       - Windows
       - macOS
@@ -4539,7 +4490,6 @@ tools:
       - mobile
       - device-management
       - extraction
-    related_concepts: null
     platforms:
       - Windows
       - macOS
@@ -4549,7 +4499,15 @@ tools:
     knowledgebase: false
   - name: dc3dd
     type: software
-    description: "dc3dd ist eine forensisch erweiterte Variante des klassischen Unix-Befehls dd. Sie unterstützt das gleichzeitige Berechnen mehrerer Hash-Werte (MD5, SHA-1, SHA-256, SHA-512) während der Image-Erstellung, führt ein detailliertes Log mit Prüfsummen und Fehlerblöcken und zeigt einen Fortschrittsbalken an. Weitere Funktionen sind das Splitten großer Abbilder, das gezielte Überschreiben von Mustern zum sicheren Löschen\_und die Möglichkeit, Fehlersektoren separat auszugeben, was besonders bei defekten Medien hilfreich ist."
+    description: >-
+      dc3dd ist eine forensisch erweiterte Variante des klassischen Unix-Befehls
+      dd. Sie unterstützt das gleichzeitige Berechnen mehrerer Hash-Werte (MD5,
+      SHA-1, SHA-256, SHA-512) während der Image-Erstellung, führt ein
+      detailliertes Log mit Prüfsummen und Fehlerblöcken und zeigt einen
+      Fortschrittsbalken an. Weitere Funktionen sind das Splitten großer Abbilder,
+      das gezielte Überschreiben von Mustern zum sicheren Löschen\_und die
+      Möglichkeit, Fehlersektoren separat auszugeben, was besonders bei defekten
+      Medien hilfreich ist.
     skillLevel: intermediate
     url: https://sourceforge.net/projects/dc3dd/
     icon: 💾
@@ -4598,7 +4556,6 @@ tools:
       - map-file
       - cli
       - scenario:disk_imaging
-    related_concepts: null
     platforms:
       - Linux
       - macOS
@@ -4608,7 +4565,16 @@ tools:
     knowledgebase: false
   - name: REMnux
     type: software
-    description: "REMnux ist eine auf Ubuntu basierende Linux-Distribution, die eine kuratierte Sammlung frei verfügbarer Tools für Malware-Analyse, Reverse\_Engineering und Speicherforensik in einer sofort einsatzbereiten VM vereint. Sie erspart Analyst:innen das mühsame Zusammenstellen einzelner Werkzeuge, da Paketverwaltung, Desktop-Integration und Lab-Skripte bereits vorkonfiguriert sind. Zu den integrierten Highlights zählen unter anderem Ghidra, Radare2, Volatility, stegdetect sowie diverse Netzwerk- und Sandboxing-Utilities, die regelmäßig in koordinierten Releases aktualisiert werden."
+    description: >-
+      REMnux ist eine auf Ubuntu basierende Linux-Distribution, die eine
+      kuratierte Sammlung frei verfügbarer Tools für Malware-Analyse,
+      Reverse\_Engineering und Speicherforensik in einer sofort einsatzbereiten VM
+      vereint. Sie erspart Analyst:innen das mühsame Zusammenstellen einzelner
+      Werkzeuge, da Paketverwaltung, Desktop-Integration und Lab-Skripte bereits
+      vorkonfiguriert sind. Zu den integrierten Highlights zählen unter anderem
+      Ghidra, Radare2, Volatility, stegdetect sowie diverse Netzwerk- und
+      Sandboxing-Utilities, die regelmäßig in koordinierten Releases aktualisiert
+      werden.
     skillLevel: intermediate
     url: https://remnux.org/
     icon: 🐧
@@ -4624,7 +4590,6 @@ tools:
       - toolkit
       - reverse-engineering
       - virtualization
-    related_concepts: null
     platforms:
       - Linux
     accessType: download
@@ -4632,7 +4597,12 @@ tools:
     knowledgebase: false
   - name: Android Backup Extractor
     type: software
-    description: "Das bewährte Kommandozeilen-Werkzeug zum Entpacken und Packen von Android-Backups (.ab) aus »adb backup«\_– inklusive Entschlüsselung passwort­geschützter Archive dank integrierter AES-Routinen. Ideal für die Extraktion forensisch relevanter App-Daten ohne Root-Zugriff und damit ein Must-have für Mobile-Analysen. :contentReference[oaicite:0]{index=0}"
+    description: >-
+      Das bewährte Kommandozeilen-Werkzeug zum Entpacken und Packen von
+      Android-Backups (.ab) aus »adb backup«\_– inklusive Entschlüsselung
+      passwort­geschützter Archive dank integrierter AES-Routinen. Ideal für die
+      Extraktion forensisch relevanter App-Daten ohne Root-Zugriff und damit ein
+      Must-have für Mobile-Analysen. :contentReference[oaicite:0]{index=0}
     skillLevel: intermediate
     url: https://github.com/nelenkov/android-backup-extractor
     icon: 📦
@@ -4649,7 +4619,6 @@ tools:
       - artifact-extraction
       - android
       - scenario:file_recovery
-    related_concepts: null
     platforms:
       - Windows
       - Linux
@@ -4659,7 +4628,13 @@ tools:
     knowledgebase: false
   - name: CAINE
     type: software
-    description: "CAINE (Computer Aided INvestigative Environment) ist eine Ubuntu-basierte Live-Linux-Distribution, die mehr als 150 Forensik-Werkzeuge in einer schreibgeschützten Umgebung bündelt. Version 14.0 »Lightstream« (März\_2025) bringt Kernel\_6.8, UEFI-Support und das UnBlock-GUI zum gezielten Aufheben der Write-Block-Funktion für einzelne Devices. :contentReference[oaicite:2]{index=2}"
+    description: >-
+      CAINE (Computer Aided INvestigative Environment) ist eine Ubuntu-basierte
+      Live-Linux-Distribution, die mehr als 150 Forensik-Werkzeuge in einer
+      schreibgeschützten Umgebung bündelt. Version 14.0 »Lightstream« (März\_2025)
+      bringt Kernel\_6.8, UEFI-Support und das UnBlock-GUI zum gezielten Aufheben
+      der Write-Block-Funktion für einzelne Devices.
+      :contentReference[oaicite:2]{index=2}
     skillLevel: beginner
     url: https://www.caine-live.net/
     icon: 💿
@@ -4679,7 +4654,6 @@ tools:
       - gui
       - cli
       - scenario:disk_imaging
-    related_concepts: null
     platforms:
       - Linux
     accessType: download
@@ -4718,7 +4692,6 @@ tools:
       - injection
       - cracking
       - scenario:credential_theft
-    related_concepts: null
     platforms:
       - Windows
       - Linux
@@ -4729,7 +4702,12 @@ tools:
     knowledgebase: false
   - name: WiFi Pineapple
     type: software
-    description: "Die Hak5-Hardware liefert mit der patentierten PineAP-Suite einen vollwertigen Rogue-Access-Point: automatisches Recon, Handshake- und Enterprise-Credential-Capture, gezielte Client-Filterung sowie Cloud\_C²-Fernsteuerung\_– alles per browser­basierter GUI auf dem Mark\_VII oder Enterprise-Modell. :contentReference[oaicite:6]{index=6}"
+    description: >-
+      Die Hak5-Hardware liefert mit der patentierten PineAP-Suite einen
+      vollwertigen Rogue-Access-Point: automatisches Recon, Handshake- und
+      Enterprise-Credential-Capture, gezielte Client-Filterung sowie
+      Cloud\_C²-Fernsteuerung\_– alles per browser­basierter GUI auf dem Mark\_VII
+      oder Enterprise-Modell. :contentReference[oaicite:6]{index=6}
     skillLevel: intermediate
     url: https://shop.hak5.org/products/wifi-pineapple
     icon: 📡
@@ -4746,7 +4724,6 @@ tools:
       - gui
       - web-interface
       - scenario:remote_access
-    related_concepts: null
     platforms:
       - Web
       - Hardware
@@ -4757,10 +4734,11 @@ tools:
     type: concept
     description: >-
       Fundamentale Kenntnisse der Netzwerkprotokolle von Layer 2-7 für
-      Traffic-Forensik und Incident-Response. TCP/IP-Grundlagen, HTTP/HTTPS-Header-Analyse,
-      DNS-Tunneling-Erkennung, und Protokoll-Anomalie-Detection. Session-Rekonstruktion
-      aus PCAP-Dateien, Payload-Extraktion und C2-Kommunikations-Patterns.
-      Verschlüsselte Protokolle wie TLS, SSH, VPN-Traffic-Charakteristika.
+      Traffic-Forensik und Incident-Response. TCP/IP-Grundlagen,
+      HTTP/HTTPS-Header-Analyse, DNS-Tunneling-Erkennung, und
+      Protokoll-Anomalie-Detection. Session-Rekonstruktion aus PCAP-Dateien,
+      Payload-Extraktion und C2-Kommunikations-Patterns. Verschlüsselte
+      Protokolle wie TLS, SSH, VPN-Traffic-Charakteristika.
       OSI-Model-Verständnis essentiell für Netzwerk-Forensik und APT-Hunting.
     skillLevel: intermediate
     url: https://www.iana.org/protocols
@@ -4783,17 +4761,17 @@ tools:
       - payload-extraction
       - anomaly-detection
     knowledgebase: true
-
   - name: File Systems & Storage Forensics
     type: concept
     description: >-
       Tiefgreifendes Verständnis von Dateisystem-Strukturen für forensische
-      Datenrekonstruktion. NTFS-Metadaten ($MFT, $LogFile, $UsnJrnl), ext4-Journaling,
-      APFS-Snapshots und HFS+-Forensik. Slack-Space-Analyse, Bad-Cluster-Hiding,
-      Alternate-Data-Streams und versteckte Partitionen. Deleted-File-Recovery durch
-      Inode-Strukturen, File-Carving-Prinzipien und Timestamp-Manipulation-Detection.
-      Cloud-Storage-Forensik für OneDrive, Google Drive, Dropbox-Artefakte.
-      Volume-Shadow-Copy-Analyse für Windows-Timeline-Rekonstruktion.
+      Datenrekonstruktion. NTFS-Metadaten ($MFT, $LogFile, $UsnJrnl),
+      ext4-Journaling, APFS-Snapshots und HFS+-Forensik. Slack-Space-Analyse,
+      Bad-Cluster-Hiding, Alternate-Data-Streams und versteckte Partitionen.
+      Deleted-File-Recovery durch Inode-Strukturen, File-Carving-Prinzipien und
+      Timestamp-Manipulation-Detection. Cloud-Storage-Forensik für OneDrive,
+      Google Drive, Dropbox-Artefakte. Volume-Shadow-Copy-Analyse für
+      Windows-Timeline-Rekonstruktion.
     skillLevel: intermediate
     url: https://forensicswiki.xyz/wiki/index.php?title=File_Systems
     icon: 💾
@@ -4815,18 +4793,18 @@ tools:
       - partition-analysis
       - cloud-storage
     knowledgebase: true
-
   - name: Timeline Analysis & Event Correlation
     type: concept
     description: >-
-      Methodische Korrelation zeitbasierter Artefakte für Incident-Rekonstruktion
-      und Beweisführung. Super-Timeline-Erstellung aus heterogenen Quellen,
-      Zeitstempel-Normalisierung und Timezone-Handling. Pivot-Point-Identifikation,
-      Activity-Gap-Analyse und Behavioral-Pattern-Erkennung. Correlation-Techniken
-      zwischen System-Events, User-Activity und Network-Connections.
-      Anti-Forensik-Detection durch Timeline-Inconsistencies. Automated-Timeline-
-      Processing und Machine-Learning-basierte Anomalie-Erkennung für
-      Enterprise-Scale-Investigations.
+      Methodische Korrelation zeitbasierter Artefakte für
+      Incident-Rekonstruktion und Beweisführung. Super-Timeline-Erstellung aus
+      heterogenen Quellen, Zeitstempel-Normalisierung und Timezone-Handling.
+      Pivot-Point-Identifikation, Activity-Gap-Analyse und
+      Behavioral-Pattern-Erkennung. Correlation-Techniken zwischen
+      System-Events, User-Activity und Network-Connections.
+      Anti-Forensik-Detection durch Timeline-Inconsistencies.
+      Automated-Timeline- Processing und Machine-Learning-basierte
+      Anomalie-Erkennung für Enterprise-Scale-Investigations.
     skillLevel: advanced
     url: https://www.sans.org/white-papers/digital-forensics-timeline-analysis/
     icon: ⏰
@@ -4848,19 +4826,20 @@ tools:
       - anomaly-detection
       - anti-forensics-detection
     knowledgebase: true
-
   - name: Memory Forensics & Process Analysis
     type: concept
     description: >-
-      Volatile-Memory-Strukturen und Process-Internals für Advanced-Malware-Detection.
-      Virtual-Memory-Layout, Process-Injection-Techniken, DLL-Hollowing und
-      Process-Ghosting-Erkennung. Kernel-Structures-Analysis, System-Call-Hooking
-      und Rootkit-Detection-Methoden. Memory-Dump-Acquisition-Strategien,
+      Volatile-Memory-Strukturen und Process-Internals für
+      Advanced-Malware-Detection. Virtual-Memory-Layout,
+      Process-Injection-Techniken, DLL-Hollowing und Process-Ghosting-Erkennung.
+      Kernel-Structures-Analysis, System-Call-Hooking und
+      Rootkit-Detection-Methoden. Memory-Dump-Acquisition-Strategien,
       Address-Space-Reconstruction und Encrypted-Memory-Handling. 
       Cross-Platform-Memory-Forensik für Windows, Linux, macOS-Systeme.
       Live-Memory-Analysis vs. Dead-Memory-Investigation-Tradeoffs.
     skillLevel: advanced
-    url: https://volatility-labs.blogspot.com/2012/10/movp-31-memory-forensics-taxonomy.html
+    url: >-
+      https://volatility-labs.blogspot.com/2012/10/movp-31-memory-forensics-taxonomy.html
     icon: 🧠
     domains:
       - incident-response
@@ -4882,7 +4861,13 @@ tools:
   - name: hdiutil
     type: software
     description: >-
-      macOS-nativer Disk-Image-Manager erstellt und mountet DMG, ISO, IMG-Dateien für forensische Analyse. Besonders wertvoll: Sparse-Image-Creation für Live-Collection, Checksum-Verifizierung mit CRC32/MD5, Read-Only-Mounting verhindert Beweis-Kontamination. Komprimierung und Verschlüsselung für sichere Evidence-Storage. Integration in Automator-Workflows für Batch-Processing. Der Standard für macOS-Imaging ohne externe Tools.
+      macOS-nativer Disk-Image-Manager erstellt und mountet DMG, ISO,
+      IMG-Dateien für forensische Analyse. Besonders wertvoll:
+      Sparse-Image-Creation für Live-Collection, Checksum-Verifizierung mit
+      CRC32/MD5, Read-Only-Mounting verhindert Beweis-Kontamination.
+      Komprimierung und Verschlüsselung für sichere Evidence-Storage.
+      Integration in Automator-Workflows für Batch-Processing. Der Standard für
+      macOS-Imaging ohne externe Tools.
     skillLevel: intermediate
     url: https://ss64.com/osx/hdiutil.html
     icon: 💿
@@ -4912,11 +4897,15 @@ tools:
     related_software:
       - dd
       - Fuji
-
   - name: asr
     type: software
     description: >-
-      Apple Software Restore führt Block-Level-Restores von macOS-Images durch und ermöglicht forensisches Cloning ganzer Volumes. Besonders bei APFS-Container-Forensik wertvoll: Bit-genaue Duplikation inklusive Metadaten, Snapshot-Preservation und FileVault-Verschlüsselung. Network-Restore-Fähigkeiten für Remote-Imaging. Der Low-Level-Zugriff umgeht Dateisystem-Beschränkungen für saubere Akquisition.
+      Apple Software Restore führt Block-Level-Restores von macOS-Images durch
+      und ermöglicht forensisches Cloning ganzer Volumes. Besonders bei
+      APFS-Container-Forensik wertvoll: Bit-genaue Duplikation inklusive
+      Metadaten, Snapshot-Preservation und FileVault-Verschlüsselung.
+      Network-Restore-Fähigkeiten für Remote-Imaging. Der Low-Level-Zugriff
+      umgeht Dateisystem-Beschränkungen für saubere Akquisition.
     skillLevel: advanced
     url: https://ss64.com/osx/asr.html
     icon: 🔄
@@ -4943,11 +4932,15 @@ tools:
     related_software:
       - hdiutil
       - dd
-
   - name: plutil
     type: software
     description: >-
-      Property-List-Parser konvertiert zwischen XML, Binary und JSON-Formaten für macOS-Artefakt-Analyse. Extrahiert Konfigurationsdaten aus Apps, System-Preferences und versteckten Plist-Files. Besonders wertvoll: Binary-Plist-Dekodierung ohne Xcode, Syntax-Validation für korrupte Files, Batch-Conversion für Massen-Analyse. Command-Line-Integration in Forensik-Scripts. Unverzichtbar für macOS-Application-Forensik.
+      Property-List-Parser konvertiert zwischen XML, Binary und JSON-Formaten
+      für macOS-Artefakt-Analyse. Extrahiert Konfigurationsdaten aus Apps,
+      System-Preferences und versteckten Plist-Files. Besonders wertvoll:
+      Binary-Plist-Dekodierung ohne Xcode, Syntax-Validation für korrupte Files,
+      Batch-Conversion für Massen-Analyse. Command-Line-Integration in
+      Forensik-Scripts. Unverzichtbar für macOS-Application-Forensik.
     skillLevel: beginner
     url: https://ss64.com/osx/plutil.html
     icon: 📋
@@ -4974,11 +4967,15 @@ tools:
       - File Systems & Storage Forensics
     related_software:
       - ExifTool
-
   - name: spotlight_parser
     type: software
     description: >-
-      Python-Framework analysiert macOS-Spotlight-Index für versteckte Dateimetadaten und Suchhistorie. Extrahiert gelöschte Referenzen, Volltext-Indizes und User-Search-Patterns aus .store-Datenbanken. Rekonstruiert File-Timeline auch nach Löschung, identifiziert externe Volume-Verbindungen. Besonders wertvoll für User-Activity-Tracking und Data-Exfiltration-Nachweis auf macOS-Systemen.
+      Python-Framework analysiert macOS-Spotlight-Index für versteckte
+      Dateimetadaten und Suchhistorie. Extrahiert gelöschte Referenzen,
+      Volltext-Indizes und User-Search-Patterns aus .store-Datenbanken.
+      Rekonstruiert File-Timeline auch nach Löschung, identifiziert externe
+      Volume-Verbindungen. Besonders wertvoll für User-Activity-Tracking und
+      Data-Exfiltration-Nachweis auf macOS-Systemen.
     skillLevel: intermediate
     url: https://github.com/ydkhatri/spotlight_parser
     icon: 🔍
@@ -5009,11 +5006,16 @@ tools:
     related_software:
       - ALEAPP
       - iLEAPP
-
   - name: FSEventsParser
     type: software
     description: >-
-      Dekodiert macOS-FSEvents-Logs für vollständige Dateisystem-Aktivitäts-Timeline ohne Lücken. Trackt Datei-Creation, Modification, Deletion und Movement auch bei gelöschten Files. Besonders wertvoll: Millisecond-Precision-Timestamps, Volume-übergreifende Tracking, Correlation mit anderen Artefakten. Python-basierte Parsing-Engine für Command-Line-Integration. Standard-Tool für macOS-Timeline-Forensik und Incident-Reconstruction.
+      Dekodiert macOS-FSEvents-Logs für vollständige
+      Dateisystem-Aktivitäts-Timeline ohne Lücken. Trackt Datei-Creation,
+      Modification, Deletion und Movement auch bei gelöschten Files. Besonders
+      wertvoll: Millisecond-Precision-Timestamps, Volume-übergreifende Tracking,
+      Correlation mit anderen Artefakten. Python-basierte Parsing-Engine für
+      Command-Line-Integration. Standard-Tool für macOS-Timeline-Forensik und
+      Incident-Reconstruction.
     skillLevel: intermediate
     url: https://github.com/dlcowen/FSEventsParser
     icon: 📊
@@ -5045,11 +5047,16 @@ tools:
     related_software:
       - Plaso (log2timeline)
       - Timesketch
-
   - name: chainbreaker
     type: software
     description: >-
-      Python-Tool extrahiert Passwörter, Zertifikate und Schlüssel aus macOS-Keychain-Dateien für Credential-Recovery. Dekryptiert sowohl Login- als auch System-Keychains mit User-Passwort oder Master-Key. Besonders wertvoll: WiFi-Passwort-Extraktion, Certificate-Chain-Analysis, Secure-Notes-Dekodierung. Batch-Processing für Enterprise-Deployments. Export in strukturierte Formate für weitere Analyse. Standard für macOS-Credential-Forensik.
+      Python-Tool extrahiert Passwörter, Zertifikate und Schlüssel aus
+      macOS-Keychain-Dateien für Credential-Recovery. Dekryptiert sowohl Login-
+      als auch System-Keychains mit User-Passwort oder Master-Key. Besonders
+      wertvoll: WiFi-Passwort-Extraktion, Certificate-Chain-Analysis,
+      Secure-Notes-Dekodierung. Batch-Processing für Enterprise-Deployments.
+      Export in strukturierte Formate für weitere Analyse. Standard für
+      macOS-Credential-Forensik.
     skillLevel: advanced
     url: https://github.com/n0fate/chainbreaker
     icon: ⛓️
@@ -5079,11 +5086,16 @@ tools:
       - Hash Functions & Digital Signatures
     related_software:
       - hashcat
-
   - name: UnifiedLogReader
     type: software
     description: >-
-      Alpha-Stadium-Parser für macOS-Unified-Logging-System analysiert strukturierte Logd-Datenbanken für System-Event-Reconstruction. Extrahiert versteckte Debug-Messages, Kernel-Events und App-Crashes aus tracev3-Files. Besonders wertvoll bei Malware-Persistenz-Analysis und System-Tampering-Detection. Korreliert Events über Process-Boundaries hinweg. Experimentelle Software mit begrenzter Stability aber einzigartige Capabilities.
+      Alpha-Stadium-Parser für macOS-Unified-Logging-System analysiert
+      strukturierte Logd-Datenbanken für System-Event-Reconstruction. Extrahiert
+      versteckte Debug-Messages, Kernel-Events und App-Crashes aus
+      tracev3-Files. Besonders wertvoll bei Malware-Persistenz-Analysis und
+      System-Tampering-Detection. Korreliert Events über Process-Boundaries
+      hinweg. Experimentelle Software mit begrenzter Stability aber einzigartige
+      Capabilities.
     skillLevel: expert
     url: https://github.com/ydkhatri/UnifiedLogReader
     icon: 📜
@@ -5114,11 +5126,16 @@ tools:
     related_software:
       - Plaso (log2timeline)
       - Aftermath
-
   - name: xmount
     type: software
     description: >-
-      Virtuelles Dateisystem mountet forensische Images als Block-Devices für Live-Analyse ohne Extraktion. Unterstützt EWF, AFF, RAW und DMG-Formate mit gleichzeitiger Konvertierung zwischen Formaten. Besonders wertvoll: Cache-System beschleunigt wiederholte Zugriffe, Write-Cache simuliert beschreibbare Images für Tests. FUSE-basierte Architektur für Linux/macOS-Integration. Perfekt für Timeline-Tools die direkten Disk-Zugriff benötigen.
+      Virtuelles Dateisystem mountet forensische Images als Block-Devices für
+      Live-Analyse ohne Extraktion. Unterstützt EWF, AFF, RAW und DMG-Formate
+      mit gleichzeitiger Konvertierung zwischen Formaten. Besonders wertvoll:
+      Cache-System beschleunigt wiederholte Zugriffe, Write-Cache simuliert
+      beschreibbare Images für Tests. FUSE-basierte Architektur für
+      Linux/macOS-Integration. Perfekt für Timeline-Tools die direkten
+      Disk-Zugriff benötigen.
     skillLevel: intermediate
     url: https://www.pinguin.lu/xmount
     icon: 🗄️
@@ -5148,11 +5165,15 @@ tools:
     related_software:
       - OSFMount
       - ewfmount
-
   - name: ewfmount
     type: software
     description: >-
-      FUSE-Wrapper mountet Expert-Witness-Format-Images als reguläre Files für Standard-Tool-Zugriff. Teil der libewf-Suite ermöglicht Read-Only-Access auf E01/Ex01-Segmente ohne Vollextraktion. Besonders praktisch: Integration in Standard-Workflows, Performance-Optimierung für große Archives, Metadata-Preservation. Cross-Platform-Verfügbarkeit für heterogene Lab-Umgebungen. Alternative zu proprietären Mounting-Tools.
+      FUSE-Wrapper mountet Expert-Witness-Format-Images als reguläre Files für
+      Standard-Tool-Zugriff. Teil der libewf-Suite ermöglicht Read-Only-Access
+      auf E01/Ex01-Segmente ohne Vollextraktion. Besonders praktisch:
+      Integration in Standard-Workflows, Performance-Optimierung für große
+      Archives, Metadata-Preservation. Cross-Platform-Verfügbarkeit für
+      heterogene Lab-Umgebungen. Alternative zu proprietären Mounting-Tools.
     skillLevel: beginner
     url: https://github.com/libyal/libewf/wiki/Mounting
     icon: 📁
@@ -5181,11 +5202,16 @@ tools:
     related_software:
       - xmount
       - ewfacquire
-
   - name: iPhone Backup Extractor
     type: software
     description: >-
-      Kommerzielle iOS-Backup-Analysis-Suite extrahiert Daten aus iTunes/Finder-Backups inklusive verschlüsselter Archives. Dekodiert App-Sandboxes, Keychain-Items und gelöschte SQLite-Records für umfassende iOS-Forensik. Besonders wertvoll: GUI für nicht-technische Ermittler, automatische App-Erkennung, Timeline-Export. Unterstützt iOS 3-17 mit regelmäßigen Updates. Premium-Features für Location-Data und Advanced-Recovery.
+      Kommerzielle iOS-Backup-Analysis-Suite extrahiert Daten aus
+      iTunes/Finder-Backups inklusive verschlüsselter Archives. Dekodiert
+      App-Sandboxes, Keychain-Items und gelöschte SQLite-Records für umfassende
+      iOS-Forensik. Besonders wertvoll: GUI für nicht-technische Ermittler,
+      automatische App-Erkennung, Timeline-Export. Unterstützt iOS 3-17 mit
+      regelmäßigen Updates. Premium-Features für Location-Data und
+      Advanced-Recovery.
     skillLevel: beginner
     url: https://www.3utools.com/iphone-backup-extractor/
     icon: 📱
@@ -5216,11 +5242,16 @@ tools:
     related_software:
       - iLEAPP
       - Cellebrite UFED
-
   - name: tmutil
     type: software
     description: >-
-      Time-Machine-Utility steuert macOS-Backup-System und analysiert Snapshot-Strukturen für forensische Timeline-Reconstruction. Listet verfügbare Backups, vergleicht Versionen und extrahiert historische File-States. Besonders wertvoll: Point-in-Time-Recovery für Evidence, Metadata-Analyse von Backup-Changes, APFS-Snapshot-Integration. Thin-Backup-Analysis reduziert Storage-Overhead. Command-Line-Access für Scripting-Integration.
+      Time-Machine-Utility steuert macOS-Backup-System und analysiert
+      Snapshot-Strukturen für forensische Timeline-Reconstruction. Listet
+      verfügbare Backups, vergleicht Versionen und extrahiert historische
+      File-States. Besonders wertvoll: Point-in-Time-Recovery für Evidence,
+      Metadata-Analyse von Backup-Changes, APFS-Snapshot-Integration.
+      Thin-Backup-Analysis reduziert Storage-Overhead. Command-Line-Access für
+      Scripting-Integration.
     skillLevel: intermediate
     url: https://ss64.com/osx/tmutil.html
     icon: ⏰
@@ -5253,24 +5284,23 @@ tools:
   - name: macOS Target Disk Mode Acquisition
     type: method
     description: >-
-      Forensische Datensammlung über Target Disk Mode (TDM) durch Drücken der T-Taste beim Boot-Vorgang.
-      Das Asservat verhält sich wie eine externe Festplatte über Firewire/Thunderbolt-Verbindung.
-      Vollständiges Verfahren: 1) Hardware-Schreibblocker anschließen, 2) T-Taste beim Boot drücken,
-      3) Ziel-Mac per Firewire/Thunderbolt verbinden, 4) Imaging mit dd/hdiutil durchführen.
-      Limitierungen: nur erste Festplatte verfügbar, Firmware-Passwort blockiert TDM,
-      Benutzerpasswort für FileVault-Entschlüsselung erforderlich.
+      Forensische Datensammlung über Target Disk Mode (TDM) durch Drücken der
+      T-Taste beim Boot-Vorgang. Das Asservat verhält sich wie eine externe
+      Festplatte über Firewire/Thunderbolt-Verbindung. Vollständiges Verfahren:
+      1) Hardware-Schreibblocker anschließen, 2) T-Taste beim Boot drücken, 3)
+      Ziel-Mac per Firewire/Thunderbolt verbinden, 4) Imaging mit dd/hdiutil
+      durchführen. Limitierungen: nur erste Festplatte verfügbar,
+      Firmware-Passwort blockiert TDM, Benutzerpasswort für
+      FileVault-Entschlüsselung erforderlich.
+    url: https://cloud.cc24.dev/f/32324
     skillLevel: intermediate
-    url: ""
-    icon: 🎯
     domains:
       - incident-response
       - static-investigations
     phases:
       - data-collection
-    platforms: []
-    accessType: null
-    license: null
-    knowledgebase: false
+    platforms:
+      - macOS
     tags:
       - live-acquisition
       - target-disk-mode
@@ -5283,27 +5313,27 @@ tools:
       - Digital Evidence Chain of Custody
     related_software:
       - dd
-
+    icon: 🎯
   - name: macOS Auto-Mount Prevention
     type: method
     description: >-
-      Verhinderung automatischen Mountens durch temporäres Deaktivieren des Disk Arbitrators.
-      Verfahren: 1) 'sudo launchctl unload /System/Library/LaunchDaemons/com.apple.diskarbitrationd.plist' ausführen,
-      2) Datenträger anschließen (kein diskutil verfügbar), 3) Imaging durchführen,
-      4) 'sudo launchctl load /System/Library/LaunchDaemons/com.apple.diskarbitrationd.plist' zur Reaktivierung.
-      Alternative zu Hardware-Schreibblockern für forensisch saubere Anbindung.
+      Verhinderung automatischen Mountens durch temporäres Deaktivieren des Disk
+      Arbitrators. Verfahren: 1) 'sudo launchctl unload
+      /System/Library/LaunchDaemons/com.apple.diskarbitrationd.plist' ausführen,
+      2) Datenträger anschließen (kein diskutil verfügbar), 3) Imaging
+      durchführen, 4) 'sudo launchctl load
+      /System/Library/LaunchDaemons/com.apple.diskarbitrationd.plist' zur
+      Reaktivierung. Alternative zu Hardware-Schreibblockern für forensisch
+      saubere Anbindung.
+    url: https://cloud.cc24.dev/f/32324
     skillLevel: intermediate
-    url: ""
-    icon: 🚫
     domains:
       - incident-response
       - static-investigations
     phases:
       - data-collection
-    platforms: []
-    accessType: null
-    license: null
-    knowledgebase: false
+    platforms:
+      - macOS
     tags:
       - write-blocker
       - disk-arbitrator
@@ -5313,19 +5343,18 @@ tools:
       - manual-mounting
     related_concepts:
       - Digital Evidence Chain of Custody
-    related_software: []
-
+    icon: 🚫
   - name: macOS Property List Analysis
     type: method
     description: >-
-      Systematische Auswertung von Apple Property List Dateien (Plist) in XML- und
-      Binärformat für Konfigurationsdaten und Systemeinstellungen. Konvertierung zwischen
-      Formaten mit plutil-Tool, strukturierte Analyse des binären Objektaufbaus mit 8-Byte-Header,
-      variabler Objekttabelle, Offset-Tabelle und 32-Byte-Trailer. Extraktion forensischer
-      Artefakte aus Systemkonfigurationen, Anwendungseinstellungen und Benutzeraktivitäten.
+      Systematische Auswertung von Apple Property List Dateien (Plist) in XML-
+      und Binärformat für Konfigurationsdaten und Systemeinstellungen.
+      Konvertierung zwischen Formaten mit plutil-Tool, strukturierte Analyse des
+      binären Objektaufbaus mit 8-Byte-Header, variabler Objekttabelle,
+      Offset-Tabelle und 32-Byte-Trailer. Extraktion forensischer Artefakte aus
+      Systemkonfigurationen, Anwendungseinstellungen und Benutzeraktivitäten.
+    url: https://cloud.cc24.dev/f/32324
     skillLevel: intermediate
-    url: ""
-    icon: 📋
     domains:
       - static-investigations
       - incident-response
@@ -5333,10 +5362,8 @@ tools:
     phases:
       - examination
       - analysis
-    platforms: []
-    accessType: null
-    license: null
-    knowledgebase: true
+    platforms:
+      - macOS
     tags:
       - plist-analysis
       - binary-decode
@@ -5345,30 +5372,28 @@ tools:
       - artifact-extraction
       - format-conversion
       - xml-parsing
-    related_concepts: []
-    related_software: []
-
+    icon: 📋
+    knowledgebase: true
   - name: macOS Spotlight Forensic Analysis
     type: method
     description: >-
-      Tiefgehende Auswertung der Spotlight-Indexdatenbanken (.store-Dateien) für umfassende
-      Dateimetadaten und Aktivitätsnachweise. Extraktion von Öffnungshäufigkeiten, letzten
-      Zugriffsdaten und versteckten Metadaten die im normalen Dateisystem nicht verfügbar sind.
-      Fundorte: /.Spotlight-V100/Store-V2/<UUID>/.store und ~/Library/Metadata/CoreSpotlight/.
-      Analyse erfordert spezielle Python-Parser für proprietäres undokumentiertes Format.
+      Tiefgehende Auswertung der Spotlight-Indexdatenbanken (.store-Dateien) für
+      umfassende Dateimetadaten und Aktivitätsnachweise. Extraktion von
+      Öffnungshäufigkeiten, letzten Zugriffsdaten und versteckten Metadaten die
+      im normalen Dateisystem nicht verfügbar sind. Fundorte:
+      /.Spotlight-V100/Store-V2/<UUID>/.store und
+      ~/Library/Metadata/CoreSpotlight/. Analyse erfordert spezielle
+      Python-Parser für proprietäres undokumentiertes Format.
+    url: https://cloud.cc24.dev/f/32324
     skillLevel: advanced
-    url: ""
-    icon: 🔍
     domains:
       - static-investigations
       - incident-response
     phases:
       - examination
       - analysis
-    platforms: []
-    accessType: null
-    license: null
-    knowledgebase: true
+    platforms:
+      - macOS
     tags:
       - spotlight-analysis
       - metadata-extraction
@@ -5379,29 +5404,28 @@ tools:
       - python-tools
     related_concepts:
       - Timeline Analysis & Event Correlation
-    related_software: []
-
+    icon: 🔍
+    knowledgebase: true
   - name: macOS FSEvents Analysis
     type: method
     description: >-
-      Forensische Auswertung von FSEvents-Logs für historische Dateisystemänderungen seit macOS 10.7.
-      Fundort: /.fseventsd/xxxxxxxxxx (gzip-komprimiert). Dateiname entspricht letzter Event-ID + 1.
-      Dekomprimierung und Parsing für chronologische Rekonstruktion von Datei-/Ordner-Operationen.
-      Besonderheit: alphabetische statt chronologische Speicherung erfordert spezielle Parser
-      für zeitbasierte Analyse und Aktivitätsmuster-Erkennung.
+      Forensische Auswertung von FSEvents-Logs für historische
+      Dateisystemänderungen seit macOS 10.7. Fundort: /.fseventsd/xxxxxxxxxx
+      (gzip-komprimiert). Dateiname entspricht letzter Event-ID + 1.
+      Dekomprimierung und Parsing für chronologische Rekonstruktion von
+      Datei-/Ordner-Operationen. Besonderheit: alphabetische statt
+      chronologische Speicherung erfordert spezielle Parser für zeitbasierte
+      Analyse und Aktivitätsmuster-Erkennung.
+    url: https://cloud.cc24.dev/f/32324
     skillLevel: intermediate
-    url: ""
-    icon: 📁
     domains:
       - static-investigations
       - incident-response
     phases:
       - examination
       - analysis
-    platforms: []
-    accessType: null
-    license: null
-    knowledgebase: true
+    platforms:
+      - macOS
     tags:
       - fsevents-analysis
       - filesystem-monitoring
@@ -5413,19 +5437,19 @@ tools:
     related_concepts:
       - Timeline Analysis & Event Correlation
       - File Systems & Storage Forensics
-    related_software: []
-
+    icon: 📁
+    knowledgebase: true
   - name: macOS Keychain Forensic Analysis
     type: method
     description: >-
       Extraktion und Entschlüsselung von Passwörtern aus macOS Keychain-Dateien
-      (~/Library/Keychains/*) für Zugangsdaten-Recovery. Auf T2/M1-Systemen Hardware-Bindung
-      durch HEK-Schlüssel, Entschlüsselung nur mit bekanntem Benutzerpasswort möglich.
-      Neuere Versionen: Export-Funktion deaktiviert, Alternative über Safari-Password-Manager
-      (CSV-Export) oder Python-Chainbreaker-Tools für Offline-Analyse.
+      (~/Library/Keychains/*) für Zugangsdaten-Recovery. Auf T2/M1-Systemen
+      Hardware-Bindung durch HEK-Schlüssel, Entschlüsselung nur mit bekanntem
+      Benutzerpasswort möglich. Neuere Versionen: Export-Funktion deaktiviert,
+      Alternative über Safari-Password-Manager (CSV-Export) oder
+      Python-Chainbreaker-Tools für Offline-Analyse.
+    url: https://cloud.cc24.dev/f/32324
     skillLevel: advanced
-    url: ""
-    icon: 🔐
     domains:
       - static-investigations
       - incident-response
@@ -5433,10 +5457,8 @@ tools:
     phases:
       - examination
       - analysis
-    platforms: []
-    accessType: null
-    license: null
-    knowledgebase: true
+    platforms:
+      - macOS
     tags:
       - keychain-analysis
       - password-extraction
@@ -5447,29 +5469,27 @@ tools:
       - access-restriction
     related_concepts:
       - Hash Functions & Digital Signatures
-    related_software: []
-
+    icon: 🔐
+    knowledgebase: true
   - name: macOS Unified Log Analysis
     type: method
     description: >-
       Dekodierung und Analyse des Apple Unified Logging (AUL) ab macOS 10.12 für
-      systemweite Event-Korrelation. Datenquellen: /var/db/diagnostics/Persist/ (tracev3-Dateien),
-      /var/db/diagnostics/Special/ und /var/db/uuidtext. Analyse mit 'log show', 'log collect',
-      Predicate-Filter für gezielte Suchen. Offline-Analyse erfordert Übertragung der
-      Verzeichnisse auf Analyse-Mac oder Virtualisierung des Zielsystems.
+      systemweite Event-Korrelation. Datenquellen: /var/db/diagnostics/Persist/
+      (tracev3-Dateien), /var/db/diagnostics/Special/ und /var/db/uuidtext.
+      Analyse mit 'log show', 'log collect', Predicate-Filter für gezielte
+      Suchen. Offline-Analyse erfordert Übertragung der Verzeichnisse auf
+      Analyse-Mac oder Virtualisierung des Zielsystems.
+    url: https://cloud.cc24.dev/f/32324
     skillLevel: advanced
-    url: ""
-    icon: 📊
     domains:
       - incident-response
       - static-investigations
     phases:
       - examination
       - analysis
-    platforms: []
-    accessType: null
-    license: null
-    knowledgebase: true
+    platforms:
+      - macOS
     tags:
       - unified-logging
       - tracev3-parsing
@@ -5480,29 +5500,27 @@ tools:
       - system-monitoring
     related_concepts:
       - Timeline Analysis & Event Correlation
-    related_software: []
-
+    icon: 📊
+    knowledgebase: true
   - name: macOS DMG Image Mounting
     type: method
     description: >-
-      Forensisch sauberes Mounting von Mac Disk Images mit Write-Protection. Verfahren:
-      1) DMG-Datei als 'geschützt' markieren (Schloss-Icon), 2) 'hdiutil attach -shadow'
-      für Shadow-File-Erstellung, 3) 'mdutil -i on' für Spotlight-Indexierung ohne Original-Änderung.
-      Alternative: RAW/E01-Images mit xmount zu DMG konvertieren. Ermöglicht native macOS-Tool-Nutzung
-      und Spotlight-Durchsuchbarkeit bei forensischer Integrität.
+      Forensisch sauberes Mounting von Mac Disk Images mit Write-Protection.
+      Verfahren: 1) DMG-Datei als 'geschützt' markieren (Schloss-Icon), 2)
+      'hdiutil attach -shadow' für Shadow-File-Erstellung, 3) 'mdutil -i on' für
+      Spotlight-Indexierung ohne Original-Änderung. Alternative: RAW/E01-Images
+      mit xmount zu DMG konvertieren. Ermöglicht native macOS-Tool-Nutzung und
+      Spotlight-Durchsuchbarkeit bei forensischer Integrität.
+    url: https://cloud.cc24.dev/f/32324
     skillLevel: intermediate
-    url: ""
-    icon: 💿
     domains:
       - static-investigations
       - incident-response
     phases:
       - examination
       - analysis
-    platforms: []
-    accessType: null
-    license: null
-    knowledgebase: false
+    platforms:
+      - macOS
     tags:
       - dmg-mounting
       - write-protection
@@ -5515,28 +5533,26 @@ tools:
       - Digital Evidence Chain of Custody
     related_software:
       - OSFMount
-
+    icon: 💿
   - name: macOS Time Machine Backup Analysis
     type: method
     description: >-
-      Forensische Auswertung von Time Machine Backups für historische Systemzustände.
-      Bis macOS 10.x: HFS+-Sparse-Bundle mit Hardlinks, ab BigSur: APFS-Snapshots.
-      Analyse-Befehle: 'tmutil listbackups', 'tmutil listlocalsnapshots', 'tmutil destinationinfo'.
-      Backup-Struktur: stündlich (24h), täglich (1 Monat), wöchentlich (permanent).
-      Auswertung der backup_manifest.plist für Snapshot-IDs und Timeline-Rekonstruktion.
+      Forensische Auswertung von Time Machine Backups für historische
+      Systemzustände. Bis macOS 10.x: HFS+-Sparse-Bundle mit Hardlinks, ab
+      BigSur: APFS-Snapshots. Analyse-Befehle: 'tmutil listbackups', 'tmutil
+      listlocalsnapshots', 'tmutil destinationinfo'. Backup-Struktur: stündlich
+      (24h), täglich (1 Monat), wöchentlich (permanent). Auswertung der
+      backup_manifest.plist für Snapshot-IDs und Timeline-Rekonstruktion.
+    url: https://cloud.cc24.dev/f/32324
     skillLevel: intermediate
-    url: ""
-    icon: ⏰
     domains:
       - static-investigations
       - incident-response
     phases:
       - examination
       - analysis
-    platforms: []
-    accessType: null
-    license: null
-    knowledgebase: true
+    platforms:
+      - macOS
     tags:
       - time-machine-analysis
       - backup-forensics
@@ -5548,29 +5564,28 @@ tools:
     related_concepts:
       - Timeline Analysis & Event Correlation
       - File Systems & Storage Forensics
-    related_software: []
-
+    icon: ⏰
+    knowledgebase: true
   - name: iOS Backup Forensic Analysis
     type: method
     description: >-
       Extraktion und Analyse von iTunes/iCloud-Backups für iOS-Geräte-Forensik.
-      Fundorte: Windows: /Users/[User]/AppData/Roaming/Apple Computer/MobileSync/Backup/,
-      macOS: ~/Library/Application Support/MobileSync/Backup/. UDID-basierte Ordnerstruktur
-      (SHA1 aus Seriennummer/IMEI/MAC), GUID-benannte Dateien enthalten iOS-Dateisystem-Inhalte.
-      Analyse von Info.plist, Manifest.plist, Status.plist für Backup-Metadaten.
+      Fundorte: Windows: /Users/[User]/AppData/Roaming/Apple
+      Computer/MobileSync/Backup/, macOS: ~/Library/Application
+      Support/MobileSync/Backup/. UDID-basierte Ordnerstruktur (SHA1 aus
+      Seriennummer/IMEI/MAC), GUID-benannte Dateien enthalten
+      iOS-Dateisystem-Inhalte. Analyse von Info.plist, Manifest.plist,
+      Status.plist für Backup-Metadaten.
+    url: https://cloud.cc24.dev/f/32324
     skillLevel: intermediate
-    url: ""
-    icon: 📱
     domains:
       - mobile-forensics
       - static-investigations
     phases:
       - examination
       - analysis
-    platforms: []
-    accessType: null
-    license: null
-    knowledgebase: true
+    platforms:
+      - macOS
     tags:
       - ios-backup-analysis
       - udid-decoding
@@ -5584,28 +5599,28 @@ tools:
       - Digital Evidence Chain of Custody
     related_software:
       - Cellebrite UFED
-
+    icon: 📱
+    knowledgebase: true
   - name: macOS iCloud Artifact Analysis
     type: method
     description: >-
-      Systematische Auswertung von iCloud-Synchronisations-Artefakten im lokalen Dateisystem.
-      Fundorte: ~/Library/Application Support/iCloud/Accounts (iCloud-ID),
-      ~/Library/Mobile Documents/ (synchronisierte Dateien), ~/Library/SyncedPreferences/ (App-Einstellungen),
-      ~/Library/Application Support/CloudDocs/ (client.db/server.db). Extraktion der account.1-Datei
-      und .DS_Store-Analyse für Cloud-Aktivitätsnachweise ohne direkten iCloud-Zugriff.
+      Systematische Auswertung von iCloud-Synchronisations-Artefakten im lokalen
+      Dateisystem. Fundorte: ~/Library/Application Support/iCloud/Accounts
+      (iCloud-ID), ~/Library/Mobile Documents/ (synchronisierte Dateien),
+      ~/Library/SyncedPreferences/ (App-Einstellungen), ~/Library/Application
+      Support/CloudDocs/ (client.db/server.db). Extraktion der account.1-Datei
+      und .DS_Store-Analyse für Cloud-Aktivitätsnachweise ohne direkten
+      iCloud-Zugriff.
+    url: https://cloud.cc24.dev/f/32324
     skillLevel: advanced
-    url: ""
-    icon: ☁️
     domains:
       - cloud-forensics
       - static-investigations
     phases:
       - examination
       - analysis
-    platforms: []
-    accessType: null
-    license: null
-    knowledgebase: true
+    platforms:
+      - macOS
     tags:
       - icloud-forensics
       - cloud-synchronization
@@ -5616,19 +5631,20 @@ tools:
       - metadata-analysis
     related_concepts:
       - Hash Functions & Digital Signatures
-    related_software: []
-
+    icon: ☁️
+    knowledgebase: true
   - name: macOS Communication App Analysis
     type: method
     description: >-
-      Forensische Untersuchung nativer macOS Kommunikations-Apps für Nachrichtenverlauf.
-      Messages: chat.db-SQLite-Datenbank (Tabellen: chat, messages, handle, attachments),
-      Attachments-Verzeichnis. Mail: Envelope Index-Datenbank, .emlx-Dateien, Accounts-SQLite.
-      Kontakte: AddressBook-v22.abcddb, MailRecents-v4.abcdmr. FaceTime: Plist-Konfigurationen
-      mit Anruflisten. Korrelation zwischen Apps und iOS-Synchronisation.
+      Forensische Untersuchung nativer macOS Kommunikations-Apps für
+      Nachrichtenverlauf. Messages: chat.db-SQLite-Datenbank (Tabellen: chat,
+      messages, handle, attachments), Attachments-Verzeichnis. Mail: Envelope
+      Index-Datenbank, .emlx-Dateien, Accounts-SQLite. Kontakte:
+      AddressBook-v22.abcddb, MailRecents-v4.abcdmr. FaceTime:
+      Plist-Konfigurationen mit Anruflisten. Korrelation zwischen Apps und
+      iOS-Synchronisation.
+    url: https://cloud.cc24.dev/f/32324
     skillLevel: intermediate
-    url: ""
-    icon: 💬
     domains:
       - static-investigations
       - fraud-investigation
@@ -5636,10 +5652,8 @@ tools:
     phases:
       - examination
       - analysis
-    platforms: []
-    accessType: null
-    license: null
-    knowledgebase: true
+    platforms:
+      - macOS
     tags:
       - communication-analysis
       - chat-db-analysis
@@ -5651,7 +5665,8 @@ tools:
     related_concepts:
       - SQL
       - Timeline Analysis & Event Correlation
-    related_software: []
+    icon: 💬
+    knowledgebase: true
 domains:
   - id: incident-response
     name: Incident Response & Breach-Untersuchung
@@ -5720,3 +5735,4 @@ scenarios:
   - id: scenario:windows-registry
     icon: 📜
     friendly_name: Windows Registry analysieren
+skill_levels: {}
diff --git a/tools-yaml-editor.html b/tools-yaml-editor.html
new file mode 100644
index 0000000..8a31b7e
--- /dev/null
+++ b/tools-yaml-editor.html
@@ -0,0 +1,1908 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Tools.yaml Editor</title>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/js-yaml/4.1.0/js-yaml.min.js"></script>
+    <style>
+        :root {
+            --bg-primary: #ffffff;
+            --bg-secondary: #f8f9fa;
+            --bg-tertiary: #e9ecef;
+            --text-primary: #212529;
+            --text-secondary: #6c757d;
+            --border-color: #dee2e6;
+            --accent-color: #0d6efd;
+            --success-color: #198754;
+            --warning-color: #fd7e14;
+            --danger-color: #dc3545;
+            --shadow: 0 2px 4px rgba(0,0,0,0.1);
+        }
+
+        [data-theme="dark"] {
+            --bg-primary: #1a1a1a;
+            --bg-secondary: #2d2d2d;
+            --bg-tertiary: #404040;
+            --text-primary: #ffffff;
+            --text-secondary: #b0b0b0;
+            --border-color: #404040;
+            --accent-color: #4a9eff;
+            --success-color: #28a745;
+            --warning-color: #ffc107;
+            --danger-color: #dc3545;
+            --shadow: 0 2px 4px rgba(0,0,0,0.3);
+        }
+
+        * {
+            margin: 0;
+            padding: 0;
+            box-sizing: border-box;
+        }
+
+        body {
+            font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
+            background-color: var(--bg-primary);
+            color: var(--text-primary);
+            line-height: 1.5;
+        }
+
+        .container {
+            max-width: 1400px;
+            margin: 0 auto;
+            padding: 20px;
+        }
+
+        .header {
+            display: flex;
+            justify-content: space-between;
+            align-items: center;
+            margin-bottom: 20px;
+            padding: 20px;
+            background: var(--bg-secondary);
+            border-radius: 8px;
+            box-shadow: var(--shadow);
+        }
+
+        .controls {
+            display: flex;
+            gap: 15px;
+            align-items: center;
+        }
+
+        .search-section {
+            display: grid;
+            grid-template-columns: 1fr auto;
+            gap: 20px;
+            margin-bottom: 20px;
+            padding: 20px;
+            background: var(--bg-secondary);
+            border-radius: 8px;
+            box-shadow: var(--shadow);
+        }
+
+        .search-filters {
+            display: grid;
+            grid-template-columns: 2fr 1fr 1fr 1fr 1fr 1fr 1fr;
+            gap: 15px;
+            align-items: end;
+        }
+
+        .bulk-actions {
+            display: flex;
+            gap: 10px;
+        }
+
+        .main-content {
+            display: grid;
+            grid-template-columns: 1fr 400px;
+            gap: 20px;
+        }
+
+        .tools-section {
+            background: var(--bg-secondary);
+            border-radius: 8px;
+            padding: 20px;
+            box-shadow: var(--shadow);
+        }
+
+        .edit-section {
+            background: var(--bg-secondary);
+            border-radius: 8px;
+            padding: 20px;
+            box-shadow: var(--shadow);
+            position: sticky;
+            top: 20px;
+            max-height: calc(100vh - 40px);
+            overflow-y: auto;
+        }
+
+        .tools-header {
+            display: flex;
+            justify-content: space-between;
+            align-items: center;
+            margin-bottom: 15px;
+        }
+
+        .tools-list {
+            max-height: 70vh;
+            overflow-y: auto;
+        }
+
+        .tool-item {
+            padding: 15px;
+            border: 1px solid var(--border-color);
+            border-radius: 6px;
+            margin-bottom: 10px;
+            cursor: pointer;
+            transition: all 0.2s;
+            background: var(--bg-primary);
+        }
+
+        .tool-item:hover {
+            background: var(--bg-tertiary);
+        }
+
+        .tool-item.selected {
+            border-color: var(--accent-color);
+            background: var(--bg-tertiary);
+        }
+
+        .tool-header {
+            display: flex;
+            justify-content: space-between;
+            align-items: flex-start;
+            margin-bottom: 8px;
+        }
+
+        .tool-name {
+            font-weight: 600;
+            color: var(--accent-color);
+            margin-bottom: 4px;
+        }
+
+        .tool-meta {
+            display: flex;
+            gap: 10px;
+            font-size: 0.85em;
+            color: var(--text-secondary);
+        }
+
+        .tool-description {
+            font-size: 0.9em;
+            margin-top: 8px;
+            display: -webkit-box;
+            -webkit-line-clamp: 2;
+            -webkit-box-orient: vertical;
+            overflow: hidden;
+        }
+
+        .tags {
+            display: flex;
+            flex-wrap: wrap;
+            gap: 4px;
+            margin-top: 8px;
+        }
+
+        .tag {
+            background: var(--accent-color);
+            color: white;
+            padding: 2px 8px;
+            border-radius: 12px;
+            font-size: 0.75em;
+        }
+
+        .form-group {
+            margin-bottom: 15px;
+        }
+
+        .form-label {
+            display: block;
+            margin-bottom: 5px;
+            font-weight: 500;
+        }
+
+        .form-input, .form-select, .form-textarea {
+            width: 100%;
+            padding: 8px 12px;
+            border: 1px solid var(--border-color);
+            border-radius: 4px;
+            background: var(--bg-primary);
+            color: var(--text-primary);
+            font-size: 14px;
+        }
+
+        .form-textarea {
+            resize: vertical;
+            min-height: 80px;
+        }
+
+        .form-checkbox {
+            margin-right: 8px;
+        }
+
+        .btn {
+            padding: 8px 16px;
+            border: none;
+            border-radius: 4px;
+            cursor: pointer;
+            font-size: 14px;
+            transition: all 0.2s;
+            text-decoration: none;
+            display: inline-block;
+            text-align: center;
+        }
+
+        .btn-primary {
+            background: var(--accent-color);
+            color: white;
+        }
+
+        .btn-secondary {
+            background: var(--bg-tertiary);
+            color: var(--text-primary);
+            border: 1px solid var(--border-color);
+        }
+
+        .btn-success {
+            background: var(--success-color);
+            color: white;
+        }
+
+        .btn-warning {
+            background: var(--warning-color);
+            color: white;
+        }
+
+        .btn-danger {
+            background: var(--danger-color);
+            color: white;
+        }
+
+        .btn-sm {
+            padding: 4px 8px;
+            font-size: 12px;
+        }
+
+        .btn:hover {
+            opacity: 0.9;
+            transform: translateY(-1px);
+        }
+
+        .autocomplete-container {
+            position: relative;
+        }
+
+        .autocomplete-dropdown {
+            position: absolute;
+            top: 100%;
+            left: 0;
+            right: 0;
+            background: var(--bg-primary);
+            border: 1px solid var(--border-color);
+            border-top: none;
+            border-radius: 0 0 4px 4px;
+            max-height: 200px;
+            overflow-y: auto;
+            z-index: 1000;
+            display: none;
+        }
+
+        .autocomplete-item {
+            padding: 8px 12px;
+            cursor: pointer;
+            border-bottom: 1px solid var(--border-color);
+        }
+
+        .autocomplete-item:hover,
+        .autocomplete-item.selected {
+            background: var(--bg-tertiary);
+        }
+
+        .autocomplete-item:last-child {
+            border-bottom: none;
+        }
+
+        .status-bar {
+            position: fixed;
+            bottom: 0;
+            left: 0;
+            right: 0;
+            background: var(--bg-secondary);
+            border-top: 1px solid var(--border-color);
+            padding: 10px 20px;
+            display: flex;
+            justify-content: space-between;
+            align-items: center;
+            font-size: 0.9em;
+        }
+
+        .theme-toggle {
+            background: none;
+            border: 1px solid var(--border-color);
+            color: var(--text-primary);
+            border-radius: 4px;
+            cursor: pointer;
+            padding: 6px 10px;
+        }
+
+        .validation-errors {
+            background: var(--danger-color);
+            color: white;
+            padding: 10px;
+            border-radius: 4px;
+            margin-bottom: 15px;
+            display: none;
+        }
+
+        .stats {
+            display: grid;
+            grid-template-columns: repeat(auto-fit, minmax(120px, 1fr));
+            gap: 10px;
+            margin-bottom: 20px;
+        }
+
+        .stat-item {
+            text-align: center;
+            padding: 10px;
+            background: var(--bg-tertiary);
+            border-radius: 4px;
+        }
+
+        .stat-number {
+            font-size: 1.5em;
+            font-weight: bold;
+            color: var(--accent-color);
+        }
+
+        .bulk-panel {
+            display: none;
+            background: var(--bg-tertiary);
+            padding: 15px;
+            border-radius: 6px;
+            margin-top: 15px;
+        }
+
+        .bulk-panel.active {
+            display: block;
+        }
+
+        .tag-input-container {
+            position: relative;
+        }
+
+        .tag-input {
+            display: flex;
+            flex-wrap: wrap;
+            gap: 4px;
+            min-height: 36px;
+            padding: 4px 8px;
+            border: 1px solid var(--border-color);
+            border-radius: 4px;
+            background: var(--bg-primary);
+            cursor: text;
+        }
+
+        .tag-input-item {
+            background: var(--accent-color);
+            color: white;
+            padding: 2px 8px;
+            border-radius: 12px;
+            font-size: 0.8em;
+            display: flex;
+            align-items: center;
+            gap: 4px;
+        }
+
+        .tag-input-item .remove {
+            cursor: pointer;
+            font-weight: bold;
+        }
+
+        .tag-input input {
+            border: none;
+            background: none;
+            outline: none;
+            color: var(--text-primary);
+            min-width: 100px;
+            flex: 1;
+        }
+
+        @media (max-width: 1200px) {
+            .main-content {
+                grid-template-columns: 1fr;
+            }
+            
+            .edit-section {
+                position: static;
+                max-height: none;
+            }
+
+            .search-filters {
+                grid-template-columns: 1fr;
+            }
+        }
+    </style>
+</head>
+<body data-theme="dark">
+    <div class="container">
+        <header class="header">
+            <h1>🔧 Tools.yaml Editor</h1>
+            <div class="controls">
+                <button class="theme-toggle" onclick="toggleTheme()">☀️</button>
+                <input type="file" id="importFile" accept=".yaml,.yml" style="display: none;" onchange="importYAML(event)">
+                <button class="btn btn-secondary" onclick="document.getElementById('importFile').click()">Import YAML</button>
+                <button class="btn btn-primary" onclick="exportYAML()">Export YAML</button>
+                <button class="btn btn-success" onclick="addNewTool()">Add Tool</button>
+            </div>
+        </header>
+
+        <section class="search-section">
+            <div class="search-filters">
+                <div class="form-group">
+                    <label class="form-label">Search Tools</label>
+                    <div class="autocomplete-container">
+                        <input type="text" id="searchInput" class="form-input" placeholder="Search by name, description, tags..." oninput="filterTools()">
+                        <div class="autocomplete-dropdown" id="searchAutocomplete"></div>
+                    </div>
+                </div>
+                <div class="form-group">
+                    <label class="form-label">Type</label>
+                    <select id="typeFilter" class="form-select" onchange="filterTools()">
+                        <option value="">All Types</option>
+                        <option value="software">Software</option>
+                        <option value="method">Method</option>
+                        <option value="concept">Concept</option>
+                    </select>
+                </div>
+                <div class="form-group">
+                    <label class="form-label">Skill Level</label>
+                    <select id="skillFilter" class="form-select" onchange="filterTools()">
+                        <option value="">All Levels</option>
+                        <option value="novice">Novice</option>
+                        <option value="beginner">Beginner</option>
+                        <option value="intermediate">Intermediate</option>
+                        <option value="advanced">Advanced</option>
+                        <option value="expert">Expert</option>
+                    </select>
+                </div>
+                <div class="form-group">
+                    <label class="form-label">Domain</label>
+                    <select id="domainFilter" class="form-select" onchange="filterTools()">
+                        <option value="">All Domains</option>
+                    </select>
+                </div>
+                <div class="form-group">
+                    <label class="form-label">Knowledgebase</label>
+                    <select id="knowledgebaseFilter" class="form-select" onchange="filterTools()">
+                        <option value="">All</option>
+                        <option value="true">Has KB</option>
+                        <option value="false">No KB</option>
+                    </select>
+                </div>
+                <div class="form-group">
+                    <label class="form-label">Validation</label>
+                    <select id="validationFilter" class="form-select" onchange="filterTools()">
+                        <option value="">All</option>
+                        <option value="valid">Valid Only</option>
+                        <option value="invalid">Has Issues</option>
+                    </select>
+                </div>
+                <div class="form-group">
+                    <label class="form-label">Sort by</label>
+                    <select id="sortBy" class="form-select" onchange="sortTools()">
+                        <option value="name">Name</option>
+                        <option value="type">Type</option>
+                        <option value="skillLevel">Skill Level</option>
+                        <option value="domains">Domain</option>
+                    </select>
+                </div>
+            </div>
+            <div class="bulk-actions">
+                <button class="btn btn-warning btn-sm" onclick="validateAllTools()">Validate All</button>
+                <button class="btn btn-danger btn-sm" onclick="fixMissingUrls()">Fix Missing URLs</button>
+                <button class="btn btn-secondary btn-sm" onclick="clearAllFilters()">Clear Filters</button>
+                <button class="btn btn-secondary btn-sm" onclick="toggleBulkPanel()">Bulk Actions</button>
+                <button class="btn btn-secondary btn-sm" onclick="showStats()">Statistics</button>
+            </div>
+        </section>
+
+        <div class="bulk-panel" id="bulkPanel">
+            <h3>Bulk Operations</h3>
+            <div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(200px, 1fr)); gap: 15px; margin-top: 10px;">
+                <div>
+                    <button class="btn btn-warning btn-sm" onclick="bulkRemoveTags()">Remove Tags</button>
+                    <input type="text" id="bulkRemoveTagsInput" placeholder="Tags to remove (comma-separated)" class="form-input" style="margin-top: 5px; font-size: 12px;">
+                </div>
+                <div>
+                    <button class="btn btn-warning btn-sm" onclick="bulkRenameTags()">Rename Tags</button>
+                    <input type="text" id="bulkRenameFrom" placeholder="From tag" class="form-input" style="margin-top: 5px; font-size: 12px;">
+                    <input type="text" id="bulkRenameTo" placeholder="To tag" class="form-input" style="margin-top: 5px; font-size: 12px;">
+                </div>
+                <div>
+                    <button class="btn btn-success btn-sm" onclick="bulkAssignRelatedConcepts()">Assign Related Concepts</button>
+                    <input type="text" id="bulkConceptsInput" placeholder="Concepts (comma-separated)" class="form-input" style="margin-top: 5px; font-size: 12px;">
+                </div>
+                <div>
+                    <button class="btn btn-success btn-sm" onclick="bulkAssignRelatedSoftware()">Assign Related Software</button>
+                    <input type="text" id="bulkSoftwareInput" placeholder="Software (comma-separated)" class="form-input" style="margin-top: 5px; font-size: 12px;">
+                </div>
+            </div>
+        </div>
+
+        <div class="main-content">
+            <section class="tools-section">
+                <div class="tools-header">
+                    <h2>Tools (<span id="toolCount">0</span>)</h2>
+                    <div style="display: flex; gap: 10px; align-items: center;">
+                        <div id="validationSummary" style="display: none; padding: 5px 10px; background: var(--warning-color); color: white; border-radius: 4px; font-size: 0.9em;">
+                            <span id="validationCount">0</span> tools need fixing
+                        </div>
+                        <button class="btn btn-danger btn-sm" onclick="clearSelection()">Clear Selection</button>
+                    </div>
+                </div>
+                <div class="stats" id="statsContainer" style="display: none;"></div>
+                <div class="validation-errors" id="validationErrors"></div>
+                <div class="tools-list" id="toolsList"></div>
+            </section>
+
+            <section class="edit-section">
+                <h2 id="editTitle">Tool Editor</h2>
+                <form id="toolForm">
+                    <div class="form-group">
+                        <label class="form-label">Name *</label>
+                        <input type="text" id="name" class="form-input" required>
+                    </div>
+
+                    <div class="form-group">
+                        <label class="form-label">Type *</label>
+                        <select id="type" class="form-select" required>
+                            <option value="">Select type...</option>
+                            <option value="software">Software</option>
+                            <option value="method">Method</option>
+                            <option value="concept">Concept</option>
+                        </select>
+                    </div>
+
+                    <div class="form-group">
+                        <label class="form-label">Icon</label>
+                        <input type="text" id="icon" class="form-input" placeholder="🔧">
+                    </div>
+
+                    <div class="form-group">
+                        <label class="form-label">Description *</label>
+                        <textarea id="description" class="form-textarea" required placeholder="Detailed description of the tool..."></textarea>
+                    </div>
+
+                    <div class="form-group">
+                        <label class="form-label">URL *</label>
+                        <input type="url" id="url" class="form-input" required placeholder="https://example.com">
+                    </div>
+
+                    <div class="form-group">
+                        <label class="form-label">Project URL</label>
+                        <input type="url" id="projectUrl" class="form-input" placeholder="https://project.example.com">
+                    </div>
+
+                    <div class="form-group">
+                        <label class="form-label">Skill Level *</label>
+                        <select id="skillLevel" class="form-select" required>
+                            <option value="">Select level...</option>
+                            <option value="novice">Novice</option>
+                            <option value="beginner">Beginner</option>
+                            <option value="intermediate">Intermediate</option>
+                            <option value="advanced">Advanced</option>
+                            <option value="expert">Expert</option>
+                        </select>
+                    </div>
+
+                    <div class="form-group">
+                        <label class="form-label">License</label>
+                        <input type="text" id="license" class="form-input" placeholder="MIT, GPL-3.0, Proprietary...">
+                    </div>
+
+                    <div class="form-group">
+                        <label class="form-label">Access Type</label>
+                        <select id="accessType" class="form-select">
+                            <option value="">Select access type...</option>
+                            <option value="download">Download</option>
+                            <option value="web">Web</option>
+                            <option value="api">API</option>
+                            <option value="cli">CLI</option>
+                            <option value="commercial">Commercial</option>
+                            <option value="server-based">Server-based</option>
+                        </select>
+                    </div>
+
+                    <div class="form-group">
+                        <label class="form-label">Domains</label>
+                        <div class="tag-input-container">
+                            <div class="tag-input" id="domainsInput" onclick="focusTagInput('domainsInput')">
+                                <input type="text" placeholder="Type domain..." onkeydown="handleTagInput(event, 'domains')" oninput="showAutocomplete(event, 'domains')">
+                            </div>
+                            <div class="autocomplete-dropdown" id="domainsAutocomplete"></div>
+                        </div>
+                    </div>
+
+                    <div class="form-group">
+                        <label class="form-label">Phases</label>
+                        <div class="tag-input-container">
+                            <div class="tag-input" id="phasesInput" onclick="focusTagInput('phasesInput')">
+                                <input type="text" placeholder="Type phase..." onkeydown="handleTagInput(event, 'phases')" oninput="showAutocomplete(event, 'phases')">
+                            </div>
+                            <div class="autocomplete-dropdown" id="phasesAutocomplete"></div>
+                        </div>
+                    </div>
+
+                    <div class="form-group">
+                        <label class="form-label">Platforms</label>
+                        <div class="tag-input-container">
+                            <div class="tag-input" id="platformsInput" onclick="focusTagInput('platformsInput')">
+                                <input type="text" placeholder="Type platform..." onkeydown="handleTagInput(event, 'platforms')" oninput="showAutocomplete(event, 'platforms')">
+                            </div>
+                            <div class="autocomplete-dropdown" id="platformsAutocomplete"></div>
+                        </div>
+                    </div>
+
+                    <div class="form-group">
+                        <label class="form-label">Tags</label>
+                        <div class="tag-input-container">
+                            <div class="tag-input" id="tagsInput" onclick="focusTagInput('tagsInput')">
+                                <input type="text" placeholder="Type tag..." onkeydown="handleTagInput(event, 'tags')" oninput="showAutocomplete(event, 'tags')">
+                            </div>
+                            <div class="autocomplete-dropdown" id="tagsAutocomplete"></div>
+                        </div>
+                    </div>
+
+                    <div class="form-group">
+                        <label class="form-label">Related Concepts</label>
+                        <div class="tag-input-container">
+                            <div class="tag-input" id="related_conceptsInput" onclick="focusTagInput('related_conceptsInput')">
+                                <input type="text" placeholder="Type concept..." onkeydown="handleTagInput(event, 'related_concepts')" oninput="showAutocomplete(event, 'related_concepts')">
+                            </div>
+                            <div class="autocomplete-dropdown" id="related_conceptsAutocomplete"></div>
+                        </div>
+                    </div>
+
+                    <div class="form-group">
+                        <label class="form-label">Related Software</label>
+                        <div class="tag-input-container">
+                            <div class="tag-input" id="related_softwareInput" onclick="focusTagInput('related_softwareInput')">
+                                <input type="text" placeholder="Type software..." onkeydown="handleTagInput(event, 'related_software')" oninput="showAutocomplete(event, 'related_software')">
+                            </div>
+                            <div class="autocomplete-dropdown" id="related_softwareAutocomplete"></div>
+                        </div>
+                    </div>
+
+                    <div class="form-group">
+                        <label>
+                            <input type="checkbox" id="knowledgebase" class="form-checkbox">
+                            Has Knowledgebase
+                        </label>
+                    </div>
+
+                    <div class="form-group" style="display: flex; gap: 10px; margin-top: 20px;">
+                        <button type="button" class="btn btn-primary" onclick="saveTool()">Save Tool</button>
+                        <button type="button" class="btn btn-secondary" onclick="clearForm()">Clear</button>
+                        <button type="button" class="btn btn-danger" onclick="deleteTool()" id="deleteBtn" style="display: none;">Delete</button>
+                    </div>
+                </form>
+            </section>
+        </div>
+    </div>
+
+    <div class="status-bar">
+        <div id="statusText">Ready</div>
+        <div style="font-size: 0.8em; color: var(--text-secondary);">
+            Tools.yaml Editor v1.0 | 
+            Shortcuts: Ctrl+S (Save), Ctrl+N (New), Ctrl+E (Export), Alt+V (Validate), Ctrl+F (Search), Esc (Clear)
+        </div>
+    </div>
+
+    <script>
+        // Global data storage
+        let toolsData = {
+            tools: [],
+            domains: [],
+            phases: [],
+            'domain-agnostic-software': [],
+            scenarios: [],
+            skill_levels: {}
+        };
+        
+        let filteredTools = [];
+        let selectedTool = null;
+        let editingIndex = -1;
+
+        // Initialize the application
+        function init() {
+            // Load theme preference
+            const savedTheme = localStorage.getItem('tools-editor-theme') || 'dark';
+            document.body.setAttribute('data-theme', savedTheme);
+            const themeToggle = document.querySelector('.theme-toggle');
+            themeToggle.textContent = savedTheme === 'light' ? '🌙' : '☀️';
+            
+            // Load sample domains and phases if none exist
+            if (toolsData.domains.length === 0) {
+                toolsData.domains = [
+                    { id: 'incident-response', name: 'Incident Response' },
+                    { id: 'static-investigations', name: 'Static Investigations' },
+                    { id: 'malware-analysis', name: 'Malware Analysis' },
+                    { id: 'network-forensics', name: 'Network Forensics' },
+                    { id: 'mobile-forensics', name: 'Mobile Forensics' },
+                    { id: 'cloud-forensics', name: 'Cloud Forensics' }
+                ];
+            }
+            
+            if (toolsData.phases.length === 0) {
+                toolsData.phases = [
+                    { id: 'data-collection', name: 'Data Collection' },
+                    { id: 'examination', name: 'Examination' },
+                    { id: 'analysis', name: 'Analysis' },
+                    { id: 'reporting', name: 'Reporting' }
+                ];
+            }
+
+            populateFilters();
+            renderTools();
+            updateStatus('Application initialized');
+        }
+
+        // Theme management
+        function toggleTheme() {
+            const body = document.body;
+            const currentTheme = body.getAttribute('data-theme');
+            const newTheme = currentTheme === 'light' ? 'dark' : 'light';
+            body.setAttribute('data-theme', newTheme);
+            
+            // Save theme preference
+            localStorage.setItem('tools-editor-theme', newTheme);
+            
+            const themeToggle = document.querySelector('.theme-toggle');
+            themeToggle.textContent = newTheme === 'light' ? '🌙' : '☀️';
+            
+            updateStatus(`Switched to ${newTheme} theme`);
+        }
+
+        // Status updates
+        function updateStatus(message) {
+            document.getElementById('statusText').textContent = message;
+        }
+
+        // Populate filter dropdowns
+        function populateFilters() {
+            const domainFilter = document.getElementById('domainFilter');
+            domainFilter.innerHTML = '<option value="">All Domains</option>';
+            toolsData.domains.forEach(domain => {
+                const option = document.createElement('option');
+                option.value = domain.id;
+                option.textContent = domain.name;
+                domainFilter.appendChild(option);
+            });
+        }
+
+        // Get all unique values for autocomplete
+        function getUniqueValues(field) {
+            const values = new Set();
+            toolsData.tools.forEach(tool => {
+                if (tool[field]) {
+                    if (Array.isArray(tool[field])) {
+                        tool[field].forEach(value => values.add(value));
+                    } else {
+                        values.add(tool[field]);
+                    }
+                }
+            });
+            
+            // Add predefined values
+            if (field === 'domains') {
+                toolsData.domains.forEach(domain => values.add(domain.id));
+            } else if (field === 'phases') {
+                toolsData.phases.forEach(phase => values.add(phase.id));
+            } else if (field === 'platforms') {
+                ['Windows', 'macOS', 'Linux', 'Web', 'Mobile', 'Cross-platform'].forEach(p => values.add(p));
+            } else if (field === 'related_concepts') {
+                toolsData.tools.filter(t => t.type === 'concept').forEach(t => values.add(t.name));
+            } else if (field === 'related_software') {
+                toolsData.tools.filter(t => t.type === 'software').forEach(t => values.add(t.name));
+            }
+            
+            return Array.from(values).sort();
+        }
+
+        // Tag input handling
+        function focusTagInput(containerId) {
+            const input = document.querySelector(`#${containerId} input`);
+            input.focus();
+        }
+
+        function handleTagInput(event, field) {
+            const dropdown = document.getElementById(`${field}Autocomplete`);
+            const items = dropdown.querySelectorAll('.autocomplete-item');
+            let selectedIndex = Array.from(items).findIndex(item => item.classList.contains('selected'));
+            
+            if (event.key === 'ArrowDown') {
+                event.preventDefault();
+                selectedIndex = Math.min(selectedIndex + 1, items.length - 1);
+                updateAutocompleteSelection(items, selectedIndex);
+            } else if (event.key === 'ArrowUp') {
+                event.preventDefault();
+                selectedIndex = Math.max(selectedIndex - 1, 0);
+                updateAutocompleteSelection(items, selectedIndex);
+            } else if (event.key === 'Enter') {
+                event.preventDefault();
+                if (selectedIndex >= 0 && items[selectedIndex]) {
+                    const value = items[selectedIndex].textContent;
+                    addTag(field, value);
+                    event.target.value = '';
+                    hideAutocomplete(field);
+                } else {
+                    const value = event.target.value.trim();
+                    if (value) {
+                        addTag(field, value);
+                        event.target.value = '';
+                        hideAutocomplete(field);
+                    }
+                }
+            } else if (event.key === ',' || event.key === 'Tab') {
+                event.preventDefault();
+                const input = event.target;
+                const value = input.value.trim();
+                if (value) {
+                    addTag(field, value);
+                    input.value = '';
+                    hideAutocomplete(field);
+                }
+            } else if (event.key === 'Backspace' && event.target.value === '') {
+                removeLastTag(field);
+            }
+        }
+        
+        function updateAutocompleteSelection(items, selectedIndex) {
+            items.forEach((item, index) => {
+                item.classList.toggle('selected', index === selectedIndex);
+            });
+        }
+
+        function addTag(field, value) {
+            const container = document.getElementById(`${field}Input`);
+            const input = container.querySelector('input');
+            
+            // Check if tag already exists
+            const existingTags = Array.from(container.querySelectorAll('.tag-input-item')).map(item => 
+                item.textContent.replace('×', '').trim()
+            );
+            
+            if (existingTags.includes(value)) return;
+            
+            const tagElement = document.createElement('div');
+            tagElement.className = 'tag-input-item';
+            tagElement.innerHTML = `${value} <span class="remove" onclick="removeTag('${field}', this)">×</span>`;
+            
+            container.insertBefore(tagElement, input);
+        }
+
+        function removeTag(field, element) {
+            element.parentElement.remove();
+        }
+
+        function removeLastTag(field) {
+            const container = document.getElementById(`${field}Input`);
+            const tags = container.querySelectorAll('.tag-input-item');
+            if (tags.length > 0) {
+                tags[tags.length - 1].remove();
+            }
+        }
+
+        function getTagValues(field) {
+            const container = document.getElementById(`${field}Input`);
+            return Array.from(container.querySelectorAll('.tag-input-item')).map(item => 
+                item.textContent.replace('×', '').trim()
+            );
+        }
+
+        function setTagValues(field, values) {
+            const container = document.getElementById(`${field}Input`);
+            // Clear existing tags
+            container.querySelectorAll('.tag-input-item').forEach(item => item.remove());
+            // Add new tags
+            if (values && Array.isArray(values)) {
+                values.forEach(value => addTag(field, value));
+            }
+        }
+
+        // Autocomplete functionality
+        function showAutocomplete(event, field) {
+            const input = event.target;
+            const value = input.value.toLowerCase();
+            const dropdown = document.getElementById(`${field}Autocomplete`);
+            
+            if (value.length < 1) {
+                hideAutocomplete(field);
+                return;
+            }
+            
+            const suggestions = getUniqueValues(field).filter(item => 
+                item.toLowerCase().includes(value)
+            );
+            
+            if (suggestions.length === 0) {
+                hideAutocomplete(field);
+                return;
+            }
+            
+            dropdown.innerHTML = '';
+            suggestions.slice(0, 10).forEach((suggestion, index) => {
+                const item = document.createElement('div');
+                item.className = 'autocomplete-item';
+                if (index === 0) item.classList.add('selected'); // Select first item by default
+                item.textContent = suggestion;
+                item.onclick = () => {
+                    addTag(field, suggestion);
+                    input.value = '';
+                    hideAutocomplete(field);
+                };
+                dropdown.appendChild(item);
+            });
+            
+            dropdown.style.display = 'block';
+        }
+
+        function hideAutocomplete(field) {
+            document.getElementById(`${field}Autocomplete`).style.display = 'none';
+        }
+
+        // Tool management
+        function addNewTool() {
+            clearForm();
+            editingIndex = -1;
+            document.getElementById('editTitle').textContent = 'Add New Tool';
+            document.getElementById('deleteBtn').style.display = 'none';
+            updateStatus('Creating new tool');
+        }
+
+        function editTool(index) {
+            const tool = filteredTools[index];
+            editingIndex = toolsData.tools.indexOf(tool);
+            
+            // Populate form
+            document.getElementById('name').value = tool.name || '';
+            document.getElementById('type').value = tool.type || '';
+            document.getElementById('icon').value = tool.icon || '';
+            document.getElementById('description').value = tool.description || '';
+            document.getElementById('url').value = tool.url || '';
+            document.getElementById('projectUrl').value = tool.projectUrl || '';
+            document.getElementById('skillLevel').value = tool.skillLevel || '';
+            document.getElementById('license').value = tool.license || '';
+            document.getElementById('accessType').value = tool.accessType || '';
+            document.getElementById('knowledgebase').checked = tool.knowledgebase || false;
+            
+            // Set tag values
+            setTagValues('domains', tool.domains);
+            setTagValues('phases', tool.phases);
+            setTagValues('platforms', tool.platforms);
+            setTagValues('tags', tool.tags);
+            setTagValues('related_concepts', tool.related_concepts);
+            setTagValues('related_software', tool.related_software);
+            
+            document.getElementById('editTitle').textContent = `Edit: ${tool.name}`;
+            document.getElementById('deleteBtn').style.display = 'inline-block';
+            
+            updateStatus(`Editing ${tool.name}`);
+        }
+
+        function saveTool() {
+            const form = document.getElementById('toolForm');
+            if (!form.checkValidity()) {
+                form.reportValidity();
+                return;
+            }
+            
+            const tool = {
+                name: document.getElementById('name').value.trim(),
+                type: document.getElementById('type').value,
+                description: document.getElementById('description').value.trim(),
+                url: document.getElementById('url').value.trim(),
+                skillLevel: document.getElementById('skillLevel').value,
+                domains: getTagValues('domains'),
+                phases: getTagValues('phases'),
+                platforms: getTagValues('platforms'),
+                tags: getTagValues('tags'),
+                related_concepts: getTagValues('related_concepts'),
+                related_software: getTagValues('related_software')
+            };
+            
+            // Add optional fields only if they have values
+            const icon = document.getElementById('icon').value.trim();
+            if (icon) tool.icon = icon;
+            
+            const projectUrl = document.getElementById('projectUrl').value.trim();
+            if (projectUrl) tool.projectUrl = projectUrl;
+            
+            const license = document.getElementById('license').value.trim();
+            if (license) tool.license = license;
+            
+            const accessType = document.getElementById('accessType').value;
+            if (accessType) tool.accessType = accessType;
+            
+            if (document.getElementById('knowledgebase').checked) {
+                tool.knowledgebase = true;
+            }
+            
+            // Remove empty arrays to keep YAML clean
+            Object.keys(tool).forEach(key => {
+                if (Array.isArray(tool[key]) && tool[key].length === 0) {
+                    delete tool[key];
+                }
+            });
+            
+            // Validate tool
+            const errors = validateTool(tool);
+            if (errors.length > 0) {
+                showValidationErrors(errors);
+                return;
+            }
+            
+            hideValidationErrors();
+            
+            const isNewTool = editingIndex < 0;
+            const toolName = tool.name;
+            
+            if (editingIndex >= 0) {
+                // Update existing tool
+                toolsData.tools[editingIndex] = tool;
+                
+                // Show immediate feedback
+                updateStatus(`✅ Updated ${toolName}`);
+                
+                // Add temporary success indicator to the form
+                showSaveSuccess('Tool updated successfully!');
+                
+            } else {
+                // Add new tool
+                toolsData.tools.push(tool);
+                
+                // Show immediate feedback
+                updateStatus(`✅ Added ${toolName}`);
+                
+                // Add temporary success indicator to the form
+                showSaveSuccess('Tool added successfully!');
+            }
+            
+            // Refresh the view immediately - this will update filtered results
+            filterTools(); // This ensures tools disappear from "invalid" filter if fixed
+            
+            // Clear form after successful save
+            clearForm();
+            
+            // If we were viewing validation errors, update the validation summary
+            setTimeout(() => {
+                const validationFilter = document.getElementById('validationFilter').value;
+                if (validationFilter === 'invalid') {
+                    // Re-run validation check to update counts
+                    const remainingErrors = [];
+                    toolsData.tools.forEach((t, index) => {
+                        const toolErrors = validateTool(t, index);
+                        remainingErrors.push(...toolErrors);
+                    });
+                    
+                    if (remainingErrors.length === 0) {
+                        // No more invalid tools - show success message
+                        hideValidationErrors();
+                        updateStatus('🎉 All validation errors fixed!');
+                        
+                        // Optionally clear the validation filter
+                        document.getElementById('validationFilter').value = '';
+                        filterTools();
+                    } else {
+                        // Update validation summary
+                        const validationSummary = document.getElementById('validationSummary');
+                        const validationCount = document.getElementById('validationCount');
+                        if (validationSummary && validationCount) {
+                            validationCount.textContent = toolsData.tools.filter(t => validateToolBasic(t).length > 0).length;
+                            validationSummary.style.display = validationCount.textContent === '0' ? 'none' : 'block';
+                        }
+                    }
+                }
+            }, 100);
+        }
+
+        // Helper function to show save success feedback
+        function showSaveSuccess(message) {
+            // Create or update success indicator
+            let successDiv = document.getElementById('saveSuccess');
+            if (!successDiv) {
+                successDiv = document.createElement('div');
+                successDiv.id = 'saveSuccess';
+                successDiv.style.cssText = `
+                    position: fixed;
+                    top: 20px;
+                    right: 20px;
+                    background: var(--success-color);
+                    color: white;
+                    padding: 12px 20px;
+                    border-radius: 6px;
+                    box-shadow: var(--shadow);
+                    z-index: 1000;
+                    opacity: 0;
+                    transform: translateY(-20px);
+                    transition: all 0.3s ease;
+                `;
+                document.body.appendChild(successDiv);
+            }
+            
+            successDiv.textContent = message;
+            
+            // Animate in
+            requestAnimationFrame(() => {
+                successDiv.style.opacity = '1';
+                successDiv.style.transform = 'translateY(0)';
+            });
+            
+            // Animate out after 3 seconds
+            setTimeout(() => {
+                successDiv.style.opacity = '0';
+                successDiv.style.transform = 'translateY(-20px)';
+                
+                setTimeout(() => {
+                    if (successDiv.parentNode) {
+                        successDiv.parentNode.removeChild(successDiv);
+                    }
+                }, 300);
+            }, 3000);
+        }
+
+        function deleteTool() {
+            if (editingIndex >= 0 && confirm('Are you sure you want to delete this tool?')) {
+                const toolName = toolsData.tools[editingIndex].name;
+                toolsData.tools.splice(editingIndex, 1);
+                updateStatus(`Deleted ${toolName}`);
+                renderTools();
+                clearForm();
+            }
+        }
+
+        function clearForm() {
+            document.getElementById('toolForm').reset();
+            // Clear tag inputs
+            ['domains', 'phases', 'platforms', 'tags', 'related_concepts', 'related_software'].forEach(field => {
+                setTagValues(field, []);
+            });
+            editingIndex = -1;
+            document.getElementById('editTitle').textContent = 'Tool Editor';
+            document.getElementById('deleteBtn').style.display = 'none';
+        }
+
+        // Basic validation for rendering (no duplicate checks)
+        function validateToolBasic(tool) {
+            const errors = [];
+            
+            // Required fields validation
+            if (!tool.name || typeof tool.name !== 'string' || tool.name.trim() === '') {
+                errors.push('Name is required and must be a non-empty string');
+            }
+            
+            if (!tool.type || !['software', 'method', 'concept'].includes(tool.type)) {
+                errors.push('Type is required and must be one of: software, method, concept');
+            }
+            
+            if (!tool.description || typeof tool.description !== 'string' || tool.description.trim() === '') {
+                errors.push('Description is required and must be a non-empty string');
+            }
+            
+            if (!tool.url || typeof tool.url !== 'string' || tool.url.trim() === '') {
+                errors.push('URL is required and must be a non-empty string');
+            }
+            
+            if (!tool.skillLevel || !['novice', 'beginner', 'intermediate', 'advanced', 'expert'].includes(tool.skillLevel)) {
+                errors.push('Skill level is required and must be one of: novice, beginner, intermediate, advanced, expert');
+            }
+            
+            // URL format validation
+            if (tool.url && tool.url.trim() !== '') {
+                try {
+                    new URL(tool.url);
+                } catch {
+                    errors.push('URL must be a valid URL format');
+                }
+            }
+            
+            // Project URL validation (if provided)
+            if (tool.projectUrl && tool.projectUrl.trim() !== '') {
+                try {
+                    new URL(tool.projectUrl);
+                } catch {
+                    errors.push('Project URL must be a valid URL format');
+                }
+            }
+            
+            // Array fields validation
+            const arrayFields = ['domains', 'phases', 'platforms', 'tags', 'related_concepts', 'related_software'];
+            arrayFields.forEach(field => {
+                if (tool[field] !== undefined && tool[field] !== null && !Array.isArray(tool[field])) {
+                    errors.push(`${field} must be an array if provided`);
+                }
+            });
+            
+            // String fields validation (optional but must be strings if provided)
+            const stringFields = ['icon', 'license', 'accessType'];
+            stringFields.forEach(field => {
+                if (tool[field] !== undefined && tool[field] !== null && typeof tool[field] !== 'string') {
+                    errors.push(`${field} must be a string if provided`);
+                }
+            });
+            
+            // Boolean field validation
+            if (tool.knowledgebase !== undefined && tool.knowledgebase !== null && typeof tool.knowledgebase !== 'boolean') {
+                errors.push('knowledgebase must be a boolean if provided');
+            }
+            
+            return errors;
+        }
+
+        // Full validation for form submission and bulk validation (includes duplicate checks)
+        function validateTool(tool, index = null) {
+            const prefix = index !== null ? `Tool ${index + 1} (${tool.name || 'Unnamed'}): ` : '';
+            const errors = validateToolBasic(tool).map(error => prefix + error);
+            
+            // Check for duplicate names (only for single tool validation)
+            if (index === null) {
+                const existingIndex = toolsData.tools.findIndex(t => t.name === tool.name);
+                if (existingIndex >= 0 && existingIndex !== editingIndex) {
+                    errors.push(prefix + 'Tool name already exists');
+                }
+            }
+            
+            return errors;
+        }
+
+        // Update the renderTools function to use basic validation
+        // Find this line in the renderTools function:
+        // And replace it with:
+        // const hasValidationIssues = validateToolBasic(tool).length > 0;
+
+        function fixMissingUrls() {
+            const toolsWithMissingUrls = toolsData.tools.filter(tool => 
+                !tool.url || typeof tool.url !== 'string' || tool.url.trim() === ''
+            );
+            
+            if (toolsWithMissingUrls.length === 0) {
+                updateStatus('✅ No tools with missing URLs found');
+                return;
+            }
+            
+            const confirmMessage = `Found ${toolsWithMissingUrls.length} tools with missing URLs:\n\n${toolsWithMissingUrls.map(t => `• ${t.name || 'Unnamed'}`).join('\n')}\n\nFix by adding placeholder URLs?`;
+            
+            if (confirm(confirmMessage)) {
+                let fixedCount = 0;
+                toolsData.tools.forEach(tool => {
+                    if (!tool.url || typeof tool.url !== 'string' || tool.url.trim() === '') {
+                        tool.url = 'https://example.com'; // Placeholder URL
+                        fixedCount++;
+                    }
+                });
+                
+                updateStatus(`🔧 Fixed ${fixedCount} tools with missing URLs (added placeholder URLs)`);
+                renderTools();
+                
+                // Show validation results
+                setTimeout(() => validateAllTools(), 500);
+            }
+        }
+
+        function validateAllTools() {
+            const allErrors = [];
+            
+            toolsData.tools.forEach((tool, index) => {
+                const toolErrors = validateTool(tool, index);
+                allErrors.push(...toolErrors);
+            });
+            
+            // Check for duplicate names across all tools
+            const nameMap = new Map();
+            toolsData.tools.forEach((tool, index) => {
+                if (tool.name) {
+                    if (nameMap.has(tool.name)) {
+                        allErrors.push(`Duplicate name "${tool.name}" found at indices ${nameMap.get(tool.name)} and ${index}`);
+                    } else {
+                        nameMap.set(tool.name, index);
+                    }
+                }
+            });
+            
+            if (allErrors.length === 0) {
+                updateStatus('✅ All tools are valid');
+                hideValidationErrors();
+            } else {
+                updateStatus(`❌ Found ${allErrors.length} validation errors`);
+                showValidationErrors(allErrors);
+                
+                // Scroll to errors
+                document.getElementById('validationErrors').scrollIntoView({ behavior: 'smooth' });
+            }
+            
+            return allErrors.length === 0;
+        }
+
+        function showValidationErrors(errors) {
+            const errorDiv = document.getElementById('validationErrors');
+            
+            if (Array.isArray(errors) && errors.length > 10) {
+                // Show first 10 errors and a summary for large error lists
+                const firstTen = errors.slice(0, 10);
+                const remaining = errors.length - 10;
+                errorDiv.innerHTML = `
+                    <strong>Validation Errors (showing first 10 of ${errors.length}):</strong><br>
+                    ${firstTen.map(error => `• ${error}`).join('<br>')}
+                    <br><strong>... and ${remaining} more errors</strong>
+                `;
+            } else {
+                errorDiv.innerHTML = `
+                    <strong>Validation Errors:</strong><br>
+                    ${(Array.isArray(errors) ? errors : [errors]).map(error => `• ${error}`).join('<br>')}
+                `;
+            }
+            
+            errorDiv.style.display = 'block';
+        }
+
+        function hideValidationErrors() {
+            document.getElementById('validationErrors').style.display = 'none';
+        }
+
+        // Filtering and sorting
+        function filterTools() {
+            const searchTerm = document.getElementById('searchInput').value.toLowerCase();
+            const typeFilter = document.getElementById('typeFilter').value;
+            const skillFilter = document.getElementById('skillFilter').value;
+            const domainFilter = document.getElementById('domainFilter').value;
+            const knowledgebaseFilter = document.getElementById('knowledgebaseFilter').value;
+            const validationFilter = document.getElementById('validationFilter').value;
+            
+            filteredTools = toolsData.tools.filter(tool => {
+                const matchesSearch = !searchTerm || 
+                    tool.name.toLowerCase().includes(searchTerm) ||
+                    tool.description.toLowerCase().includes(searchTerm) ||
+                    (tool.tags && tool.tags.some(tag => tag.toLowerCase().includes(searchTerm)));
+                
+                const matchesType = !typeFilter || tool.type === typeFilter;
+                const matchesSkill = !skillFilter || tool.skillLevel === skillFilter;
+                const matchesDomain = !domainFilter || (tool.domains && tool.domains.includes(domainFilter));
+                const matchesKnowledgebase = !knowledgebaseFilter || 
+                    (knowledgebaseFilter === 'true' && tool.knowledgebase) ||
+                    (knowledgebaseFilter === 'false' && !tool.knowledgebase);
+                
+                // Validation filter
+                let matchesValidation = true;
+                if (validationFilter) {
+                    const hasValidationIssues = validateToolBasic(tool).length > 0;
+                    if (validationFilter === 'valid') {
+                        matchesValidation = !hasValidationIssues;
+                    } else if (validationFilter === 'invalid') {
+                        matchesValidation = hasValidationIssues;
+                    }
+                }
+                
+                return matchesSearch && matchesType && matchesSkill && matchesDomain && matchesKnowledgebase && matchesValidation;
+            });
+            
+            sortTools();
+        }
+
+        function showInvalidToolsFilter(errorCount) {
+            // Set validation filter to show only invalid tools
+            document.getElementById('validationFilter').value = 'invalid';
+            filterTools();
+            
+            // Show helpful message
+            showValidationErrors([
+                `⚠️ Import completed with ${errorCount} validation errors.`,
+                '',
+                'The filter has been set to show only tools with validation issues.',
+                'Please fix these errors before exporting to ensure compatibility with the web application.',
+                '',
+                'Click on each tool marked with ⚠️ to edit and resolve the issues.'
+            ]);
+            
+            updateStatus(`⚠️ Import completed - ${errorCount} tools need fixing`);
+        }
+
+        function clearAllFilters() {
+            document.getElementById('searchInput').value = '';
+            document.getElementById('typeFilter').value = '';
+            document.getElementById('skillFilter').value = '';
+            document.getElementById('domainFilter').value = '';
+            document.getElementById('knowledgebaseFilter').value = '';
+            document.getElementById('validationFilter').value = '';
+            document.getElementById('sortBy').value = 'name';
+            filterTools();
+            updateStatus('All filters cleared');
+        }
+
+        function sortTools() {
+            const sortBy = document.getElementById('sortBy').value;
+            
+            filteredTools.sort((a, b) => {
+                let aVal = a[sortBy] || '';
+                let bVal = b[sortBy] || '';
+                
+                if (Array.isArray(aVal)) aVal = aVal.join(', ');
+                if (Array.isArray(bVal)) bVal = bVal.join(', ');
+                
+                return aVal.toString().localeCompare(bVal.toString());
+            });
+            
+            renderTools();
+        }
+
+        // Rendering
+        function renderTools() {
+            const container = document.getElementById('toolsList');
+            const countElement = document.getElementById('toolCount');
+            if (!filteredTools.length) {
+                countElement.textContent = 0;
+                container.innerHTML = '<div style="text-align: center; padding: 40px; color: var(--text-secondary);">No tools found</div>';
+                return;
+            }
+            
+            countElement.textContent = filteredTools.length;
+            
+            if (filteredTools.length === 0) {
+                container.innerHTML = '<div style="text-align: center; padding: 40px; color: var(--text-secondary);">No tools found</div>';
+                return;
+            }
+            
+            container.innerHTML = filteredTools.map((tool, index) => {
+                // Quick validation check for visual indicator
+                const hasValidationIssues = validateToolBasic(tool).length > 0;
+                
+                return `
+                <div class="tool-item ${selectedTool === tool ? 'selected' : ''}" onclick="selectTool(${index})">
+                    <div class="tool-header">
+                        <div>
+                            <div class="tool-name">
+                                ${hasValidationIssues ? '⚠️ ' : ''}
+                                ${tool.icon || '🔧'} ${tool.name || 'Unnamed Tool'}
+                                ${tool.knowledgebase ? ' 📖' : ''}
+                                ${tool.projectUrl ? ' 🌐' : ''}
+                            </div>
+                            <div class="tool-meta">
+                                <span>${tool.type || 'Unknown'}</span>
+                                <span>${tool.skillLevel || 'Unknown'}</span>
+                                ${tool.license ? `<span>${tool.license}</span>` : ''}
+                                ${tool.accessType ? `<span>${tool.accessType}</span>` : ''}
+                                ${hasValidationIssues ? '<span style="color: var(--danger-color);">⚠️ Issues</span>' : ''}
+                            </div>
+                        </div>
+                        <button class="btn btn-secondary btn-sm" onclick="event.stopPropagation(); editTool(${index})">Edit</button>
+                    </div>
+                    <div class="tool-description">${tool.description || 'No description provided'}</div>
+                    ${tool.domains && tool.domains.length ? `
+                        <div style="margin-top: 8px; font-size: 0.85em; color: var(--text-secondary);">
+                            <strong>Domains:</strong> ${tool.domains.slice(0, 3).join(', ')}${tool.domains.length > 3 ? '...' : ''}
+                        </div>
+                    ` : ''}
+                    ${tool.tags ? `
+                        <div class="tags">
+                            ${tool.tags.slice(0, 5).map(tag => `<span class="tag">${tag}</span>`).join('')}
+                            ${tool.tags.length > 5 ? `<span class="tag">+${tool.tags.length - 5}</span>` : ''}
+                        </div>
+                    ` : ''}
+                </div>
+            `}).join('');
+        }
+
+        function selectTool(index) {
+            selectedTool = filteredTools[index];
+            renderTools();
+        }
+
+        function clearSelection() {
+            selectedTool = null;
+            renderTools();
+        }
+
+        // Statistics
+        function showStats() {
+            const stats = calculateStats();
+            const container = document.getElementById('statsContainer');
+            
+            container.innerHTML = Object.entries(stats).map(([key, value]) => `
+                <div class="stat-item">
+                    <div class="stat-number">${value}</div>
+                    <div>${key}</div>
+                </div>
+            `).join('');
+            
+            container.style.display = container.style.display === 'none' ? 'grid' : 'none';
+        }
+
+        function calculateStats() {
+            const stats = {
+                'Total Tools': toolsData.tools.length,
+                'Software': toolsData.tools.filter(t => t.type === 'software').length,
+                'Methods': toolsData.tools.filter(t => t.type === 'method').length,
+                'Concepts': toolsData.tools.filter(t => t.type === 'concept').length,
+                'With KB': toolsData.tools.filter(t => t.knowledgebase).length,
+                'Open Source': toolsData.tools.filter(t => t.license && t.license !== 'Proprietary').length
+            };
+            
+            return stats;
+        }
+
+        // Bulk operations
+        function toggleBulkPanel() {
+            const panel = document.getElementById('bulkPanel');
+            panel.classList.toggle('active');
+        }
+
+        function bulkRemoveTags() {
+            const tags = document.getElementById('bulkRemoveTagsInput').value
+                .split(',').map(t => t.trim()).filter(t => t);
+            
+            if (tags.length === 0) {
+                updateStatus('Please enter tags to remove');
+                return;
+            }
+            
+            if (!confirm(`Remove tags "${tags.join(', ')}" from all tools?`)) return;
+            
+            let count = 0;
+            toolsData.tools.forEach(tool => {
+                if (tool.tags) {
+                    const before = tool.tags.length;
+                    tool.tags = tool.tags.filter(tag => !tags.includes(tag));
+                    if (tool.tags.length < before) count++;
+                }
+            });
+            
+            updateStatus(`Removed tags from ${count} tools`);
+            document.getElementById('bulkRemoveTagsInput').value = '';
+            renderTools();
+        }
+
+        function bulkRenameTags() {
+            const fromTag = document.getElementById('bulkRenameFrom').value.trim();
+            const toTag = document.getElementById('bulkRenameTo').value.trim();
+            
+            if (!fromTag || !toTag) {
+                updateStatus('Please enter both "from" and "to" tags');
+                return;
+            }
+            
+            if (!confirm(`Rename tag "${fromTag}" to "${toTag}" in all tools?`)) return;
+            
+            let count = 0;
+            toolsData.tools.forEach(tool => {
+                if (tool.tags && tool.tags.includes(fromTag)) {
+                    const index = tool.tags.indexOf(fromTag);
+                    tool.tags[index] = toTag;
+                    count++;
+                }
+            });
+            
+            updateStatus(`Renamed tag in ${count} tools`);
+            document.getElementById('bulkRenameFrom').value = '';
+            document.getElementById('bulkRenameTo').value = '';
+            renderTools();
+        }
+
+        function bulkAssignRelatedConcepts() {
+            const concepts = document.getElementById('bulkConceptsInput').value
+                .split(',').map(t => t.trim()).filter(t => t);
+            
+            if (concepts.length === 0) {
+                updateStatus('Please enter concepts to assign');
+                return;
+            }
+            
+            if (!confirm(`Assign concepts "${concepts.join(', ')}" to all tools?`)) return;
+            
+            const selectedTools = getSelectedTools();
+            selectedTools.forEach(tool => {
+                if (!tool.related_concepts) tool.related_concepts = [];
+                concepts.forEach(concept => {
+                    if (!tool.related_concepts.includes(concept)) {
+                        tool.related_concepts.push(concept);
+                    }
+                });
+            });
+            
+            updateStatus(`Assigned concepts to ${selectedTools.length} tools`);
+            document.getElementById('bulkConceptsInput').value = '';
+            renderTools();
+        }
+
+        function bulkAssignRelatedSoftware() {
+            const software = document.getElementById('bulkSoftwareInput').value
+                .split(',').map(t => t.trim()).filter(t => t);
+            
+            if (software.length === 0) {
+                updateStatus('Please enter software to assign');
+                return;
+            }
+            
+            if (!confirm(`Assign software "${software.join(', ')}" to all tools?`)) return;
+            
+            const selectedTools = getSelectedTools();
+            selectedTools.forEach(tool => {
+                if (!tool.related_software) tool.related_software = [];
+                software.forEach(sw => {
+                    if (!tool.related_software.includes(sw)) {
+                        tool.related_software.push(sw);
+                    }
+                });
+            });
+            
+            updateStatus(`Assigned software to ${selectedTools.length} tools`);
+            document.getElementById('bulkSoftwareInput').value = '';
+            renderTools();
+        }
+
+        function getSelectedTools() {
+            // For now, return all tools. Could be enhanced to support multi-selection
+            return toolsData.tools;
+        }
+
+        // YAML operations
+        function importYAML(event) {
+            const file = event.target.files[0];
+            if (!file) return;
+            
+            const reader = new FileReader();
+            reader.onload = function(e) {
+                try {
+                    const yamlContent = e.target.result;
+                    const parsed = jsyaml.load(yamlContent);
+                    
+                    if (!parsed || !parsed.tools || !Array.isArray(parsed.tools)) {
+                        alert('Invalid YAML format: missing or invalid tools array');
+                        return;
+                    }
+                    
+                    // Show import summary and confirm
+                    const importSummary = `
+Import Summary:
+• ${parsed.tools.length} tools
+• ${parsed.tools.filter(t => t.type === 'software').length} software
+• ${parsed.tools.filter(t => t.type === 'method').length} methods  
+• ${parsed.tools.filter(t => t.type === 'concept').length} concepts
+• ${parsed.tools.filter(t => t.knowledgebase).length} with knowledgebase
+
+This will replace all current data. Continue?`;
+
+                    if (!confirm(importSummary)) {
+                        return;
+                    }
+                    
+                    // Import the data
+                    toolsData = parsed;
+                    
+                    // Ensure required structure exists
+                    if (!toolsData.domains) toolsData.domains = [];
+                    if (!toolsData.phases) toolsData.phases = [];
+                    if (!toolsData['domain-agnostic-software']) toolsData['domain-agnostic-software'] = [];
+                    if (!toolsData.scenarios) toolsData.scenarios = [];
+                    if (!toolsData.skill_levels) toolsData.skill_levels = {};
+                    
+                    populateFilters();
+                    
+                    // Check for validation errors after import
+                    updateStatus('Validating imported data...');
+                    
+                    const validationErrors = [];
+                    toolsData.tools.forEach((tool, index) => {
+                        const toolErrors = validateTool(tool, index);
+                        validationErrors.push(...toolErrors);
+                    });
+                    
+                    // Check for duplicate names
+                    const nameMap = new Map();
+                    toolsData.tools.forEach((tool, index) => {
+                        if (tool.name) {
+                            if (nameMap.has(tool.name)) {
+                                validationErrors.push(`Duplicate name "${tool.name}" found at indices ${nameMap.get(tool.name)} and ${index}`);
+                            } else {
+                                nameMap.set(tool.name, index);
+                            }
+                        }
+                    });
+                    
+                    if (validationErrors.length > 0) {
+                        // Show tools with validation issues
+                        showInvalidToolsFilter(validationErrors.length);
+                    } else {
+                        // Everything is valid
+                        hideValidationErrors();
+                        renderTools();
+                        updateStatus(`✅ Successfully imported ${toolsData.tools.length} tools - all valid`);
+                    }
+                    
+                } catch (error) {
+                    alert('Error parsing YAML: ' + error.message);
+                    updateStatus('❌ YAML parsing failed');
+                }
+            };
+            reader.readAsText(file);
+        }
+
+        function exportYAML() {
+            // Check for validation errors before export
+            const allErrors = [];
+            toolsData.tools.forEach((tool, index) => {
+                const toolErrors = validateTool(tool, index);
+                allErrors.push(...toolErrors);
+            });
+            
+            if (allErrors.length > 0) {
+                const confirmExport = confirm(`⚠️ Warning: Found ${allErrors.length} validation errors in the database.\n\nExporting this data may cause issues when importing into the web application.\n\nWould you like to:\n• Click OK to export anyway\n• Click Cancel to fix errors first (recommended)`);
+                
+                if (!confirmExport) {
+                    // Set filter to show invalid tools and highlight the issues
+                    showInvalidToolsFilter(allErrors.length);
+                    return;
+                }
+            }
+            
+            try {
+                // Process tools to ensure proper description formatting
+                const processedData = {
+                    ...toolsData,
+                    tools: toolsData.tools.map(tool => {
+                        const processedTool = { ...tool };
+                        
+                        // Format description with folded style for multiline
+                        if (processedTool.description && processedTool.description.length > 60) {
+                            // Keep the description as is, jsyaml will handle the formatting
+                        }
+                        
+                        // Clean up empty arrays and null values
+                        Object.keys(processedTool).forEach(key => {
+                            if (Array.isArray(processedTool[key]) && processedTool[key].length === 0) {
+                                delete processedTool[key];
+                            }
+                            if (processedTool[key] === null || processedTool[key] === undefined || processedTool[key] === '') {
+                                delete processedTool[key];
+                            }
+                        });
+                        
+                        return processedTool;
+                    })
+                };
+                
+                const yamlContent = jsyaml.dump(processedData, {
+                    indent: 2,
+                    lineWidth: 80,
+                    noRefs: true,
+                    sortKeys: false,
+                    styles: {
+                        '!!str': 'fold'  // Use folded style for long strings
+                    },
+                    replacer: (key, value) => {
+                        // Handle description field specially
+                        if (key === 'description' && typeof value === 'string' && value.length > 60) {
+                            return value;
+                        }
+                        return value;
+                    }
+                });
+                
+                // Post-process to ensure descriptions use >- format
+                const lines = yamlContent.split('\n');
+                const processedLines = [];
+                let inDescription = false;
+                
+                for (let i = 0; i < lines.length; i++) {
+                    const line = lines[i];
+                    
+                    if (line.trim().startsWith('description:')) {
+                        if (line.includes('"') || line.includes("'")) {
+                            // Replace quoted description with folded style
+                            const indent = line.match(/^(\s*)/)[1];
+                            processedLines.push(`${indent}description: >-`);
+                            
+                            // Extract the description content
+                            let descContent = line.substring(line.indexOf(':') + 1).trim();
+                            if (descContent.startsWith('"') || descContent.startsWith("'")) {
+                                descContent = descContent.slice(1, -1);
+                            }
+                            
+                            // Split and reformat the description
+                            const words = descContent.split(' ');
+                            let currentLine = '';
+                            const descIndent = indent + '  ';
+                            
+                            words.forEach(word => {
+                                if (currentLine.length + word.length > 76) {
+                                    if (currentLine) {
+                                        processedLines.push(descIndent + currentLine.trim());
+                                    }
+                                    currentLine = word + ' ';
+                                } else {
+                                    currentLine += word + ' ';
+                                }
+                            });
+                            
+                            if (currentLine.trim()) {
+                                processedLines.push(descIndent + currentLine.trim());
+                            }
+                        } else {
+                            processedLines.push(line);
+                        }
+                    } else {
+                        processedLines.push(line);
+                    }
+                }
+                
+                const finalYaml = processedLines.join('\n');
+                
+                const blob = new Blob([finalYaml], { type: 'text/yaml' });
+                const url = URL.createObjectURL(blob);
+                const a = document.createElement('a');
+                a.href = url;
+                a.download = 'tools.yaml';
+                a.click();
+                URL.revokeObjectURL(url);
+                
+                updateStatus(allErrors.length > 0 ? 
+                    `⚠️ YAML exported with ${allErrors.length} validation errors` : 
+                    '✅ YAML exported successfully'
+                );
+            } catch (error) {
+                alert('Error exporting YAML: ' + error.message);
+            }
+        }
+
+        // Initialize on load
+        document.addEventListener('DOMContentLoaded', init);
+
+        // Keyboard shortcuts
+        document.addEventListener('keydown', function(event) {
+            // Ctrl/Cmd + S to save
+            if ((event.ctrlKey || event.metaKey) && event.key === 's') {
+                event.preventDefault();
+                saveTool();
+            }
+            
+            // Ctrl/Cmd + N to add new tool
+            if ((event.ctrlKey || event.metaKey) && event.key === 'n') {
+                event.preventDefault();
+                addNewTool();
+            }
+            
+            // Ctrl/Cmd + E to export
+            if ((event.ctrlKey || event.metaKey) && event.key === 'e') {
+                event.preventDefault();
+                exportYAML();
+            }
+            
+            // Alt + V to validate all (changed from Ctrl+V to avoid paste conflict)
+            if (event.altKey && event.key === 'v') {
+                event.preventDefault();
+                validateAllTools();
+            }
+            
+            // Escape to clear selection/form
+            if (event.key === 'Escape') {
+                clearSelection();
+                clearForm();
+            }
+            
+            // Ctrl/Cmd + F to focus search
+            if ((event.ctrlKey || event.metaKey) && event.key === 'f') {
+                event.preventDefault();
+                document.getElementById('searchInput').focus();
+            }
+        });
+
+        // Hide autocomplete when clicking outside
+        document.addEventListener('click', function(event) {
+            if (!event.target.closest('.autocomplete-container')) {
+                document.querySelectorAll('.autocomplete-dropdown').forEach(dropdown => {
+                    dropdown.style.display = 'none';
+                });
+            }
+        });
+    </script>
+</body>
+</html>
\ No newline at end of file