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      "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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      "name": "RegRipper",
      "content": "regripper windows-registry-analyse-framework mit über 300 spezialisierten plugins für automatisierte artefakt-extraktion: usb-device-historie, installierte software-timestamps, user-login-activity, malware-persistence-mechanisms. profile-system gruppiert plugins systematisch nach untersuchungstyp: malware-detection, user-activity-reconstruction, network-configuration-analysis. timeline-plugins generieren chronologische registry-change-sequences, automatische korrelation zwischen verschiedenen hive-files. plugin-dokumentation erklärt forensische relevanz und interpretation jedes extrahierten artefakts detailliert. active-community teilt kontinuierlich neue plugins für emerging threats und aktuelle windows-versionen. 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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        "domains": [
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        "phases": [
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      "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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      "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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        "domains": [
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        "phases": [
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        "tags": [
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      "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",
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      "name": "RDP Cache Analyse",
      "content": "rdp cache analyse systematische extraktion von rdp-cache-dateien aus  c:\\users\\xxx\\appdata\\local\\microsoft\\terminal server client\\cache für  lateral-movement-nachweis. 64x64-bitmap-fragmente mit speziellen tools  extrahieren und zu bildschirm-screenshots rekonstruieren. registry-analyse  von mru-einträgen unter hkey_current_user\\software\\microsoft\\terminal  server client\\default für rdp-server-historie und usernamehint-extraktion  aus \\servers-schlüssel. korrelation mit event-logs für vollständige  rdp-timeline. rdp-cache lateral-movement terminal-server bitmap-analysis mru-analysis apt-investigation network-intrusion cache-forensics incident-response network-forensics malware-analysis examination analysis",
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      "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": [
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          "malware-analysis"
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        "phases": [
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        "tags": [
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      "content": "windows event log forensische analyse dekodierung binärer evt/evtx-logs durch korrelation mit message-table- ressourcen in system-dlls. event-id-mapping über registry-einträge in  hklm\\system\\currentcontrolset\\services\\eventlog für template-zuordnung.  wichtige event-ids: 4624/4625 (logon success/fail), 4778/4779 (rdp  connect/disconnect), 7034-7045 (service-events). timeline-erstellung  mit plaso, xml-export für strukturierte analyse, korrelation zwischen  security.evtx, system.evtx und application.evtx für vollständige  systemaktivitäts-rekonstruktion. event-logs evt-analysis evtx-analysis timeline-analysis logon-analysis rdp-sessions service-analysis message-tables xml-parsing incident-response static-investigations network-forensics examination analysis",
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        "domains": [
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        "phases": [
          "examination",
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        "tags": [
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    {
      "id": "tool_Windows_Passwort_Umgehung_via_Utilman_Ersetzung",
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      "name": "Windows Passwort-Umgehung via Utilman-Ersetzung",
      "content": "windows passwort-umgehung via utilman-ersetzung boot mit linux-live-system (z.b. kali linux), mount der windows-partition,  backup von c:\\windows\\system32\\utilman.exe erstellen, utilman.exe durch  cmd.exe überschreiben, windows-neustart, klick auf erleichterte bedienung  (uhr-symbol) öffnet cmd mit systemrechten, \"net user username neues_passwort\"  eingeben für passwort-reset. nach anmeldung original-utilman.exe  wiederherstellen. funktioniert bei allen windows-versionen ohne bitlocker. password-bypass system-access utilman-replacement live-boot administrator-rights net-user-command linux-tools incident-response static-investigations data-collection",
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      "name": "ChipWhisperer",
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      "id": "tool_Android_Logical_Imaging",
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      "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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        "domains": [
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        "phases": [
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      "name": "hashcat",
      "content": "hashcat knackt passwort-hashes durch gpu-beschleunigte brute-force-angriffe für credential-recovery in ermittlungen. unterstützt über 300 hash-formate von bcrypt bis kerberos mit flexiblen angriffsmodi. opencl-backend nutzt cpus, gpus und fpgas parallel für maximale performance. dictionary-, mask- und hybrid-attacken decken verschiedene passwort-strategien ab. unverzichtbar für credential-audits und incident-response bei passwort-diebstahl. password-recovery gpu-acceleration cracking scenario:credential_theft incident-response fraud-investigation analysis",
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        "domains": [
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        "tags": [
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    {
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      "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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      "content": "networkminer pcap-analyzer extrahiert dateien, credentials und host-informationen aus netzwerk-traffic \n  ohne paket-level-details. automatische extraktion von bildern, dokumenten, executables aus \n  http, ftp, tftp, smb-traffic. credentials-harvesting findet passwörter in klartext-protokollen. \n  host-inventar mit os-fingerprinting, offenen ports, services. dns-resolution-timeline zeigt \n  domain-lookups. frame-reassembly auch bei packet-loss. gui file-reconstruction pcap-capture session-reconstruction dns-resolution triage credential-extraction os-fingerprinting keyword-search artifact-extraction cleartext-protocols frame-reassembly network-analysis packet-analysis network-forensics incident-response static-investigations malware-analysis network-forensics examination analysis",
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      "metadata": {
        "domains": [
          "fraud-investigation",
          "network-forensics"
        ],
        "phases": [
          "analysis"
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        "tags": [
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        "skillLevel": "intermediate",
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    },
    {
      "id": "tool_GrayKey",
      "type": "tool",
      "name": "GrayKey",
      "content": "graykey grayshift technologies entwickelt die kontroverse ios-forensik-lösung  für strafverfolgung - eine dedizierte hardware-box die iphones durch  zero-day-exploits entsperrt. die lightning-kabel-verbindung umgeht  apples usb-restricted-mode und secure-enclave-schutz. zwei varianten:  graykey-on-premises für lokale nutzung, graykey-connected mit cloud- updates für neueste exploits. unterstützt ios 7-17 mit wechselnder  geräte-coverage je nach verfügbaren exploits. die brute-force-engine  knackt 4-6 stellige pins in stunden bis tagen. besonders wertvoll:  partial-extraction auch bei verschlüsselten geräten, afu/bfu-state- analysis, keychain-decryption. der preis (30.000€+) und ethische  bedenken limitieren auf strafverfolgung. regelmäßige exploits werden  durch ios-updates zunichte gemacht - ein katz-und-maus-spiel zwischen  apple und grayshift. standard-tool in us-polizei-departments trotz  rechtlicher und ethischer kontroversen um überwachungstechnologie. ios-unlocking zero-day-exploits hardware-solution brute-force keychain-extraction law-enforcement mobile-forensics data-collection",
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        "domains": [
          "mobile-forensics"
        ],
        "phases": [
          "data-collection"
        ],
        "tags": [
          "ios-unlocking",
          "zero-day-exploits",
          "hardware-solution",
          "brute-force",
          "keychain-extraction",
          "law-enforcement"
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        "skillLevel": "advanced",
        "type": "tool"
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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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        "domains": [
          "static-investigations",
          "incident-response"
        ],
        "phases": [
          "examination",
          "analysis"
        ],
        "tags": [
          "encryption-analysis",
          "pgp-analysis",
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        "skillLevel": "advanced",
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    {
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      "name": "Volume Shadow Copy Forensische Analyse",
      "content": "volume shadow copy forensische analyse vss-snapshot-auflistung mit \"vssadmin list shadows /for=c:\", zugriff  via mklink-verknüpfung: \"mklink /d c:\\vss-test  \\\\?\\globalroot\\device\\harddiskvolumeshadowcopy4\\\". imaging mit dd:  \"dd if=\\\\.\\harddiskvolumeshadowcopy4 of=shadowcopy.dd\". x-ways-integration  über dateiüberblick erweitern → gründliche dateisystem-datenstruktur-suche  → sc-attribut-filterung für shadow-copy-dateien. copy-on-write-prinzip:  nur änderungen seit letztem snapshot gespeichert. gelöschte dateien  bleiben in snapshots erhalten. shadow-copy-analysis vss-forensics snapshot-recovery vssadmin-commands mklink-access copy-on-write historical-analysis deleted-file-recovery x-ways-integration sc-filtering static-investigations incident-response fraud-investigation examination analysis",
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      "content": "osquery sql-basiertes endpoint-telemetry-system exposiert os-state als querybare tables: \n  laufende prozesse, registry-keys, scheduled-tasks, network-connections. fleet-manager \n  orchestriert hunting-queries über tausende endpoints parallel, event-framework \n  monitored real-time-changes für persistence-detection. custom-tables erweitern \n  für application-logs und cloud-instance-metadata-correlation. endpoint sql incident-response examination",
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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": [
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        "phases": [
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      "content": "adb die \"android debug bridge\" ist grundsätzlich ein werkzeug für android-entwickler, wird aber auch gern in der mobile-forensik genutzt.\nsie ermöglicht bei android-geräten forensische datenextraktion über usb oder netzwerk teilweise ohne root-zugriff, besonders einfach bei älteren geräten. erstellt logische backups von app-daten, installiert forensische analysewerkzeuge. cli mobile device-management extraction mobile-forensics incident-response data-collection examination",
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      "content": "linux benutzer- und rechteverwaltung systematische analyse von /etc/passwd, /etc/shadow und /etc/group für  user-activity-reconstruction. zahlencodierung (chmod 755) und  symbolic-notation (rwxr-xr-x) für dateiberechtigungen. includes setuid,  setgid und sticky-bit analyse für privilege-escalation-detection. user-analysis permission-analysis privilege-escalation system-metadata access-control incident-response static-investigations malware-analysis examination analysis",
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      "type": "tool",
      "name": "Thorium",
      "content": "thorium cisas portable hybrid-analyse-tool für die schnelle untersuchung von windows- systemen auf bösartige aktivitäten. scannt mit kuratierten yara- und sigma-regeln arbeitsspeicher, prozesse, dateisystem, netzwerkverbindungen und systemprotokolle. ideal für schnelle triage im incident response, sowohl live als auch auf gemounteten images. die ausgabe erfolgt in strukturierten json-reports. cli - triage - fast-scan - ioc-matching - yara-scan - sigma-rules - memory-analysis - process-analysis - filesystem-scanning - log-analysis - portable incident-response malware-analysis examination analysis",
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        "domains": [
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        "phases": [
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        "tags": [
          "cli - triage - fast-scan - ioc-matching - yara-scan - sigma-rules - memory-analysis - process-analysis - filesystem-scanning - log-analysis - portable"
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        "skillLevel": "intermediate",
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      "content": "sherloq python-basiertes image-forensics-toolkit kombiniert klassische steganography-detection-techniken mit modernen computer-vision-algorithmen für manipulation-analysis. lsb-steganography-detection, palette-analysis, dct-coefficient-examination und statistical-tests identifizieren hidden-data in images. error-level-analysis (ela) und noise-pattern-examination zeigen compression-artifacts und edit-traces in jpeg-files. heatmap-visualizations und histogram-differential-analysis markieren manipulation-hotspots automatisch. metadata-inconsistency-detection vergleicht exif-data mit image-content für authenticity-verification. plugin-architecture integriert externe tools: zsteg, binwalk, exiftool für comprehensive-image-analysis-pipeline. essential-complement zu hex-editors und reverse-engineering-tools für multimedia-forensics. gui image-forensics steganography lsb-extraction histogram-analysis plugin-support malware-analysis static-investigations examination analysis",
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      "metadata": {
        "domains": [
          "malware-analysis",
          "static-investigations"
        ],
        "phases": [
          "examination",
          "analysis"
        ],
        "tags": [
          "gui",
          "image-forensics",
          "steganography",
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    {
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      "name": "Shell Bags Analyse",
      "content": "shell bags analyse ordnerzugriffs-historie aus usrclass.dat\\local settings\\software\\ microsoft\\windows\\shell\\bags (explorer) und ntuser.dat\\software\\ microsoft\\windows\\shell\\bagmru (desktop). jeder bag enthält  folder-settings und zugriffs-timestamps. bagmru zeigt chronologische  mru-liste mit letzten ordner-öffnungen. nachweis gelöschter verzeichnisse  durch registry-persistenz nach folder-deletion. netzwerk-share-zugriffe  und usb-pfade werden ebenfalls geloggt. shellbags-analysis folder-access network-shares deleted-directories usrclass-dat ntuser-dat explorer-forensics access-timeline data-exfiltration static-investigations incident-response fraud-investigation examination analysis",
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      "metadata": {
        "domains": [
          "static-investigations",
          "incident-response",
          "fraud-investigation"
        ],
        "phases": [
          "examination",
          "analysis"
        ],
        "tags": [
          "shellbags-analysis",
          "folder-access",
          "network-shares",
          "deleted-directories",
          "usrclass-dat",
          "ntuser-dat",
          "explorer-forensics",
          "access-timeline",
          "data-exfiltration"
        ],
        "skillLevel": "intermediate",
        "type": "tool"
      }
    },
    {
      "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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      "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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        "domains": [
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        "phases": [
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      "type": "tool",
      "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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        "phases": [
          "analysis",
          "reporting"
        ],
        "tags": [
          "web-interface",
          "blockchain-analysis",
          "commercial",
          "visualization",
          "anomaly-detection",
          "threat-scoring",
          "clustering-analysis",
          "compliance-screening",
          "transaction-tracing",
          "risk-assessment",
          "multi-blockchain",
          "api-integration"
        ],
        "skillLevel": "intermediate",
        "type": "tool"
      }
    },
    {
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      "name": "WebCacheView",
      "content": "webcacheview analysiert internet explorer webcache-datenbanken (webcachev*.dat) für browser- forensik ab ie10/edge. extrahiert historie, downloads, cookies und cache-einträge aus ese-database-format. besonders wertvoll: lokale datei-zugriffe über file:///- protocol, inprivate-session-detection, timeline-export für korrelations-analyse und strukturierte datenausgabe für forensische dokumentation. gui web-cache-analysis internet-explorer edge-browser ese-database download-history cookies-analysis file-protocol inprivate-detection nirsoft static-investigations incident-response fraud-investigation examination analysis",
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          "wiping",
          "logging",
          "cli"
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        "skillLevel": "intermediate",
        "type": "tool"
      }
    },
    {
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      "name": "libpff/pffexport",
      "content": "libpff/pffexport open-source-bibliothek für pst/ost-forensik mit detaillierter personal-folder- file-analyse und deleted-item-recovery. exportiert e-mails, kontakte, kalender aus microsoft-outlook-dateien ohne outlook-installation. besonders wertvoll: low-level-mapi-property-zugriff, gefälschte e-mail-detection durch metadaten- analyse, cross-platform-support und integration in forensische toolchains. cli pst-analysis ost-forensics email-forensics deleted-recovery mapi-properties outlook-forensics cross-platform libyal falsification-detection static-investigations fraud-investigation incident-response examination analysis",
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      "metadata": {
        "domains": [
          "static-investigations",
          "fraud-investigation",
          "incident-response"
        ],
        "phases": [
          "examination",
          "analysis"
        ],
        "tags": [
          "cli",
          "pst-analysis",
          "ost-forensics",
          "email-forensics",
          "deleted-recovery",
          "mapi-properties",
          "outlook-forensics",
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          "falsification-detection"
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        "skillLevel": "advanced",
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      "id": "tool_macOS_Auto_Mount_Prevention",
      "type": "tool",
      "name": "macOS Auto-Mount Prevention",
      "content": "macos auto-mount prevention 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. write-blocker disk-arbitrator system-modification contamination-prevention sudo-required manual-mounting incident-response static-investigations data-collection",
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      "content": "photorec signatur-basiertes file-carving-tool rekonstruiert gelöschte daten durch header/footer-pattern-matching unabhängig vom dateisystem-zustand oder korruption des dateisystems. unterstützt über 300 datei-formate: bilder (jpeg, png, tiff), dokumente (pdf, doc, xls), archive (zip, rar), videos (avi, mp4) und selbstdefinierte dateisignaturen. read-only gewährleistet forensische integrität, funktioniert bei beschädigten, formatierten oder korrupten dateisystemen. paranoid-mode scannt jeden einzelnen sektor für maximale anzahl wiederhergestellter daten. integrierbar mit software wie testdisk. gui file-carving deleted-file-recovery scenario:file_recovery signature-analysis cross-platform filesystem-agnostic multimedia-recovery partition-recovery read-only-mode batch-capable custom-signatures incident-response static-investigations fraud-investigation examination data-collection",
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        "domains": [
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          "static-investigations",
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        "phases": [],
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          "signature-updates",
          "tool-collection",
          "documentation-rich",
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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": [
          "network-forensics"
        ],
        "phases": [
          "examination",
          "analysis"
        ],
        "tags": [
          "pcap-analysis",
          "flow-extraction",
          "timeline-view",
          "credential-extraction",
          "file-reconstruction",
          "batch-processing"
        ],
        "skillLevel": "intermediate",
        "type": "tool"
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    },
    {
      "id": "tool_Last_Visited_MRU_Forensische_Analyse",
      "type": "tool",
      "name": "Last-Visited MRU Forensische Analyse",
      "content": "last-visited mru forensische analyse application-zu-path-korrelation aus ntuser.dat\\software\\microsoft\\ windows\\currentversion\\explorer\\comdlg32\\lastvisitedmru (xp) bzw.  lastvisitedpidlmru (win7+). binary-data-format: executable-name +  opened-path-string. beispiel: notepad.exe → c:\\users\\rob\\desktop  zeigt von wo notepad gestartet wurde. mru-reihenfolge = chronologische  app-launches mit file-dialog-usage. malware-launch-directory- attribution für portable-executables oder removable-media-starts. lastvisited-mru application-paths executable-tracking launch-directories malware-origins portable-apps execution-timeline path-correlation startup-analysis incident-response malware-analysis static-investigations examination analysis",
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      "name": "Aircrack-ng",
      "content": "aircrack-ng umfassende wlan-forensik-suite analysiert 802.11-verkehr und identifiziert sicherheitsverletzungen in drahtlosen netzwerken. airodump-ng sammelt pakete und deckt versteckte netzwerke auf, aireplay-ng injiziert deauth-frames für handshake-erfassung. wep-schlüssel-rekonstruktion in minuten, wpa2-psk-recovery mit dictionary-angriffen. rogue-access-point-erkennung und client-probing-analyse für bewegungsprofile. ein sehr etabliertes tool, das immer noch seine relevanz vor allem auch im pentesting besitzt. cli wireless packet-capture injection cracking scenario:credential_theft network-forensics incident-response data-collection analysis",
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        "domains": [
          "incident-response",
          "static-investigations",
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        "phases": [
          "data-collection",
          "examination",
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        "tags": [
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      "name": "dd",
      "content": "dd unix-standard für bit-genaue datenträger-kopien seit 1974 mit absolut minimalistischem system-footprint für kontaminationsfreie akquisition. wichtigste forensische parameter: conv=noerror,sync für graceful bad-sector-handling, bs=4m für optimale i/o-performance, status=progress für fortschrittsanzeige. pipe-capability zu hash-tools ermöglicht simultane verifizierung ohne intermediate-storage. funktioniert auf jedem unix-system ohne installation oder dependencies. zero-kontamination durch pure-read-access ohne metadata-modifikation. network-imaging via netcat für remote-acquisition über ssh-tunnels. split-output für fat32-limits, signal-handling für graceful interruption und resume-capability. 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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      "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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      "content": "osfmount das kostenlose windows-tool mountet forensik-images als virtuelle laufwerke für komfortable analyse ohne vollinstallation einer forensik-suite. unterstützt raw (dd), e01 (encase), aff, vhd, vmdk und weitere formate. write-cache-modus schützt original-images vor veränderung. ram-disk-feature für performance bei kleinen images. die plugin-architektur erweitert für exotische formate. besonders praktisch: partition-selection bei multi-partition-images, automatische offset-erkennung, unterstützung für disk- und memory-images. der image-conversion-wizard wandelt zwischen formaten. integration mit windows explorer für gewohnte navigation. mounting von volume shadow copies. die freeware-lizenz macht es zur ersten wahl für budget- bewusste teams. limitiert bei verschlüsselten images, glänzt bei standard-aufgaben. perfekt für schnelle triage oder wenn kommerzielle tools nicht verfügbar sind. gui virtual-machine ewf-support raw-image-support write-blocker triage format-conversion vss-support partition-selection ram-disk explorer-integration free-tool incident-response static-investigations examination",
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      "name": "GRR Rapid Response",
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        "domains": [
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        "domains": [
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        "phases": [
          "examination",
          "analysis"
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        "tags": [
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    {
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      "type": "tool",
      "name": "Aftermath",
      "content": "aftermath jamfs open-source-software für macos-forensik sammelt systematisch artefakte, ohne zuvor ein full-system-image zu ziehen. optimiert für incident-response mit minimalem systemeingriff. extrahiert kritische daten: laufende prozesse, netzwerkverbindungen, installierte software, persistenzmechanismen. besonders wertvoll: unified-log-parser für system-events, browser-artefakte aller größeren 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-sicherheitsfeatures: 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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      "content": "hdiutil 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. cli disk-imaging mounting apfs compression encryption checksum sparse-images incident-response static-investigations data-collection examination",
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        "domains": [
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        "phases": [
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        "tags": [
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      "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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        "domains": [
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        "phases": [
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        "tags": [
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      "name": "Prefetch-Dateien Forensische Analyse",
      "content": "prefetch-dateien forensische analyse programm-execution-nachweis durch c:\\windows\\prefetch\\*.pf-analyse.  dateiformat: exename-hash.pf mit last-execution-time (modification-date),  run-count, referenced-files/directories. creation-time = erste ausführung.  kapazitäten: 128 files (xp/7), 1024 files (win8+). hash basiert auf  executable-path, nicht content - path-änderung erzeugt neue pf-datei.  prefetch-status: registry hklm\\system\\currentcontrolset\\control\\ session manager\\memory management\\prefetchparameters. prefetch-analysis program-execution execution-frequency last-execution-time file-handles malware-evidence performance-cache hash-calculation capacity-limits incident-response malware-analysis static-investigations examination analysis",
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        "domains": [
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        "phases": [
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        "tags": [
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        "skillLevel": "advanced",
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      "id": "tool_Strings",
      "type": "tool",
      "name": "Strings",
      "content": "strings extrahiert lesbare textfragmente aus binärdateien für initiale malware-analyse und artefakt-triage ohne aufwändige reverse-engineering-tools. findet command-and-control-urls, hardcodierte passwörter, dateipfade und debug-nachrichten in verschleierten oder gepackten malware-samples. unicode-unterstützung für internationale zeichensätze, offset-anzeige ermöglicht hex-editor-korrelation. pipe-integration mit grep und awk für erweiterte mustersuche. unverzichtbar für quick-wins bei kryptischen binärdateien. 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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      "metadata": {
        "domains": [
          "network-forensics"
        ],
        "phases": [
          "analysis"
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        "tags": [
          "nsm",
          "scripting"
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        "skillLevel": "advanced",
        "type": "tool"
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    {
      "id": "tool_JTAG_Analyse",
      "type": "tool",
      "name": "JTAG-Analyse",
      "content": "jtag-analyse direkter hardware-schnittstellenzugriff auf eingebettete systeme über joint test action group debug-schnittstelle für firmware-extraktion und systemanalyse. boundary-scan-verfahren identifiziert verfügbare jtag-pins auch bei undokumentierten geräten durch systematische pin-tests. flash-speicher-abzüge umgehen software-schutzmaßnahmen und extrahieren komplette firmware-abbilder inklusive verschlüsselter bereiche. \ndebug-port-ausnutzung ermöglicht live-speicherzugriff, register-manipulation und code-injection in laufende systeme. besonders kritisch für iot-forensik: router-hintertüren, intelligente geräte-manipulationen, industriesteuerungsanlagen-kompromittierungen. kombiniert mit chip-off-techniken für maximale datenwiederherstellung bei sicherheitsgehärteten geräten. standard-methodik für hardware-forensik. hardware-interface firmware-extraction debug-access boundary-scan embedded-analysis iot-forensics flash-memory system-exploitation hardware-forensics pin-identification ics-forensics mobile-forensics static-investigations data-collection examination",
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      "content": "thumbcache viewer windows-thumbnail-cache-analysis-tool extrahiert miniaturansichten aller betrachteten images aus versteckten thumbcache_*.db-dateien für deleted-content-recovery. beweist unwiderlegbar image-presence auf system auch nach original-file-deletion durch thumbnail-persistence in cache-database. multiple-resolution-support (32, 96, 256, 1024 pixel) zeigt verschiedene detail-levels und access-patterns. exif-metadata-preservation in thumbnails ermöglicht gps-location-recovery und camera-identification. timestamp-analysis rekonstruiert image-viewing-timeline und user-activity-patterns. batch-processing-mode für multiple-cache-files, hash-export für csam-database-matching und content-correlation. html-report-generation für court-presentation mit embedded-thumbnails und forensic-metadata-tables. 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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        "phases": [
          "examination",
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        "tags": [
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      "content": "plaso (log2timeline) industrieller timeline-generator extrahiert zeitstempel aus hunderten heterogener artefakt-typen für lückenlose digital-activity-rekonstruktion komplexer incidents. spezialisierte parser für windows event logs, registry-hives, prefetch-files, browser-history, mobile-app-databases, cloud-service-logs und linux-system-logs. storage-architektur verarbeitet massendaten effizient durch sqlite-backend und memory-optimization. zeitstempel-normalisierung konvertiert verschiedene formate und zeitzonen automatisch in utc für einheitliche timeline. analysis-plugins erkennen anti-forensik-techniken wie timestomping und clock-manipulation. modulare parser-architektur ermöglicht einfache erweiterung für proprietäre oder neue log-formate. 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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      "name": "ShellBags Explorer",
      "content": "shellbags explorer gui-basierte shellbags-analyse für windows-folder-access-rekonstruktion durch registry-hive-parsing von usrclass.dat und ntuser.dat. visualisiert verzeichnisstrukturen mit first/last-interaction-timestamps, zeigt gelöschte ordner-zugriffe und externe device-verbindungen. besonders wertvoll: timeline-export für korrelations-analyse, batch-processing mehrerer hives, detaillierte shellbag-properties für forensische dokumentation. gui shellbags-analysis folder-access registry-analysis timeline-creation deleted-directories external-devices batch-processing eric-zimmerman scenario:file_recovery static-investigations incident-response fraud-investigation examination analysis",
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      "content": "dissect python-framework abstrahiert windows- und linux-speicherabbilder in virtuelle dateisystem-objekte ohne vorherige profil-definition oder os-spezifische konfiguration. modularer hypervisor-layer ermöglicht simultane multi-image-analyse für großflächige incident-response-scenarios mit einheitlicher api. zero-copy-architektur beschleunigt memory-queries auf multi-gb-images durch direkten memory-mapping ohne intermediate-files. plugin-system dekodiert windows-strukturen: ptes, handle-tables, apc-queues und kernel-objects automatisch. besonders effizient bei batch-processing mehrerer memory-dumps parallel durch threading-optimierung und resource-sharing zwischen analyse-instanzen. cli memory-analysis plugin-support python-library zero-copy profile-less incident-response malware-analysis static-investigations examination analysis",
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        "phases": [
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      "content": "linkurious visualisiert komplexe beziehungsnetzwerke in betrugs- und geldwäsche-ermittlungen durch intuitive graph-analyse-oberfläche. überlagert neo4j-datenbanken mit leistungsstarken filtern und geo-ansichten für versteckte verbindungen. zeitachsen-analysen zeigen entwicklung krimineller netzwerke über zeit. automatisierungsvorlagen beschleunigen wiederkehrende untersuchungen. erstellt aussagekräftige beweisgrafiken für gerichtspräsentationen. speziell für finanzermittlungen und anti-geldwäsche-compliance entwickelt. graph-visualisierung link-analysis aml fraud fraud-investigation network-forensics incident-response analysis reporting",
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        "domains": [
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        "phases": [
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        "tags": [
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      "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": "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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      "name": "md5sum / sha256sum",
      "content": "md5sum / sha256sum berechnet kryptografische prüfsummen für integritätsprüfung forensischer images und artefakte mit minimaler systembelastung. verifiziert chain-of-custody durch hash-vergleiche vor und nach analysen. stream-filter-fähigkeit ermöglicht simultane hash-berechnung während disk-imaging. auf nahezu jeder unix-plattform vorinstalliert, daher überall verfügbar für spontane verifizierungen. erzeugt standardkonforme prüfsummen für gerichtliche verwertbarkeit. cli hashing integrity incident-response static-investigations malware-analysis examination analysis",
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        "domains": [
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        "phases": [
          "examination",
          "analysis"
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        "tags": [
          "routing-analysis",
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      "metadata": {
        "domains": [
          "incident-response",
          "static-investigations"
        ],
        "phases": [
          "data-collection"
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        "tags": [
          "cli",
          "disk-imaging",
          "cloning",
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      "name": "IE History Laufwerkszugriffe Analyse",
      "content": "ie history laufwerkszugriffe analyse non-browser-file-access via ie-history in index.dat (ie6-9) bzw.  webcachev*.dat (ie10+) unter %userprofile%\\appdata\\local\\microsoft\\ windows\\webcache\\. file:///-url-entries zeigen lokale dateizugriffe  und unc-network-share-access auch ohne browser-usage. url-format:  file:///c:/path/file.ext oder file://server/share/file.  timestamp-analysis für file-access-timeline unabhängig von  explorer-recent-lists. webcacheview-tool für structured database-export. ie-history file-protocol local-file-access unc-shares index-dat webcache-analysis non-browser-access timeline-reconstruction network-shares remote-files static-investigations incident-response network-forensics examination analysis",
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        "phases": [
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        "domains": [
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        "phases": [
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        "tags": [
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      "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": [
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        "domains": [
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        "phases": [
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          "examination"
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        "tags": [
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    {
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      "name": "UserAssist Forensische Analyse",
      "content": "userassist forensische analyse rot13-dekodierung von ntuser.dat\\software\\microsoft\\windows\\ currentversion\\explorer\\userassist\\{guid}\\count für desktop-gui-programme.  guid-kategorien: cebff5cd (executable), f4e57c4b (shortcut), 75048700  (active desktop-xp). jeder eintrag enthält ausführungs-count und  last-execution-time. rot13-dekodierung: a→n, b→o etc. automated-tools  für batch-dekodierung verfügbar. registry-explorer zeigt last-write-time  des userassist-keys für timeline-korrelation. userassist-analysis rot13-decoding gui-tracking execution-frequency registry-analysis desktop-programs timeline-analysis ntuser-dat guid-analysis static-investigations incident-response examination analysis",
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        "domains": [
          "static-investigations",
          "incident-response"
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        "phases": [
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        "tags": [
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          "registry-analysis",
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      "type": "tool",
      "name": "dcfldd",
      "content": "dcfldd defense computer forensics lab dd erweitert klassisches dd um essenzielle forensische features für professionelle imaging-workflows. simultane multi-hash-berechnung (md5, sha1, sha256) während des imaging-prozesses ohne performance-einbußen oder zusätzliche passes. split-on-the-fly für multi-volume-archives ohne zwischenspeicherung, pattern-wiping für dod 5220.22-m-konforme sichere löschung. status-output zeigt transfer-geschwindigkeit, verbleibende zeit und eta-berechnung. block-level-hashing ermöglicht granulare integritätsprüfung einzelner disk-sektoren für partial-corruption-detection. verify-funktion prüft geschriebene daten sofort durch read-back-verification. 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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        "phases": [
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        "tags": [
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      "id": "tool_Binwalk",
      "type": "tool",
      "name": "Binwalk",
      "content": "binwalk der firmware-forensiker extrahiert versteckte schätze aus iot-geräten, routern und embedded systems. signature-scanning identifiziert eingebettete dateisysteme (squashfs, jffs2, cramfs), komprimierte archive und verschlüsselte bereiche. automatische extraktion mit -e flag. entropy- analyse visualisiert zufälligkeit für crypto-erkennung. die rules-engine erlaubt custom-signaturen für proprietäre formate. besonders wertvoll für iot-malware-analyse, router-backdoor-suche und ip-kameras-forensik. 3d-entropy-plots mit -e. hexdump-integration für manuelle inspektion. die plugin-architektur ermöglicht erweiterungen. oft der erste schritt bei hardware-forensik. kombiniert mit qemu für firmware-emulation. die false-positive-rate kann hoch sein, aber die alternative ist manuelles hex-editing. essential für jeden, der mit embedded devices arbeitet. cli firmware-extraction signature-analysis file-carving entropy-check binary-decode iot-forensics embedded-analysis custom-signatures hexdump-view plugin-support 3d-entropy malware-analysis ics-forensics static-investigations examination analysis",
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    {
      "id": "tool_Firmware_Analysis_Toolkit",
      "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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      "metadata": {
        "domains": [
          "ics-forensics",
          "malware-analysis"
        ],
        "phases": [
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        "tags": [
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    {
      "id": "tool_Wireshark",
      "type": "tool",
      "name": "Wireshark",
      "content": "wireshark netzwerk-protokoll-analyzer dekodiert ethernet bis zu ics-protokollen mit mächtiger \n  display-filter-syntax für präzise paket-selektion. follow-stream rekonstruiert komplette \n  tcp-sessions, http-uploads, ftp-transfers. expert-info identifiziert anomalien wie \n  retransmissions, malformed packets. export-objekte extrahiert übertragene dateien aus \n  http, smb, tftp. tls-decryption mit private keys oder sslkeylogfile. lua- und c-plugin-api \n  für custom-dissectors. 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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          "cloud-forensics",
          "ics-forensics",
          "fraud-investigation"
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          "cross-platform",
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          "follow-stream",
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      "id": "tool_Live_Memory_Acquisition_Procedure",
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      "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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      "type": "tool",
      "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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      "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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        ],
        "tags": [
          "ids",
          "nsm"
        ],
        "skillLevel": "intermediate",
        "type": "tool"
      }
    },
    {
      "id": "tool_Windows_Netzwerk_Forensik_mit_PowerShell",
      "type": "tool",
      "name": "Windows Netzwerk-Forensik mit PowerShell",
      "content": "windows netzwerk-forensik mit powershell live-system-netzwerk-sammlung: get-netadapter für interface-liste,  get-netipaddress für ip-konfiguration, get-nettcpconnection für aktive  verbindungen, get-netudpendpoint für udp-ports, get-netneighbor für  arp-tabelle, get-netroute für routing-informationen.  get-netadapterstatistics für traffic-volumina,  get-netadapterhardwareinfo für hardware-details. batch-sammlung mit  | export-csv für strukturierte ausgabe. korrelation mit registry-daten  unter networklist für historische profile. powershell-forensics network-analysis live-analysis netadapter-cmdlets tcp-connections routing-analysis neighbor-discovery traffic-statistics cmdlet-scripting incident-response network-forensics data-collection examination",
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        "domains": [
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      "name": "LNK-Dateien Forensische Analyse",
      "content": "lnk-dateien forensische analyse shortcut-analyse aus %userprofile%\\appdata\\roaming\\microsoft\\windows\\ recent\\ für file-access-historie. jede lnk-datei enthält: target-path,  working-directory, creation/modification/access-times der zieldatei,  volume-serial-number, network-share-info, host-name. lnk-creation-time  = erste datei-öffnung, lnk-modification-time = letzte öffnung.  besonderheit: lnk-dateien für netzwerk-dateien bleiben auch nach  original-löschung bestehen und zeigen remote-zugriffe. lnk-analysis shortcut-forensics file-access-history volume-information network-shares target-metadata remote-files mac-timestamps serial-numbers static-investigations incident-response fraud-investigation examination analysis",
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        "domains": [
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          "sync-analysis",
          "cloud-artifacts",
          "metadata-analysis"
        ],
        "skillLevel": "advanced",
        "type": "tool"
      }
    },
    {
      "id": "tool_Windows_Zone_Identifier_Analyse",
      "type": "tool",
      "name": "Windows Zone Identifier Analyse",
      "content": "windows zone identifier analyse ntfs-alternate-data-stream-analyse für download-attribution:  filename:zone.identifier mit zoneid-werten: 0=local, 1=intranet,  2=trusted sites, 3=internet, 4=restricted sites. browser-downloads  erhalten automatisch zone.identifier-markierung. analyse mit  \"dir /r\" oder \"more filename:zone.identifier\". streams-tool zeigt  alle ads eines verzeichnisses. registry-policies können  zone-marking deaktivieren. zone-identifier alternate-data-streams download-attribution security-zones ntfs-forensics browser-markings malware-sources web-attacks origin-tracking incident-response malware-analysis static-investigations examination analysis",
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      "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",
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        "domains": [
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        "phases": [
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        "tags": [
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    {
      "id": "tool_UserAssist_GUI",
      "type": "tool",
      "name": "UserAssist GUI",
      "content": "userassist gui dekodiert rot13-verschlüsselte userassist-registry-einträge für gui-program-execution- tracking unter windows. zeigt program-pfade, ausführungsanzahl und last-execution- times für desktop-programme und shortcuts. besonders wertvoll: unterscheidet zwischen direkter .exe-ausführung und shortcut-starts, exportiert daten für timeline-analyse, erkennt malware-execution-patterns automatisch. gui userassist-analysis rot13-decoding program-execution registry-analysis execution-frequency shortcut-tracking malware-detection didier-stevens scenario:persistence static-investigations incident-response malware-analysis examination analysis",
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        "domains": [
          "static-investigations",
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        "phases": [
          "examination",
          "analysis"
        ],
        "tags": [
          "gui",
          "userassist-analysis",
          "rot13-decoding",
          "program-execution",
          "registry-analysis",
          "execution-frequency",
          "shortcut-tracking",
          "malware-detection",
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    {
      "id": "tool_ALEAPP",
      "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",
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        "domains": [
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        "phases": [
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    {
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      "name": "ShadowExplorer",
      "content": "shadowexplorer macht windows volume shadow copy snapshots auch in home-editionen für forensische analyse zugänglich. ermöglicht komfortables durchstöbern und wiederherstellen früherer dateiversionen ohne komplexe kommandozeilen-tools. rekonstruiert gelöschte oder überschriebene dateien aus automatischen systemsicherungen. besonders wertvoll für zeitpunkt-basierte analysen und nachweis von datenmanipulationen. schlanke gui für schnelle triage klassischer 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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        "domains": [
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          "examination",
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          "gui",
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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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      "content": "neo4j graph-datenbank transformiert komplexe relationale daten in intuitive visualisierungen. die sql-ähnliche cypher-query-language ist nach einer gewissen lernkurve intuitiv und bietet viele möglichkeiten. cypher-algorithmen finden kürzeste pfade zwischen entitäten, viele weitere automatisierungen sind möglich. die anwendbarkeiten sind wegen der abstrakten struktur von neo4j daher unbegrenzt und in allen domänen (hauptsichlich netzwerkforensik, finanztransaktionsanalysen, kriminalermittlungen gegen organisiertes verbrechen) zur visualisierung und ggf. auch zur analyse einsetzbar. die apoc-bibliothek bietet darüber hinaus noch zahlreiche weitere plugins. import aus csv, json und relationalen datenbanken.\nleider versteckt neo4j einige seiner funktionen mittlerweile hinter einem premium-modell und entfernt sich so vom open-source-konzept. web-interface graph-view visualization correlation-engine cross-platform api cypher-queries community-detection path-finding bloom-visualization apoc-procedures import-tools static-investigations malware-analysis fraud-investigation network-forensics cloud-forensics analysis reporting",
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        "domains": [
          "mobile-forensics",
          "static-investigations"
        ],
        "phases": [
          "examination",
          "analysis"
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        "tags": [
          "cli",
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      "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",
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      "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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        "domains": [
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          "incident-response",
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        "phases": [
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      "type": "concept",
      "name": "Hash Functions & Digital Signatures",
      "content": "hash functions & digital signatures kryptographische hash-funktionen und digitale signaturen bilden das fundament der digitalen beweissicherung. md5 (veraltet aber verbreitet), sha-1, sha-256/512 für integritätsprüfung. kollisionsresistenz gewährleistet eindeutigkeit. forensische anwendungen: datenträger- verifizierung vor/nach imaging, deduplizierung mit hash-sets (nsrl), known-bad-identifikation (malware, csam). rainbow-tables für passwort-cracking. fuzzy-hashing (ssdeep) für ähnlichkeitsanalyse. digitale signaturen authentifizieren software und dokumente. certificate-chain-analyse bei apt-investigations. timestamping für chain-of-custody. die mathematik dahinter ist komplex, aber anwendung ist essentiell. tools berechnen automatisch, aber verständnis der prinzipien unterscheidet profis von amateuren. blockchain als verteilte hash-kette revolutioniert evidence-management. hashing integrity-check chain-of-custody standards-compliant deduplication known-bad-detection fuzzy-hashing digital-signatures timestamping blockchain-evidence incident-response static-investigations malware-analysis mobile-forensics cloud-forensics data-collection examination",
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        "domains": [
          "incident-response",
          "static-investigations",
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          "mobile-forensics",
          "cloud-forensics"
        ],
        "phases": [
          "data-collection",
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          "hashing",
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          "fuzzy-hashing",
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      "id": "concept_Regular_Expressions__Regex_",
      "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",
          "malware-analysis",
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        "phases": [
          "examination",
          "analysis"
        ],
        "tags": [
          "memory-structures",
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          "rootkit-detection",
          "kernel-analysis",
          "address-space",
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    {
      "id": "concept_Digital_Evidence_Chain_of_Custody",
      "type": "concept",
      "name": "Digital Evidence Chain of Custody",
      "content": "digital evidence chain of custody die lückenlose dokumentation digitaler beweise von der sicherstellung bis zur gerichtsverhandlung. kernprinzipien: authentizität, integrität, nachvollziehbarkeit, nicht-abstreitbarkeit. praktische umsetzung durch hash-verifizierung, write-blocker, detaillierte dokumentation aller schritte. formulare dokumentieren wer/was/wann/wo/warum. fotografische dokumentation der hardware. versiegelte beweismitteltaschen mit tamper-evidence. digitale coc durch blockchain-timestamping. iso/iec 27037 als internationaler standard. gerichtliche anforderungen variieren nach jurisdiktion. fehler in der coc können zur beweisverwerfung führen. automatisierung durch lims (laboratory information management systems). die coc ist kein technisches sondern ein prozedurales thema - oft unterschätzt aber entscheidend für erfolgreiche verfahren. chain-of-custody standards-compliant court-admissible audit-trail documentation hash-verification tamper-evidence iso-27037 legal-compliance process-management incident-response static-investigations fraud-investigation mobile-forensics cloud-forensics data-collection examination analysis reporting",
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      "metadata": {
        "domains": [
          "incident-response",
          "static-investigations",
          "fraud-investigation",
          "mobile-forensics",
          "cloud-forensics"
        ],
        "phases": [
          "data-collection",
          "examination",
          "analysis",
          "reporting"
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        "tags": [
          "chain-of-custody",
          "standards-compliant",
          "court-admissible",
          "audit-trail",
          "documentation",
          "hash-verification",
          "tamper-evidence",
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        "skillLevel": "advanced",
        "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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}