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overcuriousity
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@ -3367,6 +3367,244 @@ tools:
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accessType: download
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accessType: download
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license: "MPL\_/ AGPL"
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license: "MPL\_/ AGPL"
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knowledgebase: false
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knowledgebase: false
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- name: ShadowExplorer
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icon: 🗂️
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type: software
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description: >-
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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.
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domains:
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- static-investigations
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- incident-response
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phases:
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- examination
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- analysis
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platforms:
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- Windows
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related_software:
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- OSFMount
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- PhotoRec
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domain-agnostic-software: null
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skillLevel: novice
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accessType: download
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url: https://www.shadowexplorer.com/
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license: Freeware
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knowledgebase: false
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tags:
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- gui
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- shadow-copy
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- snapshot-browsing
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- file-recovery
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- previous-versions
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- scenario:file_recovery
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- point-in-time-restore
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related_concepts:
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- Digital Evidence Chain of Custody
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- name: Sonic Visualiser
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icon: 🎵
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type: software
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description: >-
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Die Open-Source-Audio-Analyse-Suite wird in der Forensik eingesetzt,
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um Wave- und Kompressionsformate bis auf Sample-Ebene zu untersuchen.
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Spektrogramm-Visualisierung, Zeit-/Frequenz-Annotationen und
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Transkriptions-Plugins (Vamp) helfen, Manipulationen wie
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Bandpass-Filter, Time-Stretching oder Insert-Edits nachzuweisen.
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FFT- und Mel-Spectral-Views decken versteckte Audio-Watermarks oder
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Steganografie auf. Export-Funktionen in CSV/JSON erlauben die
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Weiterverarbeitung in Python-Notebooks oder SIEM-Pipelines.
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Ideal für Voice-Authentication-Checks, Deep-Fake-Erkennung
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und Beweisaufbereitung vor Gericht.
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skillLevel: intermediate
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url: https://www.sonicvisualiser.org/
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domains:
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- static-investigations
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- fraud-investigation
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phases:
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- examination
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- analysis
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- reporting
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platforms:
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- Windows
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- Linux
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- macOS
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accessType: download
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license: GPL-2.0
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knowledgebase: false
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tags:
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- gui
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- audio-forensics
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- spectrogram
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- plugin-support
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- annotation
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- csv-export
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related_concepts: []
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related_software:
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- Audacity
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- name: Dissect
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icon: 🧩
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type: software
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description: >-
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Fox-ITs Python-Framework abstrahiert Windows- und Linux-Speicherabbilder
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in virtuelle Objekte (Prozesse, Dateien, Registry, Kernel-Strukturen),
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ohne zuvor ein Profil definieren zu müssen. Modularer
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Hypervisor-Layer erlaubt das Mounten und gleichzeitige Analysieren
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mehrerer Memory-Dumps – perfekt für großflächige Incident-Response.
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Plugins dekodieren PTEs, handle tables, APC-Queues und liefern
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YARA-kompatible Scans. Die Zero-Copy-Architektur beschleunigt Queries auf
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Multi-GB-Images signifikant. Unterstützt Windows 11 24H2-Kernel sowie
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Linux 6.x-schichten ab Juli 2025.
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skillLevel: advanced
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url: https://github.com/fox-it/dissect
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domains:
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- incident-response
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- malware-analysis
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- static-investigations
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phases:
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- examination
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- analysis
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platforms:
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- Windows
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- Linux
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- macOS
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accessType: download
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license: Apache 2.0
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knowledgebase: false
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tags:
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- command-line
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- memory-analysis
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- plugin-support
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- python-library
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- zero-copy
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- profile-less
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related_concepts:
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- Regular Expressions (Regex)
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related_software:
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- Volatility 3
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- Rekall
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- name: Docker Explorer
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icon: 🐳
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type: software
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description: >-
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Googles Forensik-Toolkit zerlegt Offline-Docker-Volumes und
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Overlay-Dateisysteme ohne laufenden Daemon. Es extrahiert
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Container-Config, Image-Layer, ENV-Variablen, Mounted-Secrets
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und schreibt Timeline-fähige Metadata-JSONs. Unterstützt btrfs,
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overlay2 und zfs Storage-Driver sowie Docker Desktop (macOS/Windows).
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Perfekt, um bösartige Images nach Supply-Chain-Attacken zu enttarnen
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oder flüchtige Container nach einem Incident nachträglich zu analysieren.
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skillLevel: intermediate
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url: https://github.com/google/docker-explorer
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domains:
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- cloud-forensics
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- incident-response
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- static-investigations
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phases:
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- data-collection
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- examination
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- analysis
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platforms:
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- Linux
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- macOS
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- Windows
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accessType: download
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license: Apache 2.0
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knowledgebase: false
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tags:
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- command-line
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- container-forensics
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- docker
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- timeline
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- json-export
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- supply-chain
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related_concepts: []
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related_software:
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- Velociraptor
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- osquery
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- name: Ghiro
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icon: 🖼️
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type: software
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description: >-
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Die Web-basierte Bildforensik-Plattform automatisiert EXIF-Analyse,
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Hash-Matching, Error-Level-Evaluation (ELA) und
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Steganografie-Erkennung für große Dateibatches. Unterstützt
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Gesichts- und NSFW-Detection sowie GPS-Reverse-Geocoding für
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Bewegungsprofile. Reports sind gerichtsfest
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versioniert, REST-API und Celery-Worker skalieren auf
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Millionen Bilder – ideal für CSAM-Ermittlungen oder Fake-News-Prüfung.
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skillLevel: intermediate
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url: https://getghiro.org/
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domains:
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- static-investigations
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- fraud-investigation
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- mobile-forensics
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phases:
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- examination
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- analysis
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- reporting
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platforms:
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- Web
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- Linux
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accessType: server-based
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license: GPL-2.0
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knowledgebase: false
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tags:
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- web-interface
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- image-forensics
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- exif-analysis
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- steganography
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- nsfw-detection
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- batch-processing
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related_concepts:
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- Hash Functions & Digital Signatures
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related_software:
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- ExifTool
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- PhotoRec
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- name: Sherloq
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icon: 🔍
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type: software
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description: >-
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Das Python-GUI-Toolkit für visuelle Datei-Analyse kombiniert
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klassische Reverse-Steganografie-Techniken (LSB, Palette-Tweaking,
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DCT-Coefficient-Scanning) mit modernen CV-Algorithmen.
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Heatmaps und Histogramm-Diffs zeigen Manipulations-Hotspots,
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während eine „Carve-All-Layers“-Funktion versteckte Daten in PNG,
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JPEG, BMP, GIF und Audio-Spectra aufspürt. Plugins für zsteg,
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binwalk und exiftool erweitern die Pipeline.
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Eine Must-have-Ergänzung zu Ghidra & friends, wenn
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Malware Dateien als Dead-Drop nutzt.
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skillLevel: intermediate
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url: https://github.com/GuidoBartoli/sherloq
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domains:
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- malware-analysis
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- static-investigations
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phases:
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- examination
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- analysis
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platforms:
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- Linux
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- macOS
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accessType: download
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license: MIT
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knowledgebase: false
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tags:
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- gui
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- image-forensics
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- steganography
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- lsb-extraction
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- histogram-analysis
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- plugin-support
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related_concepts:
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- Regular Expressions (Regex)
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related_software:
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- Ghiro
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- CyberChef
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- name: Cortex
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- name: Cortex
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type: software
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type: software
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description: >-
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description: >-
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