Individual skill
performing-mobile-device-forensics-with-cellebrite
Acquire and analyze mobile device data using Cellebrite UFED Touch/4PC, UFED Physical Analyzer, and open-source alternatives (ALEAPP, iLEAPP, MEAT, libimobiledevice) to extract communications, call logs, location data, and application artifacts. Use when extracting or recovering deleted evidence from smartphones or tablets during criminal, corporate, or employee-misuse investigations.
skills/performing-mobile-device-forensics-with-cellebrite/SKILL.md
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- Last checked
- Nov 9, 2026
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- Aug 31, 2026
- License
- Apache-2.0
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- ai-agents Repository topic
- claude-code Repository topic
- cybersecurity Repository topic
- incident-response Repository topic
- mitre-attack Repository topic
- penetration-testing Repository topic
- red-team Repository topic
- security Repository topic
- cloud-security Repository topic
- malware-analysis Repository topic
- forensics Declared skill tag
- mobile-forensics Declared skill tag
- cellebrite Declared skill tag
- smartphone-analysis Declared skill tag
- ios-forensics Declared skill tag
- android-forensics Declared skill tag
- data Derived category
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# Performing Mobile Device Forensics with Cellebrite
## When to Use
- When extracting evidence from smartphones or tablets during an investigation
- For recovering deleted messages, call logs, and location data from mobile devices
- During investigations involving communications via messaging apps
- When analyzing mobile application data for evidence of criminal activity
- For corporate investigations involving employee mobile device misuse
## Prerequisites
- Cellebrite UFED Touch/4PC or UFED Physical Analyzer (licensed)
- Alternative open-source tools: ALEAPP, iLEAPP, MEAT, libimobiledevice
- Appropriate cables and adapters for target device
- Faraday bag to isolate the device from network signals