Performing Mobile Device Forensics With Cellebrite
Overview
Cybersecurity skill for performing mobile device forensics with cellebrite. Follows industry best practices and security standards.
When to Use
Trigger phrases:
"performing mobile device forensics with cellebrite"
"Acquire and analyze mobile device data using Cellebrite UFED and open-source too"
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
When NOT to Use
- When you lack proper authorization for testing
- For production systems without change management
- When the task requires legal or compliance expertise beyond technical scope
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
- Legal authorization (warrant, consent, or corporate policy)
- Knowledge of iOS and Android file system structures
Workflow
# Example: IOC detection
import re
IOC_PATTERNS = {
"ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
"domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
"hash_md5": r"\b[a-f0-9]{32}\b",
"hash_sha256": r"\b[a-f0-9]{64}\b",
}
def extract_iocs(text: str) -> dict:
return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}
- Plan Operations — Define objectives, scope, and success criteria for mobile device forensics operations.
- Prepare Environment — Set up tools, access, and data sources required for mobile device forensics.
- Execute Core Workflow — Use cellebrite to perform mobile device forensics operations following established procedures.
- Validate Results — Verify that results meet quality standards and objectives.
- Report Findings — Document results, observations, and recommendations.
- Follow Up — Track remediation actions and verify fixes where applicable.
Tools
- cellebrite — Primary tool for this skill
- Analysis Platform — Data processing and visualization
- Collaboration Tools — Team coordination and knowledge sharing
Process
- Reconnaissance — Gather target information, identify attack surface, enumerate services
- Analysis/Exploitation — Execute the technique, analyze results, document findings
- Reporting — Document IOCs, write findings, provide remediation recommendations
Verification
Anti-Rationalization Table
| Rationalization |
Reality |
| "We are too small to be targeted" |
Automated attacks target everyone. Size does not matter. |
| "Security slows us down" |
A breach slows you down 100x more. Build security in from the start. |
| "We will fix it after launch" |
Vulnerabilities in production are exploited within hours. Fix before deploy. |
1---2name: performing-mobile-device-forensics-with-cellebrite3description: Use when acquire and analyze mobile device data using Cellebrite UFED and open-source tools to extract communications, location data, and application artifacts. Use when working with performing mobile device forensics with cellebrite.4license: Apache-2.05---67# Performing Mobile Device Forensics With Cellebrite89## Overview1011Cybersecurity skill for performing mobile device forensics with cellebrite. Follows industry best practices and security standards.1213## When to Use14**Trigger phrases:**15- "performing mobile device forensics with cellebrite"16- "Acquire and analyze mobile device data using Cellebrite UFED and open-source too"1718- When extracting evidence from smartphones or tablets during an investigation19- For recovering deleted messages, call logs, and location data from mobile devices20- During investigations involving communications via messaging apps21- When analyzing mobile application data for evidence of criminal activity22- For corporate investigations involving employee mobile device misuse232425## When NOT to Use2627- When you lack proper authorization for testing28- For production systems without change management29- When the task requires legal or compliance expertise beyond technical scope303132## Prerequisites33- Cellebrite UFED Touch/4PC or UFED Physical Analyzer (licensed)34- Alternative open-source tools: ALEAPP, iLEAPP, MEAT, libimobiledevice35- Appropriate cables and adapters for target device36- Faraday bag to isolate the device from network signals37- Legal authorization (warrant, consent, or corporate policy)38- Knowledge of iOS and Android file system structures3940## Workflow4142```python43# Example: IOC detection44import re4546IOC_PATTERNS = {47 "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",48 "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",49 "hash_md5": r"\b[a-f0-9]{32}\b",50 "hash_sha256": r"\b[a-f0-9]{64}\b",51}5253def extract_iocs(text: str) -> dict:54 return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}55```56571. **Plan Operations** — Define objectives, scope, and success criteria for mobile device forensics operations.582. **Prepare Environment** — Set up tools, access, and data sources required for mobile device forensics.593. **Execute Core Workflow** — Use cellebrite to perform mobile device forensics operations following established procedures.604. **Validate Results** — Verify that results meet quality standards and objectives.615. **Report Findings** — Document results, observations, and recommendations.626. **Follow Up** — Track remediation actions and verify fixes where applicable.6364## Tools6566- **cellebrite** — Primary tool for this skill67- **Analysis Platform** — Data processing and visualization68- **Collaboration Tools** — Team coordination and knowledge sharing697071## Process72731. **Reconnaissance** — Gather target information, identify attack surface, enumerate services741. **Analysis/Exploitation** — Execute the technique, analyze results, document findings751. **Reporting** — Document IOCs, write findings, provide remediation recommendations7677## Verification7879- [ ] All mobile device forensics procedures executed completely and documented80- [ ] Findings validated against multiple data sources81- [ ] False positives identified and filtered82- [ ] Results documented with evidence and timestamps83- [ ] Recommendations provided with risk-based prioritization8485## Anti-Rationalization Table8687| Rationalization | Reality |88|---|---|89| "We are too small to be targeted" | Automated attacks target everyone. Size does not matter. |90| "Security slows us down" | A breach slows you down 100x more. Build security in from the start. |91| "We will fix it after launch" | Vulnerabilities in production are exploited within hours. Fix before deploy. |