external/anthropic-cybersecurity-skills/skills/performing-endpoint-forensics-investigation/SKILL.md
Performs digital forensics investigation on compromised endpoints including memory acquisition, disk imaging, artifact analysis, and timeline reconstruction. Use when investigating security incidents, collecting evidence for legal proceedings, or analyzing endpoint compromise scope. Activates for requests involving endpoint forensics, memory analysis, disk forensics, or incident investigation.
npx skillsauth add seikaikyo/dash-skills performing-endpoint-forensics-investigationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Use this skill when:
Do not use this skill for live threat hunting (use EDR/SIEM) or network forensics.
Collect evidence from most volatile to least volatile:
1. System memory (RAM) - Most volatile
2. Network connections and routing tables
3. Running processes and open files
4. Disk contents (file system)
5. Removable media
6. Logs and backup data - Least volatile
Memory Acquisition:
# WinPMEM (Windows)
winpmem_mini_x64.exe memdump.raw
# FTK Imager - Create memory capture via GUI
# File → Capture Memory → Destination path → Capture Memory
# Linux (LiME kernel module)
sudo insmod lime.ko "path=/evidence/memory.lime format=lime"
Volatile Data Collection:
# Capture running processes
Get-Process | Export-Csv "evidence\processes.csv" -NoTypeInformation
tasklist /v > "evidence\tasklist.txt"
# Capture network connections
netstat -anob > "evidence\netstat.txt"
Get-NetTCPConnection | Export-Csv "evidence\tcp_connections.csv"
# Capture logged-on users
query user > "evidence\logged_users.txt"
# Capture scheduled tasks
schtasks /query /fo CSV /v > "evidence\scheduled_tasks.csv"
# Capture services
Get-Service | Export-Csv "evidence\services.csv"
# Capture DNS cache
ipconfig /displaydns > "evidence\dns_cache.txt"
# FTK Imager - Create forensic disk image
# File → Create Disk Image → Physical Drive → E01 format
# Always verify image hash (MD5/SHA1) matches source
# dd (Linux)
sudo dc3dd if=/dev/sda of=/evidence/disk.dd hash=sha256 log=/evidence/imaging.log
# Verify image integrity
sha256sum /evidence/disk.dd
# Compare with hash generated during imaging
# Identify OS profile
vol -f memdump.raw windows.info
# List running processes
vol -f memdump.raw windows.pslist
vol -f memdump.raw windows.pstree
# Find hidden processes
vol -f memdump.raw windows.psscan
# Analyze network connections
vol -f memdump.raw windows.netscan
# Detect process injection
vol -f memdump.raw windows.malfind
# Extract command line arguments
vol -f memdump.raw windows.cmdline
# Analyze DLLs loaded by processes
vol -f memdump.raw windows.dlllist --pid 1234
# Extract files from memory
vol -f memdump.raw windows.filescan | grep -i "suspicious"
vol -f memdump.raw windows.dumpfiles --pid 1234
# Detect credential theft
vol -f memdump.raw windows.hashdump
vol -f memdump.raw windows.lsadump
# Registry analysis from memory
vol -f memdump.raw windows.registry.printkey --key "Software\Microsoft\Windows\CurrentVersion\Run"
Key forensic artifacts and their tools:
Prefetch Files (C:\Windows\Prefetch\):
Tool: PECmd.exe (Eric Zimmerman)
Shows: Program execution history with timestamps and run counts
Command: PECmd.exe -d "C:\Windows\Prefetch" --csv output\
ShimCache (AppCompatCache):
Tool: AppCompatCacheParser.exe
Shows: Programs that existed on system (even if deleted)
Command: AppCompatCacheParser.exe -f SYSTEM --csv output\
AmCache (C:\Windows\appcompat\Programs\Amcache.hve):
Tool: AmcacheParser.exe
Shows: Program execution with SHA1 hashes and install timestamps
Command: AmcacheParser.exe -f Amcache.hve --csv output\
NTFS artifacts ($MFT, $UsnJrnl, $LogFile):
Tool: MFTECmd.exe
Shows: Complete file system timeline including deleted files
Command: MFTECmd.exe -f "$MFT" --csv output\
Event Logs:
Tool: EvtxECmd.exe
Shows: Security, System, PowerShell, Sysmon events
Command: EvtxECmd.exe -d "C:\Windows\System32\winevt\Logs" --csv output\
Registry Hives (SAM, SYSTEM, SOFTWARE, NTUSER.DAT):
Tool: RECmd.exe with batch files
Shows: User accounts, services, installed software, USB history
Command: RECmd.exe -d "C:\Windows\System32\config" --bn BatchExamples\RECmd_Batch_MC.reb --csv output\
# Use KAPE for automated artifact collection
kape.exe --tsource C: --tdest C:\evidence\kape_output \
--target KapeTriage --module !EZParser
# Create super timeline with plaso/log2timeline
log2timeline.py timeline.plaso disk_image.E01
psort.py -o l2tcsv timeline.plaso -w timeline.csv
# Filter timeline around incident timeframe
psort.py -o l2tcsv timeline.plaso "date > '2026-02-20' AND date < '2026-02-22'" -w filtered_timeline.csv
Structure forensic report:
1. Executive Summary
2. Scope and Methodology
3. Evidence Inventory (with chain of custody)
4. Timeline of Events
5. Findings and Analysis
- Initial access vector
- Persistence mechanisms
- Lateral movement
- Data access/exfiltration
6. Indicators of Compromise (IOCs)
7. Recommendations
8. Appendices (tool output, hashes, raw evidence)
| Term | Definition | |------|-----------| | Order of Volatility | Evidence collection priority from most volatile (RAM) to least volatile (backups) | | Chain of Custody | Documented record of evidence handling from collection to presentation | | Write Blocker | Hardware or software device that prevents modification of source evidence | | Super Timeline | Consolidated chronological view of all artifact timestamps for incident reconstruction | | Prefetch | Windows artifact recording program execution history | | ShimCache | Application compatibility artifact tracking program existence on endpoint |
tools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.