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 |
development
拋棄式 HTML mockup 比稿:產出 2 到 3 個設計立場不同的變體(密度 / 版式 / 強調軸,不是換色),各附取捨說明,最後給有立場的對比結論。適用:「畫個草圖」「比較 A 版 B 版」「先看方向再做」「給我看幾種做法」。要 production 元件或設計已定案時不適用。
tools
需求不明時的意圖萃取訪談:一次一題、每題附上自己的猜測、聽出「真正想要 vs 覺得應該要」,直到能預測使用者反應(約 95% 信心)才動工。適用:需求缺少對象 / 動機 / 成功標準 / 約束,或使用者點名「訪談我」「先確認一下」「我們確定嗎」。明確自足的指示、純資訊查詢、機械性操作不適用。
development
對非平凡決策啟動新鮮 context 對抗審查(找碴不背書),在修正還便宜的時候抓出錯誤方向。適用:高風險改動(production、資安敏感邏輯、不可逆操作)、不熟的程式碼、要宣稱「這樣是安全的 / 可行的」之前。機械性操作與一行修改不適用。
testing
Reference for writing and editing agent skills well — the vocabulary and principles that make a skill predictable. Consult when authoring, reviewing, or pruning a SKILL.md.