incident-response-forensics

v2026.09.25

Perform digital forensics during incident response — evidence preservation, volatile data collection, artifact analysis, and timeline construction. Use when investigating a suspected compromise.

GitHub
安装命令
npx skhub add securityskills/incident-response-forensics
Markdown
SKILL.md

Incident Response Forensics

Collect and analyze evidence without destroying it.

1. Preserve Before You Poke

  • Take memory capture first (before heavy processes): WinPMem, LiME, or vendor snapshot
  • Disk image via write-blocker or verified cloud snapshot; hash everything (SHA-256), record chain of custody
  • Collect network evidence: firewall/flow logs, PCAP if available, proxy and DNS logs
  • Never investigate on the live system beyond read-only collection — attacker tooling notices

2. Volatile Data Order

  1. Network connections, routing tables
  2. Running processes and services, loaded modules
  3. Logged-in sessions, clipboard (if interactive)
  4. Command histories, scheduled tasks, autostart

3. Artifact Analysis

Windows

  • Shimcache/Amcache, Prefetch, SRUM for execution history
  • Event logs: 4624/4625 (logons), 4688 (process creation), 7045 (service install), PowerShell 4104
  • Registry: Run keys, Services, USN journal for file deletion
  • Lateral movement: RDP logs (4776/4624 type 3), scheduled tasks, WMI activity

Linux

  • /var/log/auth.log, journalctl, .bash_history, wtmp/last
  • Cron, systemd timers, LD_PRELOAD in /etc, immutable-bit anomalies
  • Unauthorized SSH keys in authorized_keys, passwd modifications

Cloud

  • CloudTrail/data plane logs, unusual AssumeRole chains, new access keys
  • Control-plane vs data-plane timeline separation

4. Timeline Construction

  • Normalize all artifacts into a super-timeline (log2timeline/PlutoScope-style)
  • Anchor on the initial access indicator, then walk forward (persistence, spread, exfil) and backward (recon, delivery)
  • Separate facts from inference; mark confidence levels

Output

  • IOCs with context (hash, IP, domain, first/last seen)
  • Attack narrative mapped to ATT&CK tactics with evidence citations per step
  • Root-cause hypothesis with supporting and contradicting evidence
发现
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最新版本元数据

版本

v2026.09.25

发布时间

Sep 25, 2026

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源路径

forensics/incident-response-forensics

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main

最新提交

b2b6b52

Tree SHA

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