linux-forensic-mem-analysis-credentials-extract
| | Volatility 3 | Memory forensics framework with hashdump, lsadump, cachedump plugins | | pypykatz | Python implementation of Mimikatz for cross-platform LSASS analysis | | Mimikatz | Windows credential extraction tool (used offline against dumps) | | secretsdump.
- License 许可
- MIT
- 最近更新
- 2026-09-01
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01 前言 Front Matter
- name
- linux-forensic-mem-analysis-credentials-extract
- domain
- cybersecurity
- description
- | | Volatility 3 | Memory forensics framework with hashdump, lsadump, cachedump plugins | | pypykatz | Python implementation of Mimikatz for cross-platform LSASS analysis | | Mimikatz | Windows credential extraction tool (used offline against dumps) | | secretsdump.
02 资源文件 1
- 参考文档index.json740 B
03 SKILL.md 正文
| | Volatility 3 | Memory forensics framework with hashdump, lsadump, cachedump plugins | | pypykatz | Python implementation of Mimikatz for cross-platform LSASS analysis | | Mimikatz | Windows credential extraction tool (used offline against dumps) | | secretsdump.py | Impacket tool for extracting secrets from SAM/SYSTEM/SECURITY | | hashcat | Password hash cracking for recovered NTLM and DCC2 hashes | | John the Ripper | Alternative password cracking tool | | Rubeus | Kerberos ticket manipulation and extraction tool | | Impacket | Python toolkit for working with Windows network protocols and credentials |
Common Scenarios
Scenario 1: Post-Breach Credential Assessment Extract all cached credentials from LSASS memory to determine which accounts were exposed, prioritize password resets based on privilege level, check for golden ticket material (krbtgt hash), assess if cloud credentials were accessible.
Scenario 2: Lateral Movement Investigation Extract NTLM hashes and Kerberos tickets to understand how the attacker moved between systems, identify pass-the-hash/pass-the-ticket artifacts, correlate extracted credentials with network logon events in event logs.
Scenario 3: Ransomware Operator Credential Theft Analyze pre-encryption memory dump for Mimikatz execution evidence, extract all available credential types, determine if domain admin credentials were obtained, assess if krbtgt was compromised (golden ticket), plan credential rotation strategy.
Scenario 4: Cloud Credential Theft from Endpoint Search endpoint memory for AWS access keys, Azure tokens, and GCP service account keys stored by CLI tools and browsers, identify exposed cloud permissions, immediately rotate discovered credentials, audit cloud audit logs for unauthorized access.
Output Format
Credential Extraction Summary:
Source: memory.raw (16 GB, Windows 10 Build 19041)
LSASS PID: 684
Credentials Recovered:
Local NTLM Hashes: 4 accounts
Domain NTLM Hashes: 3 accounts
Kerberos TGTs: 2 tickets
Kerberos TGS: 5 service tickets
Plaintext Passwords: 1 (WDigest - svc.backup)
Cached Domain Creds: 2 DCC2 hashes
LSA Secrets: 3 service account passwords
DPAPI Master Keys: 4 keys recovered
Cloud Credentials: 1 AWS access key, 1 Azure token
Highest Privilege Compromised: Domain Admin (CORP\domain.admin)
Recommended Actions:
- Immediate: Reset all extracted account passwords
- Immediate: Rotate AWS access key AKIA...
- Urgent: Double krbtgt password reset (golden ticket mitigation)
- High: Revoke all Kerberos tickets via krbtgt rotation
- Medium: Audit DPAPI-protected data exposure
04 同仓库更多 Skills
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processes-token-impersonate-detect
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processes-thread-injection-detect
Detect Windows thread injection techniques including CreateRemoteThread, QueueUserAPC, NtCreateThreadEx, and thread hijacking via process memory analysis.
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Detect process hollowing (RunPE) by identifying processes with mismatched image paths between PEB and VAD tree, or unmapped PE headers in memory.