ai-threat-testing
Offensive AI security testing and exploitation framework. Systematically tests LLM…
Digital forensics and incident response - Windows event log analysis, PCAP forensics, filesystem artifact analysis, AD attack detection, and timeline correlation. Use when investigating security incidents, analyzing Sherlocks, or performing threat hunting on provided evidence
$ npx -y skills add transilienceai/communitytools --skill dfir --agent claude-codeHow it fires
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/dfirContext preview
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Digital forensics and incident response - Windows event log analysis, PCAP forensics, filesystem artifact analysis, AD attack detection, and timeline correlation. Use when investigating security incidents, analyzing Sherlocks, or performing threat hunting on provided evidence
name: dfir description: Digital forensics and incident response - Windows event log analysis, PCAP forensics, filesystem artifact analysis, AD attack detection, and timeline correlation. Use when investigating security incidents, analyzing Sherlocks, or performing threat hunting on provided evidence files.
Investigate security incidents by analyzing event logs, network captures, and filesystem artifacts. Detect and reconstruct AD attack chains.
| Domain | Key Capabilities | |--------|-----------------| | **Windows Event Logs** | EVTX parsing, Event ID correlation, logon tracking, privilege enumeration | | **Network Forensics** | PCAP analysis, NTLM extraction, LLMNR/NBT-NS poisoning detection, relay identification | | **Filesystem Forensics** | MFT parsing, Prefetch analysis, VSS artifact recovery, Linux persistence, timeline reconstruction | | **AD Attack Detection** | Kerberoasting, AS-REP roasting, NTDS dump, NTLM relay, credential theft | | **Memory Forensics** | Volatility3 analysis: process trees, file extraction, SID resolution, command lines | | **Hash Analysis** | NTLMv2 hash construction from pcap, offline cracking validation |
1. **Inventory evidence** — List all artifacts (EVTX, pcap, MFT, prefetch, registry) 2. **Parse structured data** — EVTX with `python-evtx`, pcap with `tshark`, MFT with `analyzeMFT` 3. **Identify attack indicators** — Key Event IDs, suspicious traffic patterns, anomalous files 4. **Correlate across sources** — Match timestamps, IPs, LogonIDs, and process IDs across artifacts 5. **Reconstruct timeline** — Build chronological attack chain with UTC timestamps 6. **Answer investigative questions** — Map findings to specific incident response queries
pip install python-evtx windowsprefetch analyzeMFT brew install wireshark p7zip hashcat
| Tool | Purpose | |------|---------| | `python-evtx` | Parse Windows .evtx files | | `tshark` | CLI pcap analysis (NTLM, LLMNR, SMB filters) | | `analyzeMFT` | Parse NTFS Master File Table | | `windowsprefetch` | Parse Windows prefetch files (Windows host only) | | `hashcat` | Hash cracking (NTLMv2 mode 5600, Kerberos mode 13100/18200) | | `volatility3` | Memory dump analysis (pstree, filescan, dumpfiles, getsid, cmdline) | | `7z` | Extract AES-encrypted evidence ZIPs |
| Event ID | Log | Indicates | |----------|-----|-----------| | 4624 | Security | Successful logon (check Type + IP mismatch) | | 4768 | Security | TGT request (PreAuthType=0 → AS-REP roast) | | 4769 | Security | TGS request (EncType=0x17 → Kerberoast) | | 4799 | Security | Group membership enumerated (VSS/ntdsutil) | | 5140 | Security | Network share accessed | | 7036 | System | Service state change (VSS start → NTDS dump) | | 325/326/327 | Application | ESENT database create/detach/close | | 330 | Application | ESENT database file info | | 3006/3008 | DNS Client Events | DNS query sent/response received (malicious domain lookups) | | 106/200 | Task Scheduler | Scheduled task created/executed (persistence via schtasks) |
Open-source Claude Code skills and agents for AI-powered penetration testing, bug bounty hunting, AI threat testing, and security reconnaissance — from the team at Transilience.ai
Repo: transilienceai/communitytools
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