본문으로 건너뛰기
cccskills
무료GitHub에 공개

dfir

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

transilienceai/communitytools스타 595(GitHub 595 + cccskills 0)
연동 도구Excel

실행 점수 미검증

설치 방법 보기

포함된 파일(34)

  • SKILL.md6.0 KB
  • reference/c2-traffic-decryption.md5.9 KB
  • reference/dfir-principles.md4.5 KB
  • reference/filesystem-forensics.md6.5 KB
  • reference/INDEX.md4.6 KB
  • reference/network-forensics.md6.0 KB
  • reference/scenarios/ad-attack-detection/dcsync-detection.md3.9 KB
  • reference/scenarios/ad-attack-detection/golden-ticket-detection.md3.9 KB
  • reference/scenarios/ad-attack-detection/kerberos-roast-detection.md3.6 KB
  • reference/scenarios/ad-attack-detection/lateral-movement-indicators.md4.2 KB
  • reference/scenarios/filesystem/lnk-file-analysis.md3.4 KB
  • reference/scenarios/filesystem/ntfs-mft-analysis.md3.6 KB
  • reference/scenarios/filesystem/prefetch-analysis.md3.3 KB
  • reference/scenarios/filesystem/shellbags-userassist.md2.9 KB
  • reference/scenarios/filesystem/timeline-creation.md3.0 KB
  • reference/scenarios/log-analysis/linux-auth-logs.md3.4 KB
  • reference/scenarios/log-analysis/splunk-spl-queries.md4.1 KB
  • reference/scenarios/log-analysis/sysmon-rules.md3.4 KB
  • reference/scenarios/log-analysis/webserver-logs.md3.5 KB
  • reference/scenarios/log-analysis/windows-event-logs.md4.2 KB
  • reference/scenarios/malware/cobalt-strike-beacon-config-extraction.md8.7 KB
  • reference/scenarios/malware/malicious-browser-extension-exfil.md4.3 KB
  • reference/scenarios/memory/injected-code-detection.md3.4 KB
  • reference/scenarios/memory/memory-credential-extraction.md3.4 KB
  • reference/scenarios/memory/network-artifacts-from-mem.md3.4 KB
  • reference/scenarios/memory/nimplant-minidump-task-recovery.md7.1 KB
  • reference/scenarios/memory/volatility-process-analysis.md3.5 KB
  • reference/scenarios/pcap/c2-traffic-decryption.md5.9 KB
  • reference/scenarios/pcap/credential-extraction.md3.9 KB
  • reference/scenarios/pcap/dns-tunneling-detection.md4.9 KB
  • reference/scenarios/pcap/http-objects-export.md2.8 KB
  • reference/scenarios/pcap/tcp-stream-extraction.md2.8 KB
  • reference/scenarios/pcap/tls-decryption.md3.0 KB
  • reference/windows-event-analysis.md3.8 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

DFIR

Investigate security incidents by analyzing event logs, network captures, and filesystem artifacts. Detect and reconstruct AD attack chains.

Techniques

DomainKey Capabilities
Windows Event LogsEVTX parsing, Event ID correlation, logon tracking, privilege enumeration
Network ForensicsPCAP analysis, NTLM extraction, LLMNR/NBT-NS poisoning detection, relay identification
Filesystem ForensicsMFT parsing, Prefetch analysis, VSS artifact recovery, Linux persistence, timeline reconstruction
AD Attack DetectionKerberoasting, AS-REP roasting, NTDS dump, NTLM relay, credential theft
Memory ForensicsVolatility3 analysis: process trees, file extraction, SID resolution, command lines
Hash AnalysisNTLMv2 hash construction from pcap, offline cracking validation

Workflow

  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

Tools

pip install python-evtx windowsprefetch analyzeMFT
brew install wireshark p7zip hashcat
ToolPurpose
python-evtxParse Windows .evtx files
tsharkCLI pcap analysis (NTLM, LLMNR, SMB filters)
analyzeMFTParse NTFS Master File Table
windowsprefetchParse Windows prefetch files (Windows host only)
hashcatHash cracking (NTLMv2 mode 5600, Kerberos mode 13100/18200)
volatility3Memory dump analysis (pstree, filescan, dumpfiles, getsid, cmdline)
7zExtract AES-encrypted evidence ZIPs

Quick Reference: Key Event IDs

Event IDLogIndicates
4624SecuritySuccessful logon (check Type + IP mismatch)
4768SecurityTGT request (PreAuthType=0 → AS-REP roast)
4769SecurityTGS request (EncType=0x17 → Kerberoast)
4799SecurityGroup membership enumerated (VSS/ntdsutil)
5140SecurityNetwork share accessed
7036SystemService state change (VSS start → NTDS dump)
325/326/327ApplicationESENT database create/detach/close
330ApplicationESENT database file info
3006/3008DNS Client EventsDNS query sent/response received (malicious domain lookups)
106/200Task SchedulerScheduled task created/executed (persistence via schtasks)

Reference

Critical Rules

  • Answer formatting: When forensics questions ask for "the value" of a code variable (e.g., PHP $shell), include language-specific string delimiters and terminators (e.g., 'value'; not just value). Check placeholder hints for format clues.
  • For malicious Office OOXML, inspect more than VBA streams: attackers may split staged Base64 or script content across drawing/object descriptors, shared strings, named cells, and hidden UserForm control captions/values.
  • When a VBA byte array starts with an fnstenv/pop decoder stub, convert signed integers to raw bytes and test a Shikata-style rolling XOR decode before treating the shellcode as corrupt.
  • For legacy Excel BIFF/XLS malware, inspect BOUNDSHEET records for hidden or very hidden worksheets and specifically check for Excel 4.0 macro sheets; changing the hidden-state byte or parsing the sheet directly can expose staged strings and flag fragments that never appear in normal workbook views.
  • For webshell traffic in PCAPs, recover static keys from the uploaded server-side code first, then decrypt operator tasking before chasing later payloads; if a dropped XOR key file is referenced by a shellcode stage, verify where the encoded region actually starts instead of XORing the whole blob from offset zero.
  • PowerShell stager pattern (in-place reverse + base64 + IEX): when a stage-1 PS script does [array]::Reverse($charArr) followed by FromBase64String("$charArr"), the -join line is often a red herring — string interpolation of a char array uses $OFS=' ' and FromBase64String tolerates whitespace. Reverse the original base64 string (not the joined-with-spaces version) and decode to get stage 2.
  • Multi-fragment flag exfil: forensic challenges may split a flag across (a) a hardcoded $partN in the malware that is defined but never referenced (often base64'd), and (b) a field of the captured C2 POST body. Decrypt the body with the static AES key from the leaked stage-2 source (PowerShell Encrypt-String puts IV‖ciphertext then base64-wraps); inspect every JSON field for further base64.
  • All timestamps in UTC — convert from local time zones in pcap/logs. AM/PM trap: 12:XX AM = 00:XX (midnight), 12:XX PM = 12:XX (noon). 12 AM ≠ 01:00.
  • Parse EVTX with python-evtx (XML namespace: http://schemas.microsoft.com/win/2004/08/events/event)
  • Use tshark for pcap (not scapy for large files) — filter with -Y display filters
  • Decompress Win10 prefetch (MAM\x04 header) with dissect.util.compression.lzxpress_huffman
  • For AES-encrypted ZIPs (compression method 99), use 7z not unzip

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Offensive AI security testing and exploitation framework. Systematically tests LLM applications for OWASP Top 10 vulnerabilities including prompt injection, model extraction, data poisoning, and supply chain attacks. Integrates with pentest workflows to discover and exploit AI-specific threats.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

transilienceai/communitytools5952026년 7월 30일 업데이트

API security testing - GraphQL, REST API, WebSocket, and Web-LLM attack techniques.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

transilienceai/communitytools5952026년 7월 30일 업데이트

Stitches confirmed single-asset findings into multi-hop attack paths across the organization. Builds a graph where nodes are assets and edges are confirmed exploit hops citing the findings that enable them.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

transilienceai/communitytools5952026년 7월 30일 업데이트

Acquire an authenticated session THROUGH MFA/OTP on an in-scope target and emit a reusable session artifact (Playwright storageState + Bearer) so executors can test the post-auth attack surface. Use when the highest-value authenticated classes (BOLA/IDOR/mass-assignment/injection on the real data APIs) are blocked because login is gated by SMS-OTP or TOTP MFA. Distinct from the authentication skill (which ATTACKS auth); this one legitimately authenticates and hands the session to the rest of the engagement.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

transilienceai/communitytools5952026년 7월 30일 업데이트

Authentication security testing - auth bypass, JWT attacks, OAuth flaws, password attacks, 2FA bypass, CAPTCHA bypass, and bot detection evasion.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

transilienceai/communitytools5952026년 7월 30일 업데이트

Smart contract security testing and blockchain CTF exploitation. Covers Solidity vulnerability analysis, EVM storage manipulation, delegatecall attacks, CREATE/CREATE2 address prediction, and common DeFi exploit patterns. Use when analyzing Solidity contracts, solving blockchain challenges, or testing smart contract security.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

transilienceai/communitytools5952026년 7월 30일 업데이트

transilienceai의 스킬 모두 보기

이 스킬의 문제 신고