본문으로 건너뛰기
cccskills
무료GitHub에 공개

osint-methodology

Structured OSINT collection methodology. Planning, collection techniques, search operators, and documentation. Loaded by the osint-researcher agent.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

연동 도구TelegramReddit
설치 방법 보기

포함된 파일(1)

  • SKILL.md5.1 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

OSINT Collection Methodology

Collection Planning

Before collecting, define:

  1. Objective: What specific intelligence do we need?
  2. Scope: What sources are relevant? What's out of scope?
  3. Keywords: Search terms, aliases, IOCs to look for
  4. Time constraints: How recent must the intelligence be?
  5. Documentation: How will findings be recorded?

Source Categories

CategorySourcesBest For
Government advisoriesCISA, NCSC, CERT-EU, national CERTsAuthoritative threat alerts, vulnerability warnings
Vendor reportsMandiant, CrowdStrike, Microsoft, Recorded Future, TalosCampaign analysis, actor profiles, malware analysis
Security researchBlogs, conference talks, academic papersNovel techniques, deep dives, vulnerability research
UndergroundForum mirrors, paste sites, Telegram (public), leak aggregatorsThreat actor communications, credential dumps, tools
Code repositoriesGitHub, GitLabMalware source, PoC exploits, attacker tools, leaked configs
Certificate transparencycrt.sh, CensysDomain enumeration, infrastructure mapping
DNS/WHOISSecurityTrails, DomainTools, RiskIQ (via web search)Infrastructure relationships, historical records
News/mediaTech press, infosec news sitesIncident reports, geopolitical context
Social mediaX/Twitter, LinkedIn, Reddit (public)OPSEC failures, community intelligence, actor claims

Search Operator Cheat Sheet

Google Dorks

site:example.com filetype:pdf         # PDFs on a specific site
"threat actor" AND "APT28" -site:reddit.com  # Exclude noise
inurl:"/wp-content/uploads/" filetype:exe    # Exposed uploads
"index of" "/backup"                   # Directory listings
intitle:"login" site:*.example.com     # Login pages on subdomains

GitHub Search

org:target-org password                # Leaked credentials
filename:.env DB_PASSWORD              # Exposed environment files
"api_key" language:python              # Hardcoded API keys
"BEGIN RSA PRIVATE KEY"                # Exposed private keys

Certificate Transparency (crt.sh)

https://crt.sh/?q=%.example.com        # All certs for subdomains
https://crt.sh/?q=example.com&output=json  # JSON output

Shodan Dorks (via web)

ssl.cert.subject.cn:"example.com"      # Certificates for domain
http.title:"Dashboard" org:"Target"    # Web dashboards
product:"Cobalt Strike"                # C2 servers

Collection Process

1. Broad Sweep

Start with broad searches to understand what's available:

  • Search for the topic/actor/indicator across major sources
  • Note the quantity and quality of available information
  • Identify the most promising sources for deeper collection

2. Targeted Collection

Narrow down to specific sources and extract detailed intelligence:

  • Read full reports, not just headlines
  • Extract specific IOCs, TTPs, dates, and attribution claims
  • Note each source's perspective and potential biases

3. Source Assessment

Apply Admiralty Scale to every finding (per source-assessment skill):

  • Rate source reliability (A-F)
  • Rate information credibility (1-6)
  • Note whether information is corroborated across sources

4. Documentation

Record every finding with full attribution:

#### Finding: [Title]
- **Source**: [URL or description]
- **Source rating**: [Admiralty code, e.g., B2]
- **Date collected**: YYYY-MM-DD
- **Date of information**: YYYY-MM-DD (when was this information produced?)
- **Summary**: [Key intelligence extracted]
- **Relevance**: [How this relates to the collection objective]

Ethical and Legal Boundaries

  • Only access publicly available information
  • Do not create fake accounts or impersonate anyone
  • Do not attempt to access restricted systems
  • Respect robots.txt and terms of service
  • Be aware of data protection regulations (GDPR)
  • Do not engage with threat actors or participate in illegal activity

Related skills

When OSINT collection surfaces an indicator, route into the appropriate enrichment / pivot:

  • Bulk IOC enrichment — /ioc-enrichment-workflow chains /lookup-virustotal, /lookup-otx, /lookup-shodan, /lookup-abuseipdb, /lookup-greynoise, /lookup-urlscan, /lookup-censys, and /lookup-misp
  • Single-indicator first hop — /ip-investigation, /domain-investigation, /hash-investigation, /url-investigation
  • Multi-hop graph walk — /indicator-pivoting
  • Internal correlation against your own catalogue — /lookup-misp search-attributes / search-events
  • Ransomware victim-status sweeps on org names — /lookup-ransomwarelive search --q <orgname>
  • Underground forums and Telegram — /darkweb-collection (read its OPSEC primer before any DIY collection)
  • Apply rigor to the finished product — /score-source, /apply-tlp, /confidence-language, /likelihood-language

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

AbuseIPDB API reference. IP reputation and abuse report lookups.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Liberty91LTD/cti-skills272026년 9월 30일 업데이트

ach

무료

Analysis of Competing Hypotheses — structured technique for evaluating multiple explanations against evidence. Use when facing ambiguous attribution or multiple plausible scenarios. Prefers graded evidence items from /quality-of-information-check and runs that skill first when handed raw URLs or text. Runs on ungraded evidence when asked, labelled as such, unweighted, and capped at Moderate confidence.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Liberty91LTD/cti-skills272026년 9월 30일 업데이트

Use when documenting a named campaign across time and victims, the user asks to start or update a campaign record, or another skill identified a multi-incident cluster that warrants formal tracking. Provides the template (timeline, attribution, victimology, attack chain, Diamond Model mapping, IOC clusters) and the lifecycle from active to historical.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Liberty91LTD/cti-skills272026년 9월 30일 업데이트

Use when the user asks about carding, BIN attacks, payment-card breach markets, fullz/CVV2 trade, autoshops (BidenCash, Brian's Club, Russianmarket, B1ack's Stash), or financial-fraud TTPs. Self-updating knowledge cell.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Liberty91LTD/cti-skills272026년 9월 30일 업데이트

Censys API v2 reference. Host reconnaissance and certificate data.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Liberty91LTD/cti-skills272026년 9월 30일 업데이트

Use when the user asks about Chinese state-sponsored cyber operations or specific PRC-aligned actors (APT41, Volt Typhoon, Mustang Panda, APT10, APT31, Salt Typhoon, etc.), MSS/PLA-attributed campaigns, or PRC sector targeting. Self-updating knowledge cell.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Liberty91LTD/cti-skills272026년 9월 30일 업데이트

Liberty91LTD의 스킬 모두 보기

이 스킬의 문제 신고