본문으로 건너뛰기
cccskills
무료GitHub에 공개

collecting-open-source-intelligence

Investigate domains, IP addresses, and certificates linked to suspected attackers using public sources. This skill guides passive research and relationship mapping to support phishing investigations, external exposure reviews, and threat intelligence reports.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Collects and synthesizes open-source intelligence (OSINT) about threat actors, malicious infrastructure, and attack campaigns using publicly available data sources, passive reconnaissance tools, and dark web monitoring. Use when investigating external threat actor infrastructure, performing pre-engagement reconnaissance for authorized red team assessments, or enriching CTI reports with publicly available adversary context. Activates for requests involving Maltego, Shodan, OSINT framework, SpiderFoot, or infrastructure reconnaissance.

설치 방법 보기

이럴 때 유용합니다

  • Investigating infrastructure linked to a phishing campaign
  • Adding public evidence to threat actor profiles
  • Reviewing an organization's external exposure
  • Mapping connections between suspicious domains and IP addresses

포함된 파일(4)

  • SKILL.md6.9 KB
  • LICENSE11.0 KB
  • references/api-reference.md2.0 KB
  • scripts/agent.py6.4 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Collecting Open-Source Intelligence

When to Use

Use this skill when:

  • Investigating external infrastructure associated with a phishing campaign targeting your organization
  • Enriching threat actor profiles with publicly observable indicators (WHOIS, ASN data, SSL certificates)
  • Conducting authorized attack surface discovery to understand your organization's external exposure

Do not use this skill for active scanning against targets without explicit written authorization — OSINT collection must remain passive (no packets sent to target systems) unless scope permits active recon.

Prerequisites

  • Maltego CE or commercial license for graph-based link analysis
  • Shodan API key (https://shodan.io) for internet-wide device/service discovery
  • OSINT Framework familiarity (https://osintframework.com) for tool selection
  • SpiderFoot HX or open-source SpiderFoot for automated OSINT correlation

Workflow

Step 1: Define Collection Requirements

Establish the intelligence requirement (IR) before collecting. Document:

  • Target: threat actor group, malicious domain, IP range, or organization
  • Priority Intelligence Requirements (PIRs): What specific questions need answering?
  • Legal authority: Passive OSINT is legal; active probing requires authorization
  • Data handling: TLP classification for collected intelligence

Step 2: Passive DNS and WHOIS Investigation

# Passive DNS via SecurityTrails API
curl "https://api.securitytrails.com/v1/domain/evil-domain.com/dns/a" \
  -H "apikey: YOUR_KEY"

# WHOIS history via ARIN / RIPE
whois -h whois.arin.net evil-domain.com

# Certificate transparency logs (no API key required)
curl "https://crt.sh/?q=%.evil-domain.com&output=json" | jq '.[].name_value'

Certificate transparency logs reveal all subdomains for a target domain, often exposing staging, VPN, or internal infrastructure inadvertently made public.

Step 3: Shodan Infrastructure Mapping

import shodan

api = shodan.Shodan("YOUR_SHODAN_API_KEY")

# Search for specific C2 framework signatures (Cobalt Strike beacon)
results = api.search('product:"Cobalt Strike" port:443')
for r in results['matches']:
    print(r['ip_str'], r['port'], r['org'], r.get('ssl', {}).get('cert', {}).get('subject', ''))

# Find infrastructure associated with a known threat actor's ASN
results = api.search('asn:AS12345 http.title:"Redirector"')

Correlate Shodan results with passive DNS to build infrastructure clusters.

Step 4: Maltego Graph Analysis

In Maltego, use these built-in transforms for threat actor infrastructure mapping:

  1. Start with a known malicious domain (Entity: Domain)
  2. Run "To IP Address [DNS]" → identifies hosting IPs
  3. Run "To Shared Hosting" → identifies co-hosted domains (potentially same threat actor)
  4. Run "To DNS Name [Reverse DNS]" → identifies PTR records
  5. Run "To Whois" → identifies registrant email/organization
  6. Pivot on registrant email → "To Domains [Registrant Email]" → expands to all domains registered with same email

Maltego Maltego Cyber threat intelligence transforms (VirusTotal, Shodan, PassiveTotal, URLScan) extend graph coverage.

Step 5: Dark Web and Paste Site Monitoring

Use SpiderFoot HX or manual searches for:

  • Paste sites (Pastebin, Ghostbin): search for leaked credentials, IOCs, malware configs
  • Dark web forums: via Tor browser with appropriate operational security
  • GitHub/GitLab: search for exposed credentials or organization-specific strings
# SpiderFoot CLI for automated OSINT
python sf.py -s evil-domain.com -m sfp_shodan,sfp_virustotal,sfp_passivetotal \
  -o TF -R result.json

Key Concepts

TermDefinition
Passive OSINTIntelligence collection that does not send any packets to target systems — uses public databases, search engines, cached data
PIRPriority Intelligence Requirement — specific question the intelligence collection must answer, preventing unfocused data gathering
Certificate TransparencyPublic log of all SSL/TLS certificates issued by CAs, enabling discovery of subdomains via crt.sh
PivotingUsing one data point (IP, email, registrant name) to discover related infrastructure or accounts
ASNAutonomous System Number — block of IP addresses under a single routing policy; useful for clustering threat actor infrastructure
Co-hosted DomainsMultiple domains resolving to the same IP, potentially indicating shared attacker infrastructure

Tools & Systems

  • Maltego: Graph-based link analysis platform with 50+ data source transforms for IP, domain, email, and social media analysis
  • Shodan: Internet-wide scanner database with 1B+ indexed devices; supports banner, port, SSL certificate, and vulnerability searches
  • SpiderFoot: Automated OSINT tool with 200+ modules covering DNS, WHOIS, dark web, breach data, and social media
  • Recon-ng: Python-based OSINT framework with modular design for domain, email, and social media reconnaissance
  • crt.sh: Free certificate transparency search engine for subdomain and certificate discovery
  • OSINT Framework (osintframework.com): Curated directory of OSINT tools organized by intelligence category

Common Pitfalls

  • Leaving digital footprints: Visiting a threat actor's website or Shodan-queried IP can alert the adversary. Use Tor or VPN with a dedicated OSINT VM.
  • Confirmation bias in graph analysis: Maltego graphs can create false connections. Verify each pivot independently before treating as confirmed.
  • Outdated data: WHOIS privacy services and bulletproof hosting rotate frequently. Always check data timestamps — 6-month-old passive DNS may no longer be valid.
  • Attribution overconfidence: Infrastructure overlap does not guarantee same threat actor. False flag operations deliberately share indicators across groups.
  • Legal boundaries: Some OSINT tools perform active scans (port scanning, banner grabbing). Confirm tool behavior before use against external targets without authorization.

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

Assess exposure of Windows secrets protected by DPAPI, the operating system’s data protection service, during authorized security tests. Guide examination and decryption of saved credentials and browser data using available user sessions, credentials, or backup keys.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Assessing saved credential exposure in authorized tests
  • Examining collected DPAPI files offline
  • Reviewing protected browser and RDP credentials
mukul975/Anthropic-Cybersecurity-Skills3.5만2026년 8월 31일 업데이트

Assess Shadow Credentials account takeover during authorized Active Directory testing. Examine permissions that allow public key registration, validate authentication without a password reset, and document credential cleanup, detection opportunities, and access control changes needed for remediation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Assessing risky permissions identified in BloodHound
  • Validating account takeover without resetting a password
  • Generating directory change records during security exercises
mukul975/Anthropic-Cybersecurity-Skills3.5만2026년 8월 31일 업데이트

Prepare for CMMC Level 2, a cybersecurity certification for defense contractors. Define the systems handling controlled information, review security requirements, calculate the SPRS assessment score, and organize remediation plans and evidence into a readiness report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Define the assessment scope for systems handling controlled information
  • Calculate an SPRS score and prioritize unmet security requirements
  • Prepare security plans, remediation milestones, and assessment evidence
mukul975/Anthropic-Cybersecurity-Skills3.5만2026년 8월 31일 업데이트

Create disk images for investigations using dd or dcfldd on Linux. The workflow covers write protection, bit-for-bit copying, hash checks to verify integrity, and documentation of the acquisition process.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Preserving a suspect drive before investigation
  • Creating evidence copies of USB devices or memory cards
  • Verifying that a disk image matches its source
mukul975/Anthropic-Cybersecurity-Skills3.5만2026년 8월 31일 업데이트

Review Active Directory permissions with ldap3, a Python library for directory queries. Identify excessive access granted to non-administrative accounts, explain potential privilege escalation paths, and produce a JSON report with affected objects and remediation recommendations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Auditing excessive Active Directory permissions
  • Investigating privilege escalation paths from ordinary accounts
  • Reporting affected objects and permission remediation recommendations
mukul975/Anthropic-Cybersecurity-Skills3.5만2026년 8월 31일 업데이트

Inspect suspicious Android APK files without running them. Analyze permissions, app components, suspicious code patterns, and network indicators, then produce a JSON risk report to support malware triage and detection rule development.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Triage suspicious APK files without running them
  • Inspect dangerous permission combinations and suspicious API calls
  • Extract network indicators for malware detection rules
mukul975/Anthropic-Cybersecurity-Skills3.5만2026년 8월 31일 업데이트

mukul975의 스킬 모두 보기

이 스킬의 문제 신고