Extract DPAPI-protected secrets such as credentials and browser data offline and online.
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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.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Use this skill when:
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.
Establish the intelligence requirement (IR) before collecting. Document:
# 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.
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.
In Maltego, use these built-in transforms for threat actor infrastructure mapping:
Maltego Maltego Cyber threat intelligence transforms (VirusTotal, Shodan, PassiveTotal, URLScan) extend graph coverage.
Use SpiderFoot HX or manual searches for:
# SpiderFoot CLI for automated OSINT
python sf.py -s evil-domain.com -m sfp_shodan,sfp_virustotal,sfp_passivetotal \
-o TF -R result.json
| Term | Definition |
|---|---|
| Passive OSINT | Intelligence collection that does not send any packets to target systems — uses public databases, search engines, cached data |
| PIR | Priority Intelligence Requirement — specific question the intelligence collection must answer, preventing unfocused data gathering |
| Certificate Transparency | Public log of all SSL/TLS certificates issued by CAs, enabling discovery of subdomains via crt.sh |
| Pivoting | Using one data point (IP, email, registrant name) to discover related infrastructure or accounts |
| ASN | Autonomous System Number — block of IP addresses under a single routing policy; useful for clustering threat actor infrastructure |
| Co-hosted Domains | Multiple domains resolving to the same IP, potentially indicating shared attacker infrastructure |
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Extract DPAPI-protected secrets such as credentials and browser data offline and online.
中文简介正在准备中。当前显示原文说明。
Audit, detect, and remediate Shadow Credentials misconfigurations on msDS-KeyCredentialLink in Active Directory. Focuses on access-controls, monitoring Event ID 5136, and credential-management hygiene.
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Prepare a defense-contractor environment for CMMC Level 2 certification: scope CUI and FCI, implement the 110 NIST SP 800-171 Rev 2 security requirements across 14 families, compute the SPRS score with the DoD Assessment Methodology, manage a compliant POA&M, and ready the organization for a C3PAO assessment. Use when an organization handles Controlled Unclassified Information (CUI) under a DoD contract, when a contract carries DFARS clause 252.204-7012/7019/7020/7021, when preparing for or responding to a CMMC assessment, when computing or improving an SPRS score, when building a System Security Plan or POA&M for 800-171, or when scoping which systems are in the CUI boundary. Keywords: CMMC, CMMC Level 2, NIST 800-171, SP 800-171 Rev 2, CUI, FCI, SPRS, DFARS 7012, C3PAO, POA&M, System Security Plan, DoD Assessment Methodology, 110 controls, defense industrial base, DIB, FedRAMP equivalency.
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Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
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Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
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Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
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