abusing-dpapi-for-cred…
Extract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys) online or offline using…
Map advanced persistent threat (APT) group TTPs to the MITRE ATT&CK framework using the attackcti Python library to query STIX/TAXII data for group-technique associations, then generate ATT&CK Navigator layer files to visualize and compare defensive coverage against adversary
$ npx -y skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-threat-actor-ttps-with-mitre-navigator --agent claude-codeHow it fires
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Map advanced persistent threat (APT) group TTPs to the MITRE ATT&CK framework using the attackcti Python library to query STIX/TAXII data for group-technique associations, then generate ATT&CK Navigator layer files to visualize and compare defensive coverage against adversary
name: analyzing-threat-actor-ttps-with-mitre-navigator description: 'Map advanced persistent threat (APT) group TTPs to the MITRE ATT&CK framework using the attackcti Python library to query STIX/TAXII data for group-technique associations, then generate ATT&CK Navigator layer files to visualize and compare defensive coverage against adversary profiles. Use when profiling an APT group''s techniques, building Navigator coverage heatmaps, or assessing technique coverage gaps against a specific threat actor. ' domain: cybersecurity subdomain: threat-intelligence tags: - mitre-attack - navigator - threat-intelligence - apt - ttp-mapping - stix - attackcti version: '1.0' author: mahipal license: Apache-2.0 nist_ai_rmf: - MEASURE-2.7 - MAP-5.1 - MANAGE-2.4 atlas_techniques: - AML.T0070 - AML.T0066 - AML.T0082 d3fend_techniques: - File Metadata Consistency Validation - Application Protocol Command Analysis - Identifier Analysis - Content Format Conversion - Message Analysis nist_csf: - ID.RA-01 - ID.RA-05 - DE.CM-01 - DE.AE-02 mitre_attack: - T1566.001 - T1059.001 - T1071.001 - T1547.001 - T1053.005
The MITRE ATT&CK Navigator is a web application for annotating and visualizing ATT&CK matrices. Combined with the attackcti Python library (which queries ATT&CK STIX data via TAXII), analysts can programmatically generate Navigator layer files mapping specific threat group TTPs, compare multiple groups, and assess detection coverage gaps against known adversaries.
1. Query ATT&CK STIX data for target threat group using attackcti 2. Extract techniques associated with the group via STIX relationships 3. Generate ATT&CK Navigator layer JSON with technique annotations 4. Overlay detection coverage to identify gaps 5. Export layer for team review and defensive planning
{
"name": "APT29 TTPs",
"domain": "enterprise-attack",
"techniques": [
{"techniqueID": "T1566.001", "score": 1, "comment": "Spearphishing Attachment"},
{"techniqueID": "T1059.001", "score": 1, "comment": "PowerShell"}
]
}817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0
Repo: mukul975/Anthropic-Cybersecurity-Skills
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