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feat: enrich 209 skills with MITRE ATLAS, D3FEND, and NIST AI RMF frontmatter
Added structured security framework mappings to SKILL.md frontmatter across all applicable skills: - atlas_techniques: MITRE ATLAS v5.5 AML.TXXXX IDs (81 skills, AI-targeted attack techniques) - d3fend_techniques: MITRE D3FEND v1.3 defensive technique labels (139 skills, mapped from ATT&CK IDs) - nist_ai_rmf: NIST AI RMF 1.0 subcategory IDs (85 skills, AI risk management functions) Also updates ATTACK_COVERAGE.md with coverage statistics for all three frameworks.
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---
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name: detecting-mimikatz-execution-patterns
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description: Detect Mimikatz execution through command-line patterns, LSASS access signatures, binary indicators, and in-memory detection of known modules.
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description: Detect Mimikatz execution through command-line patterns, LSASS access signatures, binary indicators, and in-memory
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detection of known modules.
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domain: cybersecurity
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subdomain: threat-hunting
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tags: [threat-hunting, mitre-attack, mimikatz, credential-dumping, edr, t1003, proactive-detection]
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version: "1.0"
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tags:
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- threat-hunting
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- mitre-attack
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- mimikatz
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- credential-dumping
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- edr
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- t1003
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- proactive-detection
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version: '1.0'
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author: mahipal
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license: Apache-2.0
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d3fend_techniques:
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- Execution Isolation
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- Process Termination
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- Hardware-based Process Isolation
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- Web Session Access Mediation
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- Process Suspension
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---
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# Detecting Mimikatz Execution Patterns
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