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.
This commit is contained in:
mukul975
2026-04-06 01:56:17 +02:00
parent c15f73db46
commit ef27f026cb
209 changed files with 3959 additions and 3379 deletions
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---
name: detecting-mimikatz-execution-patterns
description: Detect Mimikatz execution through command-line patterns, LSASS access signatures, binary indicators, and in-memory detection of known modules.
description: Detect Mimikatz execution through command-line patterns, LSASS access signatures, binary indicators, and in-memory
detection of known modules.
domain: cybersecurity
subdomain: threat-hunting
tags: [threat-hunting, mitre-attack, mimikatz, credential-dumping, edr, t1003, proactive-detection]
version: "1.0"
tags:
- threat-hunting
- mitre-attack
- mimikatz
- credential-dumping
- edr
- t1003
- proactive-detection
version: '1.0'
author: mahipal
license: Apache-2.0
d3fend_techniques:
- Execution Isolation
- Process Termination
- Hardware-based Process Isolation
- Web Session Access Mediation
- Process Suspension
---
# Detecting Mimikatz Execution Patterns