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
@@ -1,12 +1,25 @@
---
name: hunting-for-command-and-control-beaconing
description: Detect C2 beaconing patterns in network traffic using frequency analysis, jitter detection, and domain reputation to identify compromised endpoints communicating with adversary infrastructure.
description: Detect C2 beaconing patterns in network traffic using frequency analysis, jitter detection, and domain reputation
to identify compromised endpoints communicating with adversary infrastructure.
domain: cybersecurity
subdomain: threat-hunting
tags: [threat-hunting, mitre-attack, c2, beaconing, network-analysis, proactive-detection]
version: "1.0"
tags:
- threat-hunting
- mitre-attack
- c2
- beaconing
- network-analysis
- proactive-detection
version: '1.0'
author: mahipal
license: Apache-2.0
d3fend_techniques:
- File Metadata Consistency Validation
- Certificate Analysis
- Application Protocol Command Analysis
- Content Format Conversion
- File Content Analysis
---
# Hunting for Command and Control Beaconing