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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-living-off-the-land-attacks
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description: >
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Detect abuse of legitimate Windows binaries (LOLBins) used for living off
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the land attacks. Monitors process creation, command-line arguments, and
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parent-child relationships to identify suspicious LOLBin execution patterns.
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description: 'Detect abuse of legitimate Windows binaries (LOLBins) used for living off the land attacks. Monitors process
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creation, command-line arguments, and parent-child relationships to identify suspicious LOLBin execution patterns.
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'
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domain: cybersecurity
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subdomain: threat-detection
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tags: [lolbins, lotl, fileless-attacks, process-monitoring]
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version: "1.0"
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tags:
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- lolbins
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- lotl
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- fileless-attacks
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- process-monitoring
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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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- Application Protocol Command Analysis
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- Network Isolation
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- Network Traffic Analysis
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- Client-server Payload Profiling
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- Network Traffic Community Deviation
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---
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# Detecting Living Off the Land Attacks
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