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feat: add NIST CSF 2.0 nist_csf field to all 754 cybersecurity skills
Mapped every skill to NIST CSF 2.0 subcategory IDs (GV/ID/PR/DE/RS/RC functions) based on subdomain and content analysis. Restores 11 skills corrupted during prior rebase, re-enriching with ATLAS, D3FEND, NIST AI RMF, and CSF 2.0 fields. All 754 skills now carry structured mappings for all 5 security frameworks: - MITRE ATT&CK (in tags) - MITRE ATLAS v5.5 (atlas_techniques) - MITRE D3FEND v1.3 (d3fend_techniques) - NIST AI RMF 1.0 (nist_ai_rmf) - NIST CSF 2.0 (nist_csf)
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---
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name: extracting-iocs-from-malware-samples
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description: >
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Extracts indicators of compromise (IOCs) from malware samples including file hashes,
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network indicators (IPs, domains, URLs), host artifacts (file paths, registry keys,
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mutexes), and behavioral patterns for threat intelligence sharing and detection rule
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creation. Activates for requests involving IOC extraction, threat indicator harvesting,
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malware indicator collection, or building detection content from samples.
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description: 'Extracts indicators of compromise (IOCs) from malware samples including file hashes, network indicators (IPs,
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domains, URLs), host artifacts (file paths, registry keys, mutexes), and behavioral patterns for threat intelligence sharing
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and detection rule creation. Activates for requests involving IOC extraction, threat indicator harvesting, malware indicator
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collection, or building detection content from samples.
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'
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domain: cybersecurity
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subdomain: malware-analysis
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tags: [malware, IOC-extraction, threat-intelligence, indicators, detection]
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tags:
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- malware
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- IOC-extraction
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- threat-intelligence
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- indicators
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- detection
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version: 1.0.0
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author: mahipal
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license: Apache-2.0
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nist_csf:
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- DE.AE-02
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- RS.AN-03
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- ID.RA-01
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- DE.CM-01
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---
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# Extracting IOCs from Malware Samples
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