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MISP/misp-taxonomies ★ 309 155 DATA_RESEARCH

MISP Taxonomies is a curated collection of over 150 classification vocabularies (machine tags) for the MISP threat intelligence platform. Each taxonomy is defined as a JSON file following a consistent schema with namespace, predicates, values, UUIDs, and optional metadata like colours and numerical scores. The repository covers incident classification, malware types, information sharing policies (TLP, PAP), kill chains, sector-specific tags, and emerging domains like AI safety and disinformation. While primarily a data repository, it includes Python tooling for generating taxonomies from external standards (IAB, VERIS, WADA), validating JSON schemas, and maintaining a manifest. The codebase is actively maintained but shows signs of quality drift: typos, duplicate entries, inconsistent versioning, and some stale taxonomies. It is highly reproducible as a standalone dataset.

RATING: 7.4/10 REPRO: 8.5/10 MAINT: active DRIFT: medium
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▸ 5 reusable components found
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