Cyber Threat Intelligence and Defensive Response Dataset

Description

A FAIR dataset of 900 cybersecurity-threat records for defensive research, teaching, and security-operations analysis. It combines 550 metadata records from a fixed CISA Known Exploited Vulnerabilities (KEV) CC0 snapshot with 350 author-created defensive scenarios. It contains no exploit code, malware, credentials, personal data, live indicators of compromise, or target-specific offensive instructions. CISA records retain CVE identifiers, selected dates, CWE IDs, and an NVD reference; CISA narrative descriptions and mitigation text are not included. Keywords: cybersecurity; threat intelligence; vulnerability management; CISA KEV; CVE; defensive response; incident response; risk prioritisation; security operations; FAIR data.

Steps to reproduce

1 Treat `cyber_threat_intelligence_dataset.json` as canonical. 2 Validate it against `schema.json`. 3 Run `validate_dataset.py` with Python 3. 4 Use the CISA KEV catalog version and SHA-256 hash in `source_snapshot` to verify the 550 source-metadata records. 5 Use CSV for tabular analysis and XLSX for browsing. 6 Interpret metadata records as source references and defensive scenarios as non-operational teaching material.

Institutions

• Simon Kuznets Kharkiv National University of Economics

  Kharkiv, Kharkiv

Categories

Licence