s0u9ata/security-kg

该数据集包含来自17个来源的安全数据，以**主语-谓语-宾语（SPO）三元组**的形式存储在Parquet格式中，适用于知识图谱构建、图机器学习、检索增强生成（RAG）管道和威胁情报分析。数据来源包括ATT&CK、CAPEC、CWE、CVE、CPE、D3FEND、ATLAS、CAR、ENGAGE、F3、EPSS、KEV、Vulnrichment、GHSA、Sigma、ExploitDB和MISP Galaxies，涵盖了攻击技术、弱点、漏洞、平台枚举、防御技术、人工智能/机器学习技术、分析、对抗参与、欺诈技术、漏洞利用预测评分、已知被利用漏洞、漏洞丰富信息、GitHub安全公告、检测规则、公开漏洞利用和威胁情报集群等多个领域。数据集提供了多个配置，每个配置对应一个特定来源或组合，例如企业ATT&CK、移动ATT&CK、工业控制系统（ICS）ATT&CK等，并包含详细的谓词参考和知识图结构说明，以支持安全研究和应用开发。

Security data from 17 sources represented as **Subject-Predicate-Object (SPO) triples** in Parquet format, ready for knowledge-graph construction, graph-ML, RAG pipelines, and threat-intelligence analysis. Sources include ATT&CK, CAPEC, CWE, CVE, CPE, D3FEND, ATLAS, CAR, ENGAGE, F3, EPSS, KEV, Vulnrichment, GHSA, Sigma, ExploitDB, and MISP Galaxies, covering areas such as attack techniques, weaknesses, vulnerabilities, platform enumeration, defensive techniques, AI/ML techniques, analytics, adversary engagement, fraud techniques, exploit prediction scores, known exploited vulnerabilities, vulnerability enrichment, GitHub security advisories, detection rules, public exploits, and threat intelligence clusters. The dataset offers multiple configurations, each corresponding to a specific source or combination, such as enterprise ATT&CK, mobile ATT&CK, ICS ATT&CK, etc., and includes detailed predicate references and knowledge graph structure descriptions to support security research and application development.