A sentence-transformer benchmark finds MMPNet best links ATT&CK attack technique descriptions to CVE vulnerability records (F1=89) and proposes 275 manually vetted new links.
Ramos, et al., Using tf-idf to determine word relevance in document queries, in: Proceedings of the first instructional conference on machine learning, V ol
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From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach
A sentence-transformer benchmark finds MMPNet best links ATT&CK attack technique descriptions to CVE vulnerability records (F1=89) and proposes 275 manually vetted new links.