vlai
GET /vlai/attack-techniques/{technique_id}/vulnerabilities
Changed onVulnerabilities whose description is nearest to one MITRE ATT&CK technique in the CIRCL bi-encoder space, best first. A similarity search over the indexed descriptions, not a classification: only the vulnerability -> technique direction has measured accuracy. in_vocabulary is false for techniques the model was not trained on, which rank noticeably worse. score is the training-time probability sigmoid(logit_scale * cosine + logit_bias).
Request
- Base URL/api (relative, and the document was published on a file host, not at the API’s origin)
- URL/api/vlai/attack-techniques/{technique_id}/vulnerabilities
- AuthAPI key in header X-API-KEY
Query parameters
top_kinteger
Number of vulnerabilities to return (1-100).
Response
Success.
Changes
- info
endpoint added
- info