Automatic generation of vulnerability metrics using machine learning
US12143412B2 · kind B2 · utility
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Key dates
| Filing date | Mar 8, 2021 |
| Grant date | Nov 12, 2024 |
| Priority date | — |
| Expiry date | Feb 20, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques, methods and/or apparatuses that enable generation of vulnerability vectors of newly identified vulnerabilities (e.g., Common Vulnerability Exposures (CVEs)). Based on the textual description of the vulnerability, vulnerability vectors are generated. The generated vulnerability vectors may represent a prediction of how a third-party vulnerability scorer (e.g., United State National Vulnerability Database (US NVD)) would score the identified vulnerability.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.