Invention Grant
- Patent Title: System and method for prioritizing and ranking static analysis results using machine learning
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Application No.: US16795439Application Date: 2020-02-19
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Publication No.: US11574252B2Publication Date: 2023-02-07
- Inventor: Andrew R. Calvano
- Applicant: Raytheon Company
- Applicant Address: US MA Waltham
- Assignee: Raytheon Company
- Current Assignee: Raytheon Company
- Current Assignee Address: US MA Waltham
- Main IPC: G06F9/44
- IPC: G06F9/44 ; G06N20/10 ; G06F17/18 ; G06K9/62

Abstract:
A method includes obtaining at least one program slice embedding vector and at least one register vector that are generated based on results from a static analysis tool, the at least one register vector corresponding to the at least one program slice embedding vector. The method also includes using a machine learning model to generate, from the at least one program slice embedding vector and the at least one register vector, at least one probability rating associated with a vulnerability. The method also includes reporting the at least one probability rating for use by the static analysis tool.
Public/Granted literature
- US20210256426A1 SYSTEM AND METHOD FOR PRIORITIZING AND RANKING STATIC ANALYSIS RESULTS USING MACHINE LEARNING Public/Granted day:2021-08-19
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