Invention Application
- Patent Title: AUTOMATED MAPPING FOR IDENTIFYING KNOWN VULNERABILITIES IN SOFTWARE PRODUCTS
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Application No.: US16919199Application Date: 2020-07-02
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Publication No.: US20220004643A1Publication Date: 2022-01-06
- Inventor: Andy Sloane , Ashutosh Kulshreshtha , Hiral Shashikant Patel , Vimal Jeyakumar , Navindra Yadav , Florin Stelian Balus
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Main IPC: G06F21/57
- IPC: G06F21/57 ; G06F16/35 ; G06F16/953 ; G06F16/2457 ; G06N20/00 ; G06N5/04

Abstract:
Systems, methods, and computer-readable for identifying known vulnerabilities in a software product include determining a set of one or more processed words based on applying text classification to one or more names associated with a product, where the text classification is based on analyzing a database of names associated with a database of products Similarity scores are determined between the set of one or more processed words and names associated with one or more known vulnerabilities maintained in a database of known vulnerabilities in products. Equivalence mapping is performed between the one or more names associated with the product and the one or more known vulnerabilities, based on the similarity scores. Known vulnerabilities in the product are identified based on the equivalence mapping.
Information query