Invention Grant
- Patent Title: Detection of vulnerable code
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Application No.: US15829646Application Date: 2017-12-01
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Publication No.: US11080406B2Publication Date: 2021-08-03
- Inventor: Paul Mehta
- Applicant: Cylance Inc.
- Applicant Address: US CA Irvine
- Assignee: Cylance Inc.
- Current Assignee: Cylance Inc.
- Current Assignee Address: US CA Irvine
- Agency: Jones Day
- Main IPC: G06F21/57
- IPC: G06F21/57 ; G06F21/56

Abstract:
A machine learning model is applied to at least determine whether a computer program includes vulnerable code. The machine learning model is trained to determine whether the computer program includes vulnerable code based at least on a presence and/or absence of a first trait. An indication can be provided, via a user interface, an indication that the computer program includes vulnerable code, when the computer program is determined to include vulnerable code. Related methods and articles of manufacture, including computer program products, are also provided.
Public/Granted literature
- US20180157845A1 Detection of Vulnerable Code Public/Granted day:2018-06-07
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