Invention Grant
- Patent Title: Uniform resource locator classifier and visual comparison platform for malicious site detection
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Application No.: US16830923Application Date: 2020-03-26
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Publication No.: US11609989B2Publication Date: 2023-03-21
- Inventor: Brian Sanford Jones , Zachary Mitchell Abzug , Jeremy Thomas Jordan , Giorgi Kvernadze , Dalian Quass
- Applicant: Proofpoint, Inc.
- Applicant Address: US CA Sunnyvale
- Assignee: Proofpoint, Inc.
- Current Assignee: Proofpoint, Inc.
- Current Assignee Address: US CA Sunnyvale
- Agency: Banner & Witcoff, Ltd.
- Main IPC: H04L9/40
- IPC: H04L9/40 ; G06F21/56 ; G06F16/955 ; G06N20/10 ; G06N3/08 ; G06F16/51 ; G06N20/00 ; G06K9/62

Abstract:
Aspects of the disclosure relate to detecting and identifying malicious sites using machine learning. A computing platform may receive a uniform resource locator (URL). The computing platform may parse and/or tokenize the URL to reduce the URL into a plurality of components. The computing platform may identify human-engineered features of the URL. The computing platform may compute a vector representation of the URL to identify deep learned features of the URL. The computing platform may concatenate the human-engineered features of the URL to the deep learned features of the URL, resulting in a concatenated vector representation. By inputting the concatenated vector representation of the URL to a URL classifier, the computing platform may compute a phish classification score. In response to determining that the phish classification score exceeds a first phish classification threshold, the computing platform may cause a cybersecurity server to perform a first action.
Public/Granted literature
- US20200311265A1 Uniform Resource Locator Classifier and Visual Comparison Platform for Malicious Site Detection Public/Granted day:2020-10-01
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