Invention Grant
- Patent Title: Detecting malicious web pages by analyzing elements of hypertext markup language (HTML) files
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Application No.: US16582990Application Date: 2019-09-25
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Publication No.: US11330010B2Publication Date: 2022-05-10
- Inventor: Haitao Li
- Applicant: Fortinet, Inc.
- Applicant Address: US CA Sunnyvale
- Assignee: Fortinet, Inc.
- Current Assignee: Fortinet, Inc.
- Current Assignee Address: US CA Sunnyvale
- Agency: Law Office of Dorian Cartwright
- Agent Dorian Cartwright
- Main IPC: H04L29/06
- IPC: H04L29/06 ; G06F16/955 ; G06F21/56 ; G06F11/32

Abstract:
Systems and methods are described for detecting compromised web pages and domains by analyzing of elements of hypertext markup language (HTML) files of a domain. In one embodiment, a security service receives a request including a potentially malicious uniform resource locator (URL) and retrieves a first HTML file to which the potentially malicious URL points and a second HTML file to which a host URL corresponding to the potentially malicious URL points. The security service determines whether the potentially malicious URL is a malicious URL by comparing features of the first HTML file to corresponding features of the second HTML file and when a similarity value resulting from the comparing is less than a threshold, then the security service concludes that the first HTML file was created by a malicious actor and responds to the request with an indication that the potentially malicious URL is a malicious URL.
Public/Granted literature
- US20210092130A1 DETECTING MALICIOUS WEB PAGES BY ANALYZING ELEMENTS OF HYPERTEXT MARKUP LANGUAGE (HTML) FILES Public/Granted day:2021-03-25
Information query