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US Patent 11379577 Uniform resource locator security analysis using malice patterns

Patent 11379577 was granted and assigned to Microsoft on July, 2022 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Microsoft
Microsoft
Current Assignee
Microsoft
Microsoft
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11379577
Date of Patent
July 5, 2022
Patent Application Number
16584658
Date Filed
September 26, 2019
Patent Citations
‌
US Patent 10778702 Predictive modeling of domain names using web-linking characteristics
‌
US Patent 11025648 Detection of algorithmically generated domains based on a dictionary
‌
US Patent 10404747 Detecting malicious activity by using endemic network hosts as decoys
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US Patent 11005839 System and method to identify abnormalities to continuously measure transaction risk
Patent Citations Received
‌
US Patent 12063248 Deep learning for malicious URL classification (URLC) with the innocent until proven guilty (IUPG) learning framework
0
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US Patent 11783035 Multi-representational learning models for static analysis of source code
Patent Primary Examiner
‌
Longbit Chai
CPC Code
‌
G06F 2221/2119
‌
G06F 21/53
‌
H04L 63/0236
‌
H04L 63/14
‌
G06F 21/54
‌
G06F 21/566

Cybersecurity enhancements help avoid malicious Uniform Resource Locators (URLs). Embodiments may reduce or eliminate reliance on subjective analysis or detonation virtual machines. URL substrings are automatically analyzed for maliciousness using malice patterns. Patterns may test counts, lengths, rarity, encodings, and other inherent aspects of URLs. URLs may be analyzed individually, or in groups to detect shared portions, or both. URL analysis may use or avoid machine learning, and may use or avoid lookups. Malice patterns may be used individually or in combinations to detect malicious URLs. Analysis results may enhance security through blocking use of suspect URLs, flagging them for further analysis, or allowing their validated use, for instance. Analysis results may also be fed back to further train a machine learning model or a statistical model.

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