The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 05, 2022

Filed:

Sep. 26, 2019
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Amar D. Patel, Issaquah, WA (US);

Ravi Chandru Shahani, Bellevue, WA (US);

Revanth Rameshkumar, Redmond, WA (US);

Ethan Jacob Holland, Rockville, MD (US);

Douglas J. Hines, Kenmore, WA (US);

Abhijeet Surendra Hatekar, Kirkland, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); G06F 21/53 (2013.01); G06N 20/00 (2019.01); G06F 9/455 (2018.01); G06F 21/54 (2013.01); G06F 21/56 (2013.01); G06K 9/62 (2022.01);
U.S. Cl.
CPC ...
G06F 21/53 (2013.01); G06F 9/45558 (2013.01); G06F 21/54 (2013.01); G06F 21/566 (2013.01); G06K 9/6256 (2013.01); G06N 20/00 (2019.01); G06F 2009/45587 (2013.01); G06F 2009/45595 (2013.01); G06F 2221/2119 (2013.01);
Abstract

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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