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:
Aug. 01, 2023

Filed:

Jul. 29, 2020
Applicant:

Darktrace Limited, Cambridge, GB;

Inventors:

John Anthony Boyer, Cambridge, GB;

Matthew Dunn, Ely, GB;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); G06N 20/10 (2019.01); G06N 20/00 (2019.01); G06F 21/36 (2013.01); H04L 43/045 (2022.01); G06F 16/2455 (2019.01); G06F 3/04842 (2022.01); G06F 3/0486 (2013.01); H04L 41/22 (2022.01); G06F 40/40 (2020.01); H04L 51/42 (2022.01); H04L 51/212 (2022.01); G06F 21/55 (2013.01); G06F 18/23 (2023.01); G06F 18/232 (2023.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
H04L 63/1441 (2013.01); G06F 3/0486 (2013.01); G06F 3/04842 (2013.01); G06F 16/2455 (2019.01); G06F 18/23 (2023.01); G06F 18/232 (2023.01); G06F 21/36 (2013.01); G06F 21/554 (2013.01); G06F 21/556 (2013.01); G06F 40/40 (2020.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01); H04L 41/22 (2013.01); H04L 43/045 (2013.01); H04L 51/212 (2022.05); H04L 51/42 (2022.05); H04L 63/0209 (2013.01); H04L 63/0428 (2013.01); H04L 63/101 (2013.01); H04L 63/14 (2013.01); H04L 63/1416 (2013.01); H04L 63/1425 (2013.01); H04L 63/1433 (2013.01); H04L 63/1483 (2013.01); H04L 63/20 (2013.01); G06N 20/20 (2019.01);
Abstract

The cyber security appliance can have at least the following components. A phishing site detector that has a segmentation module to break up an image of a page of a site under analysis into multiple segments and then analyze each segment of the image to determine visually whether a key text-like feature exists in that segment. A signature creator creates a digital signature for each segment containing a particular key text-like feature. The digital signature for that segment is indicative of a visual appearance of the particular key text-like feature. Trained AI models compare digital signatures from a set of key text-like features detected in the image of that page under analysis to digital signatures of a set of key text-like features from known bad phishing sites in order to output a likelihood of maliciousness of the unknown site under analysis.


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