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:
Jun. 18, 2024

Filed:

Oct. 27, 2023
Applicant:

Morgan Stanley Services Group Inc., New York, NY (US);

Inventors:

Eric Mudge, Woodstock, MD (US);

Joseph Edmonds, Ellicott City, MD (US);

Russell Moriarty, Ellicott City, MD (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/56 (2013.01); G06Q 20/40 (2012.01); G06Q 30/018 (2023.01); G06Q 40/02 (2023.01); G06V 10/94 (2022.01); G06V 30/14 (2022.01); G06V 30/19 (2022.01); G06V 30/413 (2022.01);
U.S. Cl.
CPC ...
G06F 21/566 (2013.01); G06Q 20/4016 (2013.01); G06Q 30/0185 (2013.01); G06Q 40/02 (2013.01); G06V 10/95 (2022.01); G06V 30/1448 (2022.01); G06V 30/19093 (2022.01); G06V 30/19147 (2022.01); G06V 30/19173 (2022.01); G06V 30/413 (2022.01); G06F 2221/033 (2013.01);
Abstract

A computer-implemented method of analyzing the contents of a file in a visual document format to identify a potentially-fraudulent overlay is disclosed. The method includes receiving the file, iterating over a set of visually rendered elements within the file, and calculating, for each element in the set, a bounding box. Based on identifying a pair of elements having at least partially overlapping bounding boxes, such that a visible item in an overlaid element at least partially obscures an item in an underlying element that would otherwise be visible, an attack vector ontology is updated to include information on the overlaid and underlying element. This attack vector ontology may be used in training an automatic system to identify fraudulent documents and prevent their being printed, signed, and/or further used.


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