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:
May. 05, 2026

Filed:

Apr. 28, 2023
Applicant:

Salesforce, Inc., San Francisco, CA (US);

Inventors:

Xiao Zhang, Sammamish, WA (US);

Robin Stuart, Pacifica, WA (US);

John Seymour, Bothell, WA (US);

Assignee:

Salesforce, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); G06F 40/211 (2020.01); H04L 51/21 (2022.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); G06F 40/211 (2020.01); H04L 51/21 (2022.05);
Abstract

A system supporting one or more machine learning models may receive, via a cloud-based platform that supports a multi-tenant system, metadata associated with a set of electronic communication messages for a tenant of the multi-tenant system. The system may normalize the metadata by extracting fields of the metadata into a format readable by the machine learning model to identify a set of fraudulent users associated with the set of electronic messages. The system may utilize the machine learning model to identify the set of fraudulent users based on executing a set of detection models and performing pattern matching between a set of previously authenticated user activity logs and a set of newly generated user activity logs in the metadata. Upon detection of the set of fraudulent users, the system may generate and transmit a report indicating the set of fraudulent users and the respective electronic message corresponding to the respective fraudulent user.


Find Patent Forward Citations

Zhang, Xiao. (2026). Content-oblivious fraudulent email detection system (U.S. Patent No. 12621323). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12621323

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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