Fraud Detection Patent Using Shared Account Attributes
Summary
The USPTO published patent application US20260099849A1 titled 'Systems and Methods for Classifying Accounts Based on Shared Attributes with Known Fraudulent Accounts.' The patent covers methods for analyzing user accounts to detect fraud by comparing account attributes against known fraudulent accounts and assessing collective risk levels. Eight inventors are listed for this G06Q classification patent covering financial fraud detection technology.
What changed
The USPTO published patent application US20260099849A1 covering systems and methods for classifying user accounts as fraudulent by analyzing shared attributes with known fraudulent accounts. The technology compares attributes of a particular user account against multiple known fraudulent accounts to determine shared characteristics, then collectively analyzes those shared attributes to assign a risk level indicating fraud likelihood.
Technology companies operating account-based platforms, particularly in financial services, fintech, payments, and e-commerce sectors, should monitor this patent publication. While patent applications do not create immediate compliance obligations, they may influence future product development strategies and potential licensing considerations for fraud detection systems. The G06Q classification indicates applicability to business and financial data processing systems.
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Archived snapshot
Apr 12, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
SYSTEMS AND METHODS FOR CLASSIFYING ACCOUNTS BASED ON SHARED ATTRIBUTES WITH KNOWN FRAUDULENT ACCOUNTS
Application US20260099849A1 Kind: A1 Apr 09, 2026
Inventors
Chuanyun Fang, Chunmao Ran, Itzik Levi, Kun Fu, Adam Cohen, Avishay Meron, Doron Hai-Reuven, Amnon Jislin
Abstract
Methods and systems are presented for classifying a particular user account as a fraudulent user account by analyzing links between the user account and two or more known fraudulent user accounts collectively. Attributes of the particular user account are compared against attributes of a plurality of known fraudulent accounts to determine that the particular user account has shared attributes with a first known fraudulent account and a second known fraudulent account. The shared attributes with the first known fraudulent account and the second known fraudulent account are analyzed collectively to determine a risk level for the particular user account. The risk level may indicate a likelihood that the particular user account corresponds to a fraudulent account.
CPC Classifications
G06Q 20/4016 G06Q 20/4014 H04L 67/306
Filing Date
2025-10-14
Application No.
19358290
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