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US12041084B2
Systems and Methods for Determining User Intent at a Website and Responding to the User Intent
Filed: December 16, 2020Issued: July 16, 2024Assignee: Bolster, Inc.
Analyzes referral URLs from server logs to detect if a prior site was fraudulent; blocks user requests if so, or processes them if legitimate, integrating machine learning for accurate fraud assessment.
Backward Citations (2)
Forward Citations (11)
Phishing detection via grammatical artifacts
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Method to eliminate data theft through a phishing website
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Detection device and detection program
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Counterfeit object detection using image analysis
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Machine learning uniform resource locator (URL) classifier
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Method for detecting harmful URLs
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Technical support scam protection
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DI chip, communication device, system, and operating method
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System, method and computer readable medium for analyzing and blocking abnormal source network address using machine learning
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Systems and methods for identifying legitimate network traffic imitation
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System and method for searching for and identifying unauthorized websites
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