MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611113822 A) filed by Ajay Kumar Garg Engineering College on September 23, 2026, for A System And Method For Phishing Website Detection Using Url, Dom, Behavioral And Visual Analysis.
Inventors include Aman Gupta; Shruti Jain; and Arpna Saxena.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: Disclosed is a system (100) and method for real-time phishing-website detection. A data collection module (104) gathers a candidate webpage's URL, DOM/HTML content, scripts and screenshot. Independent URL (106), DOM/structural (108), behavioral (110) and visual-similarity (112) analysis modules extract complementary features, converted into feature vectors by a feature extraction engine (114) and fused by an AI-based feature fusion module (116). A machine-learning/deep-learning classifier (118) computes a phishing probability, from which a risk scoring module (120) derives a risk score and classifies the webpage as safe, suspicious or phishing, triggering a warning/blocking module (124). An adaptive learning module (126) and explainable detection module (128) respectively update the model and provide human-interpretable indicators. By fusing independent evidentiary streams, the system detects zero-day and visually deceptive phishing websites with improved accuracy and reduced false positives, and is deployable as a browser extension, gateway or API. Figure to accompany Abstract: FIG. 1
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