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News/A Computer Vision Approach to Visual Fraud Detection in Phishing Websites Using YOLOv8
arxiv
PublishedOctober 27, 2026 at 4:00 AM

A Computer Vision Approach to Visual Fraud Detection in Phishing Websites Using YOLOv8

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arXiv:2609.34015v2 Announce Type: replace Abstract: Phishing remains one of the most common vectors for financial and identity fraud, and most detection systems still rely on inspecting a page's URL, HTML markup, or domain registration history. These signals are easy for an attacker to rotate or obf

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