{
  "id": 10602338,
  "title": "A Computer Vision Approach to Visual Fraud Detection in Phishing Websites Using YOLOv8",
  "url": "https://urgent.news/2026/09/27/a-computer-vision-approach-to-visual-fraud-detection-in-phishing",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-09-27T23:19:12.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.34015v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "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 obfuscate, and they say very little about what actually convinces a victim to hand over a password or a card number: the way the page looks. This paper…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}