AI & Technology
Computer Vision in Security
The use of AI to analyze and understand visual information from digital images, crucial for detecting brand spoofing.
Overview
Traditional phishing detection relies on analyzing code (HTML/DOM) or URLs. However, modern attackers obfuscate their code to hide their true intentions. Computer Vision completely bypasses this evasion tactic. PhiShark's Agentic AI utilizes advanced Computer Vision to 'look' at a rendered webpage exactly as a human victim would. It identifies spoofed logos, mimics login forms, and visual brand impersonations (e.g., a fake Microsoft 365 login screen) even if the underlying HTML is heavily encrypted or randomized.
Real-World Examples
- ▸Detecting a pixel-perfect clone of a banking login page
- ▸Identifying legitimate corporate logos used in malicious contexts
- ▸Bypassing HTML obfuscation by validating the visual render
Related Terms
Protect Against Computer Vision in Security
PhiShark's agentic AI detects and analyzes threats in real-time
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