Computer Vision uses image recognition to analyze visual elements in messages, attachments, and web content to detect threats or impersonation attempts. It examines logos, screenshots, and HTML to find signs of phishing or fraud.
Computer Vision can detect:
Brand impersonation with fake logos (e.g., Microsoft, PayPal)
Visual elements of phishing pages, like login forms
CAPTCHAs used to bypass security systems
Malicious content disguised as legitimate visuals
For example, attackers often create fake login pages mimicking trusted brands, and Computer Vision can detect these attempts by recognizing misused logos with high confidence.