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How to Stop QR Code Phishing Attacks

Discover how Abnormal uses behavioral AI and image processing to combat QR code phishing attacks.

Key Insights

17% of all advanced attacks identified in an Abnormal study utilized malicious QR codes.

Abnormal uses behavioral AI and image processing to detect QR codes and parse their embedded information.

Abnormal's solution detects thousands of QR code phishing attacks per week.

Detection relies on behavioral signals to surface anomalies in both attachments and link-based signals.

QR codes have become a popular form of information sharing, but unfortunately, they also face exploitation by bad actors. This is a growing attack type with a recent Abnormal study identifying 17% of all advanced attacks utilized malicious QR codes. Using behavioral AI and image processing, Abnormal offers a robust solution against QR code phishing attacks.

Watch this on-demand webinar to learn how Abnormal:

  • Utilizes behavioral signals to detect anomalies in attachments or linked-based signals

  • Processes images to detect QR codes and parse the corresponding information

  • Detects thousands of QR code attacks per week


Fill out the form to view the webinar.

See Abnormal in Action

See how behavioral AI detects the attacks that legacy defenses miss.

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