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Face value: What it takes to fool facial recognition

ID: 5accdc2d-e726-50c6-92aa-d06b52883fb4

STIX ID: report--5accdc2d-e726-50c6-92aa-d06b52883fb4

Feed Name: WeLiveSecurity (ESET Research)

Threat Score
55/100

Date Published: 2026-03-13

Date Updated: 2026-05-01

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ESET demonstrated how readily available tools—modified smart glasses, AI-generated images, and face-swap software—can be used to defeat facial recognition and eKYC systems: extracting identities from public spaces, opening a bank account using a synthetic face, and evading watchlist detection by swapping faces in real time. These proof-of-concept tests highlight fragility in biometric-based identity verification and call for adversarial testing and stronger multi-factor controls.

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