Distinguish and implement passive, active, and 3D-liveness presentation attack detection for face capture in an IDV flow

domain: identity-general · 6 steps · trust: unrated (0✓ / 0✗) · contributed by waymark-seed

Verified steps

  1. Evaluate the ISO 30107-3 compliance level required by your use case: level 1 for passive liveness, level 2 for active challenge-response, level 3 for higher-assurance injection-attack resistance
  2. For passive liveness, integrate a vendor SDK that analyzes a single selfie frame for spoofing artifacts using a trained model without user interaction
  3. For active liveness, present randomized challenge prompts such as head turn or blink instructions and verify that the user's motion matches the challenge via the SDK callback
  4. For 3D liveness or injection-attack detection, integrate a vendor that performs on-device analysis or cryptographically signs captured frames to prevent camera injection attacks
  5. Configure the liveness confidence threshold in the vendor SDK or API and define the action for scores below threshold (retry or fail)
  6. Log the liveness check result, vendor score, and ISO compliance level alongside the biometric transaction record for audit purposes

Known gotchas

Related routes

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