Spoofing (presentation attack)
Overview
Spoofing in biometrics refers to presenting fake inputs such as photos, videos, masks, or synthetic media to impersonate a legitimate user. Attackers attempt to bypass facial recognition, fingerprint scanners, or voice authentication during onboarding or login.Regulators highlight spoofing as a major risk in remote KYC, urging adoption of liveness detection and PAD. Banks, fintechs, and ID verification providers use AI-driven tools to analyze texture, depth, and micro-movements to detect spoofing. Preventing spoofing is essential to ensure only genuine customers gain access to services, reducing fraud and AML risks.
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FAQ
What is spoofing in biometrics?
Using fake or manipulated inputs to trick biometric systems.
Why is it a compliance issue?
It can bypass KYC checks, enabling fraud or money laundering.
How is it prevented?
Through liveness detection, PAD, and AI-based image analysis.
What are common spoofing methods?
Photos, masks, videos, and increasingly, deepfakes.