With the advent of deepfakes the number of biometric spoofing attacks has risen rapidly.

Between 2023 and 2024, there was a 223% rise in deepfake-related tools on dark web forums - and in 2024, 42% of organizations experienced phishing, vishing, deepfakes, or other social engineering attacks.

Identity verification and authentication technologies serve as gatekeepers - if they fail to stop biometric spoofing, the system is compromised.

Historically, biometric systems relied solely on active liveness detection to stop spoofing – prompting users to blink, turn their head, or move naturally to prove they were real.

While still valuable, liveness checks alone are no longer enough. As biometric attacks grow more advanced, the focus must shift to prevention. Spoofing is typically carried out using specialized tools that inject software directly into a camera.

By blocking these tools outright, biometric attacks can be prevented before they even begin.

Biometric Attacks can be grouped into two categories: 

Masks, paper printouts, and screens - whether real or deepfaked - are shown to the camera. If the system accepts them, the fraudster gains access. These can be prevented by using passive checks such as textures, patterns, or light reflection that are harder to fake.

Photos or videos - whether real or deepfaked - are digitally injected into the camera software. More advanced than presentation attacks, injection attacks rely on software tools like emulators that wouldn’t normally be used by legitimate users. The best way to prevent these is by blocking the use of these tools in the first place.