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Old 08-09-2019, 10:52 AM
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Default Apple’s Face ID can be easily bypassed using modified glasses: Security researchers

With the iPhone X, Apple ditched the fingerprint scanner (Touch ID) and replaced it with Face ID. Apple has always billed Face ID to be more secure than Touch ID. And while bypassing the biometric security isn’t easy, it is possible. Security researchers at 2019 Black Hat conference revealed a possible flaw with facial biometrics.

How researchers bypassed Face ID

According to researchers, once can use modified glasses to bypass the biometric security medium. “By merely placing tape carefully over the lenses of a pair of glasses and placing on the victim’s face the researchers demonstrated how they could bypass Apple’s FaceID in a specific scenario. The attack itself is difficult, given the bad actor would need to figure out how to put the glasses on an unconscious victim without waking them up,” a report on Threatpost said.

Researchers took advantage of ‘liveness’ feature of the system. It detects if a person is looking at the device. “They discovered that the abstraction of the eye for liveness detection renders a black area (the eye) with a white point on it (the iris). And, they discovered that if a user is wearing glasses, the way that liveness detection scans the eye changes.”

They then demonstrated the same by creating modified glasses by using white and black tape. In the demo, researchers showed how to bypass security and transfer money using mobile payments. Apple, in a support document explains that Face ID was designed to avoid spoofing by masks and other techniques. To achieve this, it uses neural networks. As an extra layer of security, Apple also has an attention-aware feature.

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How companies can tighten the security

While researchers have found a way to bypass facial biometrics, the exploit is very difficult to pull off. In terms of mitigation, researchers suggest manufacturers to add identity authentication for native cameras. They also recommend to increase “the weight of video and audio synthesis detection.”


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