Security Firm Creates Mask That Beats Face ID

Yolanda Curtis
November 13, 2017

"The mask is crafted by combining 3D printing with makeup and 2D images, besides some special processing on the cheeks and around the face, where there are large skin areas, to fool AI of Face ID", said Bkav vice president Ngo Tuan Anh.

"Nose was made by a handmade artist".

It is clear that this mask is unlikely to be used against regular users, however, heads of major corporations, heads of state and the Federal Bureau of Investigation should be notified about this vulnerability Apple Face ID.

"The latest to fall is the claim that Face ID can not be spoofed by masks, with Apple's Phil Schiller saying the company ".worked with professional mask makers and makeup artists in Hollywood to protect against these attempts to beat Face ID.

The cost of making the mask is about $150 and it can be used to gain access to the phones of high profile targets such as business and political leaders.

Apple's Face ID technology uses a TrueDepth camera system made up of a dot projector, infrared camera and flood illuminator, and is powered by A11 Bionic to accurately map and recognise a face.

Face ID projects more than 30,000 invisible IR dots and claims to only unlocks iPhone X when customers look at it and is created to prevent spoofing by photos or masks. The Face ID recognises half the face and allows the user to unlock the phone.

But for police forces executing a particularly valuable search warrant, for example, it could be possible to secretly scan a suspect's face, make a mask, and then catch him unawares.

Bkav said that the experiment is a proof of concept and it claimed that in order to bypass the security measure even half of the face is enough to crack into the system.

We've reached out to Bkav for more information, and will update this post if we hear back.

According to the firm, if exploited, Face ID can create problems.

In fact, it also said that the fingerprint sensor which uses biometric security system is the better security measure as of now.

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