A recent video which has gone viral, shows a 10-year old boy unlocking his mother's iPhone X, hinting that family members who resemble similar features might be able to hack the system.
This is what a new video shows that features Sana Sherwani and her kid Ammar Malik.
Malik writes in the description of the video that they accidentally discovered the trick when the son was denied access to the newly purchased iPhone X and he glanced over it, "acting exactly as a kid would do".
While facial recognition isn't exactly a new piece of technology, Apple is marketing the iPhone X with Face ID as the next-generation of facial recognition, where it combines the use of AI and various hardware sensors and components to scan a user's face and also to help prevent potential spoofing. Ammar Malik looks at her mother's iPhone for a second or two, before unlocking Sana Sherwani's phone with his face.
With Face ID, Apple has launched a grand experiment in a form of biometric security previously untested at this scale.More news: Outdoor air pollution responsible for 6% of disease burden in 2016
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Attaullah Malik, Ammar's father, said in a LinkedIn direct message to CNET that his son's face can not always unlock his mother's phone.
In another case, she reregistered a third time in dimmer lighting to replicate her initial registration, and then, her son was able to unlock the phone again. Reports says that the boy was able to unlock the phone because he picked up the phone for the first time. Unlike Touch ID where you can register multiple fingerprints, Face ID is only programmable with one face per device. It was proven earlier that it can be unlocked easily by an identical twin. But in this case, both the parents are clearly saying that no one ever entered the iPhone X's passcode which means the TrueDepth camera hasn't captured any improvements in regards to Face ID.
Vietnamese cybersecurity firm Bkav, claims it's been able to bypass the iPhone X's Face ID feature using a mask. To produce a model of the face, 3D printing was employed while other parts of the face such as eyes were 2D images.
"These are actual masks used by the engineering team to train the neutral network to protect against them in Face ID", said Schiller while standing below an image of the masks.