Attuallah Malik and Sana Sherwani discovered this when their fifth-grade son Ammar Malik simply picked up his mother's new iPhone X without her permission and shocked her by unlocking the device with his first glance.
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. He also unlocked his dad's phone too.
Sana later re-registered her face under different lighting conditions. However, she chose to further test things by registering all over again under indoor night-time lighting, similar to the first time. The son was also able to unlock his father's phone, but only in one instance.
Although Apple says Face ID is more secure than Touch ID, this raises questions about the possibility of false positives not only happening with twins and siblings around the same age, but with people of different sexes and significantly different ages.
Some of the important Changes or updates actually started on the iPhone 8 or iPhone 8 Plus among-st other updates, the most popular and in particular, the change from Touch ID to Face ID arrived on the iPhone X!
Apple did not immediately respond to a request for comment. As can be seen in the video below, Ammar can reliably unlock his mother's iPhone X, so it wasn't just a one-off fluke. It was proven earlier that it can be unlocked easily by an identical twin. Lets take a Look at the Mask! 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.
Providing a proof about this lag in iPhone X, in a video shared by the family on YouTube, they said, "We are seeing a flood of videos on YouTube from iPhone users who have gotten their hands on the new iPhone X and are trying to trick the Face ID".
Mr Ngo Tuan Anh, the company's vice president of cybersecurity, said the team created the mask using a combination of "3D printing with make-up and 2D images" to dupe the facial recognition system.