A security researcher canceled a presentation at Black Hat Asia for hacking biometric face recognition on Apple iPhones at the request of his employer.
The provisual of cracking Face ID is alarming enough because it's used to lock down features on tens of millions of iPhones from banking and healthcare apps to email, text and photos.
According to Apple, the chance to accidentally unlock a device that is protected by Face ID is one in a million, as opposed to the Touch ID that was one in 50.000.
Researcher Wish Wu, from China, was scheduled to present a talk titled “Bypass Strong Face ID: Everyone Can Deceive Depth and IR Camera and Algorithms” at congress Black Hat Asia to be held in Singapore in March. Wu told Reuters that his employer, Ant Financial, asked him to withdraw the presentation from Black Hat.
Why; Ant Financial's Alipay payment system is compatible with face recognition technologies such as Face ID.
Να αναφέρουμε ότι από τότε που η Apple κυκλοφόρησε το χαρακτηριστικό ασφαλείας το 2017 με το iPhone X, η company released three more phones protected by Face ID: the iPhone XS, XS Max, and XR.
Wu said to Reuters that he agreed to withdraw his presentation by indicating that he was able to play hack only on the iPhone X under certain conditions and that it did not work on iPhone XS and XS Max.
"In order to ensure the credibility and maturity of the research results, we have decided to cancel the speech," he told Reuters in a Twitter message.
"Research into the face-to-face verification mechanism is incomplete and would be misleading if presented," Ant Financial said.
Black Hat organizers naturally pulled a summary of the talk from the webσελίδα of the event in late December, when Ant Financial disclosed the problems in the survey.
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The fact of withdrawing a presentation from the Black Hat page is very rare. The organizers of the conference told Reuters that they accepted Wu's presentation because he persuaded them that he could do it.
"Black Hat accepted the speech because it believed that the hack could be reproduced based on the materials available to the researcher," said conference spokeswoman Kimberly Samra.
Anil Jain, a computer science professor at Michigan State University, said he was surprised by Wu's claim that Apple had invested so much in "anti-spoofing" technology that made such hacks very difficult.
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