Best Top Reviews Online

The Security Researcher Who Claimed To Have Discovered A Face ID Bypass Has Canceled His Black Hat Presentation

A China-based security researcher withdrew from the prestigious Black Hat Asia conference a presentation on what was advertised as a working Face ID hack after his employer, Ant Financial, deemed it “misleading.”

Wish Wu, who was scheduled to present “Bypass Strong Face ID: Everyone Can Deceive Depth and IR Camera and Algorithms” at Black Hat Asia in March, told Reuters on Thursday that he canceled his appearance at the conference at the request of Ant.

Face ID’s facial recognition technology could be defeated with a black-and-white printed image and “some tape,” according to an abstract of Wu’s talk that was removed from the Black Hat website in December. Ant discovered inconsistencies in Wu’s research late last year, causing him to withdraw from the conference, according to the report.

“The research on the face ID verification mechanism is incomplete and, if presented, would be misleading,” the company stated.

Wu concurred with Ant’s assessment, stating that he could only reproduce the hack on an iPhone X under unspecified circumstances. Wu stated that Apple’s iPhone XS and XS Max are unaffected by the attack.

“We decided to cancel the speech to ensure the credibility and maturity of the research results,” Wu told Reuters.

What exactly went wrong with Wu’s research is unknown. Ant, formerly known as Alipay, has supported Apple’s cutting-edge user authentication hardware, including Touch ID and Face ID, for quite some time.

Apple introduced Face ID with iPhone X in 2017, highlighting the speed and accuracy of the biometric security solution. Apple claims that the false positive rate for Face ID is one in a million, whereas Touch ID’s match rate was closer to one in fifty thousand.

Face ID collects depth map and image data of a user’s face using a dot projector, infrared camera, and flood illuminator as part of the TrueDepth camera system. Using this data, the onboard A-series system-on-chip generates a mathematical model of the target face and sends it to a secure enclave for comparison.

Face ID has proven to be highly resistant to impersonation and other physical attacks. In 2017, the Vietnamese security firm Bkav claimed to have defeated the system using a mask; however, other researchers have not been able to replicate the technique.

Why Trust Us?

Best Top Reviews Online was established in 2018 to provide our readers with detailed, truthful, and impartial advice on what to buy. We now have millions of monthly users from all over the world and annually evaluate over a thousand products.

The above article was written by the BestTopReviewsOnline team, which consists of some of the most knowledgeable technical experts in the United States. Our team consists of highly regarded writers with vast experience in smartphones, computer components, technology apps, security, and photography, among other fields.

Related Stories

  • All Post
  • Best Picks
  • Explainers
  • How To
  • News
  • Versus
WordPress Vulnerabilities Up 30 Percent in 2018

January 9, 2019

Despite fewer plugins being added to WordPress in 2017, the CMS platform experienced an increase in vulnerabilities in 2018. UPDATE In 2018, vulnerabilities in the popular content management system (CMS) WordPress increased by 30 percent, according to new research on…

Dark Web Markets Evolve During the Third Quarter

January 1, 2019

In Q3 the Dark Web is characterized by vulnerabilities, stolen credentials, and the evolution of marketplaces. McAfee’s Q3 analysis reveals that after Hansa and AlphaBay were shut down on the Dark Web, Dream Markets and Wall Street Market became the…

Get more info



Best Products

Buying Guides

Contact Us

About Us

We provide a platform for our customers to rate and review services and products, as well as the stores that sell them. We research and compare the most popular brands and models before narrowing it down to the top ten, providing you with the most comprehensive and reliable buying advice to help you make your decision.

Disclaimer is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to As an Amazon Associate I earn from qualifying purchases.


Address & Map

20 S Santa Cruz Ave, Suite 300, Los Gatos, CA 95030, United States

© 2022 Pty. Ltd. All Rights Reserved. Licensing: All third-party trademarks, images, and copyrights used on this page are for comparative advertising, criticism, or review. As this is a public forum where users can express their opinions on specific products and businesses, the opinions expressed do not reflect those of