Access member only content, take part in discussions with comments on blogs, news and reviews and receive all the latest security industry news directly to your inbox. Join now for free.
Processing registration... Please wait.
This process can take up to a minute to complete.
A confirmation email has been sent to your email address - SUPPLIED EMAIL HERE. Please click on the link in the email to verify your email address. You need to verify your email before you can start posting.
If you do not receive your confirmation email within the next few minutes, it may be because the email has been captured by a junk mail filter. Please ensure you add the domain @scmagazine.com.au to your white-listed senders.
Researchers in Vietnam will be demonstrating how to hack facial recognition biometrics at the Black Hat security convention currently underway in the US.
Nguyen Minh Duc, head of the application security department at the Bach Khoa Internetwork Security Center at Hanoi University of Technology, will be demonstrating how to beat the facial recognition systems built into some Lenovo, Toshiba and Asus laptops.
The systems use the laptop’s built-in webcam to take a picture of the user’s face, so that it can be used instead of a fingerprint or password to access the device. But according to Duc this system can be beaten in a variety of ways.
“The mechanisms used by those three vendors haven’t met the security requirements needed by an authentication system, and they cannot wholly protect their users from being tampered,” he said.
“There is no way to fix this vulnerability. ASUS, Lenovo, and Toshiba have to remove this function from all the models of their laptops … [they] must give an advisory to users all over the world: Stop using this [biometric] function.”
The researchers used the obvious method of showing the camera a picture of the registered user and this was reasonably successful. However the system could also be bypassed by showing the camera pictures of other people’s faces after playing around with light and shade settings.
Duc will be showing how to beat Lenovo's Veriface III, Asus' SmartLogon V1.0.0005, and Toshiba's Face Recognition 22.214.171.124 using these techniques.
To begin commenting right away, you can log in below or register an account if you don't yet have one. Please read our guidelines on commenting. Offending posts will be removed and your access may be suspended. Abusive or obscene language will not be tolerated. The comments below do not necessarily reflect the views or opinions of SC Magazine, Haymarket Media or its employees.