Windows’ Facial Recognition has been Spoofed by Printed Photographs
Windows Hello—the latest face scanning security feature in Windows 10, has now been defeated with the use of a color printed picture, according to ZDNet reports on December 21, 2017.
Escalating application of wearable and portable biometric devices as well as increasing digitalization are significantly driving demand for biometric sensors, as per biometric sensors market report published by Coherent Market Insights. Fingerprint and facial recognition sensors are rapidly being integrated with several portable devices, as a means of enhanced security.
However, these sensors, if easily deceived can cause major security vulnerabilities and risks of threat. This has been observed by a latest hack to a facial security application on Windows. Researchers from the German firm—SYSS—have defeated Windows Hello on Windows 10 machines running older versions of the operating system.
SYSS tested Pro 4 device running Windows 10 recent update and found it was vulnerable. The anti-spoofing feature of Windows Hello were unable to help protect systems running older versions of Windows 10. SYSS found that if the anti-spoofing feature is disabled on the Creators Update or Fall Creators Update, then one can still bypass Windows Hello. Many modern laptops do not support the anti-spoofing feature of Windows Hello, thus these devices are still vulnerable even after the latest Windows updates.
They found that Windows 10 Fall Creators Update, which is known to fix exploits when anti-spoofing is enabled, might not be enough to block the attack. Security researchers are recommending that Windows 10 users with Windows Hello enabled go back into settings and setup the facial recognition again, and also ensure that anti-spoofing is enabled if a device supports it.
The attack was known to be as easy as requiring a printed picture of the authenticated user with an infrared camera, to avoid complete successful scanning by the device.
Similar spoofing attacks were witnessed by Samsung’s Galaxy S8 facial scanner, requiring far less sophisticated images.
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