GPU side channel attacks can enable spying on web activity, password stealing

Computer scientists at the University of California, Riverside have revealed for the first time how easily attackers can use a computer’s graphics processing unit, or GPU, to spy on web activity, steal passwords, and break into cloud-based applications.

The researchers reverse engineered a Nvidia GPU to demonstrate three attacks on both graphics and computational stacks, as well as across them. All three attacks require the victim to first acquire a malicious program embedded in a downloaded app. The program is designed to spy on the victim’s computer.

Read more about the GPU side channel attacks on Help Net Security.