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.