Posted on

GPU Assisted Malware With CUDA and OpenCL


Malware
Malware writers constantly seek new methods to obfuscate their code so as to evade detection by virus scanners. Two code-armoring techniques that pose significant challenges to existing malicious-code detection and analysis
systems are unpacking and run-time polymorphism. In this paper, we demonstrate how malware can increase its robustness against detection by taking advantage of the ubiquitous Graphics Processing Unit. We have designed and implemented unpacking and run-time polymorphism for a GPU, and tested them using existing graphics hardware. We also discuss how upcoming GPU features can be utilized to build even more robust, evasive, and functional malware.

Download paper: GPU Malware

[via]

Advertisements

About GPUToaster

https://gputoaster.wordpress.com/about

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s