Machine learning models exploited to create malware

Some of the most notable machine learning tools can be hijacked in order to create super-powerful malware capable of bypassing most anti-virus systems, researchers have claimed. At the recent DEF CON event, security company Endgame revealed how it created customised malware using Elon Musk's own OpenAI framework to create malware that security engines were unable to detect. Endgame's research was based around taking binaries that appeared to be malicious, and by changing a few parts, that code could appear benign to antivirus engines. The company's technical director of data science, Hyrum Anderson, highlighted that even changing some small details could allow it to bypass AV engines and explained how machine learning models could be hijacked by hackers, saying, "All machine learning models have blind spots. Depending on how much knowledge a hacker has they can be convenient to exploit."