Exploring the Impact of LLM Assisted Malware Variants on Anti-Virus Detection
Zhewei Huang, Yin Minn Pa Pa, Katsunari Yoshioka · 2024
In this study, we develop 400 malware variants of four different types of test malware samples by rewriting their original source code with OpenAI's gpt-3.5-turbo model [1], and investigate if these samples can be detected by anti-virus. From this investigation, we find that about half of the malware variant function correctly and$37.6\pm 33.6$% of them evade anti-virus detection for each malware type and anti-virus.