This report details how generative AI was used to accelerate the reverse engineering of XLoader malware. The researchers employed a combination of cloud-based static analysis using exported IDA data and occasional dynamic checks via MCP to rapidly unpack encrypted code, deobfuscate API calls, and decrypt strings and domain names. Key findings include three distinct function encryption schemes in XLoader 8.0 and a complex domain generation algorithm. The AI-assisted approach dramatically reduced analysis time from days to hours, enabling faster extraction of IoCs. However, human expertise was still required for the most sophisticated protection mechanisms. The report concludes that generative AI can serve as a force multiplier for malware analysis, though malware authors are likely to adapt their techniques in response. Author: AlienVault
Related Tags:
reverse engineering
generative ai
malware analysis
encryption
T1027.002
T1070.004
chatgpt
Obfuscation
XLoader
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