This report describes how generative AI techniques were utilized to accelerate the reverse engineering of XLoader malware, specifically version 8.0. By combining cloud-based static analysis of IDA exported data with dynamic checks, researchers rapidly unpacked encrypted code, deobfuscated API calls, and decrypted strings and domain names. The analysis uncovered three distinct function encryption schemes and a complex domain generation algorithm used by XLoader. The AI-assisted approach significantly reduced analysis time from days to hours, enabling faster extraction of indicators of compromise (IoCs). Despite AI's assistance, human expertise remained essential for overcoming the most sophisticated protections. The report highlights that generative AI can serve as a force multiplier for malware analysis, though malware authors may adapt their techniques in response. The threat is assessed as medium severity, with no known exploits in the wild currently. Several IoCs including hashes and suspicious domains are provided for detection and blocking.
