Cybersecurity researchers have successfully demonstrated how artificial intelligence can dramatically accelerate malware analysis, decrypting complex XLoader samples in a fraction of the time previously required. XLoader, a sophisticated malware loader with information-stealing capabilities dating back to 2020, has long been considered one of the most challenging malware families to analyze. The malware combines multiple layers […]

The post XLoader Malware Analyzed Using ChatGPT’s AI, Breaks RC4 Encryption Layers in Hours appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

Mayura Kathir

Source: gbHackers
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