
Large language models can effectively automate a substantial portion of the malware deobfuscation process, with state-of-the-art models exhibiting promising capabilities in processing and understanding obfuscated code, though challenges remain in minimizing hallucinations and expanding input size.


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evaluating-large-language-models-for-deobfuscating-malicious-powershell-scripts-in-real-world-malware-campaigns


Evaluating Large Language Models for Deobfuscating Malicious PowerShell Scripts in Real-World Malware Campaigns
