Detection and Explanation of PowerShell Malware with Large Language Models
The application of LLMs for detecting malicious PowerShell scripts and producing human-interpretable explanations for their classification decisions are investigated, showing that LLMs are capable of identifying and explaining malicious PowerShell scripts, although performance varies across different models.