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The Power of Words: Generating PowerShell Attacks from Natural Language
April 22, 2024, 4:11 a.m. | Pietro Liguori, Christian Marescalco, Roberto Natella, Vittorio Orbinato, Luciano Pianese
cs.CR updates on arXiv.org arxiv.org
Abstract: As the Windows OS stands out as one of the most targeted systems, the PowerShell language has become a key tool for malicious actors and cybersecurity professionals (e.g., for penetration testing). This work explores an uncharted domain in AI code generation by automatically generating offensive PowerShell code from natural language descriptions using Neural Machine Translation (NMT). For training and evaluation purposes, we propose two novel datasets with PowerShell code samples, one with manually curated descriptions …
arxiv attacks code cs.cr cs.se cybersecurity cybersecurity professionals domain key language malicious malicious actors natural natural language offensive penetration penetration testing power powershell professionals systems testing tool windows windows os work
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