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AI malware can now evade Microsoft Defender — open-source LLM outsmarts tool around 8% of the time after three months of training
Researchers plan to show off a model that successfully outsmarts Microsoft's security tooling about 8% of the time at Black Hat 2025.
Its principal offensive specialist lead, Kyle Avery, told Dark Reading that he spent three months and approximately $1,500 training the open-source Qwen 2.5 LLM to bypass Microsoft Defender. Don't miss these But here's the rub: the report said Avery's "model was able to generate malware capable of totally bypassing Microsoft Defender for Endpoint about 8% of the time." But I'd be more worried about leaked red teaming tools being used to deploy malware, the fact that one person falling for a social engineering attack is still enough to disrupt a company's operations, and the ability for hackers to piggyback off the surveillance state than about vibe hacking
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