AI Could Generate 10,000 Malware Variants, Evading Detection in 88% of Case,
Cybersecurity researchers have found that it’s possible to use large language models (LLMs) to generate new variants of malicious JavaScript code at scale in a manner that can better evade detection.
« Although LLMs struggle to create malware from scratch, criminals can easily use them to rewrite or obfuscate existing malware, making it harder to detect, » Palo Alto Networks Unit 42 researchers
« Although LLMs struggle to create malware from scratch, criminals can easily use them to rewrite or obfuscate existing malware, making it harder to detect, » Palo Alto Networks Unit 42 researchers
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Cybersecurity researchers have found that it’s possible to use large language models (LLMs) to generate new variants of malicious JavaScript code at scale in a manner that can better evade detection.
« Although LLMs struggle to create malware from scratch, criminals can easily use them to rewrite or obfuscate existing malware, making it harder to detect, » Palo Alto Networks Unit 42 researchers
« Although LLMs struggle to create malware from scratch, criminals can easily use them to rewrite or obfuscate existing malware, making it harder to detect, » Palo Alto Networks Unit 42 researchers
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https://thehackernews.com/2024/12/ai-could-generate-10000-malware.html