One Article Review
| Source |  The Hacker News |
|---|---|
| Identifiant | 8629128 |
| Date de publication | 2024-12-23 19:18:00 (vue: 2024-12-23 14:08:12) |
| Titre | AI Could Generate 10,000 Malware Variants, Evading Detection in 88% of Case |
| Texte | 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
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 |
| Notes | ★★★ |
| Envoyé | Oui |
| Condensat | 000 although alto better can case code could create criminals cybersecurity detect detection easily evade evading existing found from generate harder have javascript language large llms making malicious malware manner models networks new obfuscate palo possible researchers rewrite scale scratch struggle them unit use variants |
| Tags | Malware |
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