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How Malware Authors Are Incorporating LLMs to Evade Detection

Cyberattackers integrate large language models (LLMs) into the malware, running prompts at runtime to evade detection and augment their code on demand.

Malicious LLMs empower inexperienced hackers with advanced tools

Unrestricted large language models (LLMs) like WormGPT 4 and KawaiiGPT are improving their capabilities to generate malicious ...

New ShadowV2 botnet malware used AWS outage as a test opportunity

A new Mirai-based botnet malware named 'ShadowV2' has been observed targeting IoT devices from D-Link, TP-Link, and other ...