How Malware Authors Are Incorporating LLMs to Evade Detection
darkreading
Summary
Cyberattackers are leveraging large language models (LLMs) to enhance their malware capabilities, enabling them to run prompts in real-time to avoid detection. This integration poses a significant threat as it allows for dynamic code augmentation, making traditional detection methods less effective.
Original Article Summary
Cyberattackers are integrating large language models (LLMs) into the malware, running prompts at runtime to evade detection and augment their code on demand.
Impact
Not specified
In the Wild
Unknown
Timeline
Not specified
Remediation
Not specified