Socket: malware exploits AI safety to evade scanners

Attackers are turning the safety guardrails of LLMs into an evasion tool, highlighting a structural vulnerability in AI security pipelines that treat safety refusals as a blocking mechanism rather than a high-risk indicator.

* AI safety alignment (specifically guardrails against discussing WMDs) creates a novel attack vector (adversarial refusal) that bypasses automated code reviews.

* Security scanners that rely solely on first-order LLM analysis without fallback traditional static analysis are highly vulnerable to this evasion technique.

* A robust AI malware analysis pipeline must be designed to catch refusal triggers, treating any safety-induced refusal as an automatic quarantine or red flag rather than letting the code pass.