Homoglyph Evasion Exploits LLM Prompt Filters

A security vulnerability has been identified where LLM prompt filters can be bypassed using homoglyph evasion techniques. Attackers can substitute Cyrillic or other non-ASCII characters that visually resemble standard ASCII characters into prompts, rendering them undetectable by simple string-matching filters. The proposed solution involves normalizing prompts to a canonical ASCII form for detection purposes before forwarding the original, unaltered prompt to the LLM, thus ensuring that visually similar but byte-distinct inputs are treated identically by security measures. AI

IMPACT This technique highlights a critical security flaw in LLM prompt filtering, necessitating robust normalization strategies to prevent prompt injection and jailbreaks.

RANK_REASON The item describes a specific technique and a tool (agentsentry-gateway) to mitigate a security vulnerability in LLMs.

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• safety
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