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PARASITE: Conditional System Prompt Poisoning to Hijack LLMs
PARASITE attack poisons system prompts conditionally to hijack LLMs via supply chain compromise.
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arXiv:2505.16888v4 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly deployed via third-party system prompts downloaded from public marketplaces. We identify a critical supply-chain vulnerability: conditional system prompt poisoning, where an adversary injects a ``sleeper agent'' into a benign-looking prompt. Unlike traditional jailbreaks that aim for broad refusal-breaking, our proposed framework, PARASITE, optimizes system prompts to trigger LLMs to output targete
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Read the full report at arXiv Crypto & SecurityExternal link — opens at arXiv Crypto & Security in a new tab.
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