We also found additional risks in the evaluation pipeline. Tasks using must_include scoring check for substring presence in the page DOM — a hidden injected by the agent is enough to satisfy the check without the answer appearing visibly. Tasks scored by an LLM judge pass agent content directly into the prompt without sanitization, making prompt injection straightforward: a comment appended to the agent’s reply can reliably bias the judge’s decision. Neither vector requires filesystem access, complementing the file:// exploit.
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