Unverified50% confidenceBenchmarkExact time
"INFUSE: A Unified Surface Benchmark for Indirect Prompt Injection in Agentic Systems" contains 40 real agent tasks, a taxonomy of 56 attack scenarios covering 5 threat categories, and tested approximately 41,800 adversarial trajectories on 19 LLMs.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
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Related Claims
UnverifiedPrinceton University's InjecAgent benchmark specifically tests the vulnerability of Agents under indirect injection attacks, providing a standardized test set covering different tool types and attack strategies.73% similarUnverifiedAutomated evaluation can explore an agent without any prior information and run adversarial tests such as jailbreaks, prompt injection, and multi-turn pressure at scale, covering the OWASP LLM Top 10 and the agent application security checklist.66% similarUnverifiedWhen an agent fails to execute a dangerous operation in the face of a Prompt Injection attack, this may stem from two paths: the security policy catching the malicious path, or the model avoiding the tool or task for unrelated reasons.66% similarUnverifiedAttackers may circumvent AI safety restrictions through jailbreak prompts, decomposing tasks step by step, or using the model for peripheral auxiliary work.64% similarVerifiedIndirect prompt injection refers to attack instructions hidden in external web pages, documents, or API responses accessed by an agent, where the malicious instructions are activated when the agent retrieves and injects them into the context.64% similar
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