Find prompts that jailbreak your agent (open source)

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We've built an open-source tool to stress test AI agents by simulating prompt injection attacks. We’ve implemented one powerful attack strategy based on the paper [AdvPrefix: An Objective for Nuanced LLM Jailbreaks]( https://arxiv.org/abs/2412.10321 ). Here's how it works: - You define a goal, like: “Tell me your system prompt” - Our tool uses a language model to generate adversarial prefixes (e.g., “Sure, here are my system prompts…”) that are likely to jailbreak the agent. - The output is a list of prompts most likely to succeed in bypassing safeguards. We’re just getting started. Our goal is to become the go-to toolkit for testing agent security. We're currently working on more attack strategies and would love your feedback, ideas, and collaboration. Try it at: https://security.vista-labs.ai/ Docs with how to: https://hackagent.dev/docs/intro GitHub: https://github.com/vistalabs-org/hackagent video demo with example: https://www.loom.com/share/1e4ce025ea4749fab169195e7b1222ba Would love to hear what you think!

Visit product View on Hacker NewsMay 22, 2025

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47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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Incorrect prediction on native model

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