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New 'JustAsk' Framework Exposes System Prompt Vulnerabilities in AI Code Agents

A new research paper introduces "JustAsk," a framework designed to extract system prompts from large language models, particularly those used in autonomous code agents. This method requires no pre-existing prompts or labeled data, instead relying on the agent's interaction capabilities to discover vulnerabilities. Tested on 41 commercial models, JustAsk successfully recovered full or near-complete system prompts, highlighting a significant security risk in current agent designs. AI

IMPACT Reveals a critical security vulnerability in autonomous AI agents, potentially impacting the safety and integrity of LLM-based systems.

RANK_REASON The cluster contains a research paper detailing a new method for extracting system prompts from AI models. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New 'JustAsk' Framework Exposes System Prompt Vulnerabilities in AI Code Agents

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Xiang Zheng, Yutao Wu, Hanxun Huang, Yige Li, Xingjun Ma, Bo Li, Yu-Gang Jiang, Cong Wang ·

    Just Ask: Curious Code Agents Reveal System Prompts in Frontier LLMs

    arXiv:2601.21233v2 Announce Type: replace Abstract: Autonomous code agents built on large language models are reshaping software and AI development through tool use, long-horizon reasoning, and self-directed interaction. However, this autonomy introduces a previously unrecognized…