AI systems can generate working exploits for published CVEs in just 10-15 minutes

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Relevant to AI safety discussions around dual-use capabilities and deployment risks; illustrates how frontier AI coding abilities can rapidly translate into real-world offensive cyber threats, informing debates on capability disclosure and model deployment safeguards.

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Importance: 62/100news articlenews

Summary

Research demonstrates that AI systems, particularly large language models, can autonomously generate functional exploit code for known CVE vulnerabilities in as little as 10-15 minutes. This capability significantly lowers the barrier for cyberattacks by enabling even low-skilled actors to rapidly weaponize disclosed vulnerabilities. The findings raise urgent concerns about the accelerating timeline between vulnerability disclosure and active exploitation.

Key Points

•LLMs can produce working exploit code for published CVEs in 10-15 minutes, dramatically compressing the vulnerability-to-exploit timeline.
•This capability democratizes cyberattack execution, enabling less skilled threat actors to leverage sophisticated exploits with minimal effort.
•The speed of AI-assisted exploitation outpaces traditional patch deployment cycles, increasing the window of risk for unpatched systems.
•Findings highlight a dual-use risk inherent in capable AI coding systems when applied to publicly available vulnerability disclosures.
•Critical infrastructure and widely-used software face heightened risk as AI lowers the cost and expertise required for targeted attacks.

Cited by 1 page

Page	Type	Quality
Cyberweapons Risk	Risk	91.0

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2 min.Read

# AI Systems Capable of Generating Working Exploits for CVEs in Just 10–15 Minutes

[![Divya](https://secure.gravatar.com/avatar/030ce841d650bd7608e500f5df725da8758a0fd9fe0397842fb061f63cbf20a2?s=96&d=mm&r=g)](https://gbhackers.com/author/divya/ "Divya")

By [Divya](https://gbhackers.com/author/divya/)

August 22, 2025

Resource ID: a75226ca2cfc4b0f | Stable ID: MzhjOTVlZj