Navigating AI and Kernel Exploitation: A Unique Journey
Last week, I embarked on a challenging project to develop a kernel n-day exploit. Despite AI’s buzz, I found myself doing much of the heavy lifting cognitively. My exploration revolved around understanding CVE-2023-0461 and how AI agents can adapt to tackle complex exploitation problems.
Key Highlights:
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Challenge Background:
- Targeting Ubuntu kernel linux-5.15.0-25.25, adjacent to known KernelCTF issues.
- Insight into timing gaps and their impact on exploit success.
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AI Tool Testing:
- Conducted tests on various coding agents, from Codex to Opus.
- Results showed varying efficiencies, highlighting the limitations of current models.
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Exploit Development:
- Created a microservice for real-time exploit testing.
- Emphasized the need for effective subtask division to enhance AI performance.
Curious about AI’s evolving role in cybersecurity? Let’s discuss, share experiences, and reshape the narrative around AI in this field. Your thoughts are invited! 💭🔗 Share this post and join the conversation!
