LLMs disrupt CTF cybersecurity competitions, new paper proposes safeguards

A new paper published on arXiv explores the significant impact of large language models (LLMs) on Capture the Flag (CTF) cybersecurity competitions. The research indicates that LLMs can now reliably solve many challenges in cryptography, web exploitation, and binary exploitation, raising concerns about competition fairness and the educational value of CTFs. To address these issues, the paper proposes a four-component framework including tiered divisions, LLM-resistant challenge design, telemetry, and a code of conduct. AI

IMPACT LLMs are automating cybersecurity training challenges, necessitating new approaches to ensure fair play and effective skill development.

RANK_REASON The cluster contains an academic paper discussing research findings and proposing a framework. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• arXiv
• Binary Exploitation
• Capture the Flag
• computer security
• cryptography
• large-language models
• Michael O. Macaulay
• Web Exploitation

• paper
• safety
• product

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