Unverified50% confidenceFactExact time
Large models such as GPT-4 have demonstrated some vulnerability analysis capability on CTF challenges, but their accuracy in real-world complex codebases remains far below that of human experts.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/19/2026
First Seen
Valid until: 11/17/2026
Sources
AI自动挖漏洞真能躺赚？理性看待SRC白帽挖洞的真相
Related Claims
UnverifiedResearch shows that GPT-4, given a CVE description, can generate functional PoC code for certain known vulnerabilities, with success rates varying by vulnerability complexity and information richness.79% similarUnverifiedGPT-4 is capable of solving medium-difficulty binary exploitation challenges in CTF competitions, whereas GPT-3 is almost unable to complete full exploit development.77% similarUnverifiedEven top-tier models such as GPT-4 still exhibit significant error rates when processing numerically intensive financial data.76% similarUnverifiedThe Claude series has demonstrated capabilities on par with or even surpassing GPT-4 across multiple benchmarks, with particularly notable advantages in scenarios such as code generation and long-text understanding.75% similarUnverifiedModels such as GPT-4 demonstrated vulnerability discovery and exploitation capabilities in CTF competitions during 2022–2023.74% similar
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