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SymGPT: Auditing Smart Contracts via Combining Symbolic Execution with Large Language Models

arXiv – CS AI|Shihao Xia, Mengting He, Shuai Shao, Tingting Yu, Yiying Zhang, Nobuko Yoshida, Linhai Song|March 3, 2026 at 05:00 AM|3 views

🤖AI Summary

Researchers have developed SymGPT, a new tool that combines large language models with symbolic execution to automatically audit smart contracts for ERC rule violations. The tool identified 5,783 violations in 4,000 real-world contracts, including 1,375 with clear attack paths for financial theft, outperforming existing automated analysis methods.

Key Takeaways

→SymGPT combines LLMs with symbolic execution to automatically verify smart contract compliance with ERC standards.
→The tool analyzed 132 ERC rules from three major standards to identify potential security vulnerabilities.
→Testing on 4,000 real-world contracts revealed 5,783 ERC rule violations, with 1,375 having clear financial theft attack paths.
→SymGPT outperformed six existing automated techniques and professional security auditing services.
→Current manual audits and existing tools remain ineffective at detecting ERC rule violations in smart contracts.

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#smart-contracts #security #audit #llm #symbolic-execution #erc-standards #ethereum #defi-security #automated-analysis

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