Towards Automated Security Analysis of Smart Contracts based on Execution Property Graph

Kaihua Qin, Zhe Ye, Zhun Wang, Weilin Li, Liyi Zhou, chao zhang, Dawn Song, Arthur Gervais

Identifying and mitigating vulnerabilities in smart contracts is crucial, especially considering the rapid growth and increasing complexity of Decentralized Finance (DeFi) platforms. To address the challenges associated with securing these contracts, we introduce a versatile dynamic analysis framework specifically designed for the Ethereum Virtual Machine (EVM). This comprehensive framework focuses on tracking contract executions, capturing valuable runtime information, while introducing and employing the Execution Property Graph (EPG) to propose a unique graph traversal technique that swiftly detects potential smart contract attacks. Our approach showcases its efficacy with rapid average graph traversal time per transaction and high true positive rates. The successful identification of a zero-day vulnerability affecting Uniswap highlights the framework's potential to effectively uncover smart contract vulnerabilities in complex DeFi systems.

Knowledge Graph



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