An Opcode-Based Vulnerability Detection of Smart Contracts

【Author】 Sui, Jia; Chu, Lili; Bao, Han

【Source】APPLIED SCIENCES-BASEL

【影响因子】2.838

【Abstract】Aiming at the problem of insufficient technology for detecting smart contract vulnerabilities and the lack of improvement of certain detection tools, a method for the expansion and improvement of the internal module of the Mythril method is proposed. Since the technology of detecting vulnerabilities is not yet mature and there are vulnerabilities in smart contracts, vulnerability detection is particularly important. Since the Mythril tool covers the most types of vulnerabilities, its accuracy rate is also the highest. In order to ensure the effect of smart contract vulnerability detection, this paper proposes the expansion and improvement of the internal module of Mythril, which realizes the operation of automatic vulnerability analysis when performing vulnerability detection by improving the operation efficiency and simplifying the operation of smart contract opcodes while analyzing them. The comparison of experimental results shows that the proposed method is more suitable for smart contract vulnerability detection, and the detection accuracy and efficiency are improved, with an average accuracy rate of 94.07%. It performs better in vulnerability detection and provides an effective guarantee for the security and reliability of smart contracts, which has important application value and research significance.

【Keywords】smart contract; solidity language; vulnerability detection; blockchain; operation code

【发表时间】2023 JUL

【收录时间】2023-08-01

【文献类型】实证数据

【主题类别】

区块链治理-技术治理-智能合约漏洞检测