AdvSCanner : Generating adversarial smart contracts to exploit reentrancy vulnerabilities using LLM and static analysis

• Main Authors: WU, Yin, XIE, Xiaofei, PENG, Chenyang, LIU, Dijun, WU, Hao, FAN, Ming, LIU, Tin, WANG, Haijun
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Reentrancy vulnerabilities detection; Adversarial smart contracts; Large language models; LLMS; Artificial Intelligence and Robotics; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/9798
• Institution: Singapore Management University

Smart contracts are prone to vulnerabilities, with reentrancy attacks posing significant risks due to their destructive potential. While various methods exist for detecting reentrancy vulnerabilities in smart contracts, such as static analysis, these approaches often suffer from high false positive...