xFuzz: Machine learning guided cross-contract fuzzing

• Main Authors: XUE, Yinxing, YE, Jiaming, ZHANG, Wei, SUN, Jun, MA, Lei, WANG, Haijun, ZHAO, Jianjun
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Smart Contract; Fuzzing; Cross-contract Vulnerability; Machine Learning; Databases and Information Systems; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/9213; https://ink.library.smu.edu.sg/context/sis_research/article/10219/viewcontent/2111.12423v2.pdf
• Institution: Singapore Management University

Smart contract transactions are increasingly interleaved by cross-contract calls. While many tools have been developed to identify a common set of vulnerabilities, the cross-contract vulnerability is overlooked by existing tools. Cross-contract vulnerabilities are exploitable bugs that manifest in t...