xFuzz: Machine learning guided cross-contract fuzzing

xFuzz: Machine learning guided cross-contract fuzzing

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/9213
https://ink.library.smu.edu.sg/context/sis_research/article/10219/viewcontent/2111.12423v2.pdf

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