@inproceedings{81f3813354704cfa8af9dd2221230a4b,
title = "EOSFuzzer: Fuzzing EOSIO Smart Contracts for Vulnerability Detection",
abstract = "EOSIO is one typical public blockchain platform. It is scalable in terms of transaction speeds and has a growing ecosystem supporting smart contracts and decentralized applications. However, the vulnerabilities within the EOSIO smart contracts have led to serious attacks, which caused serious financial loss to its end users. In this work, we systematically analyzed three typical EOSIO smart contract vulnerabilities and their related attacks. Then we presented EOSFuzzer, a general black-box fuzzing framework to detect vulnerabilities within EOSIO smart contracts. In particular, EOSFuzzer proposed effective attacking scenarios and test oracles for EOSIO smart contract fuzzing. Our fuzzing experiment on 3963 EOSIO smart contracts shows that EOSFuzzer is both effective and efficient to detect EOSIO smart contract vulnerabilities with high accuracy.",
keywords = "Blockchain, Fuzzing, Smart contract, Vulnerability detection",
author = "Yuhe Huang and Bo Jiang and Chan, \{W. K.\}",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 12th Asia-Pacific Symposium on Internetware, Internetware''2020 ; Conference date: 12-05-2021 Through 14-05-2021",
year = "2020",
month = nov,
day = "1",
doi = "10.1145/3457913.3457920",
language = "英语",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery ",
pages = "99--109",
booktitle = "12th Asia-Pacific Symposium on Internetware, Internetware''2020",
address = "美国",
}