AntFuzzer: A Grey-Box Fuzzing Framework for EOSIO Smart Contracts

In recent years, vulnerabilities in EOSIO smart contracts (hereafter referred to as contracts) have led to significant financial losses. Grey-box fuzzing, as a lightweight test generation approach, can enhance the security of EOSIO contracts. However, developing a grey-box fuzzer from scratch is time-consuming and requires a deep understanding of EOSIO internals. In this work, we proposed AntFuzzer, the first highly extensible grey-box fuzzing framework for EOSIO contracts. AntFuzzer implements a novel approach that interfaces AFL (American Fuzzy Lop) to conduct AFL-style grey-box fuzzing on EOSIO contracts. Compared to black-box fuzzing tools, AntFuzzer can effectively trigger those hard-to-cover branches. It improved code coverage on 37.5% of contracts in our benchmark dataset. AntFuzzer also provides unified interfaces for developing new detection plugins for emerging vulnerabilities. We implemented six plugins that detected 741 vulnerabilities across 4,616 real-world contracts in large-scale fuzzing experiments, demonstrating AntFuzzer’s effectiveness and efficiency.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/hpcc64274.2024.00059
Primary Topic
Securities Regulation and Market Practices
Type
article
Field-Weighted Citation Impact
0.00

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article

AntFuzzer: A Grey-Box Fuzzing Framework for EOSIO Smart Contracts

Renkai Jiang, Ping Miao, Jiahao He, Yongjie Zhang et al.
Securities Regulation and Market Practices
article

AntFuzzer: A Grey-Box Fuzzing Framework for EOSIO Smart Contracts

Renkai Jiang, Ping Miao, Jiahao He, Yongjie Zhang, Ting Chen, Tianxing Jiang, Shuwei Song, Jianfei Zhou
article en

Abstract

In recent years, vulnerabilities in EOSIO smart contracts (hereafter referred to as contracts) have led to significant financial losses. Grey-box fuzzing, as a lightweight test generation approach, can enhance the security of EOSIO contracts. However, developing a grey-box fuzzer from scratch is time-consuming and requires a deep understanding of EOSIO internals. In this work, we proposed AntFuzzer, the first highly extensible grey-box fuzzing framework for EOSIO contracts. AntFuzzer implements a novel approach that interfaces AFL (American Fuzzy Lop) to conduct AFL-style grey-box fuzzing on EOSIO contracts. Compared to black-box fuzzing tools, AntFuzzer can effectively trigger those hard-to-cover branches. It improved code coverage on 37.5% of contracts in our benchmark dataset. AntFuzzer also provides unified interfaces for developing new detection plugins for emerging vulnerabilities. We implemented six plugins that detected 741 vulnerabilities across 4,616 real-world contracts in large-scale fuzzing experiments, demonstrating AntFuzzer’s effectiveness and efficiency.

Zhejiang Sci-Tech University (CN), University of Electronic Science and Technology of China (CN)
National Natural Science Foundation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 56%
Securities Regulation and Market Practices
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