ItyFuzz: Snapshot-Based Fuzzer for Smart Contract
Chaofan Shou, Shangyin Tan, Koushik Sen
摘要
Smart contracts are critical financial instruments, and their security is of utmost importance. However, smart contract programs are difficult to fuzz due to the persistent blockchain state behind all transactions. Mutating sequences of transactions are complex and often lead to a suboptimal exploration for both input and program spaces. In this paper, we introduce a novel snapshot-based fuzzer ItyFuzz for testing smart contracts. In ItyFuzz, instead of storing sequences of transactions and mutating from them, we snapshot states and singleton transactions. To explore interesting states, ItyFuzz introduces a dataflow waypoint mechanism to identify states with more potential momentum. ItyFuzz also incorporates comparison waypoints to prune the space of states. By maintaining snapshots of the states, ItyFuzz can synthesize concrete exploits like reentrancy attacks quickly. Because ItyFuzz has second-level response time to test a smart contract, it can be used for on-chain testing, which has many benefits compared to local development testing. Finally, we evaluate ItyFuzz on real-world smart contracts and some hacked on-chain DeFi projects. ItyFuzz outperforms existing fuzzers in terms of instructional coverage and can find and generate realistic exploits for on-chain projects quickly. CCS CONCEPTS • Software and its engineering → Software testing and debugging.
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引用它的顶会 Paper25
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- Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based ReasoningBrian Zhang, Zhuo ZhangNeurIPS 2024 · 被引用 12 次
- Safeguarding DeFi Smart Contracts against Oracle DeviationsXun Deng, Sidi Mohamed Beillahi, Cyrus Minwalla, Han Du 等ICSE 2024 · 被引用 12 次
它引用的顶会 Paper11
- VUzzer: Application-aware Evolutionary FuzzingSanjay Rawat, Vivek Jain, Ashish Kumar, Lucian Cojocar 等NDSS 2017 · 被引用 700 次
- ZEUS: Analyzing Safety of Smart ContractsSukrit Kalra, Seep Goel, Mohan Dhawan, Subodh SharmaNDSS 2018 · 被引用 595 次
- QSYM : A Practical Concolic Execution Engine Tailored for Hybrid FuzzingInsu Yun, Sangho Lee, Meng Xu, Yeongjin Jang 等USENIX Security 2018 · 被引用 537 次
- T-Fuzz: Fuzzing by Program TransformationHui Peng, Yan Shoshitaishvili, Mathias PayerS&P 2018 · 被引用 326 次
- SlowFuzz: Automated Domain-Independent Detection of Algorithmic Complexity VulnerabilitiesTheofilos Petsios, Jason Zhao, Angelos D. Keromytis, Suman JanaCCS 2017 · 被引用 214 次
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