ReGuard finding reentrancy bugs in smart contracts
Smart contracts enabled a new way to perform cryptocurrency transactions over blockchains. While this emerging technique introduces free-of-conflicts and transparency, smart contract itself is vulnerable. As a special form of computer program, smart contract can hardly get rid of bugs. Even worse, a...
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| Veröffentlicht in: | 2018 IEEE/ACM 40th International Conference on Software Engineering: Companion (ICSE-Companion) S. 65 - 68 |
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| Hauptverfasser: | , , , , , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
New York, NY, USA
ACM
27.05.2018
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| Schriftenreihe: | ACM Conferences |
| Schlagworte: | |
| ISBN: | 145035663X, 9781450356633 |
| ISSN: | 2574-1934 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | Smart contracts enabled a new way to perform cryptocurrency transactions over blockchains. While this emerging technique introduces free-of-conflicts and transparency, smart contract itself is vulnerable. As a special form of computer program, smart contract can hardly get rid of bugs. Even worse, an exploitable security bug can lead to catastrophic consequences, e.g., loss of cryptocurrency/money. In this demo paper, we focus on the most common type of security bugs in smart contracts, i.e., reentrancy bug, which caused the famous DAO attack with a loss of 60 million US dollars. We presented ReGuard, an fuzzing-based analyzer to automatically detect reentrancy bugs in Ethereum smart contracts. Specifically, ReGuard performs fuzz testing on smart contracts by iteratively generating random but diverse transactions. Based on the runtime traces, ReGuard further dynamically identifies reentrancy vulnerabilities. In the preliminary evaluation, we have analyzed 5 existing Ethereum contracts. ReGuard automatically flagged 7 previously unreported reentrancy bugs. A demo video of ReGuard is at https://youtu.be/XxJ3_-cmUiY. |
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| ISBN: | 145035663X 9781450356633 |
| ISSN: | 2574-1934 |
| DOI: | 10.1145/3183440.3183495 |

