AdvSCanner: Generating Adversarial Smart Contracts to Exploit Reentrancy Vulnerabilities Using LLM and Static Analysis

Smart contracts are prone to vulnerabilities, with reentrancy attacks posing significant risks due to their destructive potential. While various methods exist for detecting reentrancy vulnerabilities in smart contracts, such as static analysis, these approaches often suffer from high false positive...

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Vydáno v:	IEEE/ACM International Conference on Automated Software Engineering : [proceedings] s. 1019 - 1031
Hlavní autoři:	Wu, Yin, Xie, Xiaofei, Peng, Chenyang, Liu, Dijun, Wu, Hao, Fan, Ming, Liu, Ting, Wang, Haijun
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	ACM 27.10.2024
Témata:	Analytical models Code Generation Large Language Model Large language models Reentrancy Vulnerability Security Smart Contract Smart contracts Software Software engineering Static analysis
ISSN:	2643-1572
On-line přístup:	Získat plný text
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