AdvSCanner: Generating Adversarial Smart Contracts to Exploit Reentrancy Vulnerabilities Using LLM and Static Analysis
Abstract
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 rates and lack the ability to directly illustrate how vulnerabilities can be exploited in attacks.
BibTeX
@inproceedings{Wu-al:ASE24,
author = {Yin Wu and
Xiaofei Xie and
Chenyang Peng and
Dijun Liu and
Hao Wu and
Ming Fan and
Ting Liu and
Haijun Wang},
title = {{AdvSCanner:} Generating Adversarial Smart Contracts to Exploit Reentrancy Vulnerabilities Using {LLM} and Static Analysis},
booktitle = {ASE},
pages = {1019--1031},
publisher = {{ACM}},
year = {2024},
}