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P2 Cross-contract static analysis for detecting practical reentrancy vulnerabilities in smart contracts

面向智能合约实际重入漏洞检测的跨合约静态分析
ASE Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering2020匹配度 2/10 · 该论文属于程序分析与抽象解释在智能合约安全中的应用,与用户画像中的静态分析有宽泛关联;但其核心是跨合约重入漏洞检测,不涉及 LLM/Agent、ML 系统、浮点程序分析或贝叶斯程序分析等具体追方向。引用 81 inbox
Yinxing Xue, Mingliang Ma, Yun Lin, Yulei Sui, Jiaming Ye, Tianyong Peng
crossref: 2026-09-12

AI 速览

一句话:提出跨合约静态分析,以检测多合约交互场景中实际可触发的重入漏洞。

重入漏洞是智能合约中最严重的安全缺陷之一,近年来造成巨大经济损失。已有检测方法在待测代码涉及多个智能合约交互时,常出现不理想的误报和漏报。本文基于标题提出跨合约静态分析,用于检测实际可触发的重入漏洞,核心目标是覆盖多合约交互路径下的重入风险,提升检测准确性。摘要未给出具体分析算法、实现细节与实验评估结果。

问题
重入漏洞危害严重,而现有检测方法在代码涉及多个智能合约交互时存在较高误报与漏报。
方法
论文提出跨合约静态分析来检测实际重入漏洞,针对多合约交互场景;摘要未展开具体技术细节。
评估
摘要未报告评估方式与结果。
原文摘要(Abstract)

Reentrancy bugs, one of the most severe vulnerabilities in smart contracts, have caused huge financial loss in recent years. Researchers have proposed many approaches to detecting them. However, empirical studies have shown that these approaches suffer from undesirable false positives and false negatives, when the code under detection involves the interaction between multiple smart contracts.

链接与引用

DOI 原文 ·

BibTeX
@inproceedings{paperbot5959,
  title = {Cross-contract static analysis for detecting practical reentrancy vulnerabilities in smart contracts},
  author = {Yinxing Xue and Mingliang Ma and Yun Lin and Yulei Sui and Jiaming Ye and Tianyong Peng},
  booktitle = {ASE},
  year = {2020},
  doi = {10.1145/3324884.3416553}
}