DoubleX: Statically Detecting Vulnerable Data Flows in Browser Extensions at Scale

Author:

Fass Aurore1,Somé Dolière Francis1,Backes Michael1,Stock Ben1

Affiliation:

1. CISPA Helmholtz Center for Information Security, Saarbruecken, Germany

Publisher

ACM

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. FakeX: A Framework for Detecting Fake Reviews of Browser Extensions;Proceedings of the 19th ACM Asia Conference on Computer and Communications Security;2024-07

2. Efficient Static Vulnerability Analysis for JavaScript with Multiversion Dependency Graphs;Proceedings of the ACM on Programming Languages;2024-06-20

3. Jasmine: Scale up JavaScript Static Security Analysis with Computation-based Semantic Explanation;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

4. Undefined-oriented Programming: Detecting and Chaining Prototype Pollution Gadgets in Node.js Template Engines for Malicious Consequences;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

5. RogueOne: Detecting Rogue Updates via Differential Data-flow Analysis Using Trust Domains;Proceedings of the IEEE/ACM 46th International Conference on Software Engineering;2024-04-12

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