ReuNify: A Step Towards Whole Program Analysis for React Native Android Apps
Yonghui Liu, Xiao Chen, Pei Liu, John Grundy, Chunyang Chen, Li Li
摘要
React Native is a widely-used open-source frame-work that facilitates the development of cross-platform mobile apps. The framework enables JavaScript code to interact with native-side code, such as Objective-C/Swift for iOS and Java/Kotlin for Android, via a communication mechanism provided by React Native. However, previous research and tools have overlooked this mechanism, resulting in incomplete analysis of React Native app code. To address this limitation, we have developed REUNIFY, a prototype tool that integrates the JavaScript and native-side code of React Native apps into an intermediate language that can be processed by the Soot static analysis framework. By doing so, REUNIFY enables the generation of a comprehensive model of the app's behavior. Our evaluation indicates that, by leveraging REUNIFY, the Soot-based framework can improve its coverage of static analysis for the 1,007 most popular React Native Android apps, augmenting the number of lines of Jimple code by 70%. Additionally, we observed an average increase of 84% in new nodes reached in the callgraph for these apps, after integrating REUNIFY. When REUNIFY is used for taint flow analysis, an average of two additional privacy leaks were identified. Overall, our results demonstrate that REUNIFY significantly enhances the Soot-based framework's capability to analyze React Native Android apps.
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- TaintART: A Practical Multi-level Information-Flow Tracking System for Android RunTimeMingshen Sun, Tao Wei, John C. S. LuiCCS 2016 · 被引用 188 次
- JN-SAF: Precise and Efficient NDK/JNI-aware Inter-language Static Analysis Framework for Security Vetting of Android Applications with Native CodeFengguo Wei, Xingwei Lin, Xinming Ou, Ting Chen 等CCS 2018 · 被引用 93 次
- Mobile App SquattingYangyu Hu, Haoyu Wang, Ren He, Li Li 等WWW 2020 · 被引用 44 次
- JuCify: A Step Towards Android Code Unification for Enhanced Static AnalysisJordan Samhi, Jun Gao, Nadia Daoudi, Pierre Graux 等ICSE 2022 · 被引用 43 次
- Mining Android API Usage to Generate Unit Test Cases for Pinpointing Compatibility IssuesXiaoyu Sun, Xiao Chen, Yanjie Zhao, Pei Liu 等ASE 2022 · 被引用 16 次
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