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NargesSadat Bathaeian

Academic rank: Instructor
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Education: MSc.
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Faculty: Faculty of Engineering
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Research

Title
Highly Precise and Efficient Analysis of PendingIntent Vulnerabilities for Android Apps
Type
JournalPaper
Keywords
android; intent analysis; PendingIntent; PIAnalyzer; vulnerability
Year
2024
Journal Security and Communication Networks
DOI
Researchers Azadeh Sarvazimi ، mehdi sakhaei nia ، NargesSadat Bathaeian

Abstract

The expanding development of android applications is partially due to the communication model, named inter-component communication (ICC) model. PendingIntent (PI) is a powerful feature that is used for ICC. Many android developers use PI in their apps, but if it is used insecurely, it can pose risks and result in different types of attacks like denial of service, privilege escalation, and data leakage. Hence, it is crucial to detect vulnerabilities related to PI before android apps are released on Android app stores. In this paper, a new PI-related vulnerability is introduced, which is detected by the proposed method in addition to the vulnerabilities pointed out in other methods. In addition, the proposed method that is based on static analysis takes less time than other methods to detect the vulnerabilities. For evaluation, we compare the proposed method with PIAnalyzer tool. Results on 51 application benchmarks show that the proposed method detects the new PI-related vulnerability that is not detected by PIAnalyzer. Also, the proposed method detects vulnerabilities 27% faster than PIAnalyzer.