Publication Type
Journal Article
Version
acceptedVersion
Publication Date
1-2021
Abstract
Android has been the most popular smartphone system with multiple platform versions active in the market. To manage the application’s compatibility with one or more platform versions, Android allows apps to declare the supported platform SDK versions in their manifest files. In this paper, we conduct a systematic study of this modern software mechanism. Our objective is to measure the current practice of declared SDK versions (which we term as DSDK versions afterwards) in real apps, and the (in)consistency between DSDK versions and their host apps’ API calls. To successfully analyze a modern dataset of 22,687 popular apps (with an average app size of 25MB), we design a scalable approach that operates on the Android bytecode level and employs a lightweight bytecode search for app analysis. This approach achieves a good performance suitable for online vetting in app markets, requiring only around 5 seconds to process an app on average. Besides shedding light on the characteristics of DSDK in the wild, our study quantitatively measures two side effects of inappropriate DSDK versions: (i) around 35% apps under-set the minimum DSDK versions and could incur runtime crashes, but fortunately, only 11.3% apps could crash on Android 6.0 and above; (ii) around 2% apps, due to under-claiming the targeted DSDK versions, are potentially exploitable by remote code execution, and half of them invoke the vulnerable API via embedded third-party libraries. These results indicate the importance and difficulty of declaring correct DSDK, and our work can help developers fulfill this goal.
Keywords
SDK version, API call, Android fragmentation, App analysis
Discipline
Artificial Intelligence and Robotics | Computer Sciences | Operations Research, Systems Engineering and Industrial Engineering
Research Areas
Cybersecurity; Software and Cyber-Physical Systems
Publication
Empirical Software Engineering
Volume
26
Issue
1
First Page
1
Last Page
32
ISSN
1382-3256
Publisher
Springer Verlag (Germany)
Embargo Period
3-28-2021
Citation
WU, Daoyuan; GAO, Debin; and LO, David.
Scalable online vetting of Android apps for measuring declared SDK versions and their consistency with API calls. (2021). Empirical Software Engineering. 26, (1), 1-32.
Available at: https://ink.library.smu.edu.sg/sis_research/5880
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/s10664-020-09897-6
Included in
Artificial Intelligence and Robotics Commons, Operations Research, Systems Engineering and Industrial Engineering Commons