Understanding Malicious Cross-library Data Harvesting on Android
Jice Wang, Yue Xiao, Xueqiang Wang, Yuhong Nan, Luyi Xing, Xiaojing Liao, Jinwei Dong, Nicolás Serrano, Haoran Lu, XiaoFeng Wang, Yuqing Zhang
摘要
Recent years have witnessed the rise of security risks of libraries integrated in mobile apps, which are reported to steal private user data from the host apps and the app backend servers. Their security implications, however, have never been fully understood. In our research, we brought to light a new attack vector long been ignored yet with serious privacy impacts -malicious libraries strategically target other vendors' SDKs integrated in the same host app to harvest private user data (e.g., Facebook's user profile). Using a methodology that incorporates semantic analysis on an SDK's Terms of Services (ToS, which describes restricted data access and sharing policies) and code analysis on cross-library interactions, we were able to investigate 1.3 million Google Play apps and the ToSes from 40 highly-popular SDKs, leading to the discovery of 42 distinct libraries stealthily harvesting data from 16 popular SDKs, which affect more than 19K apps with a total of 9 billion downloads. Our study further sheds light on the underground ecosystem behind such library-based data harvesting (e.g., monetary incentives for SDK integration), their unique strategies (e.g., hiding data in crash reports and using C2 server to schedule data exfiltration) and significant impacts.
The first two authors are ordered alphabetically. Work was done when Jice Wang was studying at Indiana University Bloomington.
† Luyi Xing, Xiaojing Liao and Yuqing Zhang are co-corresponding authors. OTHER OTHER OTHER ACTION DATA OTHER DATA OTHER CONDITION (a) Dependency parsing tree You may not associate the advertising I D with any device identifier user consent . without OTHER OTHER OTHER ACTION DATA OTHER DATA OTHER CONDITION
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