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Characterizing and identifying misexposed activities in Android applications

Published: 03 September 2018 Publication History

Abstract

Exported Activity (EA), a kind of activities in Android apps that can be launched by external components, is one of the most important inter-component communication (ICC) mechanisms to realize the interaction and cooperation among multiple apps. Existing works have pointed out that, once exposed, an activity will be vulnerable to malicious ICC attacks, such as permission leakage attack. Unfortunately, it is observed that a considerable number of activities in commercial apps are exposed inadvertently, while few works have studied the necessity and reasonability of such exposure. This work takes the first step to systematically study the exposing behavior of EAs through analyzing 13,873 Android apps. It utilizes the EA associated call relationships extracted from byte-code via data-flow analysis, as well as the launch conditions obtained from the manifest files, to guide the study on the usage and misexposure of EAs. The empirical findings are that the EA mechanism is widely adopted in development and the activities are liable to be misexposed due to the developers' misunderstanding or carelessness. Further study on subsets of apps selected according to different criteria indicates that the misexposed EAs have specific characteristics, which are manually summarized into six typical misuse patterns. As a consequence, ten heuristics are designed to decide whether an activity should be exposed or not and are implemented into an automatic tool called Mist. Experiments on the collected apps show that around one fifth EAs are unnecessarily exposed and there are more than one third EAs whose exposure may not be suggested.

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Cited By

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  • (2023)A Component-Sensitive Static Analysis Based Approach for Modeling Intents in Android Apps2023 IEEE International Conference on Software Maintenance and Evolution (ICSME)10.1109/ICSME58846.2023.00021(97-109)Online publication date: 1-Oct-2023
  • (2023)Variable-strength combinatorial testing of exported activities based on misexposure predictionJournal of Systems and Software10.1016/j.jss.2023.111773204(111773)Online publication date: Oct-2023
  • (2021)Software engineering techniques for statically analyzing mobile apps: research trends, characteristics, and potential for industrial adoptionJournal of Internet Services and Applications10.1186/s13174-021-00134-x12:1Online publication date: 23-Jul-2021
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cover image ACM Conferences
ASE '18: Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering
September 2018
955 pages
ISBN:9781450359375
DOI:10.1145/3238147
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 03 September 2018

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Author Tags

  1. Android apps
  2. Exported Activity
  3. Program Analysis

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View all
  • (2023)A Component-Sensitive Static Analysis Based Approach for Modeling Intents in Android Apps2023 IEEE International Conference on Software Maintenance and Evolution (ICSME)10.1109/ICSME58846.2023.00021(97-109)Online publication date: 1-Oct-2023
  • (2023)Variable-strength combinatorial testing of exported activities based on misexposure predictionJournal of Systems and Software10.1016/j.jss.2023.111773204(111773)Online publication date: Oct-2023
  • (2021)Software engineering techniques for statically analyzing mobile apps: research trends, characteristics, and potential for industrial adoptionJournal of Internet Services and Applications10.1186/s13174-021-00134-x12:1Online publication date: 23-Jul-2021
  • (2020)Multiple-entry testing of Android applications by constructing activity launching contextsProceedings of the ACM/IEEE 42nd International Conference on Software Engineering10.1145/3377811.3380347(457-468)Online publication date: 27-Jun-2020
  • (2020)Static asynchronous component misuse detection for Android applicationsProceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3368089.3409699(952-963)Online publication date: 8-Nov-2020
  • (2019)Automatic Generation of Capability Leaks' Exploits for Android Applications2019 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)10.1109/ICSTW.2019.00068(291-295)Online publication date: Apr-2019
  • (2019)Capability Leakage Detection between Android Applications Based on Dynamic Feedback2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS)10.1109/ICPADS47876.2019.00141(943-948)Online publication date: Dec-2019

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