ConDroid
This project is a fork and extension of the Acteve project on concolic execution for Android (https://code.google.com/p/acteve/) [1]
ConDroid performs concolic execution of Android apps - a combination of pure symbolic and concrete execution of a program which has first been described in [2] for C programs. The goal of ConDroid is to drive execution of Android app to specific code locations without requiring any manual interaction with the app. This allows to observe "interesting" behavior in a dynamic analysis, such as network traffic or dynamic code loading.
Some details on the extensions have been published in [3].
[1] Saswat Anand, Mayur Naik, Hongseok Yang, Mary Jean Harrold. Automated Concolic Testing of Smartphone Apps. In ACM International Symposium on Foundations of Software Engineering (FSE), 2012.
[2] Koushik Sen, Darko Marinov, Gul Agha. CUTE: A concolic unit testing engine for C. In Proceedings of the 10th European software engineering conference held jointly with 13th ACM SIGSOFT international symposium on Foundations of software engineering, 2005
[3] Julian Schütte, Rafael Fedler, Dennis Titze. ConDroid: Targeted Dynamic Analysis of Android Applications. In IEEE Conference on Advanced Information Networking and Applications (AINA), 2015
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Getting Started
Prerequisites
- Android SDK
- Z3 solver, including the string extensions from this project
Clone
git clone https://github.com/JulianSchuette/ConDroid.git
Install Z3-str
Unzip Z3 solver with added supported for String operations (equals, concat, etc.)
unzip Z3-str_20140720.zip /opt/
mv /opt/Z3-str_20140720 /opt/z3Set up configuration
mv config.properties.sample config.properties
Set up eclipse
- Import project into eclipse
Launch
- Launch an android emulator
- Launch run configuration from eclipse The app under test is given as argument to the program
java -jar condroid.jar <apk>