This repository hosts the FlowDroid data flow analysis tool. FlowDroid statically computes data flows in Android apps and Java programs. Its goal is to provide researchers and practitioners with a tool and library on which they can base their own research projects and product implementations. We are happy to see that FlowDroid is now widely used in academia as well as industry.
You can either build FlowDroid on your own using Maven, or you can download a release from here on Github.
FlowDroid can now be found on Maven Central.
In order to use FlowDroid in your Maven build, include the following in your pom.xml file.
We recommend using the latest and greatest version unless you have a specific
issue that prevents you from doing so. In that case, please let us know (see contact below).
<dependencies>
<dependency>
<groupId>de.fraunhofer.sit.sse.flowdroid</groupId>
<artifactId>soot-infoflow</artifactId>
<version>2.12.0</version>
</dependency>
<dependency>
<groupId>de.fraunhofer.sit.sse.flowdroid</groupId>
<artifactId>soot-infoflow-summaries</artifactId>
<version>2.12.0</version>
</dependency>
<dependency>
<groupId>de.fraunhofer.sit.sse.flowdroid</groupId>
<artifactId>soot-infoflow-android</artifactId>
<version>2.12.0</version>
</dependency>
</dependencies>
For a quick start with FlowDroid, look at "Using The Data Flow Tracker" below. If you only want to use the command-line tool, all you need is the "soot-infoflow-cmd-jar-with-dependencies.jar" file.
The Release Page contains all pre-built JAR files for each release that we officially publish. We recommend using the latest and greatest version unless you have a specific issue that prevents you from doing so. In that case, please let us know (see contact below).
For a quick start with FlowDroid, look at "Using The Data Flow Tracker" below. If you only want to use the command-line tool, all you need is the "soot-infoflow-cmd-jar-with-dependencies.jar" file.
Requirements:
- JDK 11 or above
- Maven
- The current snapshot of Soot installed
At the first time, FlowDroid needs to be built from the parent module, i.e. the project's root folder. The full test suite takes around 30 minutes, so we recommend to disable the tests when building:
mvn install -DskipTestsTo run the build with tests enabled, some additional steps are needed:
- JDK 8 must be installed
- The
rt.jarmust be at the default location (alternatively, place thert.jarinside$JAVA_HOME/lib/) - The DroidBench submodule must be initialized (clone with
--recursive) ANDROID_JARSenvironment variable must be set to the android platforms directory (typically$HOME/Android/Sdk/platforms/)
We work on FlowDroid using the Eclipse IDE. All modules are Eclipse projects and can be imported into the Eclipse IDE. They will appear as Maven projects there and Eclipse should take care of downloading all required dependencies for you.
You can use FlowDroid either through its command-line interface (module soot-infoflow-cmd) or as a library. In general, if you would like to implement something and need a data flow tracker as a component, you are better off by integrating the FlowDroid modules as JAR files. If you just need the results quickly, simply run the command-line interface.
FlowDroid is supported on Windows, Mac OS, and Linux.
If you want to use the command-line tool to run the data flow tracker, you can use the following command:
java -jar soot-infoflow-cmd/target/soot-infoflow-cmd-jar-with-dependencies.jar \
-a <APK File> \
-p <Android JAR folder> \
-s <SourcesSinks file>
The Android JAR folder is the "platforms" directory inside your Android SDK installation folder. The definition file for sources and sinks defines what shall be treated as a source of sensitive information and what shall be treated as a sink that can possibly leak sensitive data to the outside world. These definitions are specific to your use case. However, if you are looking for privacy issues, you can use our default file "SourcesAndSinks.txt" in the "soot-infoflow-android" folder as a starting point.
For finding out about the other options of the command-line tool, you can run the tool with the "--help" option or have a look at the MainClass.initializeCommandLineOptions()" method in the source code (module soot-infoflow-cmd).
For some apps, FlowDroid will take very long for large apps. There are various options with which you can configure a tradeoff between performance, precision and recall.
-nsDo not track taints on static fields and disregard static initializers.-neDo not track exceptional flows.
You can also define timeouts:
-dt NAborts the data flow analysis after N seconds and returns the results obtained so far.-ct NAborts the callback collection during callgraph construction after N seconds and continues with the (incomplete) callgraph constructed so far.-rt NAborts the result collection after N seconds and returns the results obtained so far.
Note that timeouts are additive. All three stages must complete or run into a timeout for the tool to return and deliver results.
If you want to include FlowDroid as a library into your own solution, you can directly reference the respective JAR files. If you use Maven, you can add FlowDroid as a reference and have Maven resolve all required components. Depending on what you want to analyze (Android apps or Java programs), your dependencies may vary.
In this section, we will collect code and configuration snippets for common tasks with FlowDroid.
To run a simple data flow analysis, you can use the following code. You need to replace the placeholder androidJarFolder with the location of the
platforms directory in your Android SDK installation. The placeholder apkPath refers to the full file path of the APK file. The data flow
results are accessible via the InfoflowResults class.
SetupApplication app = new SetupApplication(androidJarFolder, apkPath);
app.setTaintWrapper(new SummaryTaintWrapper(new LazySummaryProvider("summariesManual")));
InfoflowResults results = app.runInfoflow();
The data flow analysis uses the default StubDroid library summaries. In the default configuration, these summaries are stored in
the summariesManual folder and there is no need to change that.
If you want to read the details on how FlowDroid works, the PhD thesis of Steven Arzt is a good place to start.
Contributions are always welcome. FlowDroid is an open source project that we published in the hope that it will be useful to the research community as a whole. If you have a new feature or a bug fix that you would like to see in the official code repository, please open a merge request here on Github and contact us (see below) with a short description of what you have done.
FlowDroid is licensed under the LGPL license, see LICENSE file. This basically means that you are free to use the tool (even in commercial, closed-source projects). However, if you extend or modify the tool, you must make your changes available under the LGPL as well. This ensures that we can continue to improve the tool as a community effort.
If you experience any issues, you can ask for help on the Soot mailing list. You can also contact us at [email protected].
![dependabot[bot] avatar](https://avatars.githubusercontent.com/in/29110?v=4 "dependabot[bot]")
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent