Droidefense: Advance Android Malware Analysis Framework
Droidefense (originally named atom: analysis through observation machine) is the codename for android apps/malware analysis/reversing tool. It was built focused on security issues and tricks that malware researcher have on they every day work.
For those situations on where the malware has anti-analysis routines, Droidefense attemps to bypass them in order to get to the code and 'bad boy' routine. Sometimes those techniques can be virtual machine detection, emulator detection, self certificate checking, pipes detection. tracer pid check, and so on.
Droidefense uses an innovative idea in where the code is not decompiled rather than viewed. This allow us to get the global view of the execution workflow of the code with a 100% accuracy on gathered information. With this situation, Droidefense generates a fancy html report with the results for an easy understanding.
For those situations on where the malware has anti-analysis routines, Droidefense attemps to bypass them in order to get to the code and 'bad boy' routine. Sometimes those techniques can be virtual machine detection, emulator detection, self certificate checking, pipes detection. tracer pid check, and so on.
Droidefense uses an innovative idea in where the code is not decompiled rather than viewed. This allow us to get the global view of the execution workflow of the code with a 100% accuracy on gathered information. With this situation, Droidefense generates a fancy html report with the results for an easy understanding.
Droidefense Features
- .apk unpacker
- .apk resource decoder
- .apk file enumeration
- .apk file classification and identification
- binary xml decoder
- in-memory processing using a virtual filesystem
- resource fuzzing and hashing
- entropy calculator
- native code dump
- certificate analysis
- debug certificate detection
- opcode analysis
- unused opcode detection
- androidManifest.xml analysis
- internal structure analysis
- dalvik bytecode flow analysis
- multipath analysis implementation (not tested)
- CFG generation
- simple reflection resolver
- String classification
- simulated workflow generation
- dynamic rules engine
Droidefense modules
- PSCout data module
- Full Android manifest parser, based on official SDK documentation v23.
- Plugins
- Machine Learning (Weka based) module
Droidefense plugins
- Hidden ELF file detector plugin
- Hidden APK file detector plugin
- Application UID detector plugin
- Privacy plugin
Usage
TL;DR
java -jar droidefense-cli-1.0-SNAPSHOT.
Detailed usage
java -jar droidefense-cli-1.0-SNAPSHOT.
________ .__ .___ _____
\______ \_______ ____ |__| __| _/_____/ ____\____ ____ ______ ____
| | \_ __ \/ _ \| |/ __ |/ __ \ __\/ __ \ / \ / ___// __ \
| ` \ | \( <_> ) / /_/ \ ___/| | \ ___/| | \\___ \\ ___/
/_______ /__| \____/|__\____ |\___ >__| \___ >___| /____ >\___ >
\/ \/ \/ \/ \/ \/ \/
* Current build: 2018_03_09__09_17_34
* Check out on Github: https://github.com/
* Report your issue: https://github.com/
* Lead developer: @zerjioang
usage: droidefense
-d,--debug print debugging information
-h,--help print this message
-i,--input <apk> input .apk to be analyzed
-o,--output <format> select prefered output:
json
json.min
html
-p,--profile Wait for JVM profiler
-s,--show show generated report after scan
-u,--unpacker <unpacker> select prefered unpacker:
zip
memapktool
-v,--verbose be verbose
-V,--version show current version information
https://github.com/
Checkout report example at:
https://github.com/
Checkout execution logs at:
https://github.com/
And any other comments will be very appreciate.
@Manual{,
title = {Droidefense: Advance Android Malware Analysis Framework},
author = {{zerjioang}},
organization = {opensource},
address = {Bilbao, Spain},
year = 2017,
url = {https://droidefense.
}
java -jar droidefense-cli-1.0-SNAPSHOT.
Detailed usage
java -jar droidefense-cli-1.0-SNAPSHOT.
________ .__ .___ _____
\______ \_______ ____ |__| __| _/_____/ ____\____ ____ ______ ____
| | \_ __ \/ _ \| |/ __ |/ __ \ __\/ __ \ / \ / ___// __ \
| ` \ | \( <_> ) / /_/ \ ___/| | \ ___/| | \\___ \\ ___/
/_______ /__| \____/|__\____ |\___ >__| \___ >___| /____ >\___ >
\/ \/ \/ \/ \/ \/ \/
* Current build: 2018_03_09__09_17_34
* Check out on Github: https://github.com/
* Report your issue: https://github.com/
* Lead developer: @zerjioang
usage: droidefense
-d,--debug print debugging information
-h,--help print this message
-i,--input <apk> input .apk to be analyzed
-o,--output <format> select prefered output:
json
json.min
html
-p,--profile Wait for JVM profiler
-s,--show show generated report after scan
-u,--unpacker <unpacker> select prefered unpacker:
zip
memapktool
-v,--verbose be verbose
-V,--version show current version information
Useful info
Checkout how to compile new version at:https://github.com/
Checkout report example at:
https://github.com/
Checkout execution logs at:
https://github.com/
Contributing
Everybody is welcome to contribute to DROIDEFENSE. Please check out the DROIDEFENSE Contribution Steps for instructions about how to proceed.And any other comments will be very appreciate.
Citing
Feel free to cite droidefense on your works. We added next boilerplate for your references:@Manual{,
title = {Droidefense: Advance Android Malware Analysis Framework},
author = {{zerjioang}},
organization = {opensource},
address = {Bilbao, Spain},
year = 2017,
url = {https://droidefense.
}
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