/Mobile-Security-Framework-MobSF

Mobile Security Framework (MobSF) is an automated, all-in-one mobile application (Android/iOS/Windows) pen-testing, malware analysis and security assessment framework capable of performing static and dynamic analysis.

Primary LanguageJavaScriptGNU General Public License v3.0GPL-3.0

Mobile Security Framework (MobSF)

Version: v3.8 beta

Mobile Security Framework (MobSF) is an automated, all-in-one mobile application (Android/iOS/Windows) pen-testing, malware analysis and security assessment framework capable of performing static and dynamic analysis. MobSF supports mobile app binaries (APK, XAPK, IPA & APPX) along with zipped source code and provides REST APIs for seamless integration with your CI/CD or DevSecOps pipeline.The Dynamic Analyzer helps you to perform runtime security assessment and interactive instrumented testing.

Made with Love in India

python PyPI version platform License Docker Pulls

MobSF tests Quality Gate Status GitHub closed issues CII Best Practices

ToolsWatch Best Security Tools 2016 ToolsWatch Best Security Tools 2017 Blackhat Arsenal Asia 2015 Blackhat Arsenal Asia 2018

MobSF is also bundled with Android Tamer, BlackArch and Pentoo.

Support MobSF

Donate to MobSF

If you liked MobSF and find it useful, please consider donating.

It's easy to build open source, try maintaining a project once. Long live open source!

Documentation

Quick setup

docker pull opensecurity/mobile-security-framework-mobsf:latest
docker run -it --rm -p 8000:8000 opensecurity/mobile-security-framework-mobsf:latest

See MobSF Documentation See MobSF Documentation in Chinese See MobSF Documentation in Japanese See MobSF Documentation in Español

Collaborators

Ajin Abraham india | Magaofei china | Matan Dobrushin israel | Vincent Nadal france

e-Learning Courses & Certifications

MobSF Course Automated Mobile Application Security Assessment with MobSF -MAS

Android Security Tools Course Android Security Tools Expert -ATX

MobSF Support

  • Free Support: Free limited support, questions, help and discussions, join our Slack channel Join_MobSF_Slack
  • Enterprise Support: Priority feature requests, live support & onsite training, see MobSF Support Packages

Contribution, Feature Requests & Bugs

  • Read CONTRIBUTING.md before opening bugs, feature requests and pull request.
  • For Project updates and announcements, follow @ajinabraham or @OpenSecurity_IN.
  • Github Issues are only for tracking bugs and feature requests. Do not post support or help queries there. We have a slack channel for that.

Static Analysis - Android

mobsf_android_static_analysis

Static Analysis - Android Source Tree-view

mobsf_android_static_analysis_tree_view

Static Analysis - iOS

mobsf_ios_ipa_static_analysis

Dynamic Analysis - Android APK

mobsf_dynamic_analysis

Web API Viewer

mobsf_web_api_fuzzing_with_burp

Past Collaborators

Honorable Contributors

  • Amrutha VC - For the new MobSF logo
  • Dominik Schlecht - For the awesome work on adding Windows Phone App Static Analysis to MobSF
  • Esteban - Better Android Manifest Analysis and Static Analysis Improvement.
  • Matan Dobrushin - For adding Android ARM Emulator support to MobSF - Special thanks goes for cuckoo-droid
  • Shuxin - Android Binary Analysis
  • Abhinav Saxena - (@xandfury) - For Travis CI and Logging integration
  • netguru Netguru (@karolpiateknet, @mtbrzeski) - For iOS Swift support, Rule contributions and SAST refactoring.
  • Maxime Fawe - (@Arenash13) - For Matching Strategy implementation of SAST pattern matching algorithms.

Shoutouts

  • Abhinav Sejpal (@Abhinav_Sejpal) - For poking me with bugs, feature requests, and UI & UX suggestions
  • Anant Srivastava (@anantshri) - For Activity Tester Idea
  • Anto Joseph (@antojoseph) - For the help with SuperSU
  • Bharadwaj Machiraju (@tunnelshade) - For writing pyWebProxy from scratch
  • Rahul (@c0dist) - Kali Support
  • MindMac - For writing Android Blue Pill
  • Oscar Alfonso Diaz - (@OscarAkaElvis) - For Dockerfile contributions
  • Thomas Abraham - For JS Hacks on UI
  • Tim Brown (@timb_machine) - For the iOS Binary Analysis Ruleset
  • Shanil Prasad (@Rajuraju14) - For improving iOS ATS Analysis
  • Jovan Petrovic (@JovanPetrovic) - For sponsoring a server to host mobsf.live