Mobile Security Framework



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

MobSF is also bundled with Android TamerBlackArch and Pentoo.

Support 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!


e-Learning Courses & Certifications

MobSF Support

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

Contribution, Feature Requests & Bugs

  • Read 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


Static Analysis – Android Source Tree-view

Tree view

Static Analysis – iOS


Dynamic Analysis – Android APK

Android APK

Web API Viewer

Web API Viewer

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 (@karolpiateknet, @mtbrzeski) – For iOS Swift support, Rule contributions and SAST refactoring.
  • Maxime Fawe – (@Arenash13) – For Matching Strategy implementation of SAST pattern matching algorithms.


  • 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