Mobile Security Framework (MobSF)

Version: v3.0 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 support mobile app binaries (APK, 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 in India

MobSF is also bundled with Android Tamer and BlackArch

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Documentation

中文

Try MobSF Static Analyzer Online:
Conference Presentations: Slides & Videos
MobSF Online Course: OpSecX MAS
What's New: See Changelog

Collaborators

Ajin Abraham | Dominik Schlecht | Magaofei | Matan Dobrushin | Vincent Nadal

e-Learning Courses & Certifications

Automated Mobile Application Security Assessment with MobSF -MAS

Android Security Tools Expert -ATX

MobSF Support

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

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.

Screenshots

Static Analysis - Android

Static Analysis - iOS

Dynamic Analysis - Android APK

Web API Viewer

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.

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

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