Mobile Security Framework (MobSF)
Mobile Security Framework (MobSF) is a security research platform for mobile applications in Android, iOS and Windows Mobile. MobSF can be used for a variety of use cases such as mobile application security, penetration testing, malware analysis, and privacy analysis. The Static Analyzer supports popular mobile app binaries like APK, IPA, APPX and source code. Meanwhile, the Dynamic Analyzer supports both Android and iOS applications and offers a platform for interactive instrumented testing, runtime data and network traffic analysis. MobSF seamlessly integrates with your DevSecOps or CI/CD pipeline, facilitated by REST APIs and CLI tools, enhancing your security workflow with ease.
Made with 
MobSF is also bundled with Android Tamer, BlackArch and Pentoo.
Support MobSF
Has MobSF made a difference for you? Show your support and help us innovate with a donation. It's easy to build open source, maintaining one is a different story.
Long live open source!
Documentation
Quick setup with docker
docker pull opensecurity/mobile-security-framework-mobsf:latest
docker run -it --rm -p 8000:8000 opensecurity/mobile-security-framework-mobsf:latest
# Default username and password: mobsf/mobsf
- Try MobSF Static Analyzer Online: mobsf.live
- MobSF in CI/CD: mobsfscan
- Conference Presentations: Slides & Videos
- MobSF Online Course: OpSecX MAS
- What's New: See Changelog
Collaborators
Ajin Abraham 
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 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
Static Analysis - iOS
Dynamic Analysis - Android APK
Web API Viewer
Dynamic Analysis - iOS IPA
Past Collaborators
Honorable Contributors & Shoutouts
- 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
- Jovan Petrovic (@JovanPetrovic) - For sponsoring a server to host mobsf.live
1 maintainer
Release files for mobsf 4.5.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mobsf-4.5.3.tar.gz | 98.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mobsf-4.5.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 197.5 MB
Release files / mobsf-4.5.3.tar.gz
| Download URL | mobsf-4.5.3.tar.gz |
|---|---|
| Size | 98.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 21, 2026.
Transparency logRelease files / mobsf-4.5.3-py3-none-any.whl
| Download URL | mobsf-4.5.3-py3-none-any.whl |
|---|---|
| Size | 99.1 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8e1ec272edb656c7aec24bc451ad56f2191857fd1726229bf0da496521ecf207
|
|
BLAKE2b-256 checksum How to use checksums |
7cce4cb20790c28203744b66c54cd7ad4eed13a818e7bf9f61654e28a72c9bf8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 21, 2026.
Transparency log
