This python program allows you to analyse iOS apps to find evidence of third-party libraries. The program is divided into two analytical methods: Static - The identification of known SDKs used by an app , and Dynamic - The identification of domains used by an app.
Before you begin, ensure you have the following dependencies:
- Operating System: MacOS or Linux
- Device: Jailbroken iPhone
- Apple ID: It is recommended to set up a spare Apple ID for this project to avoid any potential issues with your primary account.
- Cable: USB-A to Lightning cable (USB-C to lightning can be unstable)
To install and set up the project, follow these steps:
-
Clone the repository:
git clone --recursive https://github.com/yourusername/iOS_SDK_ANALYSER.git cd iOS_SDK_ANALYSER -
Set up a virtual environment:
python3 -m venv venv source venv/bin/activate -
Install dependencies:
pip install -r requirements.txt
-
Set up Frida and libimobiletools:
- Follow the official Frida installation guide.
- Follow the official libimobiletools installation guide.
-
Connect your jailbroken iPhone:
- Ensure your iPhone is connected to your computer using the USB-A to Lightning cable.
- Verify that your iPhone is detected by running:
idevice_id -l
-
Configure your Apple ID:
- Use the spare Apple ID to sign in on your jailbroken iPhone.
- Ensure that the Apple ID is properly configured to avoid any interruptions during the analysis process.
- Initial project setup
- Implement central CLI
- Write a utility script (App downloads, Search, etc.)
- Create frida API and expose to python
- Add verbose
- Improve documentation for Frida
- Implement jailbreak detection script
- Documentation for jailbreak
- Documentation for ipatool
This repository is licensed under Creative Commons Attribution 4.0 International CC BY 4.0. This repository is created by the ERC funded reseach project Datafied Living at The University of Copenhagen