Potential Digital Evidence Forensically Sound Storage (PDEF2S)

This tool was designed for research in the field of Digital Forensics.

This prototype solution was created with Digital Forensic Readiness processes for secure storage and retrieval or potential digital evidence. This solution is generic and can be used for any application that requires secure storage. There is also an API built in that allows integration with any system or tool. From the admin panel you can create and manage API keys and routes.

Installation

This tool can be run from a docker container that can be built using the dockerfile. Alternatively, you can clone this repository and install the python requirements. It is recommended you run this in a virtual environment to further ensure compatibility and added security.

git clone git@github.com:mlagrasse/PDEF2S.git
cd PDEF2S
pip install -r requirements.txt

Usage

Run the following commands to configure and run the engine.

(venv)$ python manage.py createsuperuser  # Create a super user that you will use as the admin
(venv)$ python manage.py makemigrations   # This sets up the storage engine and databases
(venv)$ python manage.py migrate          # This creates the databases and interfaces
(venv)$ python manage.py runsslserver 0.0.0.0:8000  

IMPORTANT

If you plan on using this tool in production please change the following in the settings.py file:

• SECRET_KEY
• DEBUG
• EMAIL_USE_TLS
• EMAIL_HOST
• EMAIL_PORT
• EMAIL_HOST_USER
• EMAIL_HOST_PASSWORD

Below are screenshots of the tool.

Testing environments

• Windows 10
• Windows 8.1
• Windows 7
• Windows XP

Contributing

1. Fork it!
2. Create your feature branch: git checkout -b my-new-feature
3. Commit your changes: git commit -am 'Add some feature'
4. Push to the branch: git push origin my-new-feature
5. Submit a pull request :D

Wanted

• Bug reports.
• Feedback.

License

MIT License

Publications

• Singh, A. R. Ikuesan, and H. S. Venter, “Digital Forensic Readiness Framework for Ransomware Investigation,” in Digital Forensics and Cyber Crime, 2019, pp. 91–105.

• A. Singh, A. Ikuesan, and H. Venter, “A context-aware trigger mechanism for ransomware forensics,” 14th Int. Conf. Cyber Warf. Secur. ICCWS 2019, pp. 629–638, 2019.