A secure, user-friendly API for storing and retrieving encrypted sensitive data. All data is encrypted using public/private key encryption before being stored in a secure database. As privacy is a main concern, the server never stores the keys used to encrypt the data, so only the client can decrypt it.

The current version of the project is a work in progrss and handles simple text data such as passwords, API keys, etc. Future releases will include support for files, images, and other data types.

Key Features:

• Data encryption: Data is encrypted before being stored on the server.
• Public/private key encryption: Sets of keys are created and used to encrypt and decrypt data. Keys are kept by the user and never stored on the server.
• User authentication: Users can create accounts and log in to access their data with ease.
• Data Association: Data can be associated with particular websites, applications, or services.

• Python 3.10
• Virtualenv (Recommended)

# Create the venv
$ python3 -m venv env

# Activate it
$ source env/bin/activate

# Clone the repository
$ git clone https://github.com/afesuazo/vault
$ cd vault

# Run the setup script to install packages
# Same as pip3 install -r requirements.txt
$ chmod +x ./setup.sh
$ ./setup.sh

Create a config.py with the following content and replace the values with your own

# config.py
SECRET_KEY = "SECRET_KEY"
ALGORITHM = "HS256"
ACCESS_TOKEN_EXPIRE_MINUTES = 30

DB_URL = "postgresql+asyncpg://<user>:<password>@<127.0.0.1>:<5432>/<db_name?"
REDIS_URL = "redis://<localhost>:<6379>"

TESTING = False
TEST_DB_URL = "postgresql+asyncpg://<test_user>:<test_password>@<127.0.0.1>:<5432>/<test_db_name>"

The file should be placed in the root directory of the project.

$ chmod +x ./run.sh
$ ./run.sh

Or run it manually:

gunicorn -c gunicorn_conf.py app.main:app

Then visit http://localhost:4545 in your web browser. You should see the words "Vault Active!" printed to your screen.

You can also visit http://localhost:4545/docs to access the interactive API documentation interface created by FastAPI.

The project uses pytest for testing. To run the tests, simply run the following command:

$ pytest

API documentation will be available soon. In the meantime check the /docs endpoint for the interactive API documentation.

If you come across any bugs or have any ideas for improvements, please create an issue ticket in the repository.

This project is licensed under the terms of the MIT license. See the LICENSE file for details.

• Move configuration to a .env file
• Loginless authentication
• Basic CLI
• Data Sharing
• Extend data types to include files, images, etc.