privacyIDEA: identity, multifactor authentication (OTP), authorization, audit
Project description
privacyIDEA
privacyIDEA is an open solution for strong two-factor authentication like OTP tokens, SMS, smartphones or SSH keys. Using privacyIDEA you can enhance your existing applications like local login (PAM, Windows Credential Provider), VPN, remote access, SSH connections, access to web sites or web portals with a second factor during authentication. Thus boosting the security of your existing applications.
Overview
privacyIDEA runs as an additional service in your network and you can connect different applications to privacyIDEA.
privacyIDEA does not bind you to any decision of the authentication protocol or it does not dictate you where your user information should be stored. This is achieved by its totally modular architecture. privacyIDEA is not only open as far as its modular architecture is concerned. But privacyIDEA is completely licensed under the AGPLv3.
It supports a wide variety of authentication devices like OTP tokens (HMAC, HOTP, TOTP, OCRA, mOTP), Yubikey (HOTP, TOTP, AES), FIDO U2F, as well as FIDO2 WebAuthn devices like Yubikey and Plug-Up, smartphone Apps like Google Authenticator, FreeOTP, Token2 or TiQR, SMS, Email, SSH keys, x509 certificates and Registration Codes for easy deployment.
privacyIDEA is based on Flask and SQLAlchemy as the python backend. The web UI is based on angularJS and bootstrap. A MachineToken design lets you assign tokens to machines. Thus you can use your Yubikey to unlock LUKS, assign SSH keys to SSH servers or use Offline OTP with PAM.
You may join the discourse discussion forum to give feedback, help other users, discuss questions and ideas: https://community.privacyidea.org
Setup
For setting up the system to run it, please read install instructions at privacyidea.readthedocs.io.
If you want to setup a development environment start like this:
git clone https://github.com/privacyidea/privacyidea.git cd privacyidea virtualenv venv source venv/bin/activate pip install -r requirements.txt
You may additionally want to set up your environment for testing, by adding the additional dependencies:
pip install -r tests/requirements.txt
You may also want to read the blog post about development and debugging at https://www.privacyidea.org/privacyidea-development-howto/
Running it
First You need to create a config-file.
Then create the database and encryption key:
./pi-manage createdb ./pi-manage create_enckey
If You want to keep the development database upgradable, You should stamp it to simplify updates:
./pi-manage db stamp head -d migrations/
Create the key for the audit log:
./pi-manage create_audit_keys
Create the first administrator:
./pi-manage admin add <username>
Run it:
./pi-manage runserver
Now you can connect to http://localhost:5000 with your browser and login as administrator.
Run tests
If you have followed the steps above to set up your environment for testing, running the test suite should be as easy as running pytest with the following options:
python -m pytest -v --cov=privacyidea --cov-report=html test/
Contributing
There are a lot of different way to contribute to privacyIDEA, even if you are not a developer.
If you found a security vulnerability please report it to security@privacyidea.org.
You can find detailed information about contributing here: https://github.com/privacyidea/privacyidea/blob/master/CONTRIBUTING.md
Code structure
The database models are defined in models.py and tested in tests/test_db_model.py.
Based on the database models there are the libraries lib/config.py which is responsible for basic configuration in the database table config. And the library lib/resolver.py which provides functions for the database table resolver. This is tested in tests/test_lib_resolver.py.
Based on the resolver there is the library lib/realm.py which provides functions for the database table realm. Several resolvers are combined into a realm.
Based on the realm there is the library lib/user.py which provides functions for users. There is no database table user, since users are dynamically read from the user sources like SQL, LDAP, SCIM or flat files.
Versioning
privacyIDEA adheres to Semantic Versioning.
Project details
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