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Secure Your SparkJava Webapp With pac4j

I'm proud to announce the release of spark-pac4j v1.1 based on pac4j v1.8 for any SparkJava v2.3 web application. It's a full security library, easy and powerful, which supports authentication and authorization, but also application logout and advanced features like CSRF protection.

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I'm proud to announce the release of spark-pac4j v1.1 (https://github.com/pac4j/spark-pac4j) based on pac4j v1.8 (https://github.com/pac4j/pac4j) for any SparkJava v2.3 web application. It's a full security library, easy and powerful, which supports authentication and authorization, but also application logout and advanced features like CSRF protection.

It supports most authentication mechanisms: OAuth (Facebook, Twitter, Google, Yahoo...), CAS, HTTP (form, basic auth...), OpenID Connect, SAML, Google App Engine, JWT, LDAP, RDBMS, MongoDB, and Stormpath as well as most authorization checks (role/permission, CSRF token...)

In four easy steps, secure your webapp:

1) Add the dependencies on the library (spark-pac4j library) and on the required authentication mechanisms (the pac4j-oauth module for Facebook for example)

2) Define the authentication mechanisms (clients) and authorizers (to check authorizations). For example: Facebook authentication and ROLE_ADMIN

FacebookClient facebookClient = new FacebookClient("mykey", "mysecret");
Config config = new Config("http://localhost:9000/callback", facebookClient);
config.addAuthorizer("admin", new RequireAnyRoleAuthorizer("ROLE_ADMIN"));

3) Define the callback route for Facebook authentication:

Route callback = new CallbackRoute(config);
get("/callback", callback);
post("/callback", callback);

4) Secure the /facebook/* URL to require the user to be authenticated and perform a Facebook authentication if he is not:

before("/facebook/*", new RequiresAuthenticationFilter(config, "FacebookClient"));

And/or to require the user to have the ROLE_ADMIN:

before("/facebook/*", new RequiresAuthenticationFilter(config, "FacebookClient", "admin"));

Very easy, isn't it?

Try the demo: https://github.com/pac4j/spark-pac4j-demo and read the documentation: https://github.com/pac4j/spark-pac4j

Create data driven applications in Qlik’s free and easy to use coding environment, brought to you in partnership with Qlik.

Topics:
spark ,java ,security

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