Supported tags and respective Dockerfile links

• 0.1.0, 0.1.0 (0.1.0/Dockerfile)

What is ldap-ltb?

ldap-ltb is a wrapper for the LDAP Tool Box (LTB) Self Service Password utility, which is a PHP application that allows users to change their password in an LDAP directory.

How to use this image

The easiest for to run ldap-ltb image is as follow: $ docker run --name=<your-container-name> -dt \ -e LDAP_LTB_URL="<your-ldap-url>" \ -e LDAP_LTB_PWD="<your-ldap-admin-password>" \ --net=<your-network-name> \ accenture/adop-ldap-ltb:VERSION after the above ldap-ltb will be available at: http://ldap-ltb

Configuration

The service configuration is externalised and stored the 'assets' directory.

Runtime configuration can be provided using environment variables:

• LDAPLTBURL, the LDAP URI, i.e. ldap-host:389
• LDAPLTBBS, the LDAP user BASE_DN
• LDAPLTBDN, the LDAP admin DN
• LDAPLTBPWD, the password to use connecting to LDAP service

Note : Default password policies is setup with following rules -

• Minimum length: 9
• Maximum length: no limit
• Minimum number of lowercase characters: 1
• Minimum number of uppercase characters: 1
• Minimum number of digits: 1
• Minimum number of special characters: 1
• Your new password can not be the same as your old password

License

Please view licence information for the software contained on this image.

Supported Docker versions

This image is officially supported on Docker version 1.9.1.

User feedback

Documentation

Documentation for this image is available in the LDAP Tool Box page. Additional documentaion can be found under the docker-library/docs GitHub repo. Be sure to familiarize yourself with the repository's README.md file before attempting a pull request.

Issues

If you have any problems with or questions about this image, please contact us through a GitHub issue.

Contribute

You are invited to contribute new features, fixes, or updates, large or small; we are always thrilled to receive pull requests, and do our best to process them as fast as we can.

Before you start to code, we recommend discussing your plans through a GitHub issue, especially for more ambitious contributions. This gives other contributors a chance to point you in the right direction, give you feedback on your design, and help you find out if someone else is working on the same thing.