Home

Awesome

ldapauthenticator

Latest PyPI version Latest conda-forge version GitHub Workflow Status - Test Test coverage of code Issue tracking - GitHub Help forum - Discourse

Simple LDAP Authenticator Plugin for JupyterHub

Installation

You can install it from pip with:

pip install jupyterhub-ldapauthenticator

...or using conda with:

conda install -c conda-forge jupyterhub-ldapauthenticator

Logging people out

If you make any changes to JupyterHub's authentication setup that changes which group of users is allowed to login (such as changing allowed_groups or even just turning on LDAPAuthenticator), you must change the jupyterhub cookie secret, or users who were previously logged in and did not log out would continue to be able to log in!

You can do this by deleting the jupyterhub_cookie_secret file. Note that this will log out all users who are currently logged in.

Usage

You can enable this authenticator by adding lines to your jupyterhub_config.py.

Note: This file may not exist in your current installation! In TLJH, it is located in /opt/tljh/config/jupyterhub_config.d. Create it there if you don't already have one.

c.JupyterHub.authenticator_class = 'ldap'

Required configuration

At minimum, the following two configuration options must be set before the LDAP Authenticator can be used:

LDAPAuthenticator.server_address

Address of the LDAP Server to contact. Just use a bare hostname or IP, without a port name or protocol prefix.

LDAPAuthenticator.lookup_dn or LDAPAuthenticator.bind_dn_template

To authenticate a user we need the corresponding DN to bind against the LDAP server. The DN can be acquired by either:

  1. setting bind_dn_template, which is a list of string template used to generate the full DN for a user from the human readable username, or
  2. setting lookup_dn to True, which does a reverse lookup to obtain the user's DN. This is because some LDAP servers, such as Active Directory, don't always bind with the true DN.
lookup_dn = False

If lookup_dn = False, then bind_dn_template is required to be a non-empty list of templates the users belong to. For example, if some of the users in your LDAP database have DN of the form uid=Yuvipanda,ou=people,dc=wikimedia,dc=org and some other users have DN like uid=Mike,ou=developers,dc=wikimedia,dc=org where Yuvipanda and Mike are the usernames, you would set this config item to be:

c.LDAPAuthenticator.bind_dn_template = [
    "uid={username},ou=people,dc=wikimedia,dc=org",
    "uid={username},ou=developers,dc=wikimedia,dc=org",
]

Don't forget the preceeding c. for setting configuration parameters! JupyterHub uses traitlets for configuration, and the c represents the config object.

The {username} is expanded into the username the user provides.

lookup_dn = True
c.LDAPAuthenticator.lookup_dn = True

If bind_dn_template isn't explicitly configured, i.e. the empty list, the dynamically acquired value for DN from the username lookup will be used instead. If bind_dn_template is configured it will be used just like in the lookup_dn = False case.

The {username} is expanded to the full path to the LDAP object returned by the LDAP lookup. For example, on an Active Directory system {username} might expand to something like CN=First M. Last,OU=An Example Organizational Unit,DC=EXAMPLE,DC=COM.

Also, when using lookup_dn = True the options user_search_base, user_attribute, lookup_dn_user_dn_attribute and lookup_dn_search_filter are required, although their defaults might be sufficient for your use case.

Optional configuration

LDAPAuthenticator.allowed_groups

LDAP groups whose members are allowed to log in. This must be set to either empty [] (the default, to disable) or to a list of full DNs that have a member attribute that includes the current user attempting to log in.

As an example, to restrict access only to people in groups researcher or operations,

c.LDAPAuthenticator.allowed_groups = [
    "cn=researcher,ou=groups,dc=wikimedia,dc=org",
    "cn=operations,ou=groups,dc=wikimedia,dc=org",
]

LDAPAuthenticator.group_search_filter

The LDAP group search filter.

The default value is an LDAP OR search that looks like the following:

(|(member={userdn})(uniqueMember={userdn})(memberUid={uid}))

So it basically compares the userdn attribute against the member attribute, then against the uniqueMember, and finally checks the memberUid against the uid.

If you modify this value, you probably want to change group_attributes too. Here is an example that should work with OpenLDAP servers.

(member={userdn})

LDAPAuthenticator.group_attributes

A list of attributes used when searching for LDAP groups.

By default, it uses member, uniqueMember, and memberUid. Certain servers may reject invalid values causing exceptions during authentication.

LDAPAuthenticator.valid_username_regex

All usernames will be checked against this before being sent to LDAP. This acts as both an easy way to filter out invalid usernames as well as protection against LDAP injection attacks.

By default it looks for the regex ^[a-z][.a-z0-9_-]*$ which is what most shell username validators do.

LDAPAuthenticator.use_ssl

use_ssl is deprecated since 2.0. use_ssl=True translates to configuring tls_strategy="on_connect", but use_ssl=False (previous default) doesn't translate to anything.

LDAPAuthenticator.tls_strategy

When LDAPAuthenticator connects to the LDAP server, it can establish a SSL/TLS connection directly, or do it before binding, which is LDAP terminology for authenticating and sending sensitive credentials.

The LDAP v3 protocol deprecated establishing a SSL/TLS connection directly (tls_strategy="on_connect") in favor of upgrading the connection to SSL/TLS before binding (tls_strategy="before_bind").

Supported tls_strategy values are:

When configuring tls_strategy="on_connect", the default value of server_port becomes 636.

LDAPAuthenticator.tls_kwargs

A dictionary that will be used as keyword arguments for the constructor of the ldap3 package's Tls object, influencing encrypted connections to the LDAP server.

For details on what can be configured and its effects, refer to the ldap3 package's documentation and code:

You can for example configure this like:

c.LDAPAuthenticator.tls_kwargs = {
    "ca_certs_file": "file/path.here",
}

LDAPAuthenticator.server_port

Port on which to contact the LDAP server.

Defaults to 636 if tls_strategy="on_connect" is set, 389 otherwise.

LDAPAuthenticator.user_search_base

Only used with lookup_dn=True or with a configured search_filter.

Defines the search base for looking up users in the directory.

c.LDAPAuthenticator.user_search_base = 'ou=People,dc=example,dc=com'

LDAPAuthenticator will search all objects matching under this base where the user_attribute is set to the current username to form the userdn.

For example, if all users objects existed under the base ou=people,dc=wikimedia,dc=org, and the username users use is set with the attribute uid, you can use the following config:

c.LDAPAuthenticator.lookup_dn = True
c.LDAPAuthenticator.lookup_dn_search_filter = '({login_attr}={login})'
c.LDAPAuthenticator.lookup_dn_search_user = 'ldap_search_user_technical_account'
c.LDAPAuthenticator.lookup_dn_search_password = 'secret'
c.LDAPAuthenticator.user_search_base = 'ou=people,dc=wikimedia,dc=org'
c.LDAPAuthenticator.user_attribute = 'uid'
c.LDAPAuthenticator.lookup_dn_user_dn_attribute = 'cn'

LDAPAuthenticator.user_attribute

Only used with lookup_dn=True or with a configured search_filter.

Together with user_search_base, this attribute will be searched to contain the username provided by the user in JupyterHub's login form.

# Active Directory
c.LDAPAuthenticator.user_attribute = 'sAMAccountName'

# OpenLDAP
c.LDAPAuthenticator.user_attribute = 'uid'

LDAPAuthenticator.lookup_dn_search_filter

Only used with lookup_dn=True.

How to query LDAP for user name lookup.

Default value '({login_attr}={login})' should be good enough for most use cases.

LDAPAuthenticator.lookup_dn_search_user, LDAPAuthenticator.lookup_dn_search_password

Only used with lookup_dn=True.

Technical account for user lookup. If both lookup_dn_search_user and lookup_dn_search_password are None, then anonymous LDAP query will be done.

LDAPAuthenticator.lookup_dn_user_dn_attribute

Only used with lookup_dn=True.

Attribute containing user's name needed for building DN string. See user_search_base for info on how this attribute is used. For most LDAP servers, this is username. For Active Directory, it is cn.

LDAPAuthenticator.auth_state_attributes

An optional list of attributes to be fetched for a user after login. If found, these will be available as auth_state["user_attributes"].

LDAPAuthenticator.use_lookup_dn_username

Only used with lookup_dn=True.

If configured True, the lookup_dn_user_dn_attribute value used to build the LDAP user's DN string is also used as the authenticated user's JuptyerHub username.

If this is configured True, its important to ensure that the values of lookup_dn_user_dn_attribute are unique even after the are normalized to be lowercase, otherwise two LDAP users could end up sharing the same JupyterHub username.

With ldapauthenticator 2, the default value was changed to False.

LDAPAuthenticator.search_filter

LDAP3 Search Filter to limit allowed users.

That a unique LDAP user is identified with the search_filter is necessary but not sufficient to grant access. Grant access by setting one or more of allowed_users, allow_all, allowed_groups, etc.

Users who do not match this filter cannot be allowed by any other configuration.

The search filter string will be expanded, so that:

LDAPAuthenticator.attributes

List of attributes to be passed in the LDAP search with search_filter.

Compatibility

This has been tested against an OpenLDAP server, with the client running Python 3.4. Verifications of this code working well with other LDAP setups are welcome, as are bug reports and patches to make it work with other LDAP setups!

Active Directory integration

Please use following options for AD integration. This is useful especially in two cases:

c.LDAPAuthenticator.lookup_dn = True
c.LDAPAuthenticator.lookup_dn_search_filter = '({login_attr}={login})'
c.LDAPAuthenticator.lookup_dn_search_user = 'ldap_search_user_technical_account'
c.LDAPAuthenticator.lookup_dn_search_password = 'secret'
c.LDAPAuthenticator.user_search_base = 'ou=people,dc=wikimedia,dc=org'
c.LDAPAuthenticator.user_attribute = 'sAMAccountName'
c.LDAPAuthenticator.lookup_dn_user_dn_attribute = 'cn'

In setup above, first LDAP will be searched (with account ldap_search_user_technical_account) for users that have sAMAccountName=login Then DN will be constructed using found CN value.

Configuration note on local user creation

Currently, local user creation by the LDAPAuthenticator is unsupported as this is insecure since there's no cleanup method for these created users. As a result, users who are disabled in LDAP will have access to this for far longer.

Alternatively, there's good support in Linux for integrating LDAP into the system user setup directly, and users can just use PAM (which is supported in not just JupyterHub, but ssh and a lot of other tools) to log in. You can see http://www.tldp.org/HOWTO/archived/LDAP-Implementation-HOWTO/pamnss.html and lots of other documentation on the web on how to set up LDAP to provide user accounts for your system. Those methods are very widely used, much more secure and more widely documented. We recommend you use them rather than have JupyterHub create local accounts using the LDAPAuthenticator.

Issue #19 provides additional discussion on local user creation.

Handling SSL/TLS handshake errors

If you have received a SSL/TLS handshake error, it could be that no cipher suite accepted by LDAPAuthenticator is also accepted by the LDAP server. This is likely because LDAPAuthenticator is stricter than the LDAP server and only accepts modern cipher suites than the LDAP server doesn't accept. Due to this, you should from a security perspective ideally modernize the LDAP server's accepted cipher suites rather than expand the LDAPAuthenticator accepted cipher suites to include older cipher suites.

The cipher suites that LDAPAuthenticator accepted by default come from ssl.create_default_context().get_ciphers(), which in turn can change with Python version. Upgrading Python from 3.7 - 3.9 to 3.10 - 3.13 is known to strictly reduce the set of accepted cipher suites from 30 to 17 for example. Due to this, upgrading Python could lead to observing a handshake error previously not observed.

If you want to configure LDAPAuthenticator to accept older cipher suites instead of updating the LDAP server to accept modern cipher suites, you can do it using LDAPAuthenticator.tls_kwargs as demonstrated below.

# default cipher suites accepted by LDAPAuthenticator in Python 3.7 - 3.9
# it includes 30 cipher suites, where 13 of them were considered less secure
# and removed as default cipher suites in Python 3.10
old_ciphers_list_considered_less_secure = "AES128-SHA:AES256-SHA:DHE-RSA-AES128-SHA:DHE-RSA-AES256-SHA:ECDHE-ECDSA-AES128-SHA:ECDHE-ECDSA-AES256-SHA:ECDHE-RSA-AES128-SHA:ECDHE-RSA-AES256-SHA:AES128-GCM-SHA256:AES128-SHA256:AES256-GCM-SHA384:AES256-SHA256:DHE-RSA-AES128-GCM-SHA256:DHE-RSA-AES128-SHA256:DHE-RSA-AES256-GCM-SHA384:DHE-RSA-AES256-SHA256:DHE-RSA-CHACHA20-POLY1305:ECDHE-ECDSA-AES128-GCM-SHA256:ECDHE-ECDSA-AES128-SHA256:ECDHE-ECDSA-AES256-GCM-SHA384:ECDHE-ECDSA-AES256-SHA384:ECDHE-ECDSA-CHACHA20-POLY1305:ECDHE-RSA-AES128-GCM-SHA256:ECDHE-RSA-AES128-SHA256:ECDHE-RSA-AES256-GCM-SHA384:ECDHE-RSA-AES256-SHA384:ECDHE-RSA-CHACHA20-POLY1305:TLS_AES_128_GCM_SHA256:TLS_AES_256_GCM_SHA384:TLS_CHACHA20_POLY1305_SHA256"

# default cipher suites accepted by LDAPAuthenticator in Python 3.10 - 3.13
# this list includes 17 cipher suites out of the 30 in the old list, with no
# new additions
new_ciphers_list = "DHE-RSA-AES128-GCM-SHA256:DHE-RSA-AES128-SHA256:DHE-RSA-AES256-GCM-SHA384:DHE-RSA-AES256-SHA256:ECDHE-ECDSA-AES128-GCM-SHA256:ECDHE-ECDSA-AES128-SHA256:ECDHE-ECDSA-AES256-GCM-SHA384:ECDHE-ECDSA-AES256-SHA384:ECDHE-ECDSA-CHACHA20-POLY1305:ECDHE-RSA-AES128-GCM-SHA256:ECDHE-RSA-AES128-SHA256:ECDHE-RSA-AES256-GCM-SHA384:ECDHE-RSA-AES256-SHA384:ECDHE-RSA-CHACHA20-POLY1305:TLS_AES_128_GCM_SHA256:TLS_AES_256_GCM_SHA384:TLS_CHACHA20_POLY1305_SHA256"

c.LDAPAuthenticator.tls_kwargs = {
    "ciphers": old_ciphers_list_considered_less_secure,
}

For reference, you can use a command like below to see what the default cipher suites LDAPAuthenticator will use in various Python versions.

docker run -it --rm python:3.13 python -c 'import ssl; c = ssl.create_default_context(); print(":".join(sorted([c["name"] for c in c.get_ciphers()])))'

Testing LDAPAuthenticator without JupyterHub

This script can be written to a file such as test_ldap_auth.py, and run with python test_ldap_auth.py, to test use of LDAPAuthenticator with a given config without involving JupyterHub.

If the authenticator works, this script should print either None or a username depending if the user was considered allowed access.

import asyncio
import getpass

from traitlets.config import Config
from ldapauthenticator import LDAPAuthenticator

# Configure LDAPAuthenticator below to work against your ldap server
c = Config()
c.LDAPAuthenticator.server_address = "ldap.organisation.org"
c.LDAPAuthenticator.server_port = 636
c.LDAPAuthenticator.bind_dn_template = "uid={username},ou=people,dc=organisation,dc=org"
c.LDAPAuthenticator.user_attribute = "uid"
c.LDAPAuthenticator.user_search_base = "ou=people,dc=organisation,dc=org"
c.LDAPAuthenticator.attributes = ["uid", "cn", "mail", "ou", "o"]
# The following is an example of a search_filter which is build on LDAP AND and OR operations
# here in this example as a combination of the LDAP attributes 'ou', 'mail' and 'uid'
sf = "(&(o={o})(ou={ou}))".format(o="yourOrganisation", ou="yourOrganisationalUnit")
sf += "(&(o={o})(mail={mail}))".format(o="yourOrganisation", mail="yourMailAddress")
c.LDAPAuthenticator.search_filter = f"(&({{userattr}}={{username}})(|{sf}))"

# Run test
authenticator = LDAPAuthenticator(config=c)
username = input("Username: ")
password = getpass.getpass()
data = dict(username=username, password=password)
return_value = asyncio.run(authenticator.authenticate(None, data))
print(return_value)