OAuthenticator is software that allows OAuth2 identity providers to be plugged in and used with JupyterHub. JupyterHub < 5.0, when used with GlobusOAuthenticator
, could be configured to allow all users from a particular institution only. This worked fine prior to JupyterHub 5.0, because allow_all
did not take precedence over identity_provider
. Since JupyterHub 5.0, allow_all
does take precedence over identity_provider
. On a hub with the same config, now all users will be allowed to login, regardless of identity_provider
. identity_provider
will basically be ignored. This is a documented change in JupyterHub 5.0, but is likely to catch many users by surprise. OAuthenticator 16.3.1 fixes the issue with JupyterHub 5.0, and does not affect previous versions. As a workaround, do not upgrade to JupyterHub 5.0 when using GlobusOAuthenticator
in the prior configuration.
The product performs an authorization check when an actor attempts to access a resource or perform an action, but it does not correctly perform the check. This allows attackers to bypass intended access restrictions.
Assuming a user with a given identity, authorization is the process of determining whether that user can access a given resource, based on the user’s privileges and any permissions or other access-control specifications that apply to the resource. When access control checks are incorrectly applied, users are able to access data or perform actions that they should not be allowed to perform. This can lead to a wide range of problems, including information exposures, denial of service, and arbitrary code execution.