Merge branch 'main' into krassowski-manage_roles

This commit is contained in:
Min RK
2024-04-15 10:58:46 +02:00
committed by GitHub
39 changed files with 2207 additions and 319 deletions

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@@ -70,6 +70,8 @@ myst_enable_extensions = [
myst_substitutions = {
# date example: Dev 07, 2022
"date": datetime.date.today().strftime("%b %d, %Y").title(),
"node_min": "12",
"python_min": "3.8",
"version": jupyterhub.__version__,
}
@@ -289,6 +291,8 @@ linkcheck_ignore = [
"https://github.com/jupyterhub/jupyterhub/compare/", # too many comparisons in changelog
r"https?://(localhost|127.0.0.1).*", # ignore localhost references in auto-links
r"https://linux.die.net/.*", # linux.die.net seems to block requests from CI with 403 sometimes
# don't check links to unpublished advisories
r"https://github.com/jupyterhub/jupyterhub/security/advisories/.*",
]
linkcheck_anchors_ignore = [
"/#!",

View File

@@ -12,18 +12,18 @@ development.
### Install Python
JupyterHub is written in the [Python](https://python.org) programming language and
requires you have at least version 3.6 installed locally. If you havent
requires you have at least version {{python_min}} installed locally. If you havent
installed Python before, the recommended way to install it is to use
[Miniforge](https://github.com/conda-forge/miniforge#download).
### Install nodejs
[NodeJS 12+](https://nodejs.org/en/) is required for building some JavaScript components.
[NodeJS {{node_min}}+](https://nodejs.org/en/) is required for building some JavaScript components.
`configurable-http-proxy`, the default proxy implementation for JupyterHub, is written in Javascript.
If you have not installed NodeJS before, we recommend installing it in the `miniconda` environment you set up for Python.
You can do so with `conda install nodejs`.
Many in the Jupyter community use \[`nvm`\](<https://github.com/nvm-sh/nvm>) to
Many in the Jupyter community use [`nvm`](https://github.com/nvm-sh/nvm) to
managing node dependencies.
### Install git
@@ -59,7 +59,7 @@ a more detailed discussion.
python -V
```
This should return a version number greater than or equal to 3.6.
This should return a version number greater than or equal to {{python_min}}.
```bash
npm -v

View File

@@ -16,7 +16,8 @@ works.
JupyterHub is designed to be a _simple multi-user server for modestly sized
groups_ of **semi-trusted** users. While the design reflects serving
semi-trusted users, JupyterHub can also be suitable for serving **untrusted** users.
semi-trusted users, JupyterHub can also be suitable for serving **untrusted** users,
but **is not suitable for untrusted users** in its default configuration.
As a result, using JupyterHub with **untrusted** users means more work by the
administrator, since much care is required to secure a Hub, with extra caution on
@@ -56,30 +57,63 @@ ensure that:
If any additional services are run on the same domain as the Hub, the services
**must never** display user-authored HTML that is neither _sanitized_ nor _sandboxed_
(e.g. IFramed) to any user that lacks authentication as the author of a file.
to any user that lacks authentication as the author of a file.
### Sharing access to servers
Because sharing access to servers (via `access:servers` scopes or the sharing feature in JupyterHub 5) by definition means users can serve each other files, enabling sharing is not suitable for untrusted users without also enabling per-user domains.
JupyterHub does not enable any sharing by default.
## Mitigate security issues
The several approaches to mitigating security issues with configuration
options provided by JupyterHub include:
### Enable subdomains
### Enable user subdomains
JupyterHub provides the ability to run single-user servers on their own
subdomains. This means the cross-origin protections between servers has the
desired effect, and user servers and the Hub are protected from each other. A
user's single-user server will be at `username.jupyter.mydomain.com`. This also
requires all user subdomains to point to the same address, which is most easily
accomplished with wildcard DNS. Since this spreads the service across multiple
domains, you will need wildcard SSL as well. Unfortunately, for many
institutional domains, wildcard DNS and SSL are not available. **If you do plan
to serve untrusted users, enabling subdomains is highly encouraged**, as it
resolves the cross-site issues.
domains. This means the cross-origin protections between servers has the
desired effect, and user servers and the Hub are protected from each other.
**Subdomains are the only way to reliably isolate user servers from each other.**
To enable subdomains, set:
```python
c.JupyterHub.subdomain_host = "https://jupyter.example.org"
```
When subdomains are enabled, each user's single-user server will be at e.g. `https://username.jupyter.example.org`.
This also requires all user subdomains to point to the same address,
which is most easily accomplished with wildcard DNS, where a single A record points to your server and a wildcard CNAME record points to your A record:
```
A jupyter.example.org 192.168.1.123
CNAME *.jupyter.example.org jupyter.example.org
```
Since this spreads the service across multiple domains, you will likely need wildcard SSL as well,
matching `*.jupyter.example.org`.
Unfortunately, for many institutional domains, wildcard DNS and SSL may not be available.
We also **strongly encourage** serving JupyterHub and user content on a domain that is _not_ a subdomain of any sensitive content.
For reasoning, see [GitHub's discussion of moving user content to github.io from \*.github.com](https://github.blog/2013-04-09-yummy-cookies-across-domains/).
**If you do plan to serve untrusted users, enabling subdomains is highly encouraged**,
as it resolves many security issues, which are difficult to unavoidable when JupyterHub is on a single-domain.
:::{important}
JupyterHub makes no guarantees about protecting users from each other unless subdomains are enabled.
If you want to protect users from each other, you **_must_** enable per-user domains.
:::
### Disable user config
If subdomains are unavailable or undesirable, JupyterHub provides a
configuration option `Spawner.disable_user_config`, which can be set to prevent
configuration option `Spawner.disable_user_config = True`, which can be set to prevent
the user-owned configuration files from being loaded. After implementing this
option, `PATH`s and package installation are the other things that the
admin must enforce.
@@ -89,23 +123,24 @@ admin must enforce.
For most Spawners, `PATH` is not something users can influence, but it's important that
the Spawner should _not_ evaluate shell configuration files prior to launching the server.
### Isolate packages using virtualenv
### Isolate packages in a read-only environment
Package isolation is most easily handled by running the single-user server in
a virtualenv with disabled system-site-packages. The user should not have
permission to install packages into this environment.
The user must not have permission to install packages into the environment where the singleuser-server runs.
On a shared system, package isolation is most easily handled by running the single-user server in
a root-owned virtualenv with disabled system-site-packages.
The user must not have permission to install packages into this environment.
The same principle extends to the images used by container-based deployments.
If users can select the images in which their servers run, they can disable all security.
If users can select the images in which their servers run, they can disable all security for their own servers.
It is important to note that the control over the environment only affects the
single-user server, and not the environment(s) in which the user's kernel(s)
It is important to note that the control over the environment is only required for the
single-user server, and not the environment(s) in which the users' kernel(s)
may run. Installing additional packages in the kernel environment does not
pose additional risk to the web application's security.
### Encrypt internal connections with SSL/TLS
By default, all communications on the server, between the proxy, hub, and single
-user notebooks are performed unencrypted. Setting the `internal_ssl` flag in
By default, all communications within JupyterHub—between the proxy, hub, and single
-user notebooksare performed unencrypted. Setting the `internal_ssl` flag in
`jupyterhub_config.py` secures the aforementioned routes. Turning this
feature on does require that the enabled `Spawner` can use the certificates
generated by the `Hub` (the default `LocalProcessSpawner` can, for instance).
@@ -119,6 +154,104 @@ Unix permissions to the communication sockets thereby restricting
communication to the socket owner. The `internal_ssl` option will eventually
extend to securing the `tcp` sockets as well.
### Mitigating same-origin deployments
While per-user domains are **required** for robust protection of users from each other,
you can mitigate many (but not all) cross-user issues.
First, it is critical that users cannot modify their server environments, as described above.
Second, it is important that users do not have `access:servers` permission to any server other than their own.
If users can access each others' servers, additional security measures must be enabled, some of which come with distinct user-experience costs.
Without the [Same-Origin Policy] (SOP) protecting user servers from each other,
each user server is considered a trusted origin for requests to each other user server (and the Hub itself).
Servers _cannot_ meaningfully distinguish requests originating from other user servers,
because SOP implies a great deal of trust, losing many restrictions applied to cross-origin requests.
That means pages served from each user server can:
1. arbitrarily modify the path in the Referer
2. make fully authorized requests with cookies
3. access full page contents served from the hub or other servers via popups
JupyterHub uses distinct xsrf tokens stored in cookies on each server path to attempt to limit requests across.
This has limitations because not all requests are protected by these XSRF tokens,
and unless additional measures are taken, the XSRF tokens from other user prefixes may be retrieved.
[Same-Origin Policy]: https://developer.mozilla.org/en-US/docs/Web/Security/Same-origin_policy
For example:
- `Content-Security-Policy` header must prohibit popups and iframes from the same origin.
The following Content-Security-Policy rules are _insecure_ and readily enable users to access each others' servers:
- `frame-ancestors: 'self'`
- `frame-ancestors: '*'`
- `sandbox allow-popups`
- Ideally, pages should use the strictest `Content-Security-Policy: sandbox` available,
but this is not feasible in general for JupyterLab pages, which need at least `sandbox allow-same-origin allow-scripts` to work.
The default Content-Security-Policy for single-user servers is
```
frame-ancestors: 'none'
```
which prohibits iframe embedding, but not pop-ups.
A more secure Content-Security-Policy that has some costs to user experience is:
```
frame-ancestors: 'none'; sandbox allow-same-origin allow-scripts
```
`allow-popups` is not disabled by default because disabling it breaks legitimate functionality, like "Open this in a new tab", and the "JupyterHub Control Panel" menu item.
To reiterate, the right way to avoid these issues is to enable per-user domains, where none of these concerns come up.
Note: even this level of protection requires administrators maintaining full control over the user server environment.
If users can modify their server environment, these methods are ineffective, as users can readily disable them.
### Cookie tossing
Cookie tossing is a technique where another server on a subdomain or peer subdomain can set a cookie
which will be read on another domain.
This is not relevant unless there are other user-controlled servers on a peer domain.
"Domain-locked" cookies avoid this issue, but have their own restrictions:
- JupyterHub must be served over HTTPS
- All secure cookies must be set on `/`, not on sub-paths, which means they are shared by all JupyterHub components in a single-domain deployment.
As a result, this option is only recommended when per-user subdomains are enabled,
to prevent sending all jupyterhub cookies to all user servers.
To enable domain-locked cookies, set:
```python
c.JupyterHub.cookie_host_prefix_enabled = True
```
```{versionadded} 4.1
```
### Forced-login
Jupyter servers can share links with `?token=...`.
JupyterHub prior to 5.0 will accept this request and persist the token for future requests.
This is useful for enabling admins to create 'fully authenticated' links bypassing login.
However, it also means users can share their own links that will log other users into their own servers,
enabling them to serve each other notebooks and other arbitrary HTML, depending on server configuration.
```{versionadded} 4.1
Setting environment variable `JUPYTERHUB_ALLOW_TOKEN_IN_URL=0` in the single-user environment can opt out of accepting token auth in URL parameters.
```
```{versionadded} 5.0
Accepting tokens in URLs is disabled by default, and `JUPYTERHUB_ALLOW_TOKEN_IN_URL=1` environment variable must be set to _allow_ token auth in URL parameters.
```
## Security audits
We recommend that you do periodic reviews of your deployment's security. It's

View File

@@ -37,14 +37,19 @@ A [generic implementation](https://github.com/jupyterhub/oauthenticator/blob/mas
## The Dummy Authenticator
When testing, it may be helpful to use the
{class}`jupyterhub.auth.DummyAuthenticator`. This allows for any username and
password unless if a global password has been set. Once set, any username will
{class}`~.jupyterhub.auth.DummyAuthenticator`. This allows for any username and
password unless a global password has been set. Once set, any username will
still be accepted but the correct password will need to be provided.
:::{versionadded} 5.0
The DummyAuthenticator's default `allow_all` is True,
unlike most other Authenticators.
:::
## Additional Authenticators
A partial list of other authenticators is available on the
[JupyterHub wiki](https://github.com/jupyterhub/jupyterhub/wiki/Authenticators).
Additional authenticators can be found on GitHub
by searching for [topic:jupyterhub topic:authenticator](https://github.com/search?q=topic%3Ajupyterhub%20topic%3Aauthenticator&type=repositories).
## Technical Overview of Authentication
@@ -54,9 +59,9 @@ The base authenticator uses simple username and password authentication.
The base Authenticator has one central method:
#### Authenticator.authenticate method
#### Authenticator.authenticate
Authenticator.authenticate(handler, data)
{meth}`.Authenticator.authenticate`
This method is passed the Tornado `RequestHandler` and the `POST data`
from JupyterHub's login form. Unless the login form has been customized,
@@ -81,7 +86,8 @@ Writing an Authenticator that looks up passwords in a dictionary
requires only overriding this one method:
```python
from IPython.utils.traitlets import Dict
from secrets import compare_digest
from traitlets import Dict
from jupyterhub.auth import Authenticator
class DictionaryAuthenticator(Authenticator):
@@ -91,8 +97,14 @@ class DictionaryAuthenticator(Authenticator):
)
async def authenticate(self, handler, data):
if self.passwords.get(data['username']) == data['password']:
return data['username']
username = data["username"]
password = data["password"]
check_password = self.passwords.get(username, "")
# always call compare_digest, for timing attacks
if compare_digest(check_password, password) and username in self.passwords:
return username
else:
return None
```
#### Normalize usernames
@@ -136,7 +148,7 @@ To only allow usernames that start with 'w':
c.Authenticator.username_pattern = r'w.*'
```
### How to write a custom authenticator
## How to write a custom authenticator
You can use custom Authenticator subclasses to enable authentication
via other mechanisms. One such example is using [GitHub OAuth][].
@@ -148,11 +160,6 @@ and {meth}`.Authenticator.post_spawn_stop`, are hooks that can be used to do
auth-related startup (e.g. opening PAM sessions) and cleanup
(e.g. closing PAM sessions).
See a list of custom Authenticators [on the wiki](https://github.com/jupyterhub/jupyterhub/wiki/Authenticators).
If you are interested in writing a custom authenticator, you can read
[this tutorial](http://jupyterhub-tutorial.readthedocs.io/en/latest/authenticators.html).
### Registering custom Authenticators via entry points
As of JupyterHub 1.0, custom authenticators can register themselves via
@@ -188,6 +195,166 @@ Additionally, configurable attributes for your authenticator will
appear in jupyterhub help output and auto-generated configuration files
via `jupyterhub --generate-config`.
(authenticator-allow)=
### Allowing access
When dealing with logging in, there are generally two _separate_ steps:
authentication
: identifying who is trying to log in, and
authorization
: deciding whether an authenticated user is allowed to access your JupyterHub
{meth}`Authenticator.authenticate` is responsible for authenticating users.
It is perfectly fine in the simplest cases for `Authenticator.authenticate` to be responsible for authentication _and_ authorization,
in which case `authenticate` may return `None` if the user is not authorized.
However, Authenticators also have two methods, {meth}`~.Authenticator.check_allowed` and {meth}`~.Authenticator.check_blocked_users`, which are called after successful authentication to further check if the user is allowed.
If `check_blocked_users()` returns False, authorization stops and the user is not allowed.
If `Authenticator.allow_all` is True OR `check_allowed()` returns True, authorization proceeds.
:::{versionadded} 5.0
{attr}`.Authenticator.allow_all` and {attr}`.Authenticator.allow_existing_users` are new in JupyterHub 5.0.
By default, `allow_all` is False,
which is a change from pre-5.0, where `allow_all` was implicitly True if `allowed_users` was empty.
:::
### Overriding `check_allowed`
:::{versionchanged} 5.0
`check_allowed()` is **not called** if `allow_all` is True.
:::
:::{versionchanged} 5.0
Starting with 5.0, `check_allowed()` should **NOT** return True if no allow config
is specified (`allow_all` should be used instead).
:::
The base implementation of {meth}`~.Authenticator.check_allowed` checks:
- if username is in the `allowed_users` set, return True
- else return False
:::{versionchanged} 5.0
Prior to 5.0, this would also return True if `allowed_users` was empty.
For clarity, this is no longer the case. A new `allow_all` property (default False) has been added which is checked _before_ calling `check_allowed`.
If `allow_all` is True, this takes priority over `check_allowed`, which will be ignored.
If your Authenticator subclass similarly returns True when no allow config is defined,
this is fully backward compatible for your users, but means `allow_all = False` has no real effect.
You can make your Authenticator forward-compatible with JupyterHub 5 by defining `allow_all` as a boolean config trait on your class:
```python
class MyAuthenticator(Authenticator):
# backport allow_all from JupyterHub 5
allow_all = Bool(False, config=True)
def check_allowed(self, username, authentication):
if self.allow_all:
# replaces previous "if no auth config"
return True
...
```
:::
If an Authenticator defines additional sources of `allow` configuration,
such as membership in a group or other information,
it should override `check_allowed` to account for this.
:::{note}
`allow_` configuration should generally be _additive_,
i.e. if access is granted by _any_ allow configuration,
a user should be authorized.
JupyterHub recommends that Authenticators applying _restrictive_ configuration should use names like `block_` or `require_`,
and check this during `check_blocked_users` or `authenticate`, not `check_allowed`.
:::
In general, an Authenticator's skeleton should look like:
```python
class MyAuthenticator(Authenticator):
# backport allow_all for compatibility with JupyterHub < 5
allow_all = Bool(False, config=True)
require_something = List(config=True)
allowed_something = Set()
def authenticate(self, data, handler):
...
if success:
return {"username": username, "auth_state": {...}}
else:
return None
def check_blocked_users(self, username, authentication=None):
"""Apply _restrictive_ configuration"""
if self.require_something and not has_something(username, self.request_):
return False
# repeat for each restriction
if restriction_defined and restriction_not_met:
return False
return super().check_blocked_users(self, username, authentication)
def check_allowed(self, username, authentication=None):
"""Apply _permissive_ configuration
Only called if check_blocked_users returns True
AND allow_all is False
"""
if self.allow_all:
# check here to backport allow_all behavior
# from JupyterHub 5
# this branch will never be taken with jupyterhub >=5
return True
if self.allowed_something and user_has_something(username):
return True
# repeat for each allow
if allow_config and allow_met:
return True
# should always have this at the end
if self.allowed_users and username in self.allowed_users:
return True
# do not call super!
# super().check_allowed is not safe with JupyterHub < 5.0,
# as it will return True if allowed_users is empty
return False
```
Key points:
- `allow_all` is backported from JupyterHub 5, for consistent behavior in all versions of JupyterHub (optional)
- restrictive configuration is checked in `check_blocked_users`
- if any restriction is not met, `check_blocked_users` returns False
- permissive configuration is checked in `check_allowed`
- if any `allow` condition is met, `check_allowed` returns True
So the logical expression for a user being authorized should look like:
> if ALL restrictions are met AND ANY admissions are met: user is authorized
#### Custom error messages
Any of these authentication and authorization methods may raise a `web.HTTPError` Exception
```python
from tornado import web
raise web.HTTPError(403, "informative message")
```
if you want to show a more informative login failure message rather than the generic one.
(authenticator-auth-state)=
### Authentication state

View File

@@ -6,8 +6,161 @@ For detailed changes from the prior release, click on the version number, and
its link will bring up a GitHub listing of changes. Use `git log` on the
command line for details.
## Versioning
JupyterHub follows Intended Effort Versioning ([EffVer](https://jacobtomlinson.dev/effver/)) for versioning,
where the version number is meant to indicate the amount of effort required to upgrade to the new version.
Contributors to major version bumps in JupyterHub include:
- Database schema changes that require migrations and are hard to roll back
- Increasing the minimum required Python version
- Large new features
- Breaking changes likely to affect users
## [Unreleased]
## 4.1
### 4.1.5 - 2024-04-04
([full changelog](https://github.com/jupyterhub/jupyterhub/compare/4.1.4...4.1.5))
#### Bugs fixed
- singleuser mixin: include check_xsrf_cookie in overrides [#4771](https://github.com/jupyterhub/jupyterhub/pull/4771) ([@minrk](https://github.com/minrk), [@consideRatio](https://github.com/consideRatio))
#### Contributors to this release
The following people contributed discussions, new ideas, code and documentation contributions, and review.
See [our definition of contributors](https://github-activity.readthedocs.io/en/latest/#how-does-this-tool-define-contributions-in-the-reports).
([GitHub contributors page for this release](https://github.com/jupyterhub/jupyterhub/graphs/contributors?from=2024-03-30&to=2024-04-04&type=c))
@consideRatio ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3AconsideRatio+updated%3A2024-03-30..2024-04-04&type=Issues)) | @manics ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Amanics+updated%3A2024-03-30..2024-04-04&type=Issues)) | @minrk ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Aminrk+updated%3A2024-03-30..2024-04-04&type=Issues))
### 4.1.4 - 2024-03-30
([full changelog](https://github.com/jupyterhub/jupyterhub/compare/4.1.3...4.1.4))
#### Bugs fixed
- avoid xsrf check on navigate GET requests [#4759](https://github.com/jupyterhub/jupyterhub/pull/4759) ([@minrk](https://github.com/minrk), [@consideRatio](https://github.com/consideRatio))
#### Contributors to this release
The following people contributed discussions, new ideas, code and documentation contributions, and review.
See [our definition of contributors](https://github-activity.readthedocs.io/en/latest/#how-does-this-tool-define-contributions-in-the-reports).
([GitHub contributors page for this release](https://github.com/jupyterhub/jupyterhub/graphs/contributors?from=2024-03-26&to=2024-03-30&type=c))
@consideRatio ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3AconsideRatio+updated%3A2024-03-26..2024-03-30&type=Issues)) | @minrk ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Aminrk+updated%3A2024-03-26..2024-03-30&type=Issues))
### 4.1.3 - 2024-03-26
([full changelog](https://github.com/jupyterhub/jupyterhub/compare/4.1.2...4.1.3))
#### Bugs fixed
- respect jupyter-server disable_check_xsrf setting [#4753](https://github.com/jupyterhub/jupyterhub/pull/4753) ([@minrk](https://github.com/minrk), [@consideRatio](https://github.com/consideRatio))
#### Contributors to this release
The following people contributed discussions, new ideas, code and documentation contributions, and review.
See [our definition of contributors](https://github-activity.readthedocs.io/en/latest/#how-does-this-tool-define-contributions-in-the-reports).
([GitHub contributors page for this release](https://github.com/jupyterhub/jupyterhub/graphs/contributors?from=2024-03-25&to=2024-03-26&type=c))
@consideRatio ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3AconsideRatio+updated%3A2024-03-25..2024-03-26&type=Issues)) | @minrk ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Aminrk+updated%3A2024-03-25..2024-03-26&type=Issues))
### 4.1.2 - 2024-03-25
4.1.2 fixes a regression in 4.1.0 affecting named servers.
([full changelog](https://github.com/jupyterhub/jupyterhub/compare/4.1.1...4.1.2))
#### Bugs fixed
- rework handling of multiple xsrf tokens [#4750](https://github.com/jupyterhub/jupyterhub/pull/4750) ([@minrk](https://github.com/minrk), [@consideRatio](https://github.com/consideRatio))
#### Contributors to this release
The following people contributed discussions, new ideas, code and documentation contributions, and review.
See [our definition of contributors](https://github-activity.readthedocs.io/en/latest/#how-does-this-tool-define-contributions-in-the-reports).
([GitHub contributors page for this release](https://github.com/jupyterhub/jupyterhub/graphs/contributors?from=2024-03-23&to=2024-03-25&type=c))
@consideRatio ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3AconsideRatio+updated%3A2024-03-23..2024-03-25&type=Issues)) | @minrk ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Aminrk+updated%3A2024-03-23..2024-03-25&type=Issues))
### 4.1.1 - 2024-03-23
4.1.1 fixes a compatibility regression in 4.1.0 for some extensions,
particularly jupyter-server-proxy.
([full changelog](https://github.com/jupyterhub/jupyterhub/compare/4.1.0...4.1.1))
#### Bugs fixed
- allow subclasses to override xsrf check [#4745](https://github.com/jupyterhub/jupyterhub/pull/4745) ([@minrk](https://github.com/minrk), [@consideRatio](https://github.com/consideRatio))
#### Contributors to this release
The following people contributed discussions, new ideas, code and documentation contributions, and review.
See [our definition of contributors](https://github-activity.readthedocs.io/en/latest/#how-does-this-tool-define-contributions-in-the-reports).
([GitHub contributors page for this release](https://github.com/jupyterhub/jupyterhub/graphs/contributors?from=2024-03-20&to=2024-03-23&type=c))
@consideRatio ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3AconsideRatio+updated%3A2024-03-20..2024-03-23&type=Issues)) | @minrk ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Aminrk+updated%3A2024-03-20..2024-03-23&type=Issues))
### 4.1.0 - 2024-03-20
JupyterHub 4.1 is a security release, fixing [CVE-2024-28233].
All JupyterHub deployments are encouraged to upgrade,
especially those with other user content on peer domains to JupyterHub.
As always, JupyterHub deployments are especially encouraged to enable per-user domains if protecting users from each other is a concern.
For more information on securely deploying JupyterHub, see the [web security documentation](web-security).
[CVE-2024-28233]: https://github.com/jupyterhub/jupyterhub/security/advisories/GHSA-7r3h-4ph8-w38g
([full changelog](https://github.com/jupyterhub/jupyterhub/compare/4.0.2...4.1.0))
#### Enhancements made
- Backport PR #4628 on branch 4.x (Include LDAP groups in local spawner gids) [#4735](https://github.com/jupyterhub/jupyterhub/pull/4735) ([@minrk](https://github.com/minrk))
- Backport PR #4561 on branch 4.x (Improve debugging when waiting for servers) [#4714](https://github.com/jupyterhub/jupyterhub/pull/4714) ([@minrk](https://github.com/minrk))
- Backport PR #4563 on branch 4.x (only set 'domain' field on session-id cookie) [#4707](https://github.com/jupyterhub/jupyterhub/pull/4707) ([@minrk](https://github.com/minrk))
#### Bugs fixed
- Backport PR #4733 on branch 4.x (Catch ValueError while waiting for server to be reachable) [#4734](https://github.com/jupyterhub/jupyterhub/pull/4734) ([@minrk](https://github.com/minrk))
- Backport PR #4679 on branch 4.x (Unescape jinja username) [#4705](https://github.com/jupyterhub/jupyterhub/pull/4705) ([@minrk](https://github.com/minrk))
- Backport PR #4630: avoid setting unused oauth state cookies on API requests [#4697](https://github.com/jupyterhub/jupyterhub/pull/4697) ([@minrk](https://github.com/minrk))
- Backport PR #4632: simplify, avoid errors in parsing accept headers [#4696](https://github.com/jupyterhub/jupyterhub/pull/4696) ([@minrk](https://github.com/minrk))
- Backport PR #4677 on branch 4.x (Improve validation, docs for token.expires_in) [#4692](https://github.com/jupyterhub/jupyterhub/pull/4692) ([@minrk](https://github.com/minrk))
- Backport PR #4570 on branch 4.x (fix mutation of frozenset in scope intersection) [#4691](https://github.com/jupyterhub/jupyterhub/pull/4691) ([@minrk](https://github.com/minrk))
- Backport PR #4562 on branch 4.x (Use `user.stop` to cleanup spawners that stopped while Hub was down) [#4690](https://github.com/jupyterhub/jupyterhub/pull/4690) ([@minrk](https://github.com/minrk))
- Backport PR #4542 on branch 4.x (Fix include_stopped_servers in paginated next_url) [#4689](https://github.com/jupyterhub/jupyterhub/pull/4689) ([@minrk](https://github.com/minrk))
- Backport PR #4651 on branch 4.x (avoid attempting to patch removed IPythonHandler with notebook v7) [#4688](https://github.com/jupyterhub/jupyterhub/pull/4688) ([@minrk](https://github.com/minrk))
- Backport PR #4560 on branch 4.x (singleuser extension: persist token from ?token=... url in cookie) [#4687](https://github.com/jupyterhub/jupyterhub/pull/4687) ([@minrk](https://github.com/minrk))
#### Maintenance and upkeep improvements
- Backport quay.io publishing [#4698](https://github.com/jupyterhub/jupyterhub/pull/4698) ([@minrk](https://github.com/minrk))
- Backport PR #4617: try to improve reliability of test_external_proxy [#4695](https://github.com/jupyterhub/jupyterhub/pull/4695) ([@minrk](https://github.com/minrk))
- Backport PR #4618 on branch 4.x (browser test: wait for token request to finish before reloading) [#4694](https://github.com/jupyterhub/jupyterhub/pull/4694) ([@minrk](https://github.com/minrk))
- preparing 4.x branch [#4685](https://github.com/jupyterhub/jupyterhub/pull/4685) ([@minrk](https://github.com/minrk), [@consideRatio](https://github.com/consideRatio))
#### Contributors to this release
The following people contributed discussions, new ideas, code and documentation contributions, and review.
See [our definition of contributors](https://github-activity.readthedocs.io/en/latest/#how-does-this-tool-define-contributions-in-the-reports).
([GitHub contributors page for this release](https://github.com/jupyterhub/jupyterhub/graphs/contributors?from=2023-08-10&to=2024-03-19&type=c))
@Achele ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3AAchele+updated%3A2023-08-10..2024-03-19&type=Issues)) | @akashthedeveloper ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Aakashthedeveloper+updated%3A2023-08-10..2024-03-19&type=Issues)) | @balajialg ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Abalajialg+updated%3A2023-08-10..2024-03-19&type=Issues)) | @BhavyaT-135 ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3ABhavyaT-135+updated%3A2023-08-10..2024-03-19&type=Issues)) | @blink1073 ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Ablink1073+updated%3A2023-08-10..2024-03-19&type=Issues)) | @consideRatio ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3AconsideRatio+updated%3A2023-08-10..2024-03-19&type=Issues)) | @fcollonval ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Afcollonval+updated%3A2023-08-10..2024-03-19&type=Issues)) | @I-Am-D-B ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3AI-Am-D-B+updated%3A2023-08-10..2024-03-19&type=Issues)) | @jakirkham ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Ajakirkham+updated%3A2023-08-10..2024-03-19&type=Issues)) | @ktaletsk ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Aktaletsk+updated%3A2023-08-10..2024-03-19&type=Issues)) | @kzgrzendek ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Akzgrzendek+updated%3A2023-08-10..2024-03-19&type=Issues)) | @lumberbot-app ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Alumberbot-app+updated%3A2023-08-10..2024-03-19&type=Issues)) | @manics ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Amanics+updated%3A2023-08-10..2024-03-19&type=Issues)) | @mbiette ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Ambiette+updated%3A2023-08-10..2024-03-19&type=Issues)) | @minrk ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Aminrk+updated%3A2023-08-10..2024-03-19&type=Issues)) | @rcthomas ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Arcthomas+updated%3A2023-08-10..2024-03-19&type=Issues)) | @ryanlovett ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Aryanlovett+updated%3A2023-08-10..2024-03-19&type=Issues)) | @sgaist ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Asgaist+updated%3A2023-08-10..2024-03-19&type=Issues)) | @shubham0473 ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Ashubham0473+updated%3A2023-08-10..2024-03-19&type=Issues)) | @Temidayo32 ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3ATemidayo32+updated%3A2023-08-10..2024-03-19&type=Issues)) | @willingc ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Awillingc+updated%3A2023-08-10..2024-03-19&type=Issues)) | @yuvipanda ([activity](https://github.com/search?q=repo%3Ajupyterhub%2Fjupyterhub+involves%3Ayuvipanda+updated%3A2023-08-10..2024-03-19&type=Issues))
## 4.0
### 4.0.2 - 2023-08-10

View File

@@ -6,21 +6,58 @@ The default Authenticator uses [PAM][] (Pluggable Authentication Module) to auth
their usernames and passwords. With the default Authenticator, any user
with an account and password on the system will be allowed to login.
## Create a set of allowed users (`allowed_users`)
## Deciding who is allowed
In the base Authenticator, there are 3 configuration options for granting users access to your Hub:
1. `allow_all` grants any user who can successfully authenticate access to the Hub
2. `allowed_users` defines a set of users who can access the Hub
3. `allow_existing_users` enables managing users via the JupyterHub API or admin page
These options should apply to all Authenticators.
Your chosen Authenticator may add additional configuration options to admit users, such as team membership, course enrollment, etc.
:::{important}
You should always specify at least one allow configuration if you want people to be able to access your Hub!
In most cases, this looks like:
```python
c.Authenticator.allow_all = True
# or
c.Authenticator.allowed_users = {"name", ...}
```
:::
:::{versionchanged} 5.0
If no allow config is specified, then by default **nobody will have access to your Hub**.
Prior to 5.0, the opposite was true; effectively `allow_all = True` if no other allow config was specified.
:::
You can restrict which users are allowed to login with a set,
`Authenticator.allowed_users`:
```python
c.Authenticator.allowed_users = {'mal', 'zoe', 'inara', 'kaylee'}
# c.Authenticator.allow_all = False
c.Authenticator.allow_existing_users = False
```
Users in the `allowed_users` set are added to the Hub database when the Hub is
started.
Users in the `allowed_users` set are added to the Hub database when the Hub is started.
```{warning}
If this configuration value is not set, then **all authenticated users will be allowed into your hub**.
```
:::{versionchanged} 5.0
{attr}`.Authenticator.allow_all` and {attr}`.Authenticator.allow_existing_users` are new in JupyterHub 5.0
to enable explicit configuration of previously implicit behavior.
Prior to 5.0, `allow_all` was implicitly True if `allowed_users` was empty.
Starting with 5.0, to allow all authenticated users by default,
`allow_all` must be explicitly set to True.
By default, `allow_existing_users` is True when `allowed_users` is not empty,
to ensure backward-compatibility.
To make the `allowed_users` set _restrictive_,
set `allow_existing_users = False`.
:::
## One Time Passwords ( request_otp )
@@ -42,7 +79,7 @@ c.Authenticator.otp_prompt = 'Google Authenticator:'
```{note}
As of JupyterHub 2.0, the full permissions of `admin_users`
should not be required.
Instead, you can assign [roles](define-role-target) to users or groups
Instead, it is best to assign [roles](define-role-target) to users or groups
with only the scopes they require.
```
@@ -68,26 +105,55 @@ group. For example, we can let any user in the `wheel` group be an admin:
c.PAMAuthenticator.admin_groups = {'wheel'}
```
## Give admin access to other users' notebook servers (`admin_access`)
## Give some users access to other users' notebook servers
Since the default `JupyterHub.admin_access` setting is `False`, the admins
do not have permission to log in to the single user notebook servers
owned by _other users_. If `JupyterHub.admin_access` is set to `True`,
then admins have permission to log in _as other users_ on their
respective machines for debugging. **As a courtesy, you should make
sure your users know if admin_access is enabled.**
The `access:servers` scope can be granted to users to give them permission to visit other users' servers.
For example, to give members of the `teachers` group access to the servers of members of the `students` group:
```python
c.JupyterHub.load_roles = [
{
"name": "teachers",
"scopes": [
"admin-ui",
"list:users",
"access:servers!group=students",
],
"groups": ["teachers"],
}
]
```
By default, only the deprecated `admin` role has global `access` permissions.
**As a courtesy, you should make sure your users know if admin access is enabled.**
## Add or remove users from the Hub
:::{versionadded} 5.0
`c.Authenticator.allow_existing_users` is added in 5.0 and True by default _if_ any `allowed_users` are specified.
Prior to 5.0, this behavior was not optional.
:::
Users can be added to and removed from the Hub via the admin
panel or the REST API. When a user is **added**, the user will be
automatically added to the `allowed_users` set and database. Restarting the Hub
will not require manually updating the `allowed_users` set in your config file,
panel or the REST API.
To enable this behavior, set:
```python
c.Authenticator.allow_existing_users = True
```
When a user is **added**, the user will be
automatically added to the `allowed_users` set and database.
If `allow_existing_users` is True, restarting the Hub will not require manually updating the `allowed_users` set in your config file,
as the users will be loaded from the database.
If `allow_existing_users` is False, users not granted access by configuration such as `allowed_users` will not be permitted to login,
even if they are present in the database.
After starting the Hub once, it is not sufficient to **remove** a user
from the allowed users set in your config file. You must also remove the user
from the Hub's database, either by deleting the user from JupyterHub's
from the Hub's database, either by deleting the user via JupyterHub's
admin page, or you can clear the `jupyterhub.sqlite` database and start
fresh.

View File

@@ -5,11 +5,11 @@
Before installing JupyterHub, you will need:
- a Linux/Unix-based system
- [Python](https://www.python.org/downloads/) 3.6 or greater. An understanding
- [Python {{python_min}}](https://www.python.org/downloads/) or greater. An understanding
of using [`pip`](https://pip.pypa.io) or
[`conda`](https://docs.conda.io/projects/conda/en/latest/user-guide/getting-started.html) for
installing Python packages is helpful.
- [nodejs/npm](https://www.npmjs.com/). [Install nodejs/npm](https://docs.npmjs.com/getting-started/installing-node),
- [Node.js {{node_min}}](https://www.npmjs.com/) or greater, along with npm. [Install Node.js/npm](https://docs.npmjs.com/getting-started/installing-node),
using your operating system's package manager.
- If you are using **`conda`**, the nodejs and npm dependencies will be installed for
@@ -24,7 +24,7 @@ Before installing JupyterHub, you will need:
```
[nodesource][] is a great resource to get more recent versions of the nodejs runtime,
if your system package manager only has an old version of Node.js (e.g. 10 or older).
if your system package manager only has an old version of Node.js.
- A [pluggable authentication module (PAM)](https://en.wikipedia.org/wiki/Pluggable_authentication_module)
to use the [default Authenticator](authenticators).