Token authentication is enabled jupiter что это
Jupyter does not show token #2978
Comments
fbdmw commented Oct 25, 2017
Hi,
I have a mind-boggling issue trying to connect via ssh to a jupyter notebook with jupyter 4.2.0 under conda. The config file of jupyter is the default one. For some reason when I fire up jupyter no token is shown, while trying to access it gives the token login page with «Token authentication is enabled».
jupyter notebook list outputs
What could cause this? Is there a way to run jupyter in verbose mode or something like this to see what is happening?
Thank you
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takluyver commented Oct 25, 2017
iromeo commented Dec 14, 2017
rraadd88 commented Nov 15, 2018
I’ve been using jupyter notebook for
3yrs and I had to come to this thread to solve the issue.
As a suggestion, help message of jupyter list could be changed from
Gateway2745 commented Apr 10, 2020
I am facing a similar issue and haven’t been able to retrieve the token.
My Jupyter notebook is version 6.0.0. I have ssh access to the remote server and the notebook is password protected. However I also need a token so I can connect Google Colab to it.
does not show any token.
Also,
kevin-bates commented Apr 10, 2020
Your configuration file entries should resemble something akin to:
Application startup should present an elipsis for the token.
Yet, jupyter notebook list will display the token, and indicate passwords are enabled:
I’m going to close this issue since its quite old and no changes have been implied. We can re-open should we find that necessary, but a new issue would probably be the suggested approach at that time. Thank you.
How to disable password request for a Jupyter notebook session?
I have been launching Jupyter Notebook for years using the following command:
When I try to open the jupyter on the browser it ask me for a password, even though I have never set any before. It is important to note that If I do set the port to a value different than 7000 (eg., the default 8888) the interface will open with no problem
I am running jupyter locally, and on the following setup:
With the following modules installed:
NOTE: I have no jupyter configurations file
Following are some of the output lines from the server:
And follwing are messages after I try to open it on the browser (using port 7000)
At this point there is a page from jupyter asking me to insert a password I have never set before.
SOLVED!
With latest update of notebook module (4.3.1) the problem has been solved.
Once the jupyter notebook is launched the user is prompted to paste a URL into the browser at the first connection:
This solved the problem!
12 Answers 12
The following is very unsafe, but you can remove the password completely with:
it still asks for a password for security reasons, since users with access can run arbitrary Python code on the server machine!
Note that on my machine, running just:
already opens a logged-in window on my browser, and stdout contains:
so if your browser is not opening automatically, you can try one of those links, which seem to have a login token on them, and then investigate why your browser is not opening automatically.
Tested on Jupyter 4.4.x, Ubuntu 18.04.
How to avoid «Invalid credentials» by disabling jupyter Notebook Password & Token
First open Anaconda Prompt
made changes into the following command
Now launch the jupyter notebook from anaconda navigator definitely the problem will be resolved as soon..
If you are trying to run from docker without password just use CMD like bellow:
Notebook 4.3.0 has enabled login security by default. The token to enter in the password field is printed in the output of the notebok server during startup (or can be included directly in the URL)
However, this would not explain why you get the password prompt when running on one port but not on another
You can first create a jupyter config file with:
As mentioned in comment, Setting to an empty string disables authentication altogether, which is NOT RECOMMENDED.
The same issue occured on my machine since the last update of the jupyter-notebook package. After installing version
it prompted me for a password I never set. Downgrading to
worked for me keeping the system a productive environment. Of course this is just a fast patch.
made no difference.
I solved the token authentication by replacing the password inside jupyter_notebook_config.json by running jupyter notebook password on the command line:
For me, the solutions described above was not applicable in Docker.
The following solution works like a charm on Linux:
Details:
Steps to start Jupyter in Docker with your pre-defined password:
For me, that is the easiest way to get rid of the annoying token authentication.
Set a default password using below command
jupyter notebook password
Restart your notebook and enter the same password in the Browser
Use the command jupyter notebook password to open jupyter & it asks to enter a new password.
The hashed password is updated in the jupyter_notebook_config.json file.
This answer is just to summarize what others said and give my two cents on the token thing discussed in the other answers.
There are two ways to do it permanently:
Change the password using Jupyter cli:
I tried to set an empty password here but apparently Jupyter does not allow that, something is generated for you if you don’t fill it.
That’s it. Now, whenever a new instance of jupyter notebook comes up you should NOT be asked for a password or token.
Run notebook without requesting for stupid token #2254
Comments
rornor commented Mar 5, 2017
How can I disable token requirement?
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Carreau commented Mar 7, 2017
How can I disable token requirement?
without requesting for stupid token
It’s not stupid, it’s to prevent random website you visit from executing code on your machine.
Carreau commented Mar 7, 2017
Token authentication is enabled. You need to open the notebook server with its first-time login token in the URL, or enable a password in order to gain access
So that’s already in the middle of the explanations.
JoshuaC3 commented Jul 25, 2017
What if you cannot get the token, say, if it running as a service?
takluyver commented Jul 25, 2017
libphy commented Jul 28, 2017
I’m running jupyter using ssh tunneling. I feel too that the token request by default is stupid. When I run browserless jupyter on the server as background and connect from a remote, it’s impossible to see the token from the remote.
takluyver commented Jul 28, 2017
Sorry, we know it’s a pain, but the potential security issues that were highlighted were bad enough that we couldn’t leave authentication off by default.
woodrujm commented Aug 1, 2017
Neither «jupyter notebook password» nor «from notebook.auth import passwd» nor copying the token from «jupyter notebook list» work for me. This is very stupid.
woodrujm commented Aug 1, 2017
(with docker for tensor flow)
takluyver commented Aug 2, 2017
Calling stuff ‘stupid’ does not make us more keen to help you work these problems out.
libphy commented Aug 2, 2017
@takluyver Thanks, setting a password satisfied my need.
Carreau commented Aug 2, 2017
One thing that could be helpful (if one of you want to contribute), is to help having a UI element to set a password. We have most of the tools in tools/secure_notebook.py but it is not tested enough, probably miss some error handling, links in the docs and then a better CLI tool, and/or UI in the notebook to set-up a password once you’ve logged in once.
RubenS02 commented Aug 9, 2017 •
If you do not care about the security of the server, you can first create a jupyer config file with:
cd
ArieTwigt commented Oct 16, 2017 •
I had the same issue. The three minor actions that worked for me:
Disable/empty the caches of the browser (Safari in my case);
With the tunneling, check if the port of your local machine is already in use. Otherwise use another port for your local machine, like 8001:
From these actions, I think checking the caching by the browser was the most crucial.
bosr commented Nov 19, 2017
This is bad practice, as aptly reminded above by the owners, but can be useful in specific cases.
Carreau commented Nov 20, 2017
You can also do jupyter notebook password as pointed before, and create an empty password. As you said it is a really bad idea.
The next version of the notebook should allow you to setup a password directly on the login page. So at first launch it will ask you for your token and optionally a new password. Then you’re set.
kurtbrose commented Dec 11, 2017 •
(I am fine with the current state of things, just curious to understand the security side of things here.)
Carreau commented Dec 11, 2017
You are spot on on the actual security issues, and while there is no definite public case of that kind of things having happen, we’ve heard of cases where security features were disabled because of other security layers were deemed enough.
It may even be possible to get access to a localhost-only listening notebook by visiting websites and using localhost DNS rebinding attacks. I’m not going to pretend I understand that, but better safe than sorry.
takluyver commented Dec 11, 2017
There’s the issue about one user running code as another, as you pointed out.
Khalilsqu commented Dec 23, 2017 •
i gave up using linux windows subsystem because of this token issue.
cant even use spyder-notebook or pycharm-notebook.
not sure why yet to type yes after pressing Ctrl+c shutting down kernel, just close it without additional confirmation as the case is with windows
sem-geologist commented Jan 18, 2018
only that setting password just not works. This is bizzare. I just wanted to demonstrate how nice and convenient jupyter is. and well it is stupid. another potential users scared away. Good work!
takluyver commented Jan 18, 2018
Could you be more specific? It’s hard to debug ‘just not works’.
Carreau commented Jan 18, 2018
I understand your frustration when things don’t work as expected, but please pay attention to your language. We spend lots of time and work to make things as easy as possible while still secure, and it personally hurt when I spent a week implementing the new screen to simplify setting password without having to reach for the command line. We unfortunately don’t have access to infinite resources, and sometime we miss edge cases. We would be happy to work with you to figure out why it did not work for you, and how to make sure it does not affect other people.
Without token or password, you would be vulnerable to local code execution on your machine by just visiting a website.
If you want even more convenience, I would suggest also trying https://nteract.io/, which is a native electron app that can open and run Jupyter notebooks. It is making some good progress these days and seem to be better suited to some people.
tillahoffmann commented Jan 26, 2018
@Carreau, @takluyver, thank you for all the hard work!
Carreau commented Jan 26, 2018
We have started using the JUPYTER_TOKEN environment variable introduced in #2921. It can easily be set using whatever configuration tools you are using (.env files, puppet, etc.).
Oh, I had missed that one. Good point.
deadhandsignal commented Feb 2, 2018
Yes this is the a fckn ridiculous setup when starting to use any application. I’m in a class full of people with the exact same problem, everyone frustrated, need to do better and stop making excuses.
takluyver commented Feb 2, 2018
I’ve locked this conversation now, because it’s generating angry responses, not useful input.
We understand that the security token makes using the notebook less convenient in some situations. As described above, we’ve done a variety of things to try to mitigate this. We’re happy to have constructive discussions about what more we might be able to do. But we’re not here to be yelled at when you don’t like something.
The DNS rebinding attack is not easy to understand, but it is real, and in the context of Jupyter it could mean that a random website you visit while Jupyter is running could take over your computer. We’re obviously not about to take chances with that, so the token mechanism is staying unless someone can find a way to make it clearly unnecessary.
Token authentication is enabled is drive me crazy #3632
Comments
janascc commented May 22, 2018
Hi guys
I can’t use jupyter Python because of this «Token authentication is enabled».
Unfortunately, I am not able to run either the command «Jupyter notebook list» because I am using windows in a business environment, hence, no command prompt available either.
The IT desktop support installed Python Anaconda but they don’t have any clue how to provide me with a token or a password.
Do you mind please help me with some workaround or simple hints to share with the IT support?
PS: the IT desktop support, already went through all info in https://jupyter-notebook.readthedocs.io/en/stable/public_server.html without understanding what actually they have to do for help.
Thank you in advance.
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takluyver commented May 23, 2018
The jupyter notebook list command calls this Python function, which reads data from some JSON files. If you can figure out a way to read those, you can get the token without the command prompt.
janascc commented May 23, 2018 •
@takluyver
First thank you for your answer, but I am sorry, still missing few crucial details.
Let stay stick to the second option, where I can alternatively configuring a password by myself, mainly because in the real world even the IT desk supports is not able to support everything.
I, therefore, read what advised in the below link:
https://jupyter-notebook.readthedocs.io/en/stable/public_server.html?highlight=password#securing-a-notebook-server
But my question is How can I set up a password by «entering a token» if I don’t know where I can get the token that I need for?
Thank you in advance
Giuseppe
Gently remind: I am not able to run either the command «Jupyter notebook list» because I am using windows in a business environment, hence, no command prompt available either.
takluyver commented May 23, 2018
All of the recommended ways to set the password either require you to have got the token once, or to run things at the command prompt. I’ve never come across an environment where the command prompt is disabled before.
janascc commented May 24, 2018
@takluyver problem solved, many thanks
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Security in the Jupyter notebook serverпѓЃ
Since access to the Jupyter notebook server means access to running arbitrary code, it is important to restrict access to the notebook server. For this reason, notebook 4.3 introduces token-based authentication that is on by default.
If you enable a password for your notebook server, token authentication is not enabled by default, and the behavior of the notebook server is unchanged from versions earlier than 4.3.
When token authentication is enabled, the notebook uses a token to authenticate requests. This token can be provided to login to the notebook server in three ways:
in the Authorization header, e.g.:
In a URL parameter, e.g.:
In the password field of the login form that will be shown to you if you are not logged in.
When you start a notebook server with token authentication enabled (default), a token is generated to use for authentication. This token is logged to the terminal, so that you can copy/paste the URL into your browser:
At any later time, you can see the tokens and URLs for all of your running servers with jupyter notebook list:
For servers with token-authentication enabled, the URL in the above listing will include the token, so you can copy and paste that URL into your browser to login. If a server has no token (e.g. it has a password or has authentication disabled), the URL will not include the token argument. Once you have visited this URL, a cookie will be set in your browser and you won’t need to use the token again, unless you switch browsers, clear your cookies, or start a notebook server on a new port.
Alternatives to token authenticationпѓЃ
New in version 5.0: jupyter notebook password command is added.
It is possible to disable authentication altogether by setting the token and password to empty strings, but this is NOT RECOMMENDED, unless authentication or access restrictions are handled at a different layer in your web application:
Security in notebook documentsпѓЃ
As Jupyter notebooks become more popular for sharing and collaboration, the potential for malicious people to attempt to exploit the notebook for their nefarious purposes increases. IPython 2.0 introduced a security model to prevent execution of untrusted code without explicit user input.
The problemпѓЃ
The whole point of Jupyter is arbitrary code execution. We have no desire to limit what can be done with a notebook, which would negatively impact its utility.
Unlike other programs, a Jupyter notebook document includes output. Unlike other documents, that output exists in a context that can execute code (via Javascript).
The security problem we need to solve is that no code should execute just because a user has opened a notebook that they did not write. Like any other program, once a user decides to execute code in a notebook, it is considered trusted, and should be allowed to do anything.
Our security modelпѓЃ
Untrusted HTML is always sanitized
Untrusted Javascript is never executed
HTML and Javascript in Markdown cells are never trusted
Outputs generated by the user are trusted
Any other HTML or Javascript (in Markdown cells, output generated by others) is never trusted
The central question of trust is “Did the current user do this?”
The details of trustпѓЃ
When a notebook is executed and saved, a signature is computed from a digest of the notebook’s contents plus a secret key. This is stored in a database, writable only by the current user. By default, this is located at:
Each signature represents a series of outputs which were produced by code the current user executed, and are therefore trusted.
When you open a notebook, the server computes its signature, and checks if it’s in the database. If a match is found, HTML and Javascript output in the notebook will be trusted at load, otherwise it will be untrusted.
Any output generated during an interactive session is trusted.
Updating trustпѓЃ
A notebook’s trust is updated when the notebook is saved. If there are any untrusted outputs still in the notebook, the notebook will not be trusted, and no signature will be stored. If all untrusted outputs have been removed (either via Clear Output or re-execution), then the notebook will become trusted.
While trust is updated per output, this is only for the duration of a single session. A newly loaded notebook file is either trusted or not in its entirety.
Explicit trustпѓЃ
Sometimes re-executing a notebook to generate trusted output is not an option, either because dependencies are unavailable, or it would take a long time. Users can explicitly trust a notebook in two ways:
At the command-line, with:
After loading the untrusted notebook, with File / Trust Notebook
These two methods simply load the notebook, compute a new signature, and add that signature to the user’s database.
Reporting security issuesпѓЃ
Affected use casesпѓЃ
Some use cases that work in Jupyter 1.0 became less convenient in 2.0 as a result of the security changes. We do our best to minimize these annoyances, but security is always at odds with convenience.
Javascript and CSS in Markdown cellsпѓЃ
While never officially supported, it had become common practice to put hidden Javascript or CSS styling in Markdown cells, so that they would not be visible on the page. Since Markdown cells are now sanitized (by Google Caja), all Javascript (including click event handlers, etc.) and CSS will be stripped.
We plan to provide a mechanism for notebook themes, but in the meantime styling the notebook can only be done via either custom.css or CSS in HTML output. The latter only have an effect if the notebook is trusted, because otherwise the output will be sanitized just like Markdown.
CollaborationпѓЃ
When collaborating on a notebook, people probably want to see the outputs produced by their colleagues’ most recent executions. Since each collaborator’s key will differ, this will result in each share starting in an untrusted state. There are three basic approaches to this:
re-run notebooks when you get them (not always viable)
explicitly trust notebooks via jupyter trust or the notebook menu (annoying, but easy)
share a notebook signatures database, and use configuration dedicated to the collaboration while working on the project.
To share a signatures database among users, you can configure:
to specify a non-default path to the SQLite database (of notebook hashes, essentially). We are aware that SQLite doesn’t work well on NFS and we are working out better ways to do this.