CVE-2021-41247
JupyterHub Incomplete Logout Via Multi-Tab Session
Description
JupyterHub is an open source multi-user server for Jupyter notebooks. In affected versions users who have multiple JupyterLab tabs open in the same browser session, may see incomplete logout from the single-user server, as fresh credentials (for the single-user server only, not the Hub) reinstated after logout, if another active JupyterLab session is open while the logout takes place. Upgrade to JupyterHub 1.5. For distributed deployments, it is jupyterhub in the _user_ environment that needs patching. There are no patches necessary in the Hub environment. The only workaround is to make sure that only one JupyterLab tab is open when you log out.
INFO
Published Date :
Nov. 4, 2021, 6:15 p.m.
Last Modified :
Nov. 21, 2024, 6:25 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
3.6
Exploitability Score :
3.9
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2021-41247.
| URL | Resource |
|---|---|
| https://github.com/jupyterhub/jupyterhub/commit/5ac9e7f73a6e1020ffddc40321fc53336829fe27 | Patch Third Party Advisory |
| https://github.com/jupyterhub/jupyterhub/security/advisories/GHSA-cw7p-q79f-m2v7 | Third Party Advisory |
| https://github.com/jupyterhub/jupyterhub/commit/5ac9e7f73a6e1020ffddc40321fc53336829fe27 | Patch Third Party Advisory |
| https://github.com/jupyterhub/jupyterhub/security/advisories/GHSA-cw7p-q79f-m2v7 | Third Party Advisory |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2021-41247 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2021-41247 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
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CVE Modified by af854a3a-2127-422b-91ae-364da2661108
Nov. 21, 2024
Action Type Old Value New Value Added Reference https://github.com/jupyterhub/jupyterhub/commit/5ac9e7f73a6e1020ffddc40321fc53336829fe27 Added Reference https://github.com/jupyterhub/jupyterhub/security/advisories/GHSA-cw7p-q79f-m2v7 -
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Nov. 10, 2021
Action Type Old Value New Value Added CVSS V2 NIST (AV:N/AC:L/Au:N/C:N/I:P/A:N) Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N Changed Reference Type https://github.com/jupyterhub/jupyterhub/commit/5ac9e7f73a6e1020ffddc40321fc53336829fe27 No Types Assigned https://github.com/jupyterhub/jupyterhub/commit/5ac9e7f73a6e1020ffddc40321fc53336829fe27 Patch, Third Party Advisory Changed Reference Type https://github.com/jupyterhub/jupyterhub/security/advisories/GHSA-cw7p-q79f-m2v7 No Types Assigned https://github.com/jupyterhub/jupyterhub/security/advisories/GHSA-cw7p-q79f-m2v7 Third Party Advisory Added CWE NIST CWE-613 Added CPE Configuration OR *cpe:2.3:a:jupyter:jupyterhub:*:*:*:*:*:*:*:* versions from (including) 1.0.0 up to (excluding) 1.5.0
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2021-41247 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2021-41247
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.07 }} 0.01%
score
0.31287
percentile