CVE-2022-24757
Apache Jupyter Server Auth Cookie Logging Vulnerability
Description
The Jupyter Server provides the backend (i.e. the core services, APIs, and REST endpoints) for Jupyter web applications. Prior to version 1.15.4, unauthorized actors can access sensitive information from server logs. Anytime a 5xx error is triggered, the auth cookie and other header values are recorded in Jupyter Server logs by default. Considering these logs do not require root access, an attacker can monitor these logs, steal sensitive auth/cookie information, and gain access to the Jupyter server. Jupyter Server version 1.15.4 contains a patch for this issue. There are currently no known workarounds.
INFO
Published Date :
March 23, 2022, 9:15 p.m.
Last Modified :
Nov. 21, 2024, 6:51 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-2022-24757.
| URL | Resource |
|---|---|
| https://github.com/jupyter-server/jupyter_server/commit/a5683aca0b0e412672ac6218d09f74d44ca0de5a | Patch Third Party Advisory |
| https://github.com/jupyter-server/jupyter_server/security/advisories/GHSA-p737-p57g-4cpr | Third Party Advisory |
| https://github.com/jupyter-server/jupyter_server/commit/a5683aca0b0e412672ac6218d09f74d44ca0de5a | Patch Third Party Advisory |
| https://github.com/jupyter-server/jupyter_server/security/advisories/GHSA-p737-p57g-4cpr | 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-2022-24757 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2022-24757 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.
-
CVE Modified by af854a3a-2127-422b-91ae-364da2661108
Nov. 21, 2024
Action Type Old Value New Value Added Reference https://github.com/jupyter-server/jupyter_server/commit/a5683aca0b0e412672ac6218d09f74d44ca0de5a Added Reference https://github.com/jupyter-server/jupyter_server/security/advisories/GHSA-p737-p57g-4cpr -
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Apr. 04, 2022
Action Type Old Value New Value Added CVSS V2 NIST (AV:N/AC:L/Au:N/C:P/I:N/A:N) Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N Changed Reference Type https://github.com/jupyter-server/jupyter_server/commit/a5683aca0b0e412672ac6218d09f74d44ca0de5a No Types Assigned https://github.com/jupyter-server/jupyter_server/commit/a5683aca0b0e412672ac6218d09f74d44ca0de5a Patch, Third Party Advisory Changed Reference Type https://github.com/jupyter-server/jupyter_server/security/advisories/GHSA-p737-p57g-4cpr No Types Assigned https://github.com/jupyter-server/jupyter_server/security/advisories/GHSA-p737-p57g-4cpr Third Party Advisory Added CPE Configuration OR *cpe:2.3:a:jupyter:jupyter_server:*:*:*:*:*:*:*:* versions up to (excluding) 1.15.4
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2022-24757 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-2022-24757
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.14 }} -0.01%
score
0.49686
percentile