CVE-2024-35178
Jupyter Server Windows NTLMv2 Password Hash Extraction Vulnerability
Description
The Jupyter Server provides the backend for Jupyter web applications. Jupyter Server on Windows has a vulnerability that lets unauthenticated attackers leak the NTLMv2 password hash of the Windows user running the Jupyter server. An attacker can crack this password to gain access to the Windows machine hosting the Jupyter server, or access other network-accessible machines or 3rd party services using that credential. Or an attacker perform an NTLM relay attack without cracking the credential to gain access to other network-accessible machines. This vulnerability is fixed in 2.14.1.
INFO
Published Date :
June 6, 2024, 4:15 p.m.
Last Modified :
Oct. 24, 2024, 7:22 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
3.6
Exploitability Score :
3.9
Public PoC/Exploit Available at Github
CVE-2024-35178 has a 1 public PoC/Exploit
available at Github.
Go to the Public Exploits
tab to see the list.
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-2024-35178
.
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).
None
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The following list is the news that have been mention
CVE-2024-35178
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2024-35178
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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Initial Analysis by [email protected]
Oct. 24, 2024
Action Type Old Value New Value 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/79fbf801c5908f4d1d9bc90004b74cfaaeeed2df No Types Assigned https://github.com/jupyter-server/jupyter_server/commit/79fbf801c5908f4d1d9bc90004b74cfaaeeed2df Patch Changed Reference Type https://github.com/jupyter-server/jupyter_server/security/advisories/GHSA-hrw6-wg82-cm62 No Types Assigned https://github.com/jupyter-server/jupyter_server/security/advisories/GHSA-hrw6-wg82-cm62 Vendor Advisory Added CWE NIST NVD-CWE-noinfo Added CPE Configuration AND OR *cpe:2.3:a:jupyter:jupyter_server:*:*:*:*:*:*:*:* versions up to (excluding) 2.14.1 OR cpe:2.3:o:microsoft:windows:-:*:*:*:*:*:*:* -
CVE Received by [email protected]
Jun. 06, 2024
Action Type Old Value New Value Added Description The Jupyter Server provides the backend for Jupyter web applications. Jupyter Server on Windows has a vulnerability that lets unauthenticated attackers leak the NTLMv2 password hash of the Windows user running the Jupyter server. An attacker can crack this password to gain access to the Windows machine hosting the Jupyter server, or access other network-accessible machines or 3rd party services using that credential. Or an attacker perform an NTLM relay attack without cracking the credential to gain access to other network-accessible machines. This vulnerability is fixed in 2.14.1. Added Reference GitHub, Inc. https://github.com/jupyter-server/jupyter_server/security/advisories/GHSA-hrw6-wg82-cm62 [No types assigned] Added Reference GitHub, Inc. https://github.com/jupyter-server/jupyter_server/commit/79fbf801c5908f4d1d9bc90004b74cfaaeeed2df [No types assigned] Added CWE GitHub, Inc. CWE-200 Added CVSS V3.1 GitHub, Inc. AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2024-35178
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-2024-35178
weaknesses.