Jupyter Server up to 2.14.0 Password Hash information disclosure

Summaryinfo

A vulnerability labeled as problematic has been found in Jupyter Server up to 2.14.0. Affected by this vulnerability is an unknown functionality of the component Password Hash Handler. Executing a manipulation can lead to information disclosure. This vulnerability is handled as CVE-2024-35178. The attack can be executed remotely. There is not any exploit available. The affected component should be upgraded.

Detailsinfo

A vulnerability classified as problematic was found in Jupyter Server up to 2.14.0. This vulnerability affects an unknown part of the component Password Hash Handler. The manipulation with an unknown input leads to a information disclosure vulnerability. The CWE definition for the vulnerability is CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. As an impact it is known to affect confidentiality. CVE summarizes:

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.

The advisory is shared for download at github.com. This vulnerability was named CVE-2024-35178 since 05/10/2024. The exploitation appears to be easy. The attack can be initiated remotely. No form of authentication is required for a successful exploitation. There are neither technical details nor an exploit publicly available. The MITRE ATT&CK project declares the attack technique as T1592.

Upgrading to version 2.14.1 eliminates this vulnerability. Applying the patch 79fbf801c5908f4d1d9bc90004b74cfaaeeed2df is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

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Productinfo

Vendor

• Jupyter

Name

• Server

Version

• 2.0
• 2.1
• 2.2
• 2.3
• 2.4
• 2.5
• 2.6
• 2.7
• 2.8
• 2.9
• 2.10
• 2.11
• 2.12
• 2.13
• 2.14.0

License

• open-source

CPE 2.3info

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CPE 2.2info

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• 🔍
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