jupyterlab Desktop up to 4.6.2-0 Entitlement Configuration privileges management

Summaryinfo

A vulnerability identified as problematic has been detected in jupyterlab Desktop up to 4.6.2-0. This impacts an unknown function of the component Entitlement Configuration. This manipulation causes privileges management. This vulnerability appears as CVE-2025-54991. The attack requires local access. There is no available exploit. You should upgrade the affected component.

Detailsinfo

A vulnerability was found in jupyterlab Desktop up to 4.6.2-0. It has been declared as problematic. Affected by this vulnerability is some unknown functionality of the component Entitlement Configuration. The manipulation with an unknown input leads to a privileges management vulnerability. The CWE definition for the vulnerability is CWE-269. The product does not properly assign, modify, track, or check privileges for an actor, creating an unintended sphere of control for that actor. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

JupyterLab Desktop is the cross-platform desktop application for JupyterLab. Prior to 4.6.2-1, JupyterLab Desktop for macOS declared the com.apple.security.cs.allow-dyld-environment-variables entitlement, allowing the dynamic linker to honor DYLD_INSERT_LIBRARIES despite the hardened runtime. An attacker who can already execute code as the current user can load an arbitrary dynamic library into the JupyterLab Desktop process and inherit TCC permissions previously granted to the application, including access to protected Documents, Desktop, or Downloads folders without another macOS prompt. Exploitation requires existing local code execution and prior TCC grants; it does not provide initial or remote code execution. Windows and Linux are not affected. This vulnerability is fixed in 4.6.2-1.

The advisory is shared at github.com. This vulnerability is known as CVE-2025-54991 since 08/04/2025. The exploitation appears to be easy. An attack has to be approached locally. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1068 for this issue.

Upgrading to version 4.6.2-1 eliminates this vulnerability.

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Productinfo

Vendor

• jupyterlab

Name

• Desktop

Version

• 4.0
• 4.1
• 4.2
• 4.3
• 4.4
• 4.5
• 4.6.2-0

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