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JupyterLab: PyPI extension blocklist package-name canonicalization bypass

0
Medium
Published: 08/19/2026 (08/19/2026, 08:43:02 UTC)
Source: GCVE Database
Product: jupyterlab

Description

JupyterLab versions from 4.5.0 up to but not including 4.5.10, and from 4.6.0 up to but not including 4.6.2, contain a vulnerability in the PyPI extension manager. The blocklist enforcement uses a weaker normalization method than PyPI's canonical package-name normalization, allowing an authenticated user to bypass the blocklist by requesting an equivalent package name variant. This lets the user install prohibited extensions, defeating integrity restrictions and potentially affecting availability without gaining additional read access. The issue is fixed in versions 4.5.10 and 4.6.2.

CVSS v4.0

Attack Vector
Network
Attack Complexity
Low
Attack Requirements
Present
Privileges Required
Low
User Interaction
None
Vuln. Confidentiality
Low
Vuln. Integrity
High
Vuln. Availability
Low
Subsq. Confidentiality
None
Subsq. Integrity
None
Subsq. Availability
None
CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:L/VI:H/VA:L/SC:N/SI:N/SA:N

Affected software

PyPIghsa
jupyterlab
Affected versions
>=4.6.0 <4.6.2
PyPIghsa
jupyterlab
Affected versions
>=4.5.0 <4.5.10

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AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 08/19/2026, 14:08:04 UTC

Technical Analysis

JupyterLab's PyPI extension manager enforces a blocklist of prohibited extensions by comparing requested package names to blocklist entries using a custom normalization method that is weaker than PyPI's canonical package-name normalization. This discrepancy allows an authenticated user to bypass the blocklist by requesting a PyPI-equivalent package name variant (e.g., 'JupyterLab.Git' instead of 'jupyterlab-git'), which JupyterLab accepts while pip resolves both to the same package. The vulnerability affects versions >=4.5.0 <4.5.10 and >=4.6.0 <4.6.2. Exploitation requires the use of the PyPI Extension Manager and an allowlist or blocklist intended to restrict package installation. The impact includes installation of prohibited extensions, bypassing integrity restrictions, and affecting availability without gaining new read access. The issue is resolved in versions 4.5.10 and 4.6.2.

Potential Impact

An authenticated user can bypass the PyPI extension blocklist by using package name variants that are equivalent under PyPI's canonicalization but not recognized by JupyterLab's weaker normalization. This allows installation of prohibited extensions, which can defeat integrity restrictions and impact availability. However, the vulnerability does not grant new read access privileges. The impact is limited to environments using the PyPI Extension Manager with blocklists or allowlists configured, and where kernels and terminals are either disabled or delegated to remote hosts.

Mitigation Recommendations

A fix is available in JupyterLab versions 4.5.10 and 4.6.2. Users should upgrade to at least these versions to resolve the vulnerability. If upgrading is not immediately possible, review and adjust extension installation policies and consider restricting authenticated user permissions to limit potential exploitation. No additional vendor advisories indicate alternative mitigations or that the issue is already mitigated.

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Technical Details

Gcve Source
db.gcve.eu
Osv Id
GHSA-89vp-jrxv-24w8
Osv Schema Version
1.4.0
Aliases
[]
Ecosystems
["PyPI"]
Database Specific Severity
MODERATE
Cvss Version
4.0

Threat ID: 6a616bcb9c2644c7f80dbc42

Added to database: 07/23/2026, 01:18:03 UTC

Last enriched: 08/19/2026, 14:08:04 UTC

Last updated: 09/05/2026, 11:52:16 UTC

Views: 58

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