CVE-2026-102904
MEDIUMJupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From JupyterLab 4.0.0 until 4.5.11 and 4.6.4, the PyPI Extension Manager uninstall request reaches ExtensionHandler.post, which validates extension names for installation...
Full CISO analysis pending enrichment.
How severe is it?
What is the attack surface?
What should I do?
No patch available
Monitor for updates. Consider compensating controls or temporary mitigations.
Which compliance frameworks are affected?
Compliance analysis pending. Sign in for full compliance mapping when available.
Frequently Asked Questions
What is CVE-2026-102904?
JupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From JupyterLab 4.0.0 until 4.5.11 and 4.6.4, the PyPI Extension Manager uninstall request reaches ExtensionHandler.post, which validates extension names for installation but passes uninstall names to PyPIExtensionManager.uninstall and python -m pip uninstall without rejecting option-like values. The security impact requires that the PyPI Extension Manager is enabled, the account can call the extension API, and kernels and terminals are disabled or delegated to remote hosts; otherwise the user can already read files and make outbound requests directly. An authenticated user with extension API access can supply a pip requirements option to make the server read a local file or fetch an internal URL, and reflected parse errors can return the first unparsable line or response content. A pip log option can also create or corrupt a chosen path with pip-generated log text, but the requester cannot select an arbitrary disclosed line or arbitrary file content, and the injection does not add code execution or availability impact beyond ordinary package removal. This issue is fixed in JupyterLab 4.5.11 and 4.6.4.
Is CVE-2026-102904 actively exploited?
No confirmed active exploitation of CVE-2026-102904 has been reported, but organizations should still patch proactively.
How to fix CVE-2026-102904?
No patch is currently available. Monitor vendor advisories for updates.
What is the CVSS score for CVE-2026-102904?
CVE-2026-102904 has a CVSS v3.1 base score of 5.4 (MEDIUM).
What are the technical details?
Original Advisory
JupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From JupyterLab 4.0.0 until 4.5.11 and 4.6.4, the PyPI Extension Manager uninstall request reaches ExtensionHandler.post, which validates extension names for installation but passes uninstall names to PyPIExtensionManager.uninstall and python -m pip uninstall without rejecting option-like values. The security impact requires that the PyPI Extension Manager is enabled, the account can call the extension API, and kernels and terminals are disabled or delegated to remote hosts; otherwise the user can already read files and make outbound requests directly. An authenticated user with extension API access can supply a pip requirements option to make the server read a local file or fetch an internal URL, and reflected parse errors can return the first unparsable line or response content. A pip log option can also create or corrupt a chosen path with pip-generated log text, but the requester cannot select an arbitrary disclosed line or arbitrary file content, and the injection does not add code execution or availability impact beyond ordinary package removal. This issue is fixed in JupyterLab 4.5.11 and 4.6.4.
Weaknesses (CWE)
CWE-209 Generation of Error Message Containing Sensitive Information
Primary
CWE-88 Improper Neutralization of Argument Delimiters in a Command ('Argument Injection')
Primary
CWE-918 Server-Side Request Forgery (SSRF)
Primary
CWE-209 — Generation of Error Message Containing Sensitive Information: The product generates an error message that includes sensitive information about its environment, users, or associated data.
- [Implementation] Ensure that error messages only contain minimal details that are useful to the intended audience and no one else. The messages need to strike the balance between being too cryptic (which can confuse users) or being too detailed (which may reveal more than intended). The messages should not reveal the methods that were used to determine the error. Attackers can use detailed information to refine or optimize their original attack, thereby increasing their chances of success. If errors must be captured in some detail, record them in log messages, but consider what could occur if the log messages can be viewed by attackers. Highly sensitive information such as passwords should never be saved to log files. Avoid inconsistent messaging that might accidentally tip off an attacker about internal state, such as whether a user account exists or not.
- [Implementation] Handle exceptions internally and do not display errors containing potentially sensitive information to a user.
Source: MITRE CWE corpus.
CVSS Vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N References
- github.com/jupyterlab/jupyterlab/commit/a274a8276b9185d03efd4c3c20713d3137ac49e6
- github.com/jupyterlab/jupyterlab/commit/e277bc958e737130ac47b6c5078d08b29298828f
- github.com/jupyterlab/jupyterlab/releases/tag/v4.5.11
- github.com/jupyterlab/jupyterlab/releases/tag/v4.6.4
- github.com/jupyterlab/jupyterlab/security/advisories/GHSA-3325-v43h-43rv