Quick answers
- Is CVE-2026-73626 exploited in the wild?
- No. Junglewise Threat Intelligence has no report of CVE-2026-73626 being exploited in the wild.
- How severe is CVE-2026-73626?
- High severity, with a CVSS score of 7.5, published 13 August 2026.
- Which products and versions are affected?
- jupyterlab (PyPI) ECOSYSTEM:introduced=4.6.0,fixed=4.6.2.
- Is there a fix for CVE-2026-73626?
- Yes. jupyterlab (PyPI): upgrade to 4.6.2 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.
- How is CVE-2026-73626 attacked?
- It is attacked over the network.
- Am I affected by CVE-2026-73626?
- Check whether you run jupyterlab (PyPI) at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.
How to fix
- jupyterlab (PyPI): upgrade to 4.6.2 or later
pip install "jupyterlab>=4.6.2"
Technical details
The vulnerability is an improper access control and failing-open issue (CWE-284, CWE-636) in the PyPIExtensionManager.install() method. A missing 'await' keyword caused the is_install_allowed coroutine to never execute, bypassing the allowlist/blocklist enforcement for direct method callers. The stock JupyterLab HTTP API and Extension Manager UI are unaffected because they perform a separate, correctly awaited allowlist check before invoking install(). The vulnerability only impacts deployments where custom extensions or downstream integrations call install() directly with untrusted input, an allowlist/blocklist is configured, the PyPI Extension Manager is enabled, and kernels and terminals are disabled or delegated remotely. An attacker can install unauthorized packages, bypassing security policy. Fixed in JupyterLab 4.6.2 and 4.5.10.
Affected products
- JupyterLab JupyterLab >=4.6.0,<=4.6.1 and <=4.5.9
Identifiers
- CVE-2026-73626
- GHSA-whvh-wf3x-g77j
Timeline
- 2026-07-21: disclosed
- 2026-08-13: advisory
- 2026: patched: Fixed in JupyterLab 4.6.2 and 4.5.10