Logging of Excessive Data Affecting jupyterhub package, versions [,5.5.0)
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-PYTHON-JUPYTERHUB-18592368
- published8 Aug 2026
- disclosed7 Aug 2026
- creditmauriceng98, Zyy0530, Str1ckl4nd, 7thParkk
Introduced: 7 Aug 2026
NewCVE-2026-54338 (opens in a new tab)How to fix?
Upgrade jupyterhub to version 5.5.0 or higher.
Overview
jupyterhub is a JupyterHub: A multi-user server for Jupyter notebooks
Affected versions of this package are vulnerable to Logging of Excessive Data via the login process. An attacker can exhaust logging and storage resources by submitting invalid input with excessively large or numerous usernames during failed authentication attempts.