Directory Traversal Affecting tensorflow-gpu-jupyter package, versions <2.21.0-r14
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.
Do your applications use this vulnerable package?
In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.
Test your applications- Snyk IDSNYK-CHAINGUARDLATEST-TENSORFLOWGPUJUPYTER-21693844
- published24 Oct 2026
- disclosed21 Oct 2026
Introduced: 21 Oct 2026
NewCVE-2026-114140 (opens in a new tab)How to fix?
Upgrade Chainguard tensorflow-gpu-jupyter to version 2.21.0-r14 or higher.
NVD Description
Note: Versions mentioned in the description apply only to the upstream tensorflow-gpu-jupyter package and not the tensorflow-gpu-jupyter package as distributed by Chainguard.
See How to fix? for Chainguard relevant fixed versions and status.
The nbconvert tool, jupyter nbconvert, converts Jupyter notebooks to various other formats via Jinja templates. From 5.4.0 until 7.17.2, ExtractOutputPreprocessor in nbconvert/preprocessors/extractoutput.py joins the attacker-controlled cell output metadata filename to output_files_dir without limiting the result to the intended directory. When a victim converts a malicious notebook with the markdown, LaTeX, reStructuredText, or AsciiDoc exporter, path traversal in the output filename can write attacker-controlled output data to arbitrary locations accessible to the victim. Running the notebook cell again replaces the malicious output metadata, but merely converting the supplied notebook does not. This issue is fixed in version 7.17.2.