CVE-2025-9905 Affecting tensorflow-cpu-jupyter package, versions <2.20.0-r1


Severity

Recommended
0.0
high
0
10

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Threat Intelligence

EPSS
0.01% (1st percentile)

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  • Snyk IDSNYK-CHAINGUARDLATEST-TENSORFLOWCPUJUPYTER-13005320
  • published23 Sept 2025
  • disclosed19 Sept 2025

Introduced: 19 Sep 2025

NewCVE-2025-9905  (opens in a new tab)

How to fix?

Upgrade Chainguard tensorflow-cpu-jupyter to version 2.20.0-r1 or higher.

NVD Description

Note: Versions mentioned in the description apply only to the upstream tensorflow-cpu-jupyter package and not the tensorflow-cpu-jupyter package as distributed by Chainguard. See How to fix? for Chainguard relevant fixed versions and status.

The Keras Model.load_model method can be exploited to achieve arbitrary code execution, even with safe_mode=True.

One can create a specially crafted .h5/.hdf5 model archive that, when loaded via Model.load_model, will trigger arbitrary code to be executed.

This is achieved by crafting a special .h5 archive file that uses the Lambda layer feature of keras which allows arbitrary Python code in the form of pickled code. The vulnerability comes from the fact that the safe_mode=True option is not honored when reading .h5 archives.

Note that the .h5/.hdf5 format is a legacy format supported by Keras 3 for backwards compatibility.

CVSS Base Scores

version 3.1