CVE-2026-0897 Affecting tensorflow-cpu-jupyter package, versions <2.20.0-r9


Severity

Recommended
0.0
high
0
10

Snyk's Security Team recommends NVD's CVSS assessment. Learn more

Threat Intelligence

Social Trends
EPSS
0.3% (22nd percentile)

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-TENSORFLOWCPUJUPYTER-15229079
  • published5 Feb 2026
  • disclosed15 Jan 2026

Introduced: 15 Jan 2026

CVE-2026-0897  (opens in a new tab)

How to fix?

Upgrade Chainguard tensorflow-cpu-jupyter to version 2.20.0-r9 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.

Allocation of Resources Without Limits or Throttling in the HDF5 weight loading component in Google Keras 3.0.0 through 3.13.0 on all platforms allows a remote attacker to cause a Denial of Service (DoS) through memory exhaustion and a crash of the Python interpreter via a crafted .keras archive containing a valid model.weights.h5 file whose dataset declares an extremely large shape.

CVSS Base Scores

version 3.1