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CVE-2026-1462: Keras has an untrusted deserialization vulnerability

April 13, 2026 (updated April 14, 2026)

A vulnerability in the TFSMLayer class of the keras package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of .keras models, even when safe_mode=True. This bypasses the security guarantees of safe_mode and enables arbitrary attacker-controlled code execution during model inference under the victim’s privileges. The issue arises due to the unconditional loading of external SavedModels, serialization of attacker-controlled file paths, and the lack of validation in the from_config() method.

References

  • github.com/advisories/GHSA-4f3f-g24h-fr8m
  • github.com/keras-team/keras
  • github.com/keras-team/keras/commit/b6773d3decaef1b05d8e794458e148cb362f163f
  • github.com/keras-team/keras/pull/22035
  • huntr.com/bounties/7e78d6f1-6977-4300-b595-e81bdbda331c
  • nvd.nist.gov/vuln/detail/CVE-2026-1462

Code Behaviors & Features

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Affected versions

All versions before 3.13.2

Fixed versions

  • 3.13.2

Solution

Upgrade to version 3.13.2 or above.

Impact 8.8 HIGH

CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Learn more about CVSS

Weakness

  • CWE-502: Deserialization of Untrusted Data

Source file

pypi/keras/CVE-2026-1462.yml

Spotted a mistake? Edit the file on GitLab.

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