Skip to content
fr Sign in
8.8 High

CVE-2026-1462 A vulnerability in the `TFSMLayer` class of the `keras` package, version 3.13.0, allows attacker-controlled TensorFlow…

Description

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.

Affected products and versions

Product Affected versions Fixed in
keras-team/keras 3.13 earliest → < 3.13.2 3.13.2
Red Hat OpenShift AI 2.25 1780394782 earliest → < 1780394782 1780394782
Red Hat OpenShift AI (RHOAI) Versions not published
Red Hat OpenShift AI 3.3 1782471835 earliest → < 1782471835 1782471835

References

Timeline

  1. Published
  2. Last modified

Other CVEs of keras-team/keras

The 10 CVEs of keras-team/keras →
CVE-2026-12570 A vulnerability in keras-team/keras… 5.5 Medium CVE-2026-9335 A vulnerability in keras-team/keras… 6.5 Medium CVE-2026-12484 A vulnerability in keras-team/keras version 3.15.0 allows unsafe deserialization of attacker-controlled PyTorch pickle… 7.8 High CVE-2026-12482 A vulnerability in keras-team/keras version 3.12.0 allows an attacker to craft a malicious tar archive that bypasses the… 3.1 Low
Track this CVE