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CVE-2026-1462

Fixed in a distro release EPSS <1%CVSS 8.8

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.

Published 2026-04-13 · CVE record · OSV

Products: keras-team/keras, Red Hat OpenShift AI 2.25, Red Hat OpenShift AI 3.3, Red Hat OpenShift AI (RHOAI)

Fixed upstream

EcosystemPackageFixed in
PyPIkeras3.13.2

Distro releases

ReleasePackageFixed in
Chainguardkubeflow-pipelines-visualization-server0
Debian 11kerasno fix
Ubuntu 18.04 LTSkerasno fix
Ubuntu 20.04 LTSkerasno fix
Wolfikubeflow-pipelines-visualization-server0