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.
Products: keras-team/keras, Red Hat OpenShift AI 2.25, Red Hat OpenShift AI 3.3, Red Hat OpenShift AI (RHOAI)
Fixed upstream
| Ecosystem | Package | Fixed in |
|---|---|---|
| PyPI | keras | 3.13.2 |
Distro releases
| Release | Package | Fixed in |
|---|---|---|
| Chainguard | kubeflow-pipelines-visualization-server | 0 |
| Debian 11 | keras | no fix |
| Ubuntu 18.04 LTS | keras | no fix |
| Ubuntu 20.04 LTS | keras | no fix |
| Wolfi | kubeflow-pipelines-visualization-server | 0 |