CVE-2026-1462
EUVD-2026-2197013.04.2026, 15:17
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.Enginsight
Affected Products (NVD)
| Vendor | Product | Version |
|---|---|---|
| keras | keras | 3.13.0 |
| redhat | openshift_ai | 2.25 ≤ 𝑥 < 2.25.7 |
𝑥
= Vulnerable software versions
Early Detection
Affected products identified ahead of NVD analysis through intelligence sources.
| Vendor | Product | Version | Source |
|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 2.25 | 1780394782 ≤ 𝑥 < * | ADP |
| Red Hat | Red Hat OpenShift AI 3.3 | 1782471734 ≤ 𝑥 < * | ADP |
| Red Hat | Red Hat OpenShift AI 3.3 | 1782471879 ≤ 𝑥 < * | ADP |
| Red Hat | Red Hat OpenShift AI 3.3 | 1782471730 ≤ 𝑥 < * | ADP |
| Red Hat | Red Hat OpenShift AI 3.3 | 1782471835 ≤ 𝑥 < * | ADP |
Ubuntu Releases
Common Weakness Enumeration
References