Vulnerability 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.
CVSS Score
HIGH
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Keras | Keras | 3.13.0 |
| Redhat | Openshift Ai | >= 2.25, < 2.25.7 |
Related Weaknesses (CWE)
References
- https://github.com/keras-team/keras/commit/b6773d3decaef1b05d8e794458e148cb362f1Patch
- https://huntr.com/bounties/7e78d6f1-6977-4300-b595-e81bdbda331cExploitThird Party Advisory
- https://access.redhat.com/errata/RHSA-2026:24977Third Party Advisory
- https://access.redhat.com/errata/RHSA-2026:37275
- https://access.redhat.com/security/cve/CVE-2026-1462Third Party Advisory
- https://bugzilla.redhat.com/show_bug.cgi?id=2457856Issue TrackingThird Party Advisory
- https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-1462.jsonThird Party Advisory
FAQ
What is CVE-2026-1462?
CVE-2026-1462 is a vulnerability with a CVSS score of 7.8 (HIGH). 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 `sa...
How severe is CVE-2026-1462?
CVE-2026-1462 has been rated HIGH with a CVSS base score of 7.8/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2026-1462?
Check the references section above for vendor advisories and patch information. Affected products include: Keras Keras, Redhat Openshift Ai.