high7.8
CVE-2026-1462
A vulnerability in the `TFSMLayer` class of the `keras` package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserial…
Impact
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 packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| pip | keras | < 3.13.2 | 3.13.2 |
Affected products
| Vendor | Product | Affected versions |
|---|---|---|
| Keras | Keras | Version 3.13.0 |
| Redhat | Openshift Ai | from 2.25 before 2.25.7 |
Weakness classification
References
- NVD record
- CVE.org record
- GitHub advisory
- https://github.com/advisories/GHSA-4f3f-g24h-fr8m
- https://nvd.nist.gov/vuln/detail/CVE-2026-1462
- https://github.com/keras-team/keras/commit/b6773d3decaef1b05d8e794458e148cb362f163f
- https://huntr.com/bounties/7e78d6f1-6977-4300-b595-e81bdbda331c
- https://github.com/keras-team/keras/pull/22035
- https://access.redhat.com/errata/RHSA-2026:24977
- https://access.redhat.com/errata/RHSA-2026:37275
- https://access.redhat.com/security/cve/CVE-2026-1462
- https://bugzilla.redhat.com/show_bug.cgi?id=2457856
- https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-1462.json