What’s Vulnerable › Vulnerabilities
CVE-2026-1462: Safe Mode Bypass in keras-team/keras
- Severity: high (CVSS 7.8 v3.1)
- Exploited in the wild: not listed in CISA KEV
- EPSS: 0.4% probability of exploitation in the next 30 days
- Public exploit or detection template: yes
- Published: 2026-04-13 · updated 2026-07-15
- Weakness: CWE-502
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.
Affected products
- keras-team/keras: 3.13.0
- Red Hat OpenShift AI 2.25: from 2.25 before 2.25.7 — fixed in 2.25.7
How to fix
Upgrade to a fixed version: Red Hat OpenShift AI 2.25 2.25.7. Check the vendor advisory for mitigations.
References
- https://github.com/keras-team/keras/commit/b6773d3decaef1b05d8e794458e148cb362f163f
- https://huntr.com/bounties/7e78d6f1-6977-4300-b595-e81bdbda331c
- 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
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