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.
References (7)
Core 7
Core References
Vendor Advisory
https://access.redhat.com/errata/RHSA-2026:24977
Vendor Advisory
https://access.redhat.com/security/cve/CVE-2026-1462
Vendor Advisory
https://bugzilla.redhat.com/show_bug.cgi?id=2457856
Vendor Advisory
https://access.redhat.com/errata/RHSA-2026:37275
Scores
CVSS v3
7.8
EPSS
0.0040
EPSS Percentile
33.3%
Attack Vector
LOCAL
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
CISA SSVC
Vulnrichment
Exploitation
poc
Automatable
no
Technical Impact
total
Details
CWE
CWE-502
Status
published
Products (4)
keras/keras
3.13.0
keras-team/keras-team/keras
unspecified - 3.13.2
pypi/keras
0 - 3.13.2PyPI
redhat/openshift_ai
2.25 - 2.25.7
Published
Apr 13, 2026
Tracked Since
Apr 13, 2026