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 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 v3 7.8 HIGH

7.8^/10

CVSS v3 : HIGH

Vector :

Exploitability : 1.8 / Impact : 5.9

Attack Vector LOCAL

Attack Complexity LOW

Privileges Required NONE

User Interaction REQUIRED

Confidentiality Impact HIGH

Integrity Impact HIGH

Availability Impact HIGH

Scope UNCHANGED

References

Link	Resource
https://github.com/keras-team/keras/commit/b6773d3decaef1b05d8e794458e148cb362f163f	Patch
https://huntr.com/bounties/7e78d6f1-6977-4300-b595-e81bdbda331c	Exploit Third Party Advisory
https://access.redhat.com/errata/RHSA-2026:24977	Third Party Advisory
https://access.redhat.com/errata/RHSA-2026:37275
https://access.redhat.com/security/cve/CVE-2026-1462	Third Party Advisory
https://bugzilla.redhat.com/show_bug.cgi?id=2457856	Issue Tracking Third Party Advisory
https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-1462.json	Third Party Advisory

Configurations

Configuration 1 (hide)

cpe:2.3:a:keras:keras:3.13.0:*:*:*:*:*:*:*

Configuration 2 (hide)

cpe:2.3:a:redhat:openshift_ai:*:*:*:*:*:*:*:*

History

No history.

Information

Published : 2026-04-13 15:17

Updated : 2026-07-15 02:18

NVD link : CVE-2026-1462

Mitre link : CVE-2026-1462

CVE.ORG link : CVE-2026-1462

JSON object : View

Products Affected

redhat

openshift_ai

keras

keras

CWE

CWE-502

Deserialization of Untrusted Data

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