CVE-2026-1462
8.8
Vector
CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Exploitability: 2.8 / Impact: 5.9
Source: security@huntr.dev (Secondary)
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 (2)
Products: Keras: Keras · Redhat: Openshift Ai
Configuration B
| Vulnerable Software | Affected Versions |
|---|---|
| From 2.25 to 2.25.7 |
References (7)
Source: security@huntr.dev
Patch
Source: security@huntr.dev
ExploitThird Party Advisory
Source: 0b0ca135-0b70-47e7-9f44-1890c2a1c46c
Third Party Advisory
Source: 0b0ca135-0b70-47e7-9f44-1890c2a1c46c
Source: 0b0ca135-0b70-47e7-9f44-1890c2a1c46c
Third Party Advisory
Source: 0b0ca135-0b70-47e7-9f44-1890c2a1c46c
Issue TrackingThird Party Advisory
Source: 0b0ca135-0b70-47e7-9f44-1890c2a1c46c
Third Party Advisory
Timeline
No history available yet.