EUVD-2026-21970
GHSA-4f3f-g24h-fr8m
CVSS Vector
CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Lifecycle Timeline
1Description
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.
Analysis
Remote code execution in Keras 3.13.0 allows unauthenticated attackers to execute arbitrary code by crafting malicious .keras model files that load attacker-controlled TensorFlow SavedModels during deserialization, bypassing safe_mode protections. Exploitation requires user interaction (victim must load the malicious model), but no authentication is required to deliver the payload. …
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Remediation
Within 24 hours: Inventory all systems running Keras 3.13.0 and identify users who load external .keras model files. Within 7 days: Implement policy restricting model loading to trusted internal sources only and disable automatic model downloads if enabled. …
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