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The CVE-2025-XXXXX vulnerability in Keras stems from an insecure deserialization process within the `Model.load_model` method. A malicious actor can create a specially crafted `.keras` archive containing a `config.json` file. This file exploits the method’s loading order to first call keras.config.enable_unsafe_deserialization(), which programmatically disables the intended `safe_mode=True` security control. Once safe mode is disabled, the loader processes subsequent layers in the archive without restriction. An attacker can then include a Lambda layer containing serialized (pickled) arbitrary Python code. During the model loading procedure, this malicious payload is unpickled and executed, leading to a complete compromise of the system and allowing for arbitrary code execution on the target machine.
Platform: Keras
Version: <=2.17.0
Vulnerability: Arbitrary Code Execution
Severity: Critical
date: 2025-09-19
Prediction: Patch by 2025-10-10
What Undercode Say:
python3 -c "import keras; print(keras.<strong>version</strong>)"
Proof-of-Concept config.json snippet
{"config": {"name": "malicious_layer", "config": {"function": "keras.config.enable_unsafe_deserialization"}}}
How Exploit:
Craft malicious .keras archive.
Trick user into loading it.
Bypass safe_mode via config.
Execute pickled code.
Protection from this CVE
Update Keras version.
Avoid untrusted models.
Validate archive contents.
Impact:
Remote Code Execution
System Compromise
Complete Loss of Integrity
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Sources:
Reported By: github.com
Extra Source Hub:
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