Deserialization of Untrusted Data Affecting keras package, versions [,3.11.0)
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Start learning- Snyk IDSNYK-PYTHON-KERAS-12927178
- published19 Sept 2025
- disclosed19 Sept 2025
- creditGabriele Digregorio
Introduced: 19 Sep 2025
NewCVE-2025-9906 (opens in a new tab)How to fix?
Upgrade keras to version 3.11.0 or higher.
Overview
keras is a Keras is a high-level neural networks API for Python..
Affected versions of this package are vulnerable to Deserialization of Untrusted Data via the Model.load_model method. An attacker can execute arbitrary code by providing a specially crafted .keras model archive containing a config.json file that invokes keras.config.enable_unsafe_deserialization() to disable safe mode, followed by a Lambda layer with malicious pickled code.
Details
Serialization is a process of converting an object into a sequence of bytes which can be persisted to a disk or database or can be sent through streams. The reverse process of creating object from sequence of bytes is called deserialization. Serialization is commonly used for communication (sharing objects between multiple hosts) and persistence (store the object state in a file or a database). It is an integral part of popular protocols like Remote Method Invocation (RMI), Java Management Extension (JMX), Java Messaging System (JMS), Action Message Format (AMF), Java Server Faces (JSF) ViewState, etc.
Deserialization of untrusted data (CWE-502) is when the application deserializes untrusted data without sufficiently verifying that the resulting data will be valid, thus allowing the attacker to control the state or the flow of the execution.