Deserialization of Untrusted Data Affecting keras package, versions [,3.9.0)
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- published11 Mar 2025
- disclosed11 Mar 2025
- creditPeng Zhou
Introduced: 11 Mar 2025
NewCVE-2025-1550 (opens in a new tab)How to fix?
Upgrade keras to version 3.9.0 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 in the load_model() function, which uses pickle for serialization. An attacker can execute code even if safe_mode is set to True, by supplying a malicious .keras file. The included config.json can be manipulated to point to and load npz model files containing executable 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.