Deserialization of Untrusted Data Affecting keras package, versions [,3.12.0)
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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- published30 Oct 2025
- disclosed29 Oct 2025
- creditJayashwa Singh Chauhan
Introduced: 29 Oct 2025
NewCVE-2025-12058 (opens in a new tab)How to fix?
Upgrade keras to version 3.12.0 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 .keras archives when they are initialized with a path to a vocabulary file. The model deserialization process when loading the archives abuses the StringLookup layer's vocabulary argument. An attacker can access arbitrary local files or trigger server-side requests to arbitrary network endpoints by supplying malicious file paths or URLs in the model configuration. This is possible even when safe_mode is set to True.
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.