Deserialization of Untrusted Data Affecting monai package, versions [0,]
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
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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Start learning- Snyk IDSNYK-PYTHON-MONAI-12670800
- published14 Sept 2025
- disclosed9 Sept 2025
- credith3rrr
Introduced: 9 Sep 2025
NewCVE-2025-58756 (opens in a new tab)How to fix?
There is no fixed version for monai.
Overview
monai is an AI Toolkit for Healthcare Imaging
Affected versions of this package are vulnerable to Deserialization of Untrusted Data via the load function in the bundle/scripts.py file, which uses torch.load with weights_only=True parameter. An attacker can execute arbitrary commands by providing a malicious checkpoint file that is deserialized during model loading.
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.