Deserialization of Untrusted Data Affecting sagemaker package, versions [,2.218.0)
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Test your applications- Snyk ID SNYK-PYTHON-SAGEMAKER-6808829
- published 5 May 2024
- disclosed 3 May 2024
- credit Kasimir123
Introduced: 3 May 2024
CVE-2024-34072 Open this link in a new tabHow to fix?
Upgrade sagemaker to version 2.218.0 or higher.
Overview
sagemaker is an Open source library for training and deploying models on Amazon SageMaker.
Affected versions of this package are vulnerable to Deserialization of Untrusted Data due to the base_deserializers.NumpyDeserializer module. An attacker can cause remote code execution, denial of service, affecting both confidentiality and integrity by passing untrusted data as pickled object arrays. This is only exploitable if pickled numpy object arrays which originated from an untrusted source, or that could have been tampered with, are passed.
Workaround
Do not pass pickled numpy object arrays that originated from an untrusted source or could have been tampered with. Only pass pickled numpy object arrays from sources you trust.
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.