Deserialization of Untrusted Data Affecting autoprognosis package, versions [0,]
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Test your applications- Snyk ID SNYK-PYTHON-AUTOPROGNOSIS-6276608
- published 26 Feb 2024
- disclosed 22 Feb 2024
- credit bayuncao
Introduced: 22 Feb 2024
CVE-2024-1748 Open this link in a new tabHow to fix?
There is no fixed version for autoprognosis.
Overview
autoprognosis is an A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
Affected versions of this package are vulnerable to Deserialization of Untrusted Data due to the load_model_from_file function. An attacker can execute unauthorized code or commands by submitting crafted input that leads to deserialization of untrusted data.
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.