Deserialization of Untrusted Data Affecting ai-flow package, versions [0,]
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Test your applications- Snyk ID SNYK-PYTHON-AIFLOW-6227612
- published 5 Feb 2024
- disclosed 27 Jan 2024
- credit Unknown
Introduced: 27 Jan 2024
CVE-2024-0960 Open this link in a new tabHow to fix?
There is no fixed version for ai-flow.
Overview
ai-flow is an An open source framework that bridges big data and AI.
Affected versions of this package are vulnerable to Deserialization of Untrusted Data via the cloudpickle.loads function in the workflow_command.py file. An attacker can execute arbitrary code by crafting malicious input that is then deserialized by the application.
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.