Deserialization of Untrusted Data Affecting inference package, versions [,0.14.0)
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Test your applications- Snyk ID SNYK-PYTHON-INFERENCE-7660934
- published 9 Aug 2024
- disclosed 1 Aug 2024
- credit Unknown
How to fix?
Upgrade inference to version 0.14.0 or higher.
Overview
inference is a With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.
Affected versions of this package are vulnerable to Deserialization of Untrusted Data due to the use of pickle in handling numpy objects.
Workaround
This vulnerability can be avoided by setting ALLOW_NUMPY_INPUT to False.
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.