Deserialization of Untrusted Data Affecting transformers package, versions [0,]


Severity

Recommended
0.0
low
0
10

CVSS assessment made by Snyk's Security Team. Learn more

Threat Intelligence

EPSS
0.04% (11th percentile)

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  • Snyk IDSNYK-PYTHON-TRANSFORMERS-8400823
  • published24 Nov 2024
  • disclosed23 Nov 2024
  • creditThe_Kernel_Panic

Introduced: 23 Nov 2024

NewCVE-2024-11393  (opens in a new tab)
CWE-502  (opens in a new tab)

How to fix?

There is no fixed version for transformers.

Overview

transformers is a State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

Affected versions of this package are vulnerable to Deserialization of Untrusted Data through the parsing of model files, due to the lack of proper validation of user-supplied data. This is only exploitable if the target visits a malicious page or opens a malicious MaskFormer model file.

Note: The maintainers of this package are not addressing this vulnerability as it is limited to accessory conversion scripts and does not impact core library functions. The need for the attacker to provide a malicious model file which is then converted using the relevant script is considered an unrealistic attack vector. Since mitigation would require the complete removal of these scripts, the issue is not expected to be fixed.

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.

CVSS Scores

version 4.0
version 3.1