CVE-2019-6446: Unsafe Usage of Pickle Module in NumPy

numpy Updated 02 Oct 2025

Summary

24/05/2022

Disclosed on

CVE-2019-6446

CVE

No i

Fix available

Critical

Severity

9.8

CVSS Score

CVE-2019-6446: Numpy Deserialization of Untrusted Data. Affects numpy versions < 1.16.0. No fix is published. How to fix ↓

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Background

NumPy is a popular Python package used for numerical computing. It provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays. NumPy is widely used in scientific and data analysis applications.

Vulnerability Detail

The vulnerability (CVE-2019-6446) exists in NumPy versions 1.16.0 and earlier. It arises from the unsafe usage of the pickle Python module. Attackers can exploit this vulnerability by crafting a serialized object and passing it to the numpy.load function. This can lead to the execution of arbitrary code on the target system. It is important to note that there is a dispute regarding the severity of this issue, as it may have legitimate applications when loading serialized Python object arrays from trusted and authenticated sources.

How To Fix

No fixed version is published for this vulnerability.

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Workaround

There is no specific workaround mentioned for this vulnerability.

Conclusion

The vulnerability (CVE-2019-6446) in NumPy arises from the unsafe usage of the pickle module, allowing remote code execution. It is recommended to upgrade to NumPy version 1.16.1 or later to fix this vulnerability. For further support on vulnerability remediation, you can contact DevNack.com.

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