CVE-2023-25665: TensorFlow - Null Pointer Error in SparseSparseMaximum

tensorflow Updated 02 Oct 2025

Summary

06/03/2024

Disclosed on

CVE-2023-25665

CVE

Yes i

Fix available

High

Severity

Not published

CVSS Score

CVE-2023-25665: TensorFlow has Null Pointer Error in SparseSparseMaximum. Affects tensorflow versions < 2.12.0. Fixed in 2.12.0. How to fix ↓

Also tracked for

tensorflow · PyPI
tensorflow-cpu · PyPI
tensorflow-gpu · PyPI
tensorflow · PyPI

The same CVE-2023-25665 is tracked separately for each ecosystem and vendor. Its fix information is the same; the package and affected versions differ.

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Background

TensorFlow is an open source platform for machine learning. It provides a comprehensive ecosystem of tools, libraries, and resources for developing and deploying machine learning models. TensorFlow is widely used in various domains, including research, industry, and academia. However, prior to versions 2.12.0 and 2.11.1, TensorFlow is vulnerable to a null pointer error in the SparseSparseMaximum function when given invalid sparse tensors as inputs.

Vulnerability Detail

The vulnerability in TensorFlow arises when the SparseSparseMaximum function is provided with invalid sparse tensors as inputs. This can lead to a null pointer error, potentially causing the application to crash or behave unexpectedly. The null pointer error occurs due to insufficient input validation, allowing the function to operate on invalid data. The impact of this vulnerability can vary depending on the context in which TensorFlow is used. In certain scenarios, an attacker may be able to exploit this vulnerability to execute arbitrary code or cause a denial-of-service condition.

How To Fix

Minimum fixed version

2.12.0

This is the first release that contains the fix.

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Workaround

There is no specific workaround available for this vulnerability. It is advised to update TensorFlow to the fixed versions mentioned above.

Conclusion

In conclusion, TensorFlow versions prior to 2.12.0 and 2.11.1 are vulnerable to a null pointer error in the SparseSparseMaximum function. This vulnerability can have various impacts, including application crashes and potential code execution by attackers. To mitigate this vulnerability, it is crucial to update TensorFlow to the fixed versions. For further assistance or support in vulnerability remediation, please contact DevNack.com.

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FAQ

What is TensorFlow?

TensorFlow is an open source platform for machine learning, widely used for developing and deploying machine learning models.

What is the impact of this vulnerability?

The vulnerability can lead to a null pointer error in TensorFlow, potentially causing the application to crash or behave unexpectedly. In certain scenarios, it may be possible for an attacker to exploit this vulnerability to execute arbitrary code or cause a denial-of-service condition.