CVE-2021-37636: TensorFlow-CPU - Division by 0 Error in SparseDenseCwiseDiv

tensorflow-cpu Updated 02 Oct 2025

Summary

12/08/2021
Yes i
Unrated
Not published

CVE-2021-37636: TensorFlow is an end-to-end open source platform for machine learning. Affects tensorflow-cpu across 3 version ranges.

>= 2.3.0, < 2.3.4 >= 2.4.0, < 2.4.3 < d9204be9f49520cdaaeb2541d1dc5187b23f31d9

Fixed in 2.3.4 or 2.4.3, depending on the release line you run. How to fix ↓

Also tracked for

The same CVE-2021-37636 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 end-to-end open source platform for machine learning. It provides a comprehensive ecosystem of tools, libraries, and resources for developing and deploying machine learning models. TensorFlow-CPU is a specific package that focuses on running TensorFlow on CPUs. It is widely used in various applications and industries for machine learning tasks.

Vulnerability Detail

The vulnerability identified as CVE-2021-37636 affects the implementation of tf.raw_ops.SparseDenseCwiseDiv in TensorFlow-CPU. This implementation is prone to a division by 0 error. The issue arises from the fact that the common class used for all binary operations fails to handle the division by 0 case separately. As a result, when encountering a division by 0 scenario, the operation may produce incorrect results or crash, potentially leading to further issues or vulnerabilities in the machine learning process.

How To Fix

Latest published version: 2.21.0 as of 22 Oct 2026

pip install --upgrade "tensorflow-cpu==2.21.0"

Upgrading to it may include breaking changes; the versions below are the minimum fixed release for this vulnerability.

If you can't move to the latest

The minimum fixed version depends on the release line you run.

  • >= 2.3.0, < 2.3.4 2.3.4
    pip install --upgrade "tensorflow-cpu==2.3.4"
  • >= 2.4.0, < 2.4.3 2.4.3
    pip install --upgrade "tensorflow-cpu==2.4.3"

Tip — Not sure which release line you're on? Vulert can find the fix for the version you are using. Scan free →

Workaround

There is no specific workaround provided for this vulnerability. Users are advised to update to the patched versions of TensorFlow-CPU as soon as they are released.

Conclusion

The vulnerability in TensorFlow-CPU (CVE-2021-37636) has been identified and addressed. Users are advised to update their installations to the patched versions once they become available. For further support and assistance with vulnerability remediation, please contact DevNack.com.

See every vulnerability recorded for tensorflow-cpu →

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FAQ

TensorFlow is an open source platform for machine learning that provides a comprehensive set of tools and resources for developing and deploying machine learning models.

TensorFlow-CPU is a specific package that focuses on running TensorFlow on CPUs. It is widely used in various applications and industries for machine learning tasks.

The vulnerability can result in a division by 0 error in the tf.raw_ops.SparseDenseCwiseDiv operation. This can lead to incorrect results or crashes, potentially affecting the accuracy and reliability of machine learning models.

To fix the vulnerability, users should update their TensorFlow-CPU installation to one of the patched versions (2.6.0, 2.5.1, 2.4.3, or 2.3.4) once they are released.

No specific workaround has been provided for this vulnerability. It is recommended to update to the patched versions of TensorFlow-CPU.

Related vulnerabilities

Recent vulnerabilities recorded for tensorflow-cpu.

How To Fix

Latest published version: 2.21.0 as of 22 Oct 2026

pip install --upgrade "tensorflow-cpu==2.21.0"

Upgrading to it may include breaking changes; the versions below are the minimum fixed release for this vulnerability.

If you can't move to the latest

The minimum fixed version depends on the release line you run.

  • >= 2.3.0, < 2.3.4 2.3.4
    pip install --upgrade "tensorflow-cpu==2.3.4"
  • >= 2.4.0, < 2.4.3 2.4.3
    pip install --upgrade "tensorflow-cpu==2.4.3"

Tip — Not sure which release line you're on? Vulert can find the fix for the version you are using. Scan free →

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