Vulnerability in TensorFlow: CHECK Failure in Depthwise Ops via Overflows

tensorflow Updated 02 Oct 2025

Summary

25/05/2022
MODERATE
Yes i
Moderate
Not published

GHSA-mw6j-hh29-h379: CHECK failure in depthwise ops via overflows. Affects tensorflow across 3 version ranges.

< 2.6.4 >= 2.7.0, < 2.7.2 >= 2.8.0, < 2.8.1

Fixed in 2.6.4, 2.7.2 or 2.8.1, depending on the release line you run. How to fix ↓

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Background

TensorFlow is an open-source machine learning framework developed by Google. It provides a comprehensive ecosystem of tools, libraries, and resources for building and deploying machine learning models. TensorFlow is widely used in various domains, including research, industry, and academia. However, a vulnerability has been discovered in the implementation of depthwise ops in TensorFlow, which can lead to a denial of service attack.

Vulnerability Detail

The vulnerability in TensorFlow is caused by a CHECK failure (assertion failure) in depthwise ops due to overflows. By overflowing the number of elements in a tensor, an attacker can trigger a denial of service attack. This vulnerability is another instance of TFSA-2021-198 (CVE-2021-41197). The impact of this vulnerability can be severe, as it can disrupt the availability of TensorFlow-based systems and potentially lead to further exploitation.

How To Fix

Latest published version: 2.21.0 as of 22 Oct 2026

pip install --upgrade "tensorflow==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.

  • < 2.6.4 2.6.4
    pip install --upgrade "tensorflow==2.6.4"
  • >= 2.7.0, < 2.7.2 2.7.2
    pip install --upgrade "tensorflow==2.7.2"
  • >= 2.8.0, < 2.8.1 2.8.1
    pip install --upgrade "tensorflow==2.8.1"

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 known workaround for this vulnerability. It is recommended to apply the patches provided by the TensorFlow team as soon as possible.

Conclusion

The vulnerability in TensorFlow's depthwise ops can lead to a denial of service attack. It is crucial for users to update their TensorFlow installation to the latest patched version to mitigate the risk. For further support on vulnerability remediation, please contact DevNack.com.

See every vulnerability recorded for tensorflow →

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FAQ

TensorFlow is an open-source machine learning framework developed by Google. It provides tools and resources for building and deploying machine learning models.

The vulnerability can lead to a denial of service attack, potentially disrupting the availability of TensorFlow-based systems.

To fix the vulnerability, update your TensorFlow installation to the latest patched version.

There is no known workaround for this vulnerability. It is recommended to apply the patches provided by the TensorFlow team.

For more information, please refer to the TensorFlow security guide and the GitHub advisory.

Related vulnerabilities

Recent vulnerabilities recorded for tensorflow.

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How To Fix

Latest published version: 2.21.0 as of 22 Oct 2026

pip install --upgrade "tensorflow==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.

  • < 2.6.4 2.6.4
    pip install --upgrade "tensorflow==2.6.4"
  • >= 2.7.0, < 2.7.2 2.7.2
    pip install --upgrade "tensorflow==2.7.2"
  • >= 2.8.0, < 2.8.1 2.8.1
    pip install --upgrade "tensorflow==2.8.1"

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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