CVE-2021-29615: TensorFlow Stack Overflow Vulnerability

tensorflow Updated 02 Oct 2025

Summary

14/05/2021
Yes i
Low
2.5

CVE-2021-29615: TensorFlow is an end-to-end open source platform for machine learning. Affects tensorflow across 5 version ranges.

< 2.1.4 >= 2.2.0, < 2.2.3 >= 2.3.0, < 2.3.3 >= 2.4.0, < 2.4.2 < e07e1c3d26492c06f078c7e5bf2d138043e199c1

Fixed in 4 releases; the minimum fixed version depends on the release line you run. How to fix ↓

Also tracked for

The same CVE-2021-29615 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 building and deploying machine learning models. TensorFlow is widely used in various industries and research domains for tasks such as image recognition, natural language processing, and recommendation systems. However, a vulnerability has been discovered in TensorFlow that can lead to a stack overflow due to recursion in the ParseAttrValue function.

Vulnerability Detail

The vulnerability in TensorFlow's ParseAttrValue function can be exploited by providing a specially crafted input. This can trigger a stack overflow due to recursive calls, potentially leading to a denial of service (DoS) condition or remote code execution. The issue affects versions 2.1.4 and above, including 2.2.3, 2.3.3, and 2.4.2. The TensorFlow team has addressed the vulnerability in the upcoming release 2.5.0 and will also provide patches for the affected versions within the supported range.

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.

  • < 2.1.4 2.1.4
    pip install --upgrade "tensorflow==2.1.4"
  • >= 2.2.0, < 2.2.3 2.2.3
    pip install --upgrade "tensorflow==2.2.3"
  • >= 2.3.0, < 2.3.3 2.3.3
    pip install --upgrade "tensorflow==2.3.3"
  • >= 2.4.0, < 2.4.2 2.4.2
    pip install --upgrade "tensorflow==2.4.2"

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

Workaround

As of now, there is no specific workaround available for this vulnerability. It is advised to apply the official patches or update to the fixed version once they are released.

Conclusion

The vulnerability in TensorFlow's ParseAttrValue function can be exploited to trigger a stack overflow. Users of affected versions should update to the fixed version or apply the provided patches once they are released. For further support and assistance in vulnerability remediation, please contact DevNack.com.

See every vulnerability recorded for tensorflow →

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FAQ

TensorFlow is an open source platform for machine learning that provides tools and resources for building and deploying machine learning models.

The vulnerability can lead to a stack overflow, potentially resulting in a denial of service (DoS) condition or remote code execution.

The vulnerability affects versions 2.1.4 and above, including 2.2.3, 2.3.3, and 2.4.2.

To fix the vulnerability, update TensorFlow to version 2.5.0 once it is released. Patches will also be provided for the affected versions within the supported range.

Currently, there is no specific workaround available. It is recommended to apply the official patches or update to the fixed version.

Related vulnerabilities

Recent vulnerabilities recorded for tensorflow.

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.

  • < 2.1.4 2.1.4
    pip install --upgrade "tensorflow==2.1.4"
  • >= 2.2.0, < 2.2.3 2.2.3
    pip install --upgrade "tensorflow==2.2.3"
  • >= 2.3.0, < 2.3.3 2.3.3
    pip install --upgrade "tensorflow==2.3.3"
  • >= 2.4.0, < 2.4.2 2.4.2
    pip install --upgrade "tensorflow==2.4.2"

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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