CVE-2021-37675: TensorFlow Division by 0 Vulnerability
Summary
CVE-2021-37675: 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
< 8a793b5d7f59e37ac7f3cd0954a750a2fe76bad4
Fixed in 2.3.4 or 2.4.3, depending on the release line you run. How to fix ↓
Also tracked for
- tensorflow · Bitnami
- tensorflow · PyPI
- tensorflow · PyPI
- tensorflow-gpu · PyPI
The same CVE-2021-37675 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 is widely used in various industries and research domains for tasks such as image recognition, natural language processing, and recommendation systems. However, certain versions of TensorFlow are susceptible to a division by 0 vulnerability, which can be exploited to trigger a denial of service attack.
Vulnerability Detail
The division by 0 vulnerability in TensorFlow affects most implementations of convolution operators. The issue arises due to missing validations in the shape inference implementation, specifically before performing divisions and modulo operations. An attacker can exploit this vulnerability to cause a crash, leading to a denial of service condition. The vulnerability has the potential to disrupt TensorFlow-based applications and services, impacting availability and potentially leading to financial losses or other adverse consequences.
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, < 2.3.42.3.4pip install --upgrade "tensorflow-cpu==2.3.4" -
>= 2.4.0, < 2.4.32.4.3pip 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 available for this vulnerability. It is recommended to apply the provided fix by updating TensorFlow to the patched versions.
Conclusion
The division by 0 vulnerability in TensorFlow can be exploited to trigger a denial of service attack. It is crucial for users of TensorFlow to update their installations to the latest patched versions or the backported fixes to ensure the security and stability of their applications. For further support and assistance in vulnerability remediation, please contact DevNack.com.
See every vulnerability recorded for tensorflow-cpu →
FAQ
TensorFlow is an open source platform for machine learning that provides tools and resources for developing and deploying machine learning models.
The vulnerability allows an attacker to trigger a denial of service condition by exploiting a division by 0 issue in TensorFlow. This can lead to crashes and disrupt TensorFlow-based applications and services.
To fix this vulnerability, update your TensorFlow installation to the latest patched version (2.6.0). If you are using older versions, you can also upgrade to TensorFlow 2.5.1, TensorFlow 2.4.3, or TensorFlow 2.3.4, which have the fix backported.
No, there is no specific workaround available for this vulnerability. It is recommended to update TensorFlow to the patched versions.
You can find more information about this vulnerability in the official TensorFlow advisory and the associated GitHub commit.
References
Related vulnerabilities
Recent vulnerabilities recorded for tensorflow-cpu.
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