CVE-2021-37680: TensorFlow-CPU - Division by Zero Vulnerability
Summary
CVE-2021-37680: 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
< 718721986aa137691ee23f03638867151f74935f
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-2021-37680 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 for building and deploying machine learning models. TensorFlow-CPU is a Python package that allows users to run TensorFlow on CPUs. It is widely used in various industries for developing machine learning applications.
Vulnerability Detail
The vulnerability (CVE-2021-37680) exists in the implementation of fully connected layers in TFLite, a component of TensorFlow. The issue arises due to a division by zero error in the code. An attacker can exploit this vulnerability by providing malicious input, leading to a division by zero and potentially causing a denial of service or other unexpected behavior. The vulnerability affects versions 2.3.0 to 2.3.4, 2.4.0 to 2.4.3, and 2.5.1 of 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, < 2.3.42.3.4pip 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 mentioned for this vulnerability.
Conclusion
The division by zero vulnerability in TensorFlow-CPU can be mitigated by updating to the latest version or applying the provided patch. It is important to keep your software up to date to ensure the security and stability of your machine learning applications. For further support on vulnerability remediation, you can reach out to DevNack.com.
See every vulnerability recorded for tensorflow-cpu →
FAQ
TensorFlow is an open source platform for machine learning that provides a comprehensive ecosystem for building and deploying machine learning models.
TensorFlow-CPU is a Python package that allows users to run TensorFlow on CPUs. It is widely used in various industries for developing machine learning applications.
The vulnerability can be exploited by an attacker to cause a division by zero error, potentially leading to a denial of service or other unexpected behavior.
Versions 2.3.0 to 2.3.4, 2.4.0 to 2.4.3, and 2.5.1 of TensorFlow-CPU are affected.
To fix the vulnerability, update TensorFlow-CPU to version 2.6.0. Alternatively, you can apply the patch by cherry-picking the commit 718721986aa137691ee23f03638867151f74935f on TensorFlow 2.5.1, TensorFlow 2.4.3, or TensorFlow 2.3.4.
References
Related vulnerabilities
Recent vulnerabilities recorded for tensorflow-cpu.
