CVE-2021-37636: TensorFlow-CPU - Division by 0 Error in SparseDenseCwiseDiv
Summary
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
- tensorflow · Bitnami
- tensorflow · PyPI
- tensorflow · PyPI
- tensorflow-gpu · PyPI
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.
Check if this vulnerability affects your application
Upload a manifest or SBOM and we'll show whether you're affected, plus every other risky package in the same scan.
No signup required · Results in about 60 seconds
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, < 2.3.42.3.4pip 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 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 →
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.
References
Related vulnerabilities
Recent vulnerabilities recorded for tensorflow-cpu.