CVE-2021-37660: TensorFlow-CPU Division by Zero Vulnerability
Summary
CVE-2021-37660: 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
< e86605c0a336c088b638da02135ea6f9f6753618
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-2021-37660 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-CPU is a specific package that focuses on running TensorFlow on CPUs. It is widely used in various industries and research fields for machine learning tasks.
Vulnerability Detail
The vulnerability (CVE-2021-37660) in TensorFlow-CPU allows an attacker to trigger a floating point exception by exploiting a logic error in the implementation of inplace operations. By providing crafted arguments, an attacker can cause a division by zero, leading to a crash or potential denial of service. The issue arises from a mistake in the code's conditional statement, where it should skip processing if both x and v are empty, but instead uses the logical OR (||) operator instead of the logical AND (&&) operator. This vulnerability affects versions 2.3.0 to 2.3.4, 2.4.0 to 2.4.3, and 2.5.0 to 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 known workaround for this vulnerability. Upgrading to the patched version is the recommended solution.
Conclusion
The vulnerability (CVE-2021-37660) in TensorFlow-CPU allows an attacker to trigger a floating point exception by exploiting a logic error in inplace operations. Upgrading to the latest patched version (2.6.0) is the recommended solution. For further support on 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 industries and research fields for machine learning tasks.
This vulnerability allows an attacker to trigger a floating point exception by exploiting a logic error in the implementation of inplace operations. It can lead to a crash or potential denial of service.
Versions 2.3.0 to 2.3.4, 2.4.0 to 2.4.3, and 2.5.0 to 2.5.1 of TensorFlow-CPU are affected by this vulnerability.
To fix this vulnerability, it is recommended to upgrade to the latest patched version of TensorFlow-CPU (version 2.6.0).
References
Related vulnerabilities
Recent vulnerabilities recorded for tensorflow-cpu.
