CVE-2021-37669: Denial of Service in TensorFlow-gpu
Summary
CVE-2021-37669: TensorFlow is an end-to-end open source platform for machine learning. Affects tensorflow-gpu across 4 version ranges.
>= 2.3.0, < 2.3.4
>= 2.4.0, < 2.4.3
< 3a7362750d5c372420aa8f0caf7bf5b5c3d0f52d
< b5cdbf12ffcaaffecf98f22a6be5a64bb96e4f58
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-cpu · PyPI
The same CVE-2021-37669 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-gpu is an open-source platform for machine learning. It provides an end-to-end solution for training and deploying machine learning models. TensorFlow-gpu is a Python package that leverages the power of GPU for accelerated computation. It is widely used in various industries for developing and deploying machine learning applications.
Vulnerability Detail
The vulnerability identified as CVE-2021-37669 affects TensorFlow-gpu versions 2.3.0 to 2.4.3 and 2.5.1. It can be exploited by an attacker to cause a denial of service (DoS) in applications serving models using the tf.raw_ops.NonMaxSuppressionV5 function. The vulnerability arises from a division by zero triggered by a user-controlled argument. The implementation of tf.raw_ops.NonMaxSuppressionV5 in the TensorFlow-gpu codebase uses a user-supplied value to resize a std::vector. However, due to a type mismatch, a negative value provided by an attacker can lead to an implicit conversion resulting in a crash. A similar issue exists in the CombinedNonMaxSuppression function. The impact of this vulnerability can disrupt the availability of applications serving machine learning models and potentially impact the overall system stability.
How To Fix
Latest published version: 2.12.0 as of 22 Oct 2026
pip install --upgrade "tensorflow-gpu==2.12.0"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-gpu==2.3.4" -
>= 2.4.0, < 2.4.32.4.3pip install --upgrade "tensorflow-gpu==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 their TensorFlow-gpu installations to the patched versions as soon as they become available.
Conclusion
The vulnerability CVE-2021-37669 in TensorFlow-gpu can lead to a denial of service in applications serving machine learning models. It is crucial for users to update their TensorFlow-gpu installations to the patched versions as soon as they become available. For further support and assistance in vulnerability remediation, please contact DevNack.com.
See every vulnerability recorded for tensorflow-gpu →
FAQ
TensorFlow-gpu is an open-source platform for machine learning that leverages GPU acceleration for faster computation.
The vulnerability can cause a denial of service in applications serving machine learning models using certain TensorFlow-gpu functions.
Versions 2.3.0 to 2.4.3 and 2.5.1 of TensorFlow-gpu are affected by this vulnerability.
To fix the vulnerability, update your TensorFlow-gpu installation to the latest patched version once it becomes available.
No specific workarounds are provided for this vulnerability. Updating to the patched version is the recommended solution.
References
Related vulnerabilities
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