CVE-2021-41199: TensorFlow GPU - Integer Overflow in tf.image.resize
Summary
CVE-2021-41199: TensorFlow is an open source platform for machine learning. Affects tensorflow-gpu across 5 version ranges.
< 2.4.4
>= 2.5.0, < 2.5.2
>= 2.6.0, < 2.6.1
>= 2.7.0rc0, < 2.7.0
< e5272d4204ff5b46136a1ef1204fc00597e21837
Fixed in 4 releases; the minimum fixed version depends on the release line you run. How to fix ↓
Also tracked for
- tensorflow · Bitnami
- tensorflow · PyPI
- tensorflow · PyPI
- tensorflow-cpu · PyPI
The same CVE-2021-41199 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 open source platform for machine learning. It provides a comprehensive ecosystem of tools, libraries, and resources for developing and deploying machine learning models. TensorFlow GPU is a variant of TensorFlow that leverages GPU acceleration for faster computation. It is commonly used in deep learning applications that require high-performance computing.
Vulnerability Detail
The vulnerability (CVE-2021-41199) in TensorFlow GPU arises when the tf.image.resize function is called with a large input argument. Due to an integer overflow, the TensorFlow process crashes, triggered by a CHECK-failure. The number of elements in the output tensor exceeds the capacity of the int64_t type, leading to the overflow detection via a CHECK statement. As a result, the process is aborted. This vulnerability can be exploited by an attacker to cause a denial-of-service (DoS) condition in TensorFlow GPU deployments. The issue affects multiple versions of TensorFlow GPU, including 2.4.4, 2.5.2, 2.6.1, and 2.7.0rc0.
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.
-
< 2.4.42.4.4pip install --upgrade "tensorflow-gpu==2.4.4" -
>= 2.5.0, < 2.5.22.5.2pip install --upgrade "tensorflow-gpu==2.5.2" -
>= 2.6.0, < 2.6.12.6.1pip install --upgrade "tensorflow-gpu==2.6.1" -
>= 2.7.0rc0, < 2.7.02.7.0pip install --upgrade "tensorflow-gpu==2.7.0"
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Workaround
There is currently no known workaround for this vulnerability. It is recommended to apply the official fix by upgrading to the patched versions of TensorFlow GPU.
Conclusion
The vulnerability in TensorFlow GPU (CVE-2021-41199) can result in a denial-of-service (DoS) condition when the tf.image.resize function is called with a large input argument. Upgrading to the patched versions of TensorFlow GPU is crucial to mitigate this vulnerability. For further support and assistance in vulnerability remediation, please contact DevNack.com.
See every vulnerability recorded for tensorflow-gpu →
FAQ
TensorFlow GPU is a variant of TensorFlow that utilizes GPU acceleration for faster computation in machine learning tasks.
The vulnerability can lead to a denial-of-service (DoS) condition in TensorFlow GPU deployments, potentially disrupting machine learning workflows.
The vulnerability affects TensorFlow GPU versions 2.4.4, 2.5.2, 2.6.1, and 2.7.0rc0.
No, there is currently no known workaround for this vulnerability. It is recommended to upgrade to the patched versions of TensorFlow GPU.
To fix this vulnerability, upgrade to TensorFlow GPU version 2.7.0 or apply the backported fixes in versions 2.6.1, 2.5.2, and 2.4.4.
References
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