CVE-2021-41199: Overflow/crash in tf.image.resize when size is large
Summary
CVE-2021-41199: Overflow/crash in tf.image.resize when size is large. Affects tensorflow across 3 version ranges.
< 2.4.4
>= 2.5.0, < 2.5.2
>= 2.6.0, < 2.6.1
Fixed in 2.4.4, 2.5.2 or 2.6.1, depending on the release line you run. How to fix ↓
Also tracked for
- tensorflow · Bitnami
- tensorflow-cpu · PyPI
- tensorflow-gpu · 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
The TensorFlow package is an open-source machine learning framework developed by Google. It provides a comprehensive set of tools and libraries for building and deploying machine learning models. The tf.image.resize function is a part of TensorFlow's image processing module and is used to resize images. This vulnerability affects versions 2.4.4 to 2.6.0 of the TensorFlow package.
Vulnerability Detail
The vulnerability arises when the tf.image.resize function is called with a large input argument. This causes an overflow in the number of elements in the output tensor, leading to a CHECK-failure and subsequent process crash. The issue has a CVSS score of 5.5, indicating a moderate severity level. An attacker could potentially exploit this vulnerability to crash TensorFlow processes, causing denial of service.
How To Fix
Latest published version: 2.21.0 as of 22 Oct 2026
pip install --upgrade "tensorflow==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.
-
< 2.4.42.4.4pip install --upgrade "tensorflow==2.4.4" -
>= 2.5.0, < 2.5.22.5.2pip install --upgrade "tensorflow==2.5.2" -
>= 2.6.0, < 2.6.12.6.1pip install --upgrade "tensorflow==2.6.1"
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Workaround
A workaround for this vulnerability is to avoid calling the tf.image.resize function with large input arguments. Instead, users can resize images in smaller batches or use alternative image resizing methods available in TensorFlow.
Conclusion
The overflow/crash vulnerability in tf.image.resize in TensorFlow has been addressed in the latest patched versions. Users are advised to update their TensorFlow packages to the fixed versions to mitigate the risk of process crashes. For further support on vulnerability remediation, please contact DevNack.com.
See every vulnerability recorded for tensorflow →
FAQ
TensorFlow is an open-source machine learning framework developed by Google. It provides tools and libraries for building and deploying machine learning models.
tf.image.resize is a function in TensorFlow's image processing module used to resize images.
Versions 2.4.4 to 2.6.0 of the TensorFlow package are affected.
Calling tf.image.resize with a large input argument can cause a CHECK-failure and crash the TensorFlow process, leading to denial of service.
To fix this vulnerability, update your TensorFlow package to the patched versions: 2.6.1, 2.5.2, or 2.4.4.
References
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