CVE-2022-23575: Integer Overflow in TensorFlow
Summary
CVE-2022-23575: Integer overflow in Tensorflow. Affects tensorflow across 3 version ranges.
< 2.5.3
>= 2.6.0, < 2.6.3
>= 2.7.0, < 2.7.1
Fixed in 2.5.3, 2.6.3 or 2.7.1, depending on the release line you run. How to fix ↓
Also tracked for
- tensorflow · Bitnami
- tensorflow-gpu · PyPI
- tensorflow-cpu · PyPI
The same CVE-2022-23575 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 machine learning framework developed by Google. It provides a comprehensive ecosystem of tools, libraries, and community resources for building and deploying machine learning models. TensorFlow is widely used in various domains, including research, industry, and academia. However, a vulnerability has been discovered in TensorFlow that could potentially allow an attacker to trigger an integer overflow.
Vulnerability Detail
The vulnerability in TensorFlow resides in the implementation of the OpLevelCostEstimator::CalculateTensorSize function. This function is responsible for calculating the size of a tensor, which is a fundamental data structure in TensorFlow. The vulnerability arises when an operation involving a tensor with a large number of elements is created. In such cases, the count and size variables used in the calculation can become large enough to cause an integer overflow. This could lead to unexpected behavior or crashes in the affected TensorFlow application.
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.
-
< 2.5.32.5.3pip install --upgrade "tensorflow==2.5.3" -
>= 2.6.0, < 2.6.32.6.3pip install --upgrade "tensorflow==2.6.3" -
>= 2.7.0, < 2.7.12.7.1pip install --upgrade "tensorflow==2.7.1"
Tip — Not sure which release line you're on? Vulert can find the fix for the version you are using. Scan free →
Workaround
No specific workaround has been provided for this vulnerability. The recommended course of action is to apply the patch or update to the fixed versions of TensorFlow as mentioned in the 'how_to_fix' section.
Conclusion
The vulnerability in TensorFlow could allow an attacker to trigger an integer overflow, potentially leading to unexpected behavior or crashes. It is important to update affected TensorFlow installations to the patched versions once they become available. 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.
The vulnerability could allow an attacker to trigger an integer overflow, potentially leading to unexpected behavior or crashes in TensorFlow applications.
The vulnerability affects TensorFlow versions 2.5.3, 2.6.3, 2.7.1, and prior. The fix will be included in TensorFlow 2.8.0.
To fix this vulnerability, update your TensorFlow installation to the patched versions mentioned in the 'how_to_fix' section.
No specific workaround has been provided. Applying the patch or updating to the fixed versions is the recommended solution.
References
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