CVE-2022-23568: TensorFlow Integer Overflow Vulnerability
Summary
CVE-2022-23568: Integer overflows 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-2022-23568 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 library developed by Google, widely used for building and training machine learning models. It provides a flexible ecosystem of tools, libraries, and community resources that allows researchers and developers to create and deploy machine learning applications. However, TensorFlow has been found to have an integer overflow vulnerability in its implementation of sparse tensor operations, which can lead to denial of service attacks.
Vulnerability Detail
The vulnerability arises from the implementation of the AddManySparseToTensorsMap function in TensorFlow, which lacks proper validation for input tensor shapes. This oversight allows an attacker to trigger an integer overflow when constructing large TensorShape objects, resulting in a CHECK-fail (assert failure). This can be exploited to cause a denial of service by crashing the application. The vulnerability is particularly concerning as it can be triggered with user-provided dimensions, making it a potential target for malicious actors.
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"
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Workaround
Currently, there are no specific workarounds mentioned for this vulnerability. The best course of action is to update to the patched versions of TensorFlow as soon as possible.
Conclusion
CVE-2022-23568 is a significant vulnerability in TensorFlow that can lead to denial of service due to integer overflow issues. Users are strongly advised to update to the latest patched versions to ensure their applications remain secure.
See every vulnerability recorded for tensorflow →
FAQ
CVE-2022-23568 is a vulnerability in TensorFlow that allows for integer overflow during the construction of TensorShape objects, leading to potential denial of service.
You can use the Vulert playground at Vulert Scanner to check if your application is affected by this vulnerability without needing to sign up.
The affected versions include TensorFlow prior to 2.5.3, 2.6.3, and 2.7.1.
While there are no specific workarounds, it is crucial to prioritize updating TensorFlow to a patched version to mitigate the risk of exploitation.
The CVSS score of CVE-2022-23568 is 6.5, indicating a moderate severity level.
References
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