CVE-2022-23568: Integer Overflows in TensorFlow
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 framework developed by Google. It provides a comprehensive ecosystem of tools, libraries, and 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 lead to a denial of service attack.
Vulnerability Detail
The vulnerability in TensorFlow is caused by integer overflows in the implementation of the AddManySparseToTensorsMap function. This vulnerability allows an attacker to trigger a CHECK-fail when building new TensorShape objects, resulting in an assert failure and a denial of service. By providing specially crafted input tensors with large dimensions, an attacker can exploit this vulnerability to crash the TensorFlow application. The vulnerability has been assigned the CVE identifier CVE-2022-23568 and has a CVSS score of 6.5.
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
There is no known workaround for this vulnerability. It is recommended to update to the patched versions of TensorFlow as mentioned in the 'how_to_fix' section.
Conclusion
The vulnerability in TensorFlow has been patched in versions 2.5.3, 2.6.3, and 2.7.1. Users are advised to update their TensorFlow installation to one of the patched versions to ensure the security of their machine learning applications. 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 resources for building and deploying machine learning models.
The vulnerability allows an attacker to trigger a denial of service attack by crashing the TensorFlow application.
To fix the vulnerability, update your TensorFlow installation to one of the patched versions: 2.5.3, 2.6.3, or 2.7.1.
No, there is no known workaround for this vulnerability. Updating to the patched versions is the recommended solution.
The CVSS score of this vulnerability is 6.5, indicating a moderate severity.
References
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