CVE-2022-23568: Integer Overflow Vulnerability in TensorFlow
Summary
CVE-2022-23568: Tensorflow is an Open Source Machine Learning Framework. Affects tensorflow-cpu across 4 version ranges.
< 2.5.3
>= 2.6.0, < 2.6.3
< a68f68061e263a88321c104a6c911fe5598050a8
< b51b82fe65ebace4475e3c54eb089c18a4403f1c
Fixed in 2.5.3 or 2.6.3, depending on the release line you run. How to fix ↓
Also tracked for
- tensorflow · PyPI
- tensorflow · Bitnami
- tensorflow · PyPI
- tensorflow-gpu · 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 widely used for developing and training machine learning models. It provides a comprehensive set of tools and libraries for building and deploying machine learning applications. TensorFlow supports various platforms and is known for its scalability and flexibility. However, a vulnerability has been discovered in the implementation of the AddManySparseToTensorsMap function, which can lead to an integer overflow and subsequent denial of service (DoS) attack. This vulnerability affects the TensorFlow package versions 0 to 2.5.3, 2.6.0 to 2.6.3, and 2.7.1, and has been fixed in TensorFlow 2.8.0.
Vulnerability Detail
The vulnerability arises due to missing validation on the shapes of input tensors and the direct construction of a large TensorShape object with user-provided dimensions. This oversight allows an attacker to trigger an integer overflow, resulting in a CHECK-fail when building new TensorShape objects. An attacker can exploit this vulnerability to cause a denial of service by crashing the application. The impact of this vulnerability can be severe, as it can disrupt the availability of machine learning applications and potentially lead to financial losses or data breaches.
How To Fix
Latest published version: 2.21.0 as of 22 Oct 2026
pip install --upgrade "tensorflow-cpu==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-cpu==2.5.3" -
>= 2.6.0, < 2.6.32.6.3pip install --upgrade "tensorflow-cpu==2.6.3"
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Workaround
There is no specific workaround provided for this vulnerability. The recommended approach is to update the TensorFlow package to the latest patched version.
Conclusion
The integer overflow vulnerability in TensorFlow can lead to a denial of service (DoS) attack and potential disruption of machine learning applications. It is crucial to update the TensorFlow package to the latest patched version or apply the provided patches to mitigate the risk. For further support and assistance in vulnerability remediation, please contact DevNack.com.
See every vulnerability recorded for tensorflow-cpu →
FAQ
TensorFlow is an open-source machine learning framework used for developing and training machine learning models.
The vulnerability can lead to a denial of service (DoS) attack, potentially disrupting the availability of machine learning applications.
The vulnerability affects TensorFlow versions 0 to 2.5.3, 2.6.0 to 2.6.3, and 2.7.1.
Yes, the vulnerability has been fixed in TensorFlow 2.8.0. Patches have also been released for TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3.
To mitigate the risk, it is recommended to update your TensorFlow installation to the latest patched version.
References
Related vulnerabilities
Recent vulnerabilities recorded for tensorflow-cpu.
