CVE-2022-23574: TensorFlow Heap Out-of-Bounds Read/Write
Summary
CVE-2022-23574: Tensorflow is an Open Source Machine Learning Framework. Affects tensorflow-cpu across 3 version ranges.
< 2.5.3
>= 2.6.0, < 2.6.3
< 0657c83d08845cc434175934c642299de2c0f042
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-2022-23574 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 deploying machine learning models. It provides a comprehensive set of tools and libraries for building and training neural networks. TensorFlow is written in Python and C++ and supports various platforms and devices. It is maintained by the TensorFlow team at Google. This vulnerability affects the TensorFlow CPU package available on PyPI.
Vulnerability Detail
The vulnerability in TensorFlow is caused by a typo in the SpecializeType function. This typo leads to a heap out-of-bounds read/write issue. In the affected code, the variable arg is incorrectly initialized to the ith mutable argument in a loop where the loop index is j. This allows an attacker to assign values to arg from outside the vector of arguments, resulting in both read and write operations outside the bounds of the data. This vulnerability can be exploited to manipulate memory and potentially execute arbitrary code. The issue has been identified and fixed in TensorFlow 2.8.0, and the fix has also been backported to TensorFlow 2.7.1 and TensorFlow 2.6.3.
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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Conclusion
The vulnerability in TensorFlow's SpecializeType function can lead to heap out-of-bounds read/write operations, potentially enabling an attacker to manipulate memory and execute arbitrary code. It is crucial to update to the fixed versions of TensorFlow (2.8.0, 2.7.1, or 2.6.3) to mitigate this vulnerability. For further assistance or support 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 building and training neural networks.
This vulnerability allows an attacker to perform heap out-of-bounds read/write operations, potentially leading to memory manipulation and arbitrary code execution.
The vulnerability affects TensorFlow versions 2.5.3, 2.6.0, 2.6.3, and prior versions.
To fix this vulnerability, update to TensorFlow 2.8.0, 2.7.1, or 2.6.3, depending on your current version.
No specific workaround has been provided. It is recommended to update to the fixed versions of TensorFlow.
References
Related vulnerabilities
Recent vulnerabilities recorded for tensorflow-cpu.
