CVE-2022-29203: Integer overflow in TensorFlow's SpaceToBatchND
Summary
CVE-2022-29203: Integer overflow in SpaceToBatchND. Affects tensorflow across 3 version ranges.
< 2.6.4
>= 2.7.0, < 2.7.2
>= 2.8.0, < 2.8.1
Fixed in 2.6.4, 2.7.2 or 2.8.1, depending on the release line you run. How to fix ↓
Also tracked for
- tensorflow-cpu · PyPI
- tensorflow-gpu · PyPI
- tensorflow · Bitnami
The same CVE-2022-29203 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. The SpaceToBatchND operation is used to rearrange data by splitting it into blocks and interleaving them. This operation is vulnerable to an integer overflow, which can lead to a denial of service (DoS) attack.
Vulnerability Detail
The vulnerability in TensorFlow's SpaceToBatchND operation arises due to an integer overflow. When certain input values are provided, the implementation of tf.raw_ops.SpaceToBatchND can result in an integer overflow. This overflow is then used to allocate memory for the output tensor, leading to a DoS via a CHECK failure. An attacker can exploit this vulnerability to crash the TensorFlow application, causing a denial of service.
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.
-
< 2.6.42.6.4pip install --upgrade "tensorflow==2.6.4" -
>= 2.7.0, < 2.7.22.7.2pip install --upgrade "tensorflow==2.7.2" -
>= 2.8.0, < 2.8.12.8.1pip install --upgrade "tensorflow==2.8.1"
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 specific workaround provided for this vulnerability. Updating to the patched version of TensorFlow is the recommended solution.
Conclusion
The vulnerability in TensorFlow's SpaceToBatchND operation has been addressed in the latest version of TensorFlow. It is crucial to update to the patched version or apply the provided patch to mitigate the risk of a denial of service attack. For further support and assistance in vulnerability remediation, please contact DevNack.com.
See every vulnerability recorded for tensorflow →
FAQ
The vulnerability can be exploited by an attacker to crash the TensorFlow application, leading to a denial of service.
To fix this vulnerability, update TensorFlow to the latest version (2.9.0) or manually apply the provided patch.
No, only versions 2.6.4, 2.7.2, and 2.8.1 are affected. The vulnerability has been patched in TensorFlow 2.9.0.
No, this vulnerability requires the attacker to have access to the TensorFlow application.
This vulnerability was reported by Neophytos Christou from Secure Systems Lab at Brown University.
References
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