CVE-2022-35991: TensorFlow - CHECK fail in TensorListScatter and TensorListScatterV2
Summary
CVE-2022-35991: TensorFlow vulnerable to CHECK fail in TensorListScatter and TensorListScatterV2. Affects tensorflow across 3 version ranges.
< 2.7.2
>= 2.8.0, < 2.8.1
>= 2.9.0, < 2.9.1
Fixed in 2.7.2, 2.8.1 or 2.9.1, depending on the release line you run. How to fix ↓
Also tracked for
- tensorflow-cpu · PyPI
- tensorflow-gpu · PyPI
- tensorflow · Bitnami
The same CVE-2022-35991 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 affects the functions TensorListScatter and TensorListScatterV2.
Vulnerability Detail
The vulnerability in TensorFlow arises when the functions TensorListScatter and TensorListScatterV2 receive an element_shape of a rank greater than one. This triggers a CHECK fail, which can be exploited to launch a denial of service (DoS) attack. An attacker can craft malicious input that triggers the CHECK fail, causing the TensorFlow application to crash or become unresponsive. This vulnerability has a CVSS score of 5.9, indicating a moderate severity level.
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.
-
< 2.7.22.7.2pip install --upgrade "tensorflow==2.7.2" -
>= 2.8.0, < 2.8.12.8.1pip install --upgrade "tensorflow==2.8.1" -
>= 2.9.0, < 2.9.12.9.1pip install --upgrade "tensorflow==2.9.1"
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's TensorListScatter and TensorListScatterV2 functions can lead to a denial of service attack. It is crucial to update to the patched versions of TensorFlow (2.7.2, 2.8.1, or 2.9.1) to mitigate this vulnerability. For further support and assistance with 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 can be exploited to launch a denial of service (DoS) attack, causing the TensorFlow application to crash or become unresponsive.
To fix the vulnerability, update your TensorFlow installation to one of the patched versions: TensorFlow 2.7.2, TensorFlow 2.8.1, or TensorFlow 2.9.1.
No, there is no known workaround for this vulnerability. It is recommended to update to the patched versions of TensorFlow.
This vulnerability has a CVSS score of 5.9, indicating a moderate severity level.
References
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