CVE-2021-29537: TensorFlow - Heap Buffer Overflow in QuantizedResizeBilinear
Summary
CVE-2021-29537: TensorFlow is an end-to-end open source platform for machine learning. Affects tensorflow across 5 version ranges.
>= 2.2.0, < 2.3.0rc0
< 2.2.0rc0
>= 2.3.0, < 2.3.4
>= 2.4.0, < 2.4.3
< f6c40f0c6cbf00d46c7717a26419f2062f2f8694
Fixed in 4 releases; the minimum fixed version depends on the release line you run. How to fix ↓
Also tracked for
- tensorflow · Bitnami
- tensorflow-cpu · PyPI
- tensorflow-gpu · PyPI
The same CVE-2021-29537 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 end-to-end open source platform for machine learning. It provides a comprehensive ecosystem of tools, libraries, and resources for developing and deploying machine learning models. TensorFlow is widely used in various industries and research domains for tasks such as image recognition, natural language processing, and recommendation systems. However, a vulnerability has been discovered in TensorFlow that can lead to a heap buffer overflow in the QuantizedResizeBilinear function.
Vulnerability Detail
The vulnerability arises due to the assumption made in the implementation of QuantizedResizeBilinear that the threshold arguments provided for quantization are always valid scalars. This assumption leads to a heap buffer overflow when invalid thresholds are passed, allowing an attacker to potentially execute arbitrary code or cause a denial of service. The issue has been identified in the code responsible for accessing the numeric value of the thresholds directly. The vulnerability affects versions of TensorFlow up to 2.4.0.
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.
-
< 2.2.0rc02.2.0rc0pip install --upgrade "tensorflow==2.2.0rc0" -
>= 2.2.0, < 2.3.0rc02.3.0rc0pip install --upgrade "tensorflow==2.3.0rc0" -
>= 2.3.0, < 2.3.42.3.4pip install --upgrade "tensorflow==2.3.4" -
>= 2.4.0, < 2.4.32.4.3pip install --upgrade "tensorflow==2.4.3"
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. The recommended approach is to update TensorFlow to the fixed versions mentioned above.
Conclusion
The identified vulnerability in TensorFlow can lead to a heap buffer overflow, potentially enabling an attacker to execute arbitrary code or cause a denial of service. Users are advised to update their TensorFlow installations to the fixed versions or apply the respective updates to mitigate the vulnerability. For further support on vulnerability remediation, please contact DevNack.com.
See every vulnerability recorded for tensorflow →
FAQ
TensorFlow is an open source platform for machine learning that provides a comprehensive set of tools and libraries for developing and deploying machine learning models.
The vulnerability can potentially allow an attacker to execute arbitrary code or cause a denial of service by triggering a heap buffer overflow in TensorFlow.
The vulnerability affects TensorFlow versions up to 2.4.0. Versions 2.5.0 and above are not affected.
To fix the vulnerability, it is recommended to update TensorFlow to version 2.5.0 or apply the respective updates for versions 2.4.2, 2.3.3, 2.2.3, and 2.1.4.
No specific workaround is provided for this vulnerability. Updating to the fixed versions is the recommended solution.
References
Related vulnerabilities
Recent vulnerabilities recorded for tensorflow.
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