CVE-2021-29529: Heap buffer overflow caused by rounding in TensorFlow
Summary
CVE-2021-29529: Heap buffer overflow caused by rounding. Affects tensorflow across 4 version ranges.
< 2.1.4
>= 2.2.0, < 2.2.3
>= 2.3.0, < 2.3.3
>= 2.4.0, < 2.4.2
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-2021-29529 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 identified in TensorFlow that could potentially lead to a heap buffer overflow.
Vulnerability Detail
The vulnerability, identified as CVE-2021-29529, is a heap buffer overflow caused by rounding errors in the tf.raw_ops.QuantizedResizeBilinear function. By manipulating input values, an attacker can trigger the overflow and potentially execute arbitrary code. The issue arises from the computation of interpolation bounds, where rounding errors can result in accessing image elements outside the intended range. This can lead to a heap buffer overflow in the subsequent interpolation code, potentially compromising the integrity and security of the system.
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.
-
< 2.1.42.1.4pip install --upgrade "tensorflow==2.1.4" -
>= 2.2.0, < 2.2.32.2.3pip install --upgrade "tensorflow==2.2.3" -
>= 2.3.0, < 2.3.32.3.3pip install --upgrade "tensorflow==2.3.3" -
>= 2.4.0, < 2.4.22.4.2pip install --upgrade "tensorflow==2.4.2"
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Workaround
No specific workaround has been provided for this vulnerability. It is recommended to apply the patch or update to the fixed versions of TensorFlow as mentioned in the 'how_to_fix' section.
Conclusion
The identified vulnerability in TensorFlow can potentially lead to a heap buffer overflow, compromising the system's security. It is crucial for users to update their TensorFlow installations to the patched versions as soon as they become available. For further support on 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 potentially lead to a heap buffer overflow, which may allow an attacker to execute arbitrary code and compromise the system's integrity and security.
To fix this vulnerability, update your TensorFlow installation to the patched versions mentioned in the 'how_to_fix' section.
No, only TensorFlow versions 2.1.4, 2.2.3, 2.3.3, and 2.4.2 are affected. The vulnerability has been fixed in TensorFlow 2.5.0.
No specific workaround has been provided. It is recommended to apply the patch or update to the fixed versions of TensorFlow.
References
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