CVE-2021-29532: TensorFlow GPU - Out-of-Bounds Read Vulnerability
Summary
CVE-2021-29532: TensorFlow is an end-to-end open source platform for machine learning. Affects tensorflow-gpu 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
< 44b7f486c0143f68b56c34e2d01e146ee445134a
Fixed in 4 releases; the minimum fixed version depends on the release line you run. How to fix ↓
Also tracked for
- tensorflow · Bitnami
- tensorflow · PyPI
- tensorflow · PyPI
- tensorflow-cpu · PyPI
The same CVE-2021-29532 is tracked separately for each ecosystem and vendor. Its fix information is the same; the package and affected versions differ.
Check if this vulnerability affects your application
Upload a manifest or SBOM and we'll show whether you're affected, plus every other risky package in the same scan.
No signup required · Results in about 60 seconds
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 GPU is a variant of TensorFlow that leverages GPU acceleration for faster computation. It is widely used in various industries and research domains for training and inference of machine learning models.
Vulnerability Detail
The vulnerability (CVE-2021-29532) in TensorFlow GPU allows an attacker to force accesses outside the bounds of heap allocated arrays by passing in invalid tensor values to the tf.raw_ops.RaggedCross function. The implementation lacks validation for the user-supplied arguments, leading to out-of-bounds reads in the heap. This can be exploited to read sensitive data or cause a denial-of-service condition. The vulnerability affects versions of TensorFlow GPU up to 2.4.3.
How To Fix
Latest published version: 2.12.0 as of 22 Oct 2026
pip install --upgrade "tensorflow-gpu==2.12.0"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-gpu==2.2.0rc0" -
>= 2.2.0, < 2.3.0rc02.3.0rc0pip install --upgrade "tensorflow-gpu==2.3.0rc0" -
>= 2.3.0, < 2.3.42.3.4pip install --upgrade "tensorflow-gpu==2.3.4" -
>= 2.4.0, < 2.4.32.4.3pip install --upgrade "tensorflow-gpu==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 known workaround for this vulnerability. It is recommended to update to the fixed version of TensorFlow GPU.
Conclusion
The vulnerability in TensorFlow GPU (CVE-2021-29532) allows for out-of-bounds reads in heap allocated arrays, potentially leading to data leakage or denial-of-service attacks. It is crucial to update to the fixed version of TensorFlow GPU (2.5.0 or later) to mitigate this vulnerability. For further assistance or support in vulnerability remediation, please contact DevNack.com.
See every vulnerability recorded for tensorflow-gpu →
FAQ
TensorFlow GPU is a variant of TensorFlow that utilizes GPU acceleration for faster computation of machine learning models.
This vulnerability allows an attacker to read sensitive data or cause a denial-of-service condition in TensorFlow GPU.
Versions of TensorFlow GPU up to 2.4.3 are affected by this vulnerability.
No, there is no known workaround. It is recommended to update to the fixed version of TensorFlow GPU.
To fix this vulnerability, update TensorFlow GPU to version 2.5.0 or later.
References
Related vulnerabilities
Recent vulnerabilities recorded for tensorflow-gpu.
