CVE-2021-29544: Denial of Service in TensorFlow
Summary
CVE-2021-29544: 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
< 20431e9044cf2ad3c0323c34888b192f3289af6b
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-2021-29544 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 is widely used in various industries and research fields.
Vulnerability Detail
The vulnerability (CVE-2021-29544) in TensorFlow allows an attacker to trigger a denial of service by exploiting a flaw in the tf.raw_ops.QuantizeAndDequantizeV4Grad function. The implementation of this function does not properly validate the rank of the input tensors, leading to a CHECK failure. This vulnerability affects versions of TensorFlow up to 2.4.3. An attacker can exploit this vulnerability to cause a denial of service, potentially disrupting machine learning processes or applications relying on TensorFlow.
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 at the moment.
Conclusion
The vulnerability (CVE-2021-29544) in TensorFlow can be exploited to trigger a denial of service. Users are advised to upgrade to TensorFlow 2.5.0 or apply the provided patch to mitigate the risk. For further support on vulnerability remediation, contact DevNack.com.
See every vulnerability recorded for tensorflow-gpu →
FAQ
TensorFlow is an open source platform for machine learning, widely used for developing and deploying machine learning models.
This vulnerability allows an attacker to trigger a denial of service, potentially disrupting machine learning processes or applications relying on TensorFlow.
Versions of TensorFlow up to 2.4.3 are affected by this vulnerability.
To fix this vulnerability, upgrade to TensorFlow 2.5.0 when it becomes available or apply the provided patch.
There is no known workaround for this vulnerability at the moment.
References
Related vulnerabilities
Recent vulnerabilities recorded for tensorflow-gpu.
