CVE-2021-29561: TensorFlow Denial of Service Vulnerability
Summary
CVE-2021-29561: CHECK-fail in LoadAndRemapMatrix. 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 · PyPI
- tensorflow · PyPI
- tensorflow-cpu · PyPI
- tensorflow-gpu · PyPI
The same CVE-2021-29561 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 applications, including image recognition, natural language processing, and recommendation systems. However, a vulnerability has been discovered in TensorFlow that can lead to a denial of service attack.
Vulnerability Detail
The vulnerability in TensorFlow is caused by a CHECK-failure in the tf.raw_ops.LoadAndRemapMatrix function. The implementation assumes that the ckpt_path argument is always a valid scalar. However, an attacker can send any other tensor as the first argument of LoadAndRemapMatrix, triggering a rank CHECK and causing the process to terminate. This vulnerability can be exploited by an attacker to disrupt the availability of TensorFlow applications, leading to a denial of service.
How To Fix
Fixed versions by release line
The minimum fixed version depends on the release line you run.
-
< 2.1.42.1.4 -
>= 2.2.0, < 2.2.32.2.3 -
>= 2.3.0, < 2.3.32.3.3 -
>= 2.4.0, < 2.4.22.4.2
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 currently no known workaround for this vulnerability. It is recommended to apply the official fix as soon as it is available.
Conclusion
The vulnerability in TensorFlow can lead to a denial of service attack. It is important for users to update their TensorFlow installations to the fixed versions as soon as they become available. For further support on vulnerability remediation, you can contact DevNack.com.
See every vulnerability recorded for tensorflow →
FAQ
TensorFlow is an open source platform for machine learning that provides tools and resources for developing and deploying machine learning models.
This vulnerability can be exploited by an attacker to cause a denial of service, disrupting the availability of TensorFlow applications.
The vulnerability will be fixed in TensorFlow 2.5.0. It is recommended to update to this version as soon as it becomes available. Backported fixes will also be available for TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3, and TensorFlow 2.1.4.
There is currently no known workaround for this vulnerability. It is recommended to apply the official fix as soon as it is available.
For more information about this vulnerability, you can refer to the official vulnerability report or contact the TensorFlow development team.
References
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