CVE-2022-21737: TensorFlow - Denial of Service Vulnerability
Summary
CVE-2022-21737: Assertion failure based denial of service in Tensorflow. Affects tensorflow across 3 version ranges.
< 2.5.3
>= 2.6.0, < 2.6.3
>= 2.7.0, < 2.7.1
Fixed in 2.5.3, 2.6.3 or 2.7.1, depending on the release line you run. How to fix ↓
Also tracked for
- tensorflow · PyPI
- tensorflow · PyPI
- tensorflow-gpu · PyPI
- tensorflow-cpu · PyPI
The same CVE-2022-21737 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. This vulnerability affects versions of TensorFlow ranging from 0 to 2.7.0, exposing the framework to a denial of service attack.
Vulnerability Detail
The vulnerability in TensorFlow lies in the implementation of *Bincount operations. Malicious users can exploit this vulnerability by providing specific input arguments that trigger a CHECK-fail. Some of these conditions are not caught during shape inference, while others are not detected during kernel implementation. As a result, CHECK failures occur when allocating output tensors. This vulnerability can be exploited to cause a denial of service, potentially disrupting the availability of TensorFlow-based applications. The issue has been assigned CVE-2022-21737.
How To Fix
Fixed versions by release line
The minimum fixed version depends on the release line you run.
-
< 2.5.32.5.3 -
>= 2.6.0, < 2.6.32.6.3 -
>= 2.7.0, < 2.7.12.7.1
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. Users are encouraged to update to the fixed versions of TensorFlow as mentioned in the 'how_to_fix' section.
Conclusion
The vulnerability in TensorFlow's *Bincount operations can be exploited to cause a denial of service. Users are advised to update their TensorFlow installations to the fixed versions mentioned above to mitigate the risk. For further support on vulnerability remediation, contact DevNack.com.
See every vulnerability recorded for tensorflow →
FAQ
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.
This vulnerability allows malicious users to cause a denial of service by exploiting the *Bincount operations in TensorFlow. It can potentially disrupt the availability of TensorFlow-based applications.
Versions of TensorFlow ranging from 0 to 2.7.0 are affected by this vulnerability.
To fix this vulnerability, users should update their TensorFlow installations to one of the fixed versions: TensorFlow 2.8.0, TensorFlow 2.7.1, TensorFlow 2.6.3, or TensorFlow 2.5.3.
No specific workaround is provided for this vulnerability. Updating to the fixed versions of TensorFlow is the recommended solution.
References
Related vulnerabilities
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