CVE-2021-37680: TensorFlow - Division by Zero Vulnerability
Summary
CVE-2021-37680: Division by zero in TFLite in TensorFlow. Affects tensorflow across 3 version ranges.
>= 2.3.0, < 2.3.4
>= 2.4.0, < 2.4.3
>= 2.5.0, < 2.5.1
Fixed in 2.3.4, 2.4.3 or 2.5.1, depending 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-2021-37680 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 for building and deploying machine learning models. TensorFlow is widely used in various domains, including research, industry, and academia. However, a vulnerability has been discovered in TensorFlow that affects the implementation of fully connected layers in TFLite.
Vulnerability Detail
The vulnerability in TensorFlow's TFLite implementation of fully connected layers is caused by a division by zero error. This error can be exploited by an attacker to cause a denial of service (DoS) condition or potentially execute arbitrary code. The vulnerability exists in versions 2.3.0 to 2.6.0-rc2 of TensorFlow.
How To Fix
Fixed versions by release line
The minimum fixed version depends on the release line you run.
-
>= 2.3.0, < 2.3.42.3.4 -
>= 2.4.0, < 2.4.32.4.3 -
>= 2.5.0, < 2.5.12.5.1
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Workaround
There is no known workaround for this vulnerability. It is essential to update TensorFlow to the patched versions mentioned above.
Conclusion
The division by zero vulnerability in TensorFlow's TFLite implementation of fully connected layers can lead to a denial of service (DoS) condition or potential execution of arbitrary code. It is crucial to update TensorFlow to the patched versions or apply the provided patch to mitigate this vulnerability. For further support on vulnerability remediation, please contact DevNack.com.
See every vulnerability recorded for tensorflow →
FAQ
TensorFlow is an open source platform for machine learning that provides a comprehensive ecosystem for building and deploying machine learning models.
This vulnerability can lead to a denial of service (DoS) condition or potential execution of arbitrary code.
Versions 2.3.0 to 2.6.0-rc2 of TensorFlow are affected by this vulnerability.
To fix this vulnerability, update TensorFlow to version 2.6.0 or apply the provided patch.
There is no known workaround for this vulnerability. Updating TensorFlow is the recommended solution.
References
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