CVE-2021-41207: TensorFlow - Division by 0 in ParallelConcat Implementation
Summary
CVE-2021-41207: Division by zero in ParallelConcat. Affects tensorflow across 3 version ranges.
>= 2.4.0, < 2.4.4
>= 2.5.0, < 2.5.2
>= 2.6.0, < 2.6.1
Fixed in 2.4.4, 2.5.2 or 2.6.1, 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-2021-41207 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 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 domains, including research, industry, and academia. This vulnerability affects versions 2.4.0 and above of the TensorFlow package.
Vulnerability Detail
The vulnerability in TensorFlow's implementation of ParallelConcat arises from missing input validation, which can lead to a division by zero. This vulnerability can be exploited by an attacker to cause a denial-of-service (DoS) condition or potentially execute arbitrary code. The issue has been assigned the identifier CVE-2021-41207 and has a severity rating of Medium.
How To Fix
Fixed versions by release line
The minimum fixed version depends on the release line you run.
-
>= 2.4.0, < 2.4.42.4.4 -
>= 2.5.0, < 2.5.22.5.2 -
>= 2.6.0, < 2.6.12.6.1
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Workaround
There is no known workaround for this vulnerability. It is recommended to follow the steps mentioned in the 'how_to_fix' section to update TensorFlow to a patched version.
Conclusion
The vulnerability in TensorFlow's ParallelConcat implementation can result in a division by zero, leading to a denial-of-service condition or potential code execution. Users are advised to upgrade to the latest patched version of TensorFlow or apply the appropriate patches to mitigate the risk. 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 tools and libraries for developing and deploying machine learning models.
This vulnerability can lead to a division by zero, resulting in a denial-of-service (DoS) condition or potential execution of arbitrary code.
Versions 2.4.0 and above of the TensorFlow package are affected by this vulnerability.
To fix this vulnerability, upgrade your TensorFlow installation to version 2.7.0 or apply the appropriate patches for versions 2.6.1, 2.5.2, or 2.4.4.
No, there is no known workaround for this vulnerability. It is recommended to update TensorFlow to a patched version.
References
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