CVE-2021-37662: TensorFlow BoostedTreesCalculateBestGainsPerFeature and BoostedTreesCalculateBestFeatureSplitV2 Vulnerability
Summary
CVE-2021-37662: Reference binding to nullptr in boosted trees 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-2021-37662 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 industries and has a large community of developers and users. However, certain versions of TensorFlow are vulnerable to a specific issue related to BoostedTreesCalculateBestGainsPerFeature and BoostedTreesCalculateBestFeatureSplitV2 functions.
Vulnerability Detail
The vulnerability in TensorFlow arises from a lack of input value validation in the BoostedTreesCalculateBestGainsPerFeature and BoostedTreesCalculateBestFeatureSplitV2 functions. An attacker can exploit this vulnerability by generating undefined behavior through a reference binding to nullptr. This can lead to various security risks and potential system crashes. The vulnerability affects multiple versions of TensorFlow, including 2.3.0 to 2.3.4, 2.4.0 to 2.4.3, 2.5.0, 2.6.0-rc0, 2.6.0-rc1, and 2.6.0-rc2.
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
Tip — Not sure which release line you're on? Vulert can find the fix for the version you are using. Scan free →
Workaround
Currently, there is no known workaround for this vulnerability. It is recommended to apply the provided patches or update to the fixed versions of TensorFlow as soon as they are available.
Conclusion
The vulnerability in TensorFlow related to BoostedTreesCalculateBestGainsPerFeature and BoostedTreesCalculateBestFeatureSplitV2 functions can lead to undefined behavior and potential security risks. It is crucial to apply the provided patches or update to the fixed versions of TensorFlow to mitigate these risks. 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 undefined behavior, potential system crashes, and various security risks.
The vulnerability affects TensorFlow versions 2.3.0 to 2.3.4, 2.4.0 to 2.4.3, 2.5.0, 2.6.0-rc0, 2.6.0-rc1, and 2.6.0-rc2.
To fix this vulnerability, apply the provided patches or update to the fixed versions of TensorFlow.
Currently, there is no known workaround for this vulnerability.
References
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