CVE-2021-29603: TensorFlow - Out-of-Bounds Write Vulnerability
Summary
CVE-2021-29603: Heap OOB write in TFLite. 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-2021-29603 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.
Vulnerability Detail
A vulnerability has been discovered in TensorFlow that allows for an out-of-bounds write on the heap. This vulnerability can be triggered by a specially crafted TFLite model when using the ArgMin/ArgMax functions. If the axis_value parameter is not within the valid range, the code writes beyond the allocated memory, potentially leading to memory corruption and arbitrary code execution. The issue has been assigned CVE-2021-29603 and has a CVSSv3 severity rating of High.
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
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Workaround
There is no known workaround for this vulnerability. It is recommended to apply the provided patches or update to the latest version of TensorFlow as soon as possible.
Conclusion
The discovered vulnerability in TensorFlow could potentially lead to memory corruption and arbitrary code execution. It is crucial for users of TensorFlow to update their installations to the latest patched version or apply the provided patches to mitigate the risk. For further support and assistance with vulnerability remediation, please contact DevNack.com.
See every vulnerability recorded for tensorflow →
FAQ
TensorFlow is an open source platform for machine learning developed by Google. It provides a wide range of tools and libraries for building and deploying machine learning models.
This vulnerability could allow an attacker to execute arbitrary code or cause a denial of service by exploiting the out-of-bounds write issue in TensorFlow.
You can use the Vulert Playground (https://vulert.com/scanner) to check if your application is affected by this vulnerability. Simply upload your manifest file (e.g., package-lock.json) and Vulert will analyze it for any known vulnerabilities.
The recommended mitigation is to update to the latest patched version of TensorFlow. This will ensure that the vulnerability is addressed and the risk is minimized.
You can find more information about this vulnerability in the official TensorFlow security advisory (link to be provided). It contains detailed information about the vulnerability, its impact, and the recommended actions to mitigate the risk.
References
Related vulnerabilities
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