CVE-2021-37664: TensorFlow - Out-of-Bounds Read Vulnerability
Summary
CVE-2021-37664: Heap OOB 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-2021-37664 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 research domains for tasks such as image recognition, natural language processing, and recommendation systems. However, a vulnerability has been discovered in TensorFlow that allows an attacker to read from outside the bounds of heap allocated data.
Vulnerability Detail
The vulnerability (CVE-2021-37664) in TensorFlow arises from a flaw in the BoostedTreesSparseCalculateBestFeatureSplit function. By sending specially crafted illegal arguments to this function, an attacker can trigger an out-of-bounds read. The issue occurs due to the lack of proper validation of the stats_summary_indices values, allowing them to be out of range. This vulnerability can be exploited to leak sensitive information or potentially execute arbitrary code.
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
There is no known workaround for this vulnerability at the moment. It is recommended to apply the official patch or update to the latest version of TensorFlow as soon as it is released.
Conclusion
The vulnerability in TensorFlow (CVE-2021-37664) allows an attacker to read from outside the bounds of heap allocated data. This can lead to information disclosure or arbitrary code execution. It is crucial to update TensorFlow to the latest patched version or apply the provided fixes to mitigate the 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 allows an attacker to read from outside the bounds of heap allocated data, potentially leading to information disclosure or arbitrary code execution.
The vulnerability affects TensorFlow versions 2.3.0 to 2.3.4, 2.4.0 to 2.4.3, 2.5.0, and 2.6.0-rc0 to 2.6.0-rc2.
To fix this vulnerability, it is recommended to update TensorFlow to the latest patched version once it becomes available. The fix will also be backported to older versions.
There is no known workaround for this vulnerability. It is recommended to apply the official patch or update to the latest version of TensorFlow.
References
Related vulnerabilities
Recent vulnerabilities recorded for tensorflow.
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