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Vulnerability Details : CVE-2021-37652

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for `tf.raw_ops.BoostedTreesCreateEnsemble` can result in a use after free error if an attacker supplies specially crafted arguments. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/boosted_trees/resource_ops.cc#L55) uses a reference counted resource and decrements the refcount if the initialization fails, as it should. However, when the code was written, the resource was represented as a naked pointer but later refactoring has changed it to be a smart pointer. Thus, when the pointer leaves the scope, a subsequent `free`-ing of the resource occurs, but this fails to take into account that the refcount has already reached 0, thus the resource has been already freed. During this double-free process, members of the resource object are accessed for cleanup but they are invalid as the entire resource has been freed. We have patched the issue in GitHub commit 5ecec9c6fbdbc6be03295685190a45e7eee726ab. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
Publish Date : 2021-08-12 Last Update Date : 2021-08-18
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- CVSS Scores & Vulnerability Types

CVSS Score
4.6
Confidentiality Impact Partial (There is considerable informational disclosure.)
Integrity Impact Partial (Modification of some system files or information is possible, but the attacker does not have control over what can be modified, or the scope of what the attacker can affect is limited.)
Availability Impact Partial (There is reduced performance or interruptions in resource availability.)
Access Complexity Low (Specialized access conditions or extenuating circumstances do not exist. Very little knowledge or skill is required to exploit. )
Authentication Not required (Authentication is not required to exploit the vulnerability.)
Gained Access None
Vulnerability Type(s)
CWE ID 416

- Products Affected By CVE-2021-37652

# Product Type Vendor Product Version Update Edition Language
1 Application Google Tensorflow * * * * Version Details Vulnerabilities
2 Application Google Tensorflow 2.5.0 * * * Version Details Vulnerabilities
3 Application Google Tensorflow 2.6.0 RC2 * * Version Details Vulnerabilities
4 Application Google Tensorflow 2.6.0 RC0 * * Version Details Vulnerabilities
5 Application Google Tensorflow 2.6.0 RC1 * * Version Details Vulnerabilities

- Number Of Affected Versions By Product

Vendor Product Vulnerable Versions
Google Tensorflow 5

- References For CVE-2021-37652

https://github.com/tensorflow/tensorflow/commit/5ecec9c6fbdbc6be03295685190a45e7eee726ab
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m7fm-4jfh-jrg6 CONFIRM

- Metasploit Modules Related To CVE-2021-37652

There are not any metasploit modules related to this CVE entry (Please visit www.metasploit.com for more information)


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