CVE-2021-37652 Information

Description

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 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.

CVSS Vector

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Reference

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

Attack Complexity

LOW

Privileges Required

LOW

User Interaction Required

LOW

Scope

NONE

Confidentiality Impact

UNCHANGED

Integrity Impact

HIGH

Availability Impact

HIGH

Base Score

HIGH

Base Severity

7.8