CVE-2022-35966

Description

TensorFlow is an open source platform for machine learning. If `QuantizedAvgPool` is given `min_input` or `max_input` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7cdf9d4d2083b739ec81cfdace546b0c99f50622. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Related CPE's

agoogletensorflow********

agoogletensorflow********

agoogletensorflow2.10rc1******

agoogletensorflow2.10rc2******

agoogletensorflow2.10rc3******

agoogletensorflow2.10rc0******

agoogletensorflow********

References

https://github.com/tensorflow/tensorflow/commit/7cdf9d4d2083b739ec81cfdace546b0c99f50622

PatchThird Party Advisory

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4w68-4x85-mjj9

PatchThird Party Advisory

CvssV3 impact

Could not find any metrics

CvssV2 impact

Could not find any metrics
Created by Yello
About Severity.io