CVE-2022-35966

Improper Input Validation in pypi/tensorflow-gpu

Identifiers

GHSA-4w68-4x85-mjj9, CVE-2022-35966

Package Slug

pypi/tensorflow-gpu

Vulnerability

Improper Input Validation

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.

Affected Versions

All versions before 2.7.2, all versions starting from 2.8.0 before 2.8.1, all versions starting from 2.9.0 before 2.9.1

Solution

Upgrade to versions 2.7.2, 2.8.1, 2.9.1 or above.

Last Modified

2022-09-19

source