TensorFlow is an open source platform for machine learning. If `FakeQuantWithMinMaxVarsPerChannel` is given `min` or `max` tensors of a rank other than one, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. 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.
History

Wed, 23 Apr 2025 17:15:00 +0000

Type Values Removed Values Added
Metrics ssvc

{'options': {'Automatable': 'no', 'Exploitation': 'none', 'Technical Impact': 'partial'}, 'version': '2.0.3'}


cve-icon MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published: 2022-09-16T22:05:10.000Z

Updated: 2025-04-23T17:01:22.483Z

Reserved: 2022-07-15T00:00:00.000Z

Link: CVE-2022-36019

cve-icon Vulnrichment

Updated: 2024-08-03T09:51:59.760Z

cve-icon NVD

Status : Modified

Published: 2022-09-16T22:15:11.887

Modified: 2024-11-21T07:12:11.813

Link: CVE-2022-36019

cve-icon Redhat

No data.