TensorFlow is an open source platform for machine learning. If `QuantizedInstanceNorm` is given `x_min` or `x_max` 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 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 18:15:00 +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: 2022-09-16T20:45:13.000Z

Updated: 2025-04-23T17:03:06.335Z

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

Link: CVE-2022-35970

cve-icon Vulnrichment

Updated: 2024-08-03T09:51:59.226Z

cve-icon NVD

Status : Modified

Published: 2022-09-16T21:15:09.293

Modified: 2024-11-21T07:12:04.787

Link: CVE-2022-35970

cve-icon Redhat

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