TensorFlow is an open source platform for machine learning. If `QuantizedAdd` 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 49b3824d83af706df0ad07e4e677d88659756d89. 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: 2022-09-16T20:35:10.000Z

Updated: 2025-04-23T17:03:24.192Z

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

Link: CVE-2022-35967

cve-icon Vulnrichment

Updated: 2024-08-03T09:51:59.308Z

cve-icon NVD

Status : Modified

Published: 2022-09-16T21:15:09.097

Modified: 2024-11-21T07:12:04.350

Link: CVE-2022-35967

cve-icon Redhat

No data.