TensorFlow is an open source platform for machine learning. If `QuantizedRelu` or `QuantizedRelu6` are given nonscalar inputs for `min_features` or `max_features`, 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 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: 2022-09-16T21:10:10.000Z

Updated: 2025-04-23T17:02:30.147Z

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

Link: CVE-2022-35979

cve-icon Vulnrichment

Updated: 2024-08-03T09:51:59.270Z

cve-icon NVD

Status : Modified

Published: 2022-09-16T22:15:11.117

Modified: 2024-11-21T07:12:06.053

Link: CVE-2022-35979

cve-icon Redhat

No data.