TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient` receives input `min` or `max` of rank other than 1, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. 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: 2022-09-16T22:00:12.000Z

Updated: 2025-04-23T17:01:29.664Z

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

Link: CVE-2022-35990

cve-icon Vulnrichment

Updated: 2024-08-03T09:51:59.863Z

cve-icon NVD

Status : Modified

Published: 2022-09-16T22:15:11.727

Modified: 2024-11-21T07:12:07.730

Link: CVE-2022-35990

cve-icon Redhat

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