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

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cve-icon MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published: 2022-09-16T22:00:12

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

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

Link: CVE-2022-35990

cve-icon Vulnrichment

No data.

cve-icon NVD

Status : Analyzed

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

Modified: 2022-09-20T14:55:02.243

Link: CVE-2022-35990

cve-icon Redhat

No data.