TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_gradient` receives input `min` or `max` that is nonscalar, 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: 2022-09-16T22:10:31

Updated: 2024-08-03T09:51:59.861Z

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

Link: CVE-2022-36005

cve-icon Vulnrichment

No data.

cve-icon NVD

Status : Analyzed

Published: 2022-09-16T23:15:10.937

Modified: 2022-09-20T14:42:16.580

Link: CVE-2022-36005

cve-icon Redhat

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