PT-2022-23088
CVE-2022-35990
·
Published
2022-09-16
·
Updated
2026-07-13
Description by
CVSS 3.1
5.9
MediumMetricsAV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
Name of the Vulnerable Software and Affected Versions
TensorFlow versions prior to 2.10.0
TensorFlow versions 2.9.1 and earlier
TensorFlow versions 2.8.1 and earlier
TensorFlow versions 2.7.2 and earlier
Description
The issue occurs when
tf.quantization.fake quant with min max vars per channel gradient receives input min or max of rank other than 1, resulting in a CHECK fail that can trigger a denial of service attack.Recommendations
For versions prior to 2.10.0, update to TensorFlow 2.10.0 or later.
For versions 2.9.1 and earlier, update to TensorFlow 2.9.1 or later.
For versions 2.8.1 and earlier, update to TensorFlow 2.8.1 or later.
For versions 2.7.2 and earlier, update to TensorFlow 2.7.2 or later.
As a temporary workaround, consider avoiding the use of
tf.quantization.fake quant with min max vars per channel gradient with input min or max of rank other than 1 until a patch is available.Exploitability
Exploit
Fix
Impacts
Vendors
Affected products
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