PT-2022-23069
CVE-2022-35970
·
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 arises when
QuantizedInstanceNorm is given x min or x max tensors of a nonzero rank, resulting in a segfault that can be used to trigger a denial of service attack. There are no known workarounds for this issue.Recommendations
For TensorFlow versions prior to 2.10.0, update to version 2.10.0 or later.
For TensorFlow versions 2.9.1 and earlier, update to version 2.9.1 or later.
For TensorFlow versions 2.8.1 and earlier, update to version 2.8.1 or later.
For TensorFlow versions 2.7.2 and earlier, update to version 2.7.2 or later.
As a temporary workaround, consider avoiding the use of
QuantizedInstanceNorm with x min or x max tensors of a nonzero rank until a patch is available.Exploitability
Exploit
Fix
Impacts
Vendors
Affected products
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