PT-2022-23071
CVE-2022-35972
·
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
QuantizedBiasAdd is given min input, max input, min bias, max bias tensors of a nonzero rank, resulting in a segfault that can be used to trigger a denial of service attack.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
QuantizedBiasAdd with min input, max input, min bias, max bias tensors of a nonzero rank until a patch is available.Exploitability
Exploit
Fix
Impacts
Vendors
Affected products
Found an issue in the description? Have something to add? Feel free to write us 👾