PT-2022-23071

CVE-2022-35972

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Published

2022-09-16

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Updated

2026-07-13

Description by

CVSS 3.1
5.9
Medium
MetricsAV: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
Related identifiers
GHSA-4PC4-M9MJ-V2R9
BIT-TENSORFLOW-2022-35972
OPENSUSE-SU-2024:12355-1
PYSEC-2026-3101
PYSEC-2026-3272
PYSEC-2026-948
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