PT-2022-23072

CVE-2022-35973

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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, 2.8.1, and 2.7.2
Description The issue arises when QuantizedMatMul is given nonscalar input for: min a, max a, min b, or max b. This can trigger a segfault, leading to 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, 2.8.1, and 2.7.2, update to the respective patched versions. As a temporary workaround, consider avoiding the use of QuantizedMatMul with nonscalar input for min a, max a, min b, or max b until a patch is available.
Exploitability
Exploit
Fix
Impacts
Vendors
Affected products
Related identifiers
GHSA-689C-R7H2-FV9V
BIT-TENSORFLOW-2022-35973
OPENSUSE-SU-2024:12355-1
PYSEC-2026-3119
PYSEC-2026-3285
PYSEC-2026-959
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