PT-2022-23072 · Google · Tensorflow

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CVE-2022-35973

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Published

2022-09-16

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Updated

2026-07-13

CVSS v3.1

5.9

Medium

VectorAV: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.

Exploit

Fix

RCE

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Weakness Enumeration

Related Identifiers

BIT-TENSORFLOW-2022-35973
CVE-2022-35973
GHSA-689C-R7H2-FV9V
OPENSUSE-SU-2024:12355-1
PYSEC-2026-3119
PYSEC-2026-3285
PYSEC-2026-959

Affected Products

Tensorflow