PT-2022-23119 · Google · Tensorflow

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CVE-2022-36019

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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 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier
Description The issue arises when FakeQuantWithMinMaxVarsPerChannel is given min or max tensors of a rank other than one, resulting in a CHECK fail that can be used to trigger a denial of service attack.
Recommendations For versions prior to 2.10.0, update to TensorFlow 2.10.0 or later. For versions 2.9.1 and earlier, update to TensorFlow 2.9.1 or later. For versions 2.8.1 and earlier, update to TensorFlow 2.8.1 or later. For versions 2.7.2 and earlier, update to TensorFlow 2.7.2 or later. As a temporary workaround, consider avoiding the use of FakeQuantWithMinMaxVarsPerChannel with min or max tensors of a rank other than one until a patch is available.

Exploit

Fix

Assertion Failure

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Weakness Enumeration

Related Identifiers

BIT-TENSORFLOW-2022-36019
CVE-2022-36019
GHSA-9J4V-PP28-MXV7
OPENSUSE-SU-2024:12355-1
PYSEC-2026-3152
PYSEC-2026-3306
PYSEC-2026-978

Affected Products

Tensorflow