PT-2022-23077 · Google · Tensorflow

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CVE-2022-35979

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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 results in a segfault that can be used to trigger a denial of service attack when QuantizedRelu or QuantizedRelu6 are given nonscalar inputs for min features or max features.
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 nonscalar inputs for min features or max features in QuantizedRelu or QuantizedRelu6 until a patch is available.

Exploit

Fix

RCE

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Weakness Enumeration

Related Identifiers

BIT-TENSORFLOW-2022-35979
CVE-2022-35979
GHSA-V7VW-577F-VP8X
OPENSUSE-SU-2024:12355-1
PYSEC-2026-1038
PYSEC-2026-3245
PYSEC-2026-3372

Affected Products

Tensorflow