PT-2022-23077

CVE-2022-35979

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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 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.
Exploitability
Exploit
Fix
Impacts
Vendors
Affected products
Related identifiers
GHSA-V7VW-577F-VP8X
BIT-TENSORFLOW-2022-35979
OPENSUSE-SU-2024:12355-1
PYSEC-2026-1038
PYSEC-2026-3245
PYSEC-2026-3372
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