PT-2022-23068

CVE-2022-35969

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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 implementation of Conv2DBackpropInput requires input sizes to be 4-dimensional. Otherwise, it gives a CHECK failure which 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 validating the dimensions of input sizes before passing it to Conv2DBackpropInput to prevent the CHECK failure.
Exploitability
Exploit
Fix
Impacts
Vendors
Affected products
Weakness enumeration
Related identifiers
GHSA-Q2C3-JPMC-GFJX
BIT-TENSORFLOW-2022-35969
OPENSUSE-SU-2024:12355-1
PYSEC-2026-1028
PYSEC-2026-3227
PYSEC-2026-3360
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