PT-2022-23104

CVE-2022-36005

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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 occurs when tf.quantization.fake quant with min max vars gradient receives input min or max that is nonscalar, resulting in a CHECK fail that can trigger a denial of service attack. There are no known workarounds for this issue.
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 tf.quantization.fake quant with min max vars gradient with nonscalar min or max inputs until a patch is available.
Exploitability
Exploit
Fix
Impacts
Vendors
Affected products
Weakness enumeration
Related identifiers
GHSA-R26C-679W-MRJM
BIT-TENSORFLOW-2022-36005
OPENSUSE-SU-2024:12355-1
PYSEC-2026-1031
PYSEC-2026-3234
PYSEC-2026-3364
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