PT-2022-26120 · Google · Tensorflow

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CVE-2022-41889

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Published

2022-11-18

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Updated

2026-07-13

CVSS v3.1

5.5

Medium

VectorAV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.11 TensorFlow versions 2.10.1 and earlier TensorFlow versions 2.9.3 and earlier TensorFlow versions 2.8.4 and earlier
Description TensorFlow is an open source platform for machine learning. If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a nullptr, which is not caught. An example can be seen in tf.compat.v1.extract volume patches by passing in quantized tensors as input ksizes.
Recommendations For versions prior to 2.11, update to TensorFlow 2.11 or later. For versions 2.10.1 and earlier, update to TensorFlow 2.10.1 or later. For versions 2.9.3 and earlier, update to TensorFlow 2.9.3 or later. For versions 2.8.4 and earlier, update to TensorFlow 2.8.4 or later. As a temporary workaround, consider avoiding the use of quantized tensors as input ksizes in tf.compat.v1.extract volume patches until a patch is available.

Exploit

Fix

NULL Pointer Dereference

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Weakness Enumeration

Related Identifiers

AZL-11528
BIT-TENSORFLOW-2022-41889
CVE-2022-41889
GHSA-XXCJ-RHQG-M46G
PYSEC-2026-1050
PYSEC-2026-3262
PYSEC-2026-3384

Affected Products

Tensorflow