CVE-2022-23573

HIGH

TensorFlow < 2.5.3 - Use of Uninitialized Resource in AssignOp

Title source: llm
STIX 2.1

Description

Tensorflow is an Open Source Machine Learning Framework. The implementation of `AssignOp` can result in copying uninitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized (to minimize number of allocations), but does not check that the right hand side is also initialized. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Scores

CVSS v3 7.6
EPSS 0.0074
EPSS Percentile 49.8%
Attack Vector NETWORK
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H

CISA SSVC

Vulnrichment
Exploitation poc
Automatable no
Technical Impact partial

Details

CWE
CWE-908
Status published
Products (5)
google/tensorflow 2.7.0
google/tensorflow < 2.5.2
pypi/tensorflow 0 - 2.5.3PyPI
pypi/tensorflow-cpu 0 - 2.5.3PyPI
pypi/tensorflow-gpu 0 - 2.5.3PyPI
Published Feb 04, 2022
Tracked Since Feb 18, 2026