Vulnerability Details : CVE-2022-23573

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.
Published 2022-02-04 23:15:14
Updated 2022-02-10 15:32:43
Source GitHub, Inc.
View at NVD,   CVE.org

Products affected by CVE-2022-23573

Exploit prediction scoring system (EPSS) score for CVE-2022-23573

EPSS FAQ
0.29%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 69 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2022-23573

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
6.5
 MEDIUM AV:N/AC:L/Au:S/C:P/I:P/A:P
8.0
6.4
 NIST
8.8
 HIGH CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
2.8
5.9
 NIST
7.6
 HIGH CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H
2.8
4.7
 GitHub, Inc.

CWE ids for CVE-2022-23573

References for CVE-2022-23573

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