CVE Vulnerability

CVE-2022-23563

Tensorflow is an Open Source Machine Learning Framework. In multiple places, TensorFlow uses `tempfile.mktemp` to create temporary files. While this is acceptable in testing, in utilities and libraries it is dangerous as a different process can create the file between the check for the filename in `mktemp` and the actual creation of the file by a subsequent operation (a TOC/TOU type of weakness). In several instances, TensorFlow was supposed to actually create a temporary directory instead of a file. This logic bug is hidden away by the `mktemp` function usage. We have patched the issue in several commits, replacing `mktemp` with the safer `mkstemp`/`mkdtemp` functions, according to the usage pattern. Users are advised to upgrade as soon as possible.

3.3 /10

CVSS v2.0 :

V3 Legend

Vector :

Exploitability : 3.4 / Impact : 4.9

Attack Vector

Attack Complexity

Privileges Required

User Interaction

Confidentiality Impact PARTIAL

Integrity Impact PARTIAL

Availability Impact NONE

Scope

6.3 /10

CVSS v3.0 : MEDIUM

V3 Legend

Vector :

Exploitability : 1 / Impact : 5.2

Attack Vector LOCAL

Attack Complexity HIGH

Privileges Required LOW

User Interaction NONE

Confidentiality Impact HIGH

Integrity Impact HIGH

Availability Impact NONE

Scope UNCHANGED

References
Link Resource
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wc4g-r73w-x8mm Third Party Advisory
Configurations

Configuration 1

cpe:2.3:a:google:tensorflow:2.7.0:*:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
Information

Published : 2022-02-04 11:15

Updated : 2022-02-09 06:30

NVD link : CVE-2022-23563

Mitre link : CVE-2022-23563

Products Affected
No products.
CWE
CWE-367

CWE-668