CVE-2022-23563
TensorFlow Temporary File Creation Directory Traversal
Description
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.
INFO
Published Date :
Feb. 4, 2022, 11:15 p.m.
Last Modified :
July 13, 2023, 2:28 p.m.
Source :
[email protected]
Remotely Exploitable :
No
Impact Score :
5.2
Exploitability Score :
1.8
Public PoC/Exploit Available at Github
CVE-2022-23563 has a 1 public PoC/Exploit available at Github.
Go to the Public Exploits tab to see the list.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2022-23563.
| URL | Resource |
|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wc4g-r73w-x8mm | Third Party Advisory |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
test 反向辣鸡数据投放 CVE-2022-23305 工具 利用 教程 Exploit POC
cve-2020-
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2022-23563 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2022-23563 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
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CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Reanalysis by [email protected]
Jul. 13, 2023
Action Type Old Value New Value Removed CWE NIST CWE-668 -
Initial Analysis by [email protected]
Feb. 09, 2022
Action Type Old Value New Value Added CVSS V2 NIST (AV:L/AC:M/Au:N/C:P/I:P/A:N) Added CVSS V3.1 NIST AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:N Changed Reference Type https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wc4g-r73w-x8mm No Types Assigned https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wc4g-r73w-x8mm Third Party Advisory Added CWE NIST CWE-668 Added CWE NIST CWE-367 Added CPE Configuration OR *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions up to (including) 2.5.2 *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions from (including) 2.6.0 up to (including) 2.6.2 *cpe:2.3:a:google:tensorflow:2.7.0:*:*:*:*:*:*:*
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2022-23563 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2022-23563
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.04 }} -0.00%
score
0.05686
percentile