CVE-2023-43622
Apache HTTP Server HTTP/2 Slow Loris Denial of Service
Description
An attacker, opening a HTTP/2 connection with an initial window size of 0, was able to block handling of that connection indefinitely in Apache HTTP Server. This could be used to exhaust worker resources in the server, similar to the well known "slow loris" attack pattern. This has been fixed in version 2.4.58, so that such connection are terminated properly after the configured connection timeout. This issue affects Apache HTTP Server: from 2.4.55 through 2.4.57. Users are recommended to upgrade to version 2.4.58, which fixes the issue.
INFO
Published Date :
Oct. 23, 2023, 7:15 a.m.
Last Modified :
Nov. 21, 2024, 8:24 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
3.6
Exploitability Score :
3.9
Public PoC/Exploit Available at Github
CVE-2023-43622 has a 3 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-2023-43622
.
URL | Resource |
---|---|
https://httpd.apache.org/security/vulnerabilities_24.html | Vendor Advisory |
https://security.netapp.com/advisory/ntap-20231027-0011/ | Third Party Advisory |
https://httpd.apache.org/security/vulnerabilities_24.html | Vendor Advisory |
https://security.netapp.com/advisory/ntap-20231027-0011/ | 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).
Apache Web Server Vulnerabilities list
apache cve vulnerabilities
CVE-2023–43622
Python
None
Dockerfile Makefile Go
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2023-43622
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2023-43622
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.
-
CVE Modified by af854a3a-2127-422b-91ae-364da2661108
Nov. 21, 2024
Action Type Old Value New Value Added Reference https://httpd.apache.org/security/vulnerabilities_24.html Added Reference https://security.netapp.com/advisory/ntap-20231027-0011/ -
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Nov. 01, 2023
Action Type Old Value New Value Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H Changed Reference Type https://httpd.apache.org/security/vulnerabilities_24.html No Types Assigned https://httpd.apache.org/security/vulnerabilities_24.html Vendor Advisory Changed Reference Type https://security.netapp.com/advisory/ntap-20231027-0011/ No Types Assigned https://security.netapp.com/advisory/ntap-20231027-0011/ Third Party Advisory Added CPE Configuration OR *cpe:2.3:a:apache:http_server:*:*:*:*:*:*:*:* versions from (including) 2.4.55 up to (excluding) 2.4.58 -
CVE Modified by [email protected]
Oct. 27, 2023
Action Type Old Value New Value Added Reference https://security.netapp.com/advisory/ntap-20231027-0011/ [No Types Assigned]
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2023-43622
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-2023-43622
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.13 }} 0.01%
score
0.48690
percentile