CVE-2016-5004
Apache Archiva HTTP Chunk Bomb Vulnerability
Description
The Content-Encoding HTTP header feature in ws-xmlrpc 3.1.3 as used in Apache Archiva allows remote attackers to cause a denial of service (resource consumption) by decompressing a large file containing zeroes.
INFO
Published Date :
June 6, 2017, 6:29 p.m.
Last Modified :
June 16, 2017, 1:06 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
3.6
Exploitability Score :
2.8
Public PoC/Exploit Available at Github
CVE-2016-5004 has a 4 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-2016-5004
.
URL | Resource |
---|---|
http://www.openwall.com/lists/oss-security/2016/07/12/5 | Mailing List Third Party Advisory |
http://www.securityfocus.com/bid/91736 | Third Party Advisory VDB Entry |
http://www.securitytracker.com/id/1036294 | Third Party Advisory |
https://0ang3el.blogspot.in/2016/07/beware-of-ws-xmlrpc-library-in-your.html | Third Party Advisory |
https://github.com/0ang3el/unsafe-xmlrpc | Exploit 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).
None
Compiled dataset of Java deserialization CVEs
java-deserialization deserialization cve security
https://github.com/GrrrDog/Java-Deserialization-Cheat-Sheet
The cheat sheet about Java Deserialization vulnerabilities
javadeser java-deserialization pentesting
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2016-5004
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2016-5004
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 [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Jun. 16, 2017
Action Type Old Value New Value Added CVSS V2 (AV:N/AC:M/Au:N/C:N/I:N/A:P) Added CVSS V3 AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H Changed Reference Type http://www.openwall.com/lists/oss-security/2016/07/12/5 No Types Assigned http://www.openwall.com/lists/oss-security/2016/07/12/5 Mailing List, Third Party Advisory Changed Reference Type https://0ang3el.blogspot.in/2016/07/beware-of-ws-xmlrpc-library-in-your.html No Types Assigned https://0ang3el.blogspot.in/2016/07/beware-of-ws-xmlrpc-library-in-your.html Third Party Advisory Changed Reference Type http://www.securitytracker.com/id/1036294 No Types Assigned http://www.securitytracker.com/id/1036294 Third Party Advisory Changed Reference Type http://www.securityfocus.com/bid/91736 No Types Assigned http://www.securityfocus.com/bid/91736 Third Party Advisory, VDB Entry Changed Reference Type https://github.com/0ang3el/unsafe-xmlrpc No Types Assigned https://github.com/0ang3el/unsafe-xmlrpc Exploit, Third Party Advisory Added CWE CWE-400 Added CPE Configuration OR *cpe:2.3:a:apache:ws-xmlrpc:3.1.3:*:*:*:*:*:*:*
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2016-5004
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-2016-5004
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.22 }} 0.00%
score
0.57920
percentile