CVE-2010-2075
UnrealIRCd Trojan Command Execution
Description
UnrealIRCd 3.2.8.1, as distributed on certain mirror sites from November 2009 through June 2010, contains an externally introduced modification (Trojan Horse) in the DEBUG3_DOLOG_SYSTEM macro, which allows remote attackers to execute arbitrary commands.
INFO
Published Date :
June 15, 2010, 2:04 p.m.
Last Modified :
April 11, 2025, 12:51 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
6.4
Exploitability Score :
10.0
Public PoC/Exploit Available at Github
CVE-2010-2075 has a 27 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-2010-2075
.
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
None
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I recently set up a small Penetration Testing Lab to get some hands-on experience with vulnerability scanning and exploitation. Using Nessus and Kali Linux, I was able to dive into Metasploitable 2, a deliberately vulnerable system, and identify a pretty serious flaw (CVE-2010-2075).
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"Walkthrough for Metasploitable-2"
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The Metasploit Framework with a focus on using the Metasploit RPC service (msgrpc) to exploit a specific vulnerability in the UnrealIRCd 3.2.8.1 backdoor
Python
The UnrealIRCd 3.2.8.1 Backdoor is associated with CVE-2010-2075, a well-known vulnerability that was introduced when the source code of the UnrealIRCd software was compromised.
Python
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Python
Script that exploits the vulnerability that allows establishing a backdoor in the UnrealIRCd service with CVE-2010-2075
Python
UnrealIRCD 3.2.8.1 RCE
Python
None
Python
Exploit for CVE:2010-2075. This exploit allows remote command execution in UnrealIRCd 3.2.8.1.
Python
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2010-2075
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2010-2075
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 af854a3a-2127-422b-91ae-364da2661108
Nov. 21, 2024
Action Type Old Value New Value Added Reference http://osvdb.org/65445 Added Reference http://seclists.org/fulldisclosure/2010/Jun/277 Added Reference http://seclists.org/fulldisclosure/2010/Jun/284 Added Reference http://secunia.com/advisories/40169 Added Reference http://security.gentoo.org/glsa/glsa-201006-21.xml Added Reference http://www.exploit-db.com/exploits/13853 Added Reference http://www.openwall.com/lists/oss-security/2010/06/14/11 Added Reference http://www.securityfocus.com/bid/40820 Added Reference http://www.unrealircd.com/txt/unrealsecadvisory.20100612.txt Added Reference http://www.vupen.com/english/advisories/2010/1437 -
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Jun. 15, 2010
Action Type Old Value New Value
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2010-2075
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-2010-2075
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
61.32 }} -14.33%
score
0.98135
percentile