glFusion 1.1.0/1.1.1 lib-comment.php Username cross site scripting

CVSS Meta Temp Score
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CTI Interest Score
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4.1$0-$5k0.00

Summaryinfo

A vulnerability classified as problematic has been found in glFusion 1.1.0/1.1.1. Affected by this issue is some unknown functionality of the file lib-comment.php. This manipulation of the argument Username causes cross site scripting. This vulnerability is registered as CVE-2009-0455. Remote exploitation of the attack is possible. Furthermore, an exploit is available.

Detailsinfo

A vulnerability was found in glFusion 1.1.0/1.1.1. It has been declared as problematic. Affected by this vulnerability is some unknown processing of the file lib-comment.php. The manipulation of the argument username with an unknown input leads to a cross site scripting vulnerability. The CWE definition for the vulnerability is CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. As an impact it is known to affect integrity. The summary by CVE is:

Cross-site scripting (XSS) vulnerability in the anonymous comments feature in lib-comment.php in glFusion 1.1.0, 1.1.1, and earlier versions allows remote attackers to inject arbitrary web script or HTML via the username parameter to comment.php.

The weakness was published 02/10/2009 with FortConsult (Website). The advisory is shared at securityfocus.com. This vulnerability is known as CVE-2009-0455 since 02/05/2009. The exploitation appears to be difficult. The attack can be launched remotely. The exploitation doesn't need any form of authentication. It demands that the victim is doing some kind of user interaction. Technical details and also a public exploit are known. MITRE ATT&CK project uses the attack technique T1059.007 for this issue.

It is possible to download the exploit at exploit-db.com. It is declared as highly functional. By approaching the search of inurl:lib-comment.php it is possible to find vulnerable targets with Google Hacking.

The vulnerability is also documented in the databases at X-Force (48603), Exploit-DB (32784), SecurityFocus (BID 33683†) and Secunia (SA33878†). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.3
VulDB Meta Temp Score: 4.1

VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Cross site scripting
CWE: CWE-79 / CWE-94 / CWE-74
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Access: Public
Status: Highly functional
Download: 🔍
Google Hack: 🔍

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Exploit-DB: 🔍

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

02/05/2009 🔍
02/05/2009 +0 days 🔍
02/08/2009 +3 days 🔍
02/10/2009 +1 days 🔍
02/10/2009 +0 days 🔍
03/17/2015 +2226 days 🔍
05/25/2025 +3722 days 🔍

Sourcesinfo

Advisory: securityfocus.com⛔
Organization: FortConsult
Status: Confirmed
Confirmation: 🔍

CVE: CVE-2009-0455 (🔍)
GCVE (CVE): GCVE-0-2009-0455
GCVE (VulDB): GCVE-100-46465
X-Force: 48603 - glFusion lib-comment.php cross-site scripting
SecurityFocus: 33683 - glFusion Anonymous Comment 'username' Field HTML Injection Vulnerability
Secunia: 33878 - glFusion "username" Script Insertion Vulnerability, Moderately Critical

scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 03/17/2015 16:11
Updated: 05/25/2025 20:16
Changes: 03/17/2015 16:11 (54), 10/27/2018 04:59 (7), 05/25/2025 20:16 (18)
Complete: 🔍
Cache ID: 216:187:103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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