Jikaka Teams Structure module 3.0 team.php team_id sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.1 | $0-$5k | 0.00 |
Summary
A vulnerability classified as critical has been found in Jikaka Teams Structure module 3.0. The impacted element is an unknown function of the file team.php. The manipulation of the argument team_id leads to sql injection. This vulnerability is referenced as CVE-2011-0512. Remote exploitation of the attack is possible. Furthermore, an exploit is available.
Details
A vulnerability was found in Jikaka Teams Structure module 3.0. It has been rated as critical. This issue affects some unknown processing of the file team.php. The manipulation of the argument team_id with an unknown input leads to a sql injection vulnerability. Using CWE to declare the problem leads to CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
SQL injection vulnerability in team.php in the Teams Structure module 3.0 for PHP-Fusion allows remote attackers to execute arbitrary SQL commands via the team_id parameter.
The weakness was published 01/17/2011 by Saif El-Sherei (Website). It is possible to read the advisory at exploit-db.com. The identification of this vulnerability is CVE-2011-0512 since 01/20/2011. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details as well as a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
After immediately, there has been an exploit disclosed. The exploit is available at exploit-db.com. It is declared as highly functional. By approaching the search of inurl:team.php it is possible to find vulnerable targets with Google Hacking.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the databases at X-Force (64727), Exploit-DB (16004), SecurityFocus (BID 45826†), OSVDB (70451†) and Secunia (SA42943†). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.3VulDB Meta Temp Score: 7.1
VulDB Base Score: 7.3
VulDB Temp Score: 7.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔍
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Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Access: Public
Status: Highly functional
Download: 🔍
Google Hack: 🔍
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OpenVAS ID: 902366
OpenVAS Name: PHP-Fusion Teams Structure Module team_id SQL Injection Vulnerability
OpenVAS File: 🔍
OpenVAS Family: 🔍
Exploit-DB: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Exploit Delay Time: 🔍
Timeline
01/17/2011 🔍01/17/2011 🔍
01/17/2011 🔍
01/17/2011 🔍
01/17/2011 🔍
01/20/2011 🔍
01/20/2011 🔍
03/19/2015 🔍
01/01/2025 🔍
Sources
Advisory: exploit-db.comResearcher: Saif El-Sherei
Status: Not defined
CVE: CVE-2011-0512 (🔍)
GCVE (CVE): GCVE-0-2011-0512
GCVE (VulDB): GCVE-100-56195
X-Force: 64727 - Teams Structure module for PHP-Fusion SQL injection
SecurityFocus: 45826 - PHP-Fusion Teams Structure Module SQL Injection Vulnerability
Secunia: 42943 - PHP-Fusion Teams Structure Module "team_id" SQL Injection Vulnerability, Moderately Critical
OSVDB: 70451 - Teams Structure Module for PHP-Fusion team.php team_id Parameter SQL Injection
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 03/19/2015 23:27Updated: 01/01/2025 14:00
Changes: 03/19/2015 23:27 (64), 01/08/2018 07:52 (7), 01/01/2025 14:00 (16)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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