2Glux Com Sexypolling up to 0.9.5 vote.php answer_id[] sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.6 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in 2Glux Com Sexypolling up to 0.9.5. This issue affects some unknown processing of the file vote.php. Performing a manipulation of the argument answer_id[] results in sql injection. This vulnerability is reported as CVE-2013-7219. The attack is possible to be carried out remotely. Moreover, an exploit is present. It is suggested to upgrade the affected component.
Details
A vulnerability was found in 2Glux Com Sexypolling up to 0.9.5. It has been classified as critical. This affects an unknown code of the file vote.php. The manipulation of the argument answer_id[] with an unknown input leads to a sql injection vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
SQL injection vulnerability in vote.php in the 2Glux Sexy Polling (com_sexypolling) component before 1.0.9 for Joomla! allows remote attackers to execute arbitrary SQL commands via the answer_id[] parameter.
The weakness was disclosed 01/21/2014 (Website). It is possible to read the advisory at htbridge.com. This vulnerability is uniquely identified as CVE-2013-7219. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details and a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
The exploit is shared for download at exploit-db.com. It is declared as proof-of-concept. By approaching the search of inurl:vote.php it is possible to find vulnerable targets with Google Hacking. The commercial vulnerability scanner Qualys is able to test this issue with plugin 12835 (Joomla! Sexy Polling Extension "answer_id" Parameter SQL Injection Vulnerability).
Upgrading to version 0.9.6 eliminates this vulnerability.
The vulnerability is also documented in the databases at X-Force (90519), Exploit-DB (39028), SecurityFocus (BID 64991†) and Vulnerability Center (SBV-45107†). 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: 6.6
VulDB Base Score: 7.3
VulDB Temp Score: 6.6
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔍
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NVD Base Score: 🔍
Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍
Google Hack: 🔍
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Qualys ID: 🔍
Qualys Name: 🔍
Exploit-DB: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: Com Sexypolling 0.9.6
Timeline
12/27/2013 🔍01/16/2014 🔍
01/16/2014 🔍
01/21/2014 🔍
01/21/2014 🔍
06/24/2014 🔍
03/24/2015 🔍
01/16/2025 🔍
Sources
Advisory: htbridge.comStatus: Confirmed
Confirmation: 🔍
CVE: CVE-2013-7219 (🔍)
GCVE (CVE): GCVE-0-2013-7219
GCVE (VulDB): GCVE-100-66147
X-Force: 90519
SecurityFocus: 64991 - Joomla! Sexy Polling Extension 'answer_id' Parameter SQL Injection Vulnerability
Vulnerability Center: 45107 - 2Glux Sexy Polling for Joomla! Remote SQL Injection Vulnerability via the answer_id[] Parameter, Medium
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 03/24/2015 15:54Updated: 01/16/2025 12:15
Changes: 03/24/2015 15:54 (57), 05/31/2017 09:04 (3), 01/31/2022 14:37 (3), 12/22/2024 21:09 (18), 01/16/2025 12:15 (11)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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