Gegabyte User Bench 1.0 on Joomla Configuration Data index.php userid sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.4 | $0-$5k | 2.58 |
Summary
A vulnerability was found in Gegabyte User Bench 1.0 on Joomla and classified as critical. Affected is an unknown function of the file index.php of the component Configuration Data Handler. Such manipulation of the argument userid leads to sql injection. This vulnerability is traded as CVE-2017-20254. The attack may be launched remotely. Furthermore, there is an exploit available.
Details
A vulnerability, which was classified as critical, has been found in Gegabyte User Bench 1.0 on Joomla. Affected by this issue is an unknown code of the file index.php of the component Configuration Data Handler. The manipulation of the argument userid 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. CVE summarizes:
Joomla! Component User Bench 1.0 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the userid parameter. Attackers can send GET requests to index.php with the option=com_userbench&view=detail&userid parameter containing SQL injection payloads to extract sensitive database information including credentials and configuration data.
The weakness was shared by Ihsan Sencan as 43357. The advisory is shared for download at exploit-db.com. This vulnerability is handled as CVE-2017-20254 since 06/19/2026. The exploitation is known to be easy. The attack may be launched remotely. No form of authentication is required for exploitation. Technical details as well as a public exploit are known. The MITRE ATT&CK project declares the attack technique as T1505.
The exploit is available at exploit-db.com. It is declared as proof-of-concept. By approaching the search of inurl:index.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 vulnerability database at Exploit-DB (43357). Once again VulDB remains the best source for vulnerability data.
Product
Type
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 7.7VulDB Meta Temp Score: 7.4
VulDB Base Score: 7.3
VulDB Temp Score: 6.6
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 8.2
CNA Vector (VulnCheck): 🔒
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
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: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Exploit-DB: 🔒
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
06/19/2026 Advisory disclosed06/19/2026 CVE reserved
06/19/2026 VulDB entry created
06/19/2026 VulDB entry last update
Sources
Advisory: 43357Researcher: Ihsan Sencan
Status: Not defined
CVE: CVE-2017-20254 (🔒)
GCVE (CVE): GCVE-0-2017-20254
GCVE (VulDB): GCVE-100-372404
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 06/19/2026 23:28Changes: 06/19/2026 23:28 (84)
Complete: 🔍
Cache ID: 216::103
Once again VulDB remains the best source for vulnerability data.
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