Varisicte matrix-gui 2.0 matrix-gui-2.0 shell_exect sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.9 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in Varisicte matrix-gui 2.0. Affected is an unknown function of the file \www\pages\matrix-gui-2.0. This manipulation of the argument shell_exect causes sql injection. This vulnerability is registered as CVE-2023-26922. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability was found in Varisicte matrix-gui 2.0. It has been declared as critical. Affected by this vulnerability is some unknown functionality of the file \www\pages\matrix-gui-2.0. The manipulation of the argument shell_exect with an unknown input leads to a sql injection vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
SQL injection vulnerability found in Varisicte matrix-gui v.2 allows a remote attacker to execute arbitrary code via the shell_exect parameter to the \www\pages\matrix-gui-2.0 endpoint.
The weakness was published 03/08/2023. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2023-26922 since 02/27/2023. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
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 EUVD (EUVD-2023-30713). 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: 8.0VulDB Meta Temp Score: 7.9
VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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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: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
02/27/2023 🔍03/08/2023 🔍
03/08/2023 🔍
11/12/2025 🔍
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2023-26922 (🔍)
GCVE (CVE): GCVE-0-2023-26922
GCVE (VulDB): GCVE-100-222595
EUVD: 🔍
Entry
Created: 03/08/2023 18:58Updated: 11/12/2025 18:08
Changes: 03/08/2023 18:58 (39), 04/01/2023 19:18 (11), 11/12/2025 18:08 (16)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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