CVE-2026-14735: SQL Injection in code-projects Smart Parking System
A vulnerability has been found in code-projects Smart Parking System 1.0. The affected element is an unknown function of the file /parkings/parkings.php. Such manipulation of the argument street/city/status leads to sql injection. The attack can be executed remotely. The exploit has been disclosed to the public and may be used.
AI Analysis
Technical Summary
This vulnerability affects code-projects Smart Parking System 1.0. It arises from improper sanitization of input parameters (street, city, status) in a function located in /parkings/parkings.php, allowing an attacker to perform SQL injection remotely without any privileges or user interaction. The vulnerability has a CVSS 4.0 base score of 6.9 (medium severity) indicating that exploitation is feasible over the network and can compromise data confidentiality, integrity, and availability to a limited extent. No vendor-provided patch or official remediation is currently documented.
Potential Impact
Successful exploitation of this SQL injection vulnerability could allow an attacker to execute arbitrary SQL commands on the backend database. This may lead to unauthorized data access, modification, or deletion. The vulnerability impacts data confidentiality, integrity, and availability with limited scope and impact as indicated by the CVSS vector. There is no evidence of active exploitation in the wild at this time.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, users should consider applying input validation and parameterized queries as temporary mitigations if possible. Monitor vendor channels for updates and patches addressing this vulnerability.
CVE-2026-14735: SQL Injection in code-projects Smart Parking System
Description
A vulnerability has been found in code-projects Smart Parking System 1.0. The affected element is an unknown function of the file /parkings/parkings.php. Such manipulation of the argument street/city/status leads to sql injection. The attack can be executed remotely. The exploit has been disclosed to the public and may be used.
CVSS v4.0
Score 6.9medium
Affected software
cpe:2.3:a:code-projects:smart_parking_system:*:*:*:*:*:*:*:*AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability affects code-projects Smart Parking System 1.0. It arises from improper sanitization of input parameters (street, city, status) in a function located in /parkings/parkings.php, allowing an attacker to perform SQL injection remotely without any privileges or user interaction. The vulnerability has a CVSS 4.0 base score of 6.9 (medium severity) indicating that exploitation is feasible over the network and can compromise data confidentiality, integrity, and availability to a limited extent. No vendor-provided patch or official remediation is currently documented.
Potential Impact
Successful exploitation of this SQL injection vulnerability could allow an attacker to execute arbitrary SQL commands on the backend database. This may lead to unauthorized data access, modification, or deletion. The vulnerability impacts data confidentiality, integrity, and availability with limited scope and impact as indicated by the CVSS vector. There is no evidence of active exploitation in the wild at this time.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, users should consider applying input validation and parameterized queries as temporary mitigations if possible. Monitor vendor channels for updates and patches addressing this vulnerability.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2026-07-04T08:56:35.237Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a4a2cde27e9c797199f5168
Added to database: 07/05/2026, 10:07:26 UTC
Last enriched: 07/13/2026, 08:50:27 UTC
Last updated: 08/19/2026, 10:57:07 UTC
Views: 119
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