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CVE Vulnerability Database
Vulnerability Database/CVE-2026-6165

CVE-2026-6165: Vehicle Showroom Management System SQLi

CVE-2026-6165 is a SQL injection vulnerability in Vehicle Showroom Management System 1.0 affecting the /util/Login_check.php file. This article covers the technical details, affected versions, and mitigation strategies.

Published: April 17, 2026

CVE-2026-6165 Overview

A SQL injection vulnerability has been identified in code-projects Vehicle Showroom Management System 1.0. This vulnerability affects unknown code of the file /util/Login_check.php. Executing a manipulation of the argument ID can lead to SQL injection. The attack can be launched remotely. The exploit has been made available to the public and could be used for attacks.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive data, or potentially modify database contents in the Vehicle Showroom Management System.

Affected Products

  • code-projects Vehicle Showroom Management System 1.0
  • /util/Login_check.php component

Discovery Timeline

  • April 13, 2026 - CVE-2026-6165 published to NVD
  • April 13, 2026 - Last updated in NVD database

Technical Details for CVE-2026-6165

Vulnerability Analysis

This vulnerability is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), commonly referred to as injection. The affected component is the Login_check.php file within the /util/ directory of the Vehicle Showroom Management System application.

The vulnerability exists due to insufficient input validation and sanitization of the ID parameter before it is used in SQL queries. When user-supplied input is directly concatenated into SQL statements without proper escaping or parameterization, attackers can inject malicious SQL code that alters the intended query logic.

This type of SQL injection vulnerability in authentication-related components is particularly dangerous as it may allow attackers to bypass login mechanisms, access administrative functionality, or extract user credentials from the underlying database.

Root Cause

The root cause of this vulnerability is improper input validation in the Login_check.php file. The ID parameter is not properly sanitized or parameterized before being used in database queries. This allows attackers to inject arbitrary SQL commands through the ID parameter, potentially compromising the integrity and confidentiality of the database.

Attack Vector

The attack can be executed remotely over the network without requiring authentication. An attacker can craft malicious HTTP requests containing SQL injection payloads in the ID parameter. The vulnerable endpoint processes these requests and executes the injected SQL commands against the backend database.

Typical exploitation scenarios include:

  • Authentication bypass by manipulating login query logic
  • Data exfiltration through UNION-based or blind SQL injection techniques
  • Database enumeration to discover table structures and sensitive information
  • Potential privilege escalation if database permissions are misconfigured

For detailed technical information about the exploitation method, refer to the GitHub CVE Issue Tracker and VulDB Vulnerability #357053.

Detection Methods for CVE-2026-6165

Indicators of Compromise

  • Unusual or malformed requests to /util/Login_check.php containing SQL syntax characters such as single quotes, double dashes, or UNION keywords
  • Database error messages appearing in HTTP responses indicating failed SQL queries
  • Unexpected database query patterns in database logs showing injection attempts
  • Authentication anomalies where users are logged in without valid credentials

Detection Strategies

  • Implement web application firewall (WAF) rules to detect SQL injection patterns in the ID parameter
  • Monitor HTTP access logs for requests to Login_check.php containing suspicious characters or SQL keywords
  • Deploy database activity monitoring to identify unusual query patterns or unauthorized data access
  • Use intrusion detection systems (IDS) with signatures for common SQL injection attack patterns

Monitoring Recommendations

  • Enable detailed logging on the web server for all requests to the /util/ directory
  • Configure database audit logging to capture all queries executed against the application database
  • Set up alerting for failed authentication attempts that may indicate exploitation attempts
  • Monitor for outbound data transfers that could indicate successful data exfiltration

How to Mitigate CVE-2026-6165

Immediate Actions Required

  • Restrict network access to the Vehicle Showroom Management System to trusted IP addresses only
  • Implement input validation on the ID parameter to allow only expected numeric values
  • Deploy a web application firewall (WAF) with SQL injection protection rules
  • Review and audit database permissions to ensure principle of least privilege

Patch Information

No official vendor patch information is currently available for this vulnerability. Organizations should check the Code Projects Security Resources for any updates or patches released by the vendor. In the absence of an official patch, implementing the workarounds and mitigations described below is strongly recommended.

Additional technical details can be found in the VulDB submission and VulDB CTI analysis.

Workarounds

  • Use prepared statements with parameterized queries in the Login_check.php file to prevent SQL injection
  • Implement server-side input validation to reject any ID values containing non-alphanumeric characters
  • Consider disabling or restricting access to the vulnerable endpoint until a proper fix is implemented
  • Apply network segmentation to isolate the application from critical database systems
bash
# Example WAF rule to block SQL injection attempts (ModSecurity)
SecRule ARGS:ID "@rx (?i)(\b(union|select|insert|update|delete|drop|exec|execute)\b|--|;|')" \
    "id:100001,phase:2,deny,status:403,msg:'SQL Injection attempt detected in ID parameter'"

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechCode Projects

  • SeverityMEDIUM

  • CVSS Score6.9

  • EPSS Probability0.03%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityLow
  • CWE References
  • CWE-74
  • Technical References
  • Code Projects Security Resources

  • GitHub CVE Issue Tracker

  • VulDB Submission ID #797090

  • VulDB Vulnerability #357053

  • VulDB CTI for #357053
  • Related CVEs
  • CVE-2026-7131: Online Lot Reservation System SQLi Flaw

  • CVE-2026-7070: Inventory Management System SQLi Flaw

  • CVE-2026-7063: Employee Management System SQLi Vulnerability

  • CVE-2026-6182: Simple CMS 1.0 SQL Injection Vulnerability
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