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CVE Vulnerability Database
Vulnerability Database/CVE-2026-7131

CVE-2026-7131: Online Lot Reservation System SQLi Flaw

CVE-2026-7131 is a SQL injection vulnerability in Online Lot Reservation System 1.0 affecting the loginuser.php file. Attackers can exploit email/password parameters remotely. This article covers technical details, impact, and mitigation.

Published: April 30, 2026

CVE-2026-7131 Overview

A SQL injection vulnerability has been discovered in code-projects Online Lot Reservation System up to version 1.0. The vulnerability exists in the /loginuser.php file, where the email and password parameters are not properly sanitized before being used in SQL queries. This allows remote attackers to manipulate database queries, potentially leading to unauthorized access, data theft, or complete database compromise.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive user data, or modify database contents without authorization. The exploit has been publicly disclosed.

Affected Products

  • code-projects Online Lot Reservation System version 1.0 and earlier
  • Systems running /loginuser.php login functionality

Discovery Timeline

  • 2026-04-27 - CVE-2026-7131 published to NVD
  • 2026-04-29 - Last updated in NVD database

Technical Details for CVE-2026-7131

Vulnerability Analysis

This vulnerability is classified as SQL Injection (CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component). The /loginuser.php file in the Online Lot Reservation System fails to properly sanitize user-supplied input in the email and password parameters before incorporating them into SQL queries.

When a user submits login credentials, the application constructs a SQL query using the raw input values. An attacker can craft malicious input containing SQL syntax that alters the intended query logic, allowing them to bypass authentication controls or extract data from the database.

The vulnerability is exploitable remotely over the network without requiring authentication or user interaction. Successful exploitation could result in unauthorized data access, data modification, or in some cases, command execution on the underlying database server.

Root Cause

The root cause of this vulnerability is improper input validation and the use of unsanitized user input directly in SQL queries. The application fails to implement parameterized queries or prepared statements, which would prevent user input from being interpreted as SQL code. Additionally, there is no input sanitization or encoding to neutralize special characters used in SQL injection attacks.

Attack Vector

The attack vector for this vulnerability is network-based, targeting the login functionality at /loginuser.php. An attacker can submit specially crafted values in the email or password fields that contain SQL injection payloads. Common attack techniques include:

  1. Authentication Bypass: Using payloads like ' OR '1'='1 in the email or password field to bypass login validation
  2. Union-Based Injection: Extracting additional data from the database by appending UNION SELECT statements
  3. Error-Based Extraction: Triggering database errors that reveal information about the database structure
  4. Blind SQL Injection: Inferring data through true/false conditions when direct output is not visible

The vulnerability requires no prior authentication and can be exploited by any remote attacker with network access to the application. For detailed technical information about this vulnerability, refer to the GitHub CVE Issue Tracker or the VulDB Vulnerability #359730.

Detection Methods for CVE-2026-7131

Indicators of Compromise

  • Unusual SQL error messages in application logs or HTTP responses containing database syntax errors
  • Abnormal login attempts with special characters (single quotes, double dashes, UNION keywords) in email or password fields
  • Database query logs showing malformed or suspicious SQL statements originating from the login page
  • Unexpected data extraction or mass data access patterns from the user database

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in HTTP POST requests to /loginuser.php
  • Configure application logging to capture and alert on failed login attempts containing SQL metacharacters
  • Deploy intrusion detection signatures for SQL injection attempt patterns in network traffic
  • Enable database auditing to monitor for anomalous query patterns or unauthorized data access

Monitoring Recommendations

  • Monitor HTTP request logs for /loginuser.php for payloads containing SQL injection indicators such as single quotes, comments (--), UNION keywords, or OR statements
  • Set up alerts for database errors or exceptions originating from the login authentication flow
  • Track failed authentication rates and investigate sudden spikes that may indicate automated injection testing
  • Review database query execution logs for queries with unexpected structure or content

How to Mitigate CVE-2026-7131

Immediate Actions Required

  • Deploy Web Application Firewall (WAF) rules to block SQL injection attempts targeting the /loginuser.php endpoint
  • If possible, restrict access to the vulnerable application until a patch can be applied
  • Implement input validation on the server side to reject email and password inputs containing SQL metacharacters
  • Enable detailed logging and monitoring for the affected endpoint to detect exploitation attempts

Patch Information

No official vendor patch has been released at the time of this publication. Organizations using the Online Lot Reservation System should monitor the Code Projects website for security updates. For additional vulnerability details, see the VulDB Submission #800978.

Workarounds

  • Implement parameterized queries or prepared statements in the /loginuser.php file to separate SQL code from user data
  • Apply strict input validation to reject special characters not expected in email addresses or passwords
  • Deploy a reverse proxy or WAF with SQL injection protection rules in front of the application
  • Consider implementing rate limiting on the login endpoint to slow down automated attack attempts
  • If the application source code is accessible, modify the login logic to use PHP PDO or MySQLi with prepared statements
bash
# WAF Configuration Example - ModSecurity Rule
# Add to modsecurity.conf to block SQL injection attempts on login page
SecRule REQUEST_URI "@contains /loginuser.php" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    chain"
    SecRule ARGS "@detectSQLi" \
        "log,\
        msg:'SQL Injection attempt blocked on loginuser.php'"

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 Score5.5

  • 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 Resource

  • GitHub CVE Issue Tracker

  • VulDB Submission #800978

  • VulDB Vulnerability #359730

  • VulDB CTI for #359730
  • Related CVEs
  • 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

  • CVE-2026-6036: Vehicle Showroom Management SQLi Flaw
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