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CVE Vulnerability Database
Vulnerability Database/CVE-2026-36943

CVE-2026-36943: Repair Shop Management System SQLi Flaw

CVE-2026-36943 is a SQL injection vulnerability in Sourcecodester Computer and Mobile Repair Shop Management System v1.0 affecting manage_repair.php. This article covers technical details, affected versions, and mitigation.

Published: April 17, 2026

CVE-2026-36943 Overview

Sourcecodester Computer and Mobile Repair Shop Management System v1.0 is vulnerable to SQL injection in the file /rsms/admin/repairs/manage_repair.php. This vulnerability allows authenticated attackers with administrative privileges to inject malicious SQL queries through the affected endpoint, potentially extracting sensitive information from the database.

Critical Impact

Authenticated attackers with high privileges can exploit this SQL injection vulnerability to read sensitive data from the database, potentially compromising customer information, repair records, and system credentials.

Affected Products

  • Sourcecodester Computer and Mobile Repair Shop Management System v1.0

Discovery Timeline

  • 2026-04-13 - CVE CVE-2026-36943 published to NVD
  • 2026-04-13 - Last updated in NVD database

Technical Details for CVE-2026-36943

Vulnerability Analysis

This vulnerability is classified as CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection). The affected endpoint /rsms/admin/repairs/manage_repair.php fails to properly sanitize user-supplied input before incorporating it into SQL queries. While the vulnerability requires high privileges (administrative access) to exploit, it still poses a risk of unauthorized data access within the application's database.

The attack can be performed remotely over the network without any user interaction required. Due to the requirement for administrative privileges, the scope of potential attackers is limited, but compromised admin accounts or malicious insiders could leverage this flaw.

Root Cause

The root cause of this vulnerability lies in inadequate input validation and sanitization within the manage_repair.php file. User-controlled parameters are directly concatenated or interpolated into SQL query strings without proper parameterization or escaping. This allows attackers to break out of the intended query context and execute arbitrary SQL commands.

Attack Vector

The attack is network-based and targets the administrative interface of the repair shop management system. An attacker with valid administrative credentials can craft malicious HTTP requests containing SQL injection payloads directed at the /rsms/admin/repairs/manage_repair.php endpoint. The injected SQL commands execute with the privileges of the database user configured for the application.

The vulnerability allows for data extraction (confidentiality impact) but does not appear to enable data modification or system availability disruption based on the current assessment. Typical exploitation would involve techniques such as UNION-based injection, blind SQL injection, or error-based extraction to enumerate database contents.

For detailed technical analysis and proof of concept, refer to the GitHub Bug Report for SQL Injection.

Detection Methods for CVE-2026-36943

Indicators of Compromise

  • Unusual SQL error messages in web server logs originating from /rsms/admin/repairs/manage_repair.php
  • HTTP requests to the affected endpoint containing SQL metacharacters such as single quotes, UNION keywords, or comment sequences
  • Database query logs showing unexpected SELECT statements or information schema queries
  • Administrative session activity from unusual IP addresses or outside normal business hours

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in requests to administrative endpoints
  • Enable detailed logging for the /rsms/admin/repairs/ directory and monitor for anomalous request patterns
  • Configure database audit logging to track queries executed against sensitive tables
  • Deploy application-layer intrusion detection to identify SQL injection attempt signatures

Monitoring Recommendations

  • Monitor authentication logs for administrative account activity and failed login attempts
  • Set up alerts for database queries accessing system tables or information_schema
  • Review web server access logs regularly for requests containing encoded SQL injection payloads
  • Track data export volume from the application database to detect potential data exfiltration

How to Mitigate CVE-2026-36943

Immediate Actions Required

  • Restrict network access to the administrative interface to trusted IP addresses only
  • Audit administrative user accounts and disable any unnecessary or suspicious accounts
  • Implement additional authentication factors for administrative access if possible
  • Deploy a Web Application Firewall with SQL injection protection rules

Patch Information

As of the last update on 2026-04-13, no official patch has been released by Sourcecodester for this vulnerability. Administrators should monitor the vendor's official channels and the GitHub Bug Report for updates. In the absence of an official patch, consider implementing code-level fixes by using prepared statements with parameterized queries in the affected manage_repair.php file.

Workarounds

  • Implement prepared statements and parameterized queries in the affected PHP file to prevent SQL injection
  • Add server-side input validation to sanitize all user inputs before database operations
  • Use a Web Application Firewall to filter malicious SQL injection payloads
  • Limit database user privileges to the minimum required for application functionality
bash
# Configuration example - Apache .htaccess to restrict admin access by IP
<Directory "/var/www/html/rsms/admin">
    Order Deny,Allow
    Deny from all
    Allow from 192.168.1.0/24
    Allow from 10.0.0.0/8
</Directory>

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechSourcecodester

  • SeverityLOW

  • CVSS Score2.7

  • EPSS Probability0.02%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:N/A:N
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-89
  • Technical References
  • GitHub Bug Report for SQL Injection
  • Related CVEs
  • CVE-2026-7293: Pizzafy Ecommerce System SQLi Vulnerability

  • CVE-2026-7226: Pizzafy Ecommerce System SQLi Vulnerability

  • CVE-2026-37342: Vehicle Parking Management System SQLi

  • CVE-2026-37597: Employees Work From Home System SQLi Flaw
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