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CVE Vulnerability Database

CVE-2025-0950: Tailoring Management System SQLi Flaw

CVE-2025-0950 is a critical SQL injection vulnerability in Tailoring Management System 1.0 affecting staffview.php. Attackers can exploit the staffid parameter remotely. This article covers technical details, impact, and mitigation.

Published:

CVE-2025-0950 Overview

A critical SQL Injection vulnerability has been identified in itsourcecode Tailoring Management System 1.0. This issue affects the processing of the file staffview.php, where manipulation of the staffid argument leads to SQL injection. The attack can be initiated remotely by authenticated users, and the exploit has been publicly disclosed, increasing the risk of exploitation in the wild.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to manipulate database queries, potentially leading to unauthorized data access, data modification, or database compromise through the staffview.php endpoint.

Affected Products

  • Angeljudesuarez Tailoring Management System 1.0
  • itsourcecode Tailoring Management System (all installations using version 1.0)

Discovery Timeline

  • 2025-02-01 - CVE-2025-0950 published to NVD
  • 2025-04-18 - Last updated in NVD database

Technical Details for CVE-2025-0950

Vulnerability Analysis

This SQL Injection vulnerability (CWE-89) exists in the staffview.php file of the Tailoring Management System. The application fails to properly sanitize user-supplied input passed through the staffid parameter before incorporating it into SQL queries. This allows an attacker with low-level privileges to inject arbitrary SQL commands that are then executed by the database server.

The vulnerability is classified under both CWE-89 (SQL Injection) and CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), indicating that the root cause is inadequate input validation and output encoding. The attack can be performed remotely over the network without requiring user interaction.

Root Cause

The root cause of this vulnerability is improper input validation in the staffview.php file. The application directly incorporates the staffid parameter value into database queries without proper sanitization or parameterized query implementation. This lack of input validation allows special SQL characters and commands to be interpreted as part of the query structure rather than as data values.

Attack Vector

The vulnerability is exploitable over the network by authenticated users with low privileges. An attacker can craft malicious HTTP requests to the staffview.php endpoint, manipulating the staffid parameter to include SQL injection payloads. These payloads can be used to:

  • Extract sensitive data from the database
  • Modify or delete database records
  • Bypass authentication mechanisms
  • Potentially execute operating system commands depending on database configuration

The attack does not require user interaction, making it particularly dangerous in exposed deployments. The exploit methodology involves appending SQL metacharacters and statements to the legitimate staffid value, which the vulnerable application then executes against the backend database.

Detection Methods for CVE-2025-0950

Indicators of Compromise

  • Unusual or malformed requests to staffview.php containing SQL syntax characters such as single quotes, double dashes, or UNION statements
  • Database error messages appearing in application logs or responses indicating SQL syntax errors
  • Unexpected database queries in database audit logs, particularly those accessing multiple tables or using administrative functions
  • Abnormal data access patterns from specific user sessions or IP addresses

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect SQL injection patterns in requests to staffview.php
  • Enable database query logging and monitor for suspicious query patterns including UNION-based, boolean-based, or time-based injection attempts
  • Deploy intrusion detection systems (IDS) with signatures for SQL injection attack patterns
  • Review application access logs for repeated requests with varying staffid parameter values containing special characters

Monitoring Recommendations

  • Monitor HTTP request logs for anomalous patterns targeting the staffview.php endpoint
  • Set up alerts for database queries that deviate from normal application behavior
  • Implement real-time monitoring of database connections for unauthorized or excessive queries
  • Track authentication and authorization events for privilege escalation attempts

How to Mitigate CVE-2025-0950

Immediate Actions Required

  • Restrict access to the staffview.php endpoint until a patch is applied
  • Implement network-level access controls to limit exposure of the vulnerable application
  • Deploy WAF rules specifically targeting SQL injection attempts on the staffid parameter
  • Review and audit database permissions to implement least-privilege principles

Patch Information

No official vendor patch has been released for this vulnerability at the time of publication. Users should monitor the IT Source Code Blog for updates and security advisories. Additional technical details are available in the GitHub Issue and through VulDB.

Workarounds

  • Implement input validation on the staffid parameter to accept only numeric values
  • Use prepared statements or parameterized queries when modifying the source code
  • Deploy a Web Application Firewall (WAF) with SQL injection protection enabled
  • Consider disabling or removing the staffview.php functionality if not critical to operations
  • Implement database user accounts with minimal required privileges for the application
bash
# Example WAF rule for ModSecurity to block SQL injection on staffid parameter
SecRule ARGS:staffid "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    msg:'SQL Injection attempt detected on staffid parameter',\
    log,\
    auditlog"

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

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