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CVE Vulnerability Database

CVE-2025-7137: Best Salon Management System SQLi Flaw

CVE-2025-7137 is a critical SQL injection vulnerability in Best Salon Management System 1.0 affecting the schedule-staff.php file. This article covers the technical details, exploitation risks, and recommended mitigations.

Published:

CVE-2025-7137 Overview

CVE-2025-7137 is a SQL injection vulnerability in SourceCodester Best Salon Management System 1.0. The flaw resides in the /panel/schedule-staff.php file, where the staff_id parameter is passed to a database query without proper sanitization. An authenticated remote attacker can manipulate the parameter to inject arbitrary SQL statements. The exploit has been publicly disclosed, increasing the likelihood of opportunistic abuse against exposed installations. The issue is tracked under [CWE-74] (Improper Neutralization of Special Elements in Output Used by a Downstream Component).

Critical Impact

Remote attackers with low-privilege access can read, modify, or delete salon business data — including customer records, staff schedules, and authentication tables — by injecting SQL through the staff_id parameter.

Affected Products

  • Mayurik Best Salon Management System 1.0
  • SourceCodester distribution of Best Salon Management System
  • Installations exposing /panel/schedule-staff.php to remote users

Discovery Timeline

  • 2025-07-07 - CVE-2025-7137 published to NVD
  • 2026-04-29 - Last updated in NVD database

Technical Details for CVE-2025-7137

Vulnerability Analysis

The vulnerability stems from improper neutralization of user input in /panel/schedule-staff.php. The script accepts the staff_id argument from an HTTP request and concatenates it directly into a SQL query executed against the backend database. Because no parameterized query, prepared statement, or input sanitization is applied, an attacker can break out of the intended query context and append arbitrary SQL clauses.

The attack requires network access to the application and a low-privilege authenticated session, but no user interaction. Successful exploitation yields limited confidentiality, integrity, and availability impact on the database, consistent with constrained SQL injection in an authenticated panel.

Public technical details for the issue are documented in the GitHub SQL Injection Guide and VulDB entry #315051.

Root Cause

The root cause is the direct interpolation of the staff_id request parameter into a SQL statement without using parameterized queries or input validation. The application trusts client-supplied data when constructing the schedule lookup query, violating secure coding practice for database access.

Attack Vector

An authenticated attacker sends a crafted HTTP request to /panel/schedule-staff.php with a malicious value supplied in the staff_id parameter. By appending SQL operators such as UNION SELECT or boolean conditions, the attacker forces the database to return data from other tables or modify records. The attack is remote, requires no user interaction, and the exploit has been disclosed publicly.

No verified proof-of-concept code is republished here. Refer to the GitHub SQL Injection Guide for the disclosed payload structure.

Detection Methods for CVE-2025-7137

Indicators of Compromise

  • HTTP requests to /panel/schedule-staff.php containing SQL metacharacters such as ', ", --, ;, or keywords like UNION, SELECT, SLEEP, and OR 1=1 in the staff_id parameter.
  • Unusual database errors logged by the PHP application after requests to schedule-staff.php.
  • Web access logs showing repeated requests to schedule-staff.php with varying numeric and non-numeric staff_id values from a single source.

Detection Strategies

  • Deploy Web Application Firewall (WAF) signatures that flag SQL injection patterns targeting the staff_id parameter.
  • Enable database query auditing to capture anomalous UNION-based or time-based queries originating from the salon management application user.
  • Correlate authentication events with subsequent requests to schedule-staff.php to identify low-privilege accounts probing the endpoint.

Monitoring Recommendations

  • Monitor PHP error logs for mysqli or PDO exceptions referencing schedule-staff.php.
  • Alert on outbound database response sizes from schedule-staff.php that exceed normal baselines, indicating data exfiltration via UNION queries.
  • Track repeated 500-series HTTP responses from /panel/schedule-staff.php as a signal of injection probing.

How to Mitigate CVE-2025-7137

Immediate Actions Required

  • Restrict access to /panel/ to trusted administrative networks using IP allowlists or VPN-only access until a patched build is available.
  • Audit existing salon database records for unauthorized modifications to staff, schedule, and user authentication tables.
  • Rotate credentials for any database account used by the application if injection attempts are observed in logs.

Patch Information

No official vendor patch has been published in the vendor resources tracked for this CVE at the time of the last NVD update. Operators should monitor SourceCodester and Mayurik project pages for updated releases and apply any fixes that introduce parameterized queries in schedule-staff.php.

Workarounds

  • Modify schedule-staff.php to use prepared statements with bound parameters (e.g., mysqli_stmt_bind_param or PDO bindValue) for the staff_id value.
  • Cast staff_id to an integer with intval() before using it in any SQL statement when the column is numeric.
  • Place the application behind a WAF with SQL injection rules enabled and block requests containing SQL syntax in staff_id.
  • Remove or disable the schedule-staff.php endpoint if the staff scheduling feature is not in use.
bash
# Example ModSecurity rule to block SQLi attempts against the vulnerable endpoint
SecRule REQUEST_URI "@contains /panel/schedule-staff.php" \
  "chain,phase:2,deny,status:403,id:1007137,msg:'CVE-2025-7137 SQLi attempt on staff_id'"
  SecRule ARGS:staff_id "@detectSQLi" "t:none"

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

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