CVE Alert: CVE-2025-11614 – SourceCodester – Best Salon Management System

Risk verdict

Remote SQL injection in edit-appointment.php with publicly available exploit; high potential for automated abuse on exposed installations.

Why this matters

Attacker can bypass authentication and directly query the backend database, risking data exfiltration or alteration of appointments and customer records. For small businesses relying on this system, this can lead to regulatory concerns, reputational damage, and service disruption.

Most likely attack path

Attackers target a network-accessible instance via /panel/edit-appointment.php with a crafted editid parameter, exploiting unsanitised input to trigger SQL statements. No authentication or user interaction is required, increasing the blast radius across exposed deployments. In practice, successful exploitation could enable data disclosure, integrity changes, or potential secondary abuse if the app connects to other internal resources.

Who is most exposed

Publicly reachable installations of SourceCodester Best Salon Management System 1.0, often self-hosted on web servers or shared hosting. Environments without recent patches or strict input handling are especially at risk.

Detection ideas

• Alerts for SQL keywords in editid parameters (e.g., SELECT, UNION, OR 1=1).
• HTTP error logs showing database errors or abnormal query messages.
• DB logs spike with long-running or failed queries tied to edit-appointment requests.
• WAF/IDS signs of SQL injection patterns in /panel/edit-appointment.php traffic.
• Unusual data access patterns or unexpected data exfiltration from appointment tables.

Mitigation and prioritisation

• Apply vendor patch or upgrade to patched version; verify fix in staging before production.
• Enforce parameterised queries and input validation for editid; adopt prepared statements.
• Limit DB user privileges and disable verbose error messages; ensure app does not reveal DB errors to clients.
• Deploy compensating controls (WAF rules, input sanitisation, monitoring dashboards) and tighten network exposure.
• Change-management: back up data, test rollback plan, and schedule a rapid patch window; monitor post-deployment traffic for anomalies. If KEV or EPSS data becomes available indicating higher risk, re-prioritise accordingly.