CVE Alert: CVE-2025-11505 – PHPGurukul – Beauty Parlour Management System

CVE-2025-11505

HIGHNo exploitation known

A vulnerability was identified in PHPGurukul Beauty Parlour Management System 1.1. Impacted is an unknown function of the file /admin/new-appointment.php. The manipulation of the argument delid leads to sql injection. It is possible to initiate the attack remotely. The exploit is publicly available and might be used.

CVSS v3.1 (7.3)
Vendor
PHPGurukul
Product
Beauty Parlour Management System
Versions
1.1
CWE
CWE-89, SQL Injection
Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L/E:P/RL:X/RC:R
Published
2025-10-08T21:32:06.615Z
Updated
2025-10-08T21:32:06.615Z

AI Summary Analysis

Risk verdict

High risk: remote, unauthenticated SQL injection with a publicly available exploit; remediation should be expedited.

Why this matters

The vulnerability enables attackers to interact directly with the backend database without credentials, potentially exposing or altering data and impacting availability. For businesses relying on online appointment management, unauthorised access could disrupt bookings, leak customer information, or enable further system compromise.

Most likely attack path

Exploitation requires no user interaction and can be triggered over the network, enabling automated scanning and exploitation. An attacker could craft malicious input in a web request to trigger an SQL injection, gaining data exposure or potentially manipulating data without altering a user workflow. With no observed privileges required, lateral movement or access to connected systems is plausible if the DB is accessible from the application server.

Who is most exposed

Web-facing deployments of this PHP-based management system, especially by small to mid-size organisations hosting on shared or on-premise stacks, are at highest risk. Admin-facing interfaces or public endpoints without proper hardening are typical exposure points.

Detection ideas

  • Anomalous or SQL error responses in application or DB logs tied to input fields handling data submissions.
  • Unusual values in input parameters that attempt database-style patterns or tautologies.
  • WAF alerts for SQL injection signatures and generic query anomalies.
  • Unusual spikes in requests to the admin/public endpoints without prior authentication attempts.
  • Post-request data integrity anomalies (unexpected row/column changes in critical tables).

Mitigation and prioritisation

  • Apply vendor patch or upgrade to the fixed version; verify patch coverage in staging before production.
  • If patching is not feasible, implement strong input validation and parameterised queries; remove or isolate untrusted data paths.
  • Enforce network segregation and restrict admin endpoints behind auth, MFA, and IP allowlisting.
  • Enable comprehensive logging, real-time alerting, and database query auditing; prepare rollback procedures.
  • Coordinate change management with a test window and ensure backups; monitor for signs of exploitation.

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