CVE Alert: CVE-2025-11506 – PHPGurukul – Beauty Parlour Management System

CVE-2025-11506

HIGHNo exploitation known

A security flaw has been discovered in PHPGurukul Beauty Parlour Management System 1.1. The affected element is an unknown function of the file /admin/search-appointment.php. The manipulation of the argument searchdata results in sql injection. It is possible to launch the attack remotely. The exploit has been released to the public and may be exploited.

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
2025-10-08T21:32:10.029Z
Updated
2025-10-08T21:32:10.029Z

AI Summary Analysis

Risk verdict

High risk with active exposure: publicly available exploit and remote, unauthenticated SQL injection in the web-facing component; treat as priority 1.

Why this matters

Attackers can exfiltrate or tamper data from the backend database, including sensitive customer or appointment information, with minimal prerequisites. The combination of unauthenticated network access and a widely publicised exploit increases the chance of automated scans and mass-exploitation, potentially leading to data breach, regulatory exposure, and service disruption.

Most likely attack path

No authentication required and network-based access enable immediate exploitation via the vulnerable input handling. An attacker can send crafted input to the vulnerable endpoint, triggering SQL Injection to read or modify data. With typical database permissions, this may lead to data leakage and integrity impacts, with limited but real lateral movement risk within the application stack if further misconfigurations exist.

Who is most exposed

Deployments with internet-facing admin interfaces or web management pages are at greatest risk, especially in small businesses or hosted environments where default or weak access controls may apply and WAF coverage is inconsistent.

Detection ideas

  • Web logs show requests to the admin page with suspicious searchdata payloads.
  • Repeated SQL error patterns or unusual error pages in responses or logs.
  • WAF/IPS alerts for SQLi-style signatures or payloads.
  • Sudden spikes in authentication or database error events from the web tier.
  • Anomalous data access patterns or large data transfers from the app server.

Mitigation and prioritisation

  • Treat as Priority 1; patch to fixed version or apply vendor-supplied hotfix immediately.
  • If patching is delayed, implement compensating controls: enforce parameterized queries/prepared statements, disable dynamic SQL, and restrict DB permissions for the web app account.
  • Tighten access: IP allowlists for admin endpoints, require strong authentication/MFA where feasible, and network-segmentation.
  • Enable robust input validation and sanitisation; hide verbose error messages; deploy or tune WAF rules to block SQLi patterns.
  • Plan a rapid verification and containment runbook; monitor for post-patch indicators and conduct a focused security test in staging before rollout.

A considerable amount of time and effort goes into maintaining this website, creating backend automation and creating new features and content for you to make actionable intelligence decisions. Everyone that supports the site helps enable new functionality.

If you like the site, please support us on “Patreon” or “Buy Me A Coffee” using the buttons below

To keep up to date follow us on the below channels.