CVE Alert: CVE-2025-9933 – PHPGurukul – Beauty Parlour Management System

Risk verdict

High risk: remote SQL injection with no user interaction required, and PoC/public exploit details available; exploitability is actively being discussed in the advisory workflow.

Why this matters

Attackers can exfiltrate, alter or destroy data stored in the database via the vulnerable endpoint, potentially compromising customer records and business records. The total impact rating signals possible disruption to availability as well as data integrity and confidentiality, elevating business risk for any operation relying on the affected system.

Most likely attack path

An attacker can target the /admin/view-appointment.php endpoint with crafted viewid values from the internet, without authentication. Proven network-level access and no UI prerequisites enable automated probing and payload delivery, increasing chances of data leakage or manipulation and potential further DB compromises under compromised credentials or misconfigurations.

Who is most exposed

Web deployments of PHPGurukul Beauty Parlour Management System 1.1 with publicly exposed admin interfaces are most at risk, especially in small-to-medium businesses hosting these apps on internet-facing servers or shared hosting without robust input handling.

Detection ideas

• SQL error messages or unusual DB errors in web/application logs.
• Anomalous viewid query patterns or non-numeric payloads in access logs.
• spikes in DB query latency or CPU usage corresponding to admin endpoint access.
• WAF alerts for classic SQLi payloads targeting viewid.
• IOCs/signatures from CTI feeds related to this CVE.

Mitigation and prioritisation

• Apply vendor patch or upgrade to a fixed release; verify patch applicability in staging before production.
• Implement parameterised queries and strict input validation on viewid; enforce least-privilege DB accounts.
• Restrict access to the admin interface (IP allowlisting, MFA for admin).
• Deploy web/app firewall rules to block known SQLi patterns; monitor for anomalous requests.
• Initiate emergency patch/change window as soon as a fix is available; if patch delays, implement compensating controls and reduce exposure (network segmentation, disable public access).