CVE Alert: CVE-2025-9829 – PHPGurukul – Beauty Parlour Management System

CVE-2025-9829

HIGHNo exploitation knownPoC observed

A vulnerability was identified in PHPGurukul Beauty Parlour Management System 1.1. The impacted element is an unknown function of the file /signup.php. The manipulation of the argument mobilenumber leads to sql injection. Remote exploitation of the attack is possible. The exploit is publicly available and might be used. Other parameters might be affected as well.

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
2025-09-02T18:32:07.340Z
Updated
2025-09-02T18:58:43.946Z

AI Summary Analysis

Risk verdict

Remote SQL injection in the signup flow presents a tangible data risk; a PoC exists and the vulnerability is exploitable without user interaction.

Why this matters

Compromise could allow attackers to read or alter user data and potentially gain access to ancillary database content. With the flaw located in a public-facing signup endpoint, mass exploitation is plausible, risking data integrity, compliance exposure, and customer trust.

Most likely attack path

Attacker targets the network-facing signup.php, supplying crafted input to mobilenumber to trigger an SQL injection. No authentication or user interaction is required, and the attacker can exfiltrate or modify data within the same database scope; escalation beyond the application’s DB context is unlikely without additional privileges.

Who is most exposed

Sites with internet-facing PHP-based signup forms on SMB or small hosting environments are most at risk, especially where database access is shared with the web application and input sanitisation is weak.

Detection ideas

  • SQL error messages or stack traces in signup requests.
  • Anomalous POST payloads to signup.php with unusual quotes or UNION SELECT patterns.
  • Sudden spikes in signup endpoint errors or slow queries on the database.
  • WAF/IPS alerts for typical SQLi payloads targeting input fields.
  • Repeated signup attempts from a single IP range or diverse user agents.

Mitigation and prioritisation

  • Patch or upgrade to fixed version; implement parameterised queries/prepared statements.
  • Validate and constrain all input; use least-privilege DB credentials for the web app.
  • Implement a web application firewall rule set that blocks SQLi-like payloads; enable input sanitisation.
  • Review and harden the signup workflow, add rate limiting and anomaly detection.
  • Test changes in a staging environment before production rollout; document patch timelines.

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