CVE-2022-0919 - Salon Booking System Plugin
CVE-2022-0919
The Salon booking system Free and pro WordPress plugins before 7.6.3 do not have proper authorisation when searching bookings, allowing any unauthenticated users to search other's booking, as well as retrieve sensitive information about the bookings, such as the full name, email and phone number of the person who booked it.
CVE-2022-0919
MEDIUM
CVSS 5.3
Published 2022-04-11
Updated 2024-11-21
AI Risk Moderate (52/100)
Active Exploit: No strong signal
Published Exploit: No public exploit references
Priority: P4 Planned
Severity Band
MEDIUM
CVSS Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Affected Components
1
Reference Links
1
AI Risk Engine
Moderate (52/100)
Exploitability
Low
Active Exploitation
No strong signal
Published Exploit Status
No public exploit references
AI Context
Machine-generated threat intelligence
AI
Updated 6 days ago
AI enriched 6 days ago (2026-04-09 06:46 UTC)
Technical Summary
The Salon booking system Free and pro WordPress plugins before 7.6.3 do not have proper authorisation when searching bookings, allowing any unauthenticated users to search other's booking, as well as retrieve sensitive information about the bookings, such as the full name, email and phone number of the person who booked it.
Potential Impact
Severity is MEDIUM (CVSS 5.3). Depending on deployment context, affected components may be exposed to unauthorized actions or data integrity risk.
Exploitability Assessment
Exploitability is assessed as Low based on low-bar exploit prerequisites.
Primary risk drivers: low-bar exploit prerequisites
Mitigation Recommendations
Validate affected product versions, prioritize patching, and monitor references for vendor remediation guidance. If immediate patching is not possible, apply compensating controls and limit exposure of vulnerable surfaces.
Detection & Monitoring
Track authentication anomalies, unexpected file writes, and suspicious plugin API activity around affected components.
Business Impact Lens
Prioritize remediation where affected components process customer data, admin sessions, or Internet-exposed workflows.