CVE-2026-13395 - Before 27 Plugin
CVE-2026-13395
The Online Scheduling and Appointment Booking System WordPress plugin before 27.8 does not sanitize or properly cast a user-supplied parameter from its unauthenticated front-end booking requests before using it in a SQL query, allowing unauthenticated attackers to perform SQL injection attacks and extract sensitive data such as password hashes from the database.
CVE-2026-13395
HIGH
CVSS 8.6
Published 2026-07-30
Updated 2026-07-30
AI Risk High (83/100)
Active Exploit: No strong signal
Published Exploit: No public exploit references
Priority: P2 Urgent
Severity Band
HIGH
CVSS Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N
Affected Components
2
Reference Links
1
AI Risk Engine
High (83/100)
Exploitability
High
Active Exploitation
No strong signal
Published Exploit Status
No public exploit references
AI Context
Machine-generated threat intelligence
AI
Updated 8 days ago
AI enriched 8 days ago (2026-08-01 09:22 UTC)
Technical Summary
The Online Scheduling and Appointment Booking System WordPress plugin before 27.8 does not sanitize or properly cast a user-supplied parameter from its unauthenticated front-end booking requests before using it in a SQL query, allowing unauthenticated attackers to perform SQL injection attacks and extract sensitive data such as password hashes from the database.
Potential Impact
Severity is HIGH (CVSS 8.6). Depending on deployment context, affected components may be exposed to unauthorized actions or data integrity risk.
Exploitability Assessment
Exploitability is assessed as High 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
AI risk score 83/100 (High, High) with priority P2 Urgent. Prioritize remediation where affected components process customer data, admin sessions, or Internet-exposed workflows.