CVE-2026-18881 - Posts Table Filterable Plugin
CVE-2026-18881
The TableOn – WordPress Posts Table Filterable plugin for WordPress is vulnerable to blind SQL Injection via the `filter_data[comment_count]` parameter of the public `tableon_get_table_data` AJAX action in all versions up to, and including, 1.0.5.1. This is due to insufficient escaping on the user-supplied parameter and lack of sufficient preparation on the existing SQL query — the value is split on `:` and both halves are interpolated directly into a `posts_where` SQL clause without `intval()` casting or `$wpdb->prepare()`. This makes it possible for unauthenticated attackers to append additional SQL queries into the already-existing query that can be used to extract sensitive information from the database (researcher demonstrated extraction of database(), wp_users.user_login, and wp_users.user_pass).
CVE-2026-18881
HIGH
CVSS 7.5
Published 2026-08-05
Updated 2026-08-05
AI Risk High (82/100)
Active Exploit: No strong signal
Published Exploit: No public exploit references
Priority: P2 Urgent
Severity Band
HIGH
CVSS Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Affected Components
1
Reference Links
5
AI Risk Engine
High (82/100)
Exploitability
High
Active Exploitation
No strong signal
Published Exploit Status
No public exploit references
AI Context
Machine-generated threat intelligence
AI
Updated just now
AI enriched just now (2026-08-09 17:48 UTC)
Technical Summary
The TableOn – WordPress Posts Table Filterable plugin for WordPress is vulnerable to blind SQL Injection via the `filter_data[comment_count]` parameter of the public `tableon_get_table_data` AJAX action in all versions up to, and including, 1.0.5.1. This is due to insufficient escaping on the user-supplied parameter and lack of sufficient preparation on the existing SQL query — the value is split on `:` and both halves are interpolated directly into a `posts_where` SQL clause without `intval()` casting or `$wpdb->prepare()`. This makes it…
Potential Impact
Severity is HIGH (CVSS 7.5). 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 remote code execution potential, low-bar exploit prerequisites.
Primary risk drivers: remote code execution potential, 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 82/100 (High, High) with priority P2 Urgent. Prioritize remediation where affected components process customer data, admin sessions, or Internet-exposed workflows.
