← Back to search

CVE-2026-18881

7.5 HIGH

Published 2026-08-05 · Updated 2026-08-05

AI risk analysis

Summary
The flaw is a blind SQL Injection vulnerability in the TableOn plugin for WordPress, allowing unauthenticated attackers to extract sensitive database information by manipulating the `filter_data[comment_count]` parameter.
Exploitability
Exploitation requires knowledge of the specific parameter and SQL injection techniques; access to the public `tableon_get_table_data` AJAX action is necessary.
Blast radius
If exploited, attackers could extract sensitive data such as user login credentials and passwords from the database, posing a significant risk to user security.
Prioritized remediation
Update to the latest version of the TableOn plugin, which should address this vulnerability.
sql-injectionblind-sqlwordpressdatabase-exposure

Analysis generated locally by qwen2.5:7b-instruct (no data left the box). AI-assisted — verify against primary sources before acting.

NVD description

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).

CVSS vector

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Weaknesses

CWE-89

All references

Source data: NVD (nvd.nist.gov), public domain. Exploit-DB.ai adds local AI analysis for defensive use only.