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Vulnerability Database/CVE-2026-11969

CVE-2026-11969: WP TripAdvisor Review Slider SQL Injection

CVE-2026-11969 is a SQL injection vulnerability in WP TripAdvisor Review Slider plugin for WordPress. Attackers with admin access can extract sensitive database information. This article covers technical details, affected versions, and mitigation.

Published:

CVE-2026-11969 Overview

CVE-2026-11969 is a SQL Injection vulnerability affecting the WP TripAdvisor Review Slider plugin for WordPress. The flaw exists in all versions up to and including 14.3 and stems from insufficient escaping of the curselrevs[] parameter combined with a lack of proper query preparation. Authenticated attackers with administrator-level access or above can append additional SQL statements to existing queries. Successful exploitation allows extraction of sensitive information from the WordPress database. The vulnerability is classified under CWE-89: Improper Neutralization of Special Elements used in an SQL Command.

Critical Impact

Authenticated administrators can inject arbitrary SQL through the curselrevs[] parameter, exposing sensitive database contents including user credentials, session tokens, and configuration data.

Affected Products

  • WP TripAdvisor Review Slider plugin for WordPress, versions up to and including 14.3
  • WordPress sites using vulnerable class-wp-tripadvisor-review-slider-admin.php handlers
  • WordPress sites using vulnerable class-wp-tripadvisor-review-slider.php handlers

Discovery Timeline

  • 2026-08-05 - CVE-2026-11969 published to NVD
  • 2026-08-05 - Last updated in NVD database

Technical Details for CVE-2026-11969

Vulnerability Analysis

The vulnerability resides in multiple handlers within the WP TripAdvisor Review Slider plugin. Specifically, code paths in admin/class-wp-tripadvisor-review-slider-admin.php at lines 599 and 671, along with includes/class-wp-tripadvisor-review-slider.php at line 285, process the curselrevs[] array parameter. The plugin concatenates values from this parameter directly into SQL statements without escaping them through esc_sql() or preparing the query through wpdb::prepare(). This is a generic SQL Injection where an attacker can break out of the intended query context and append arbitrary SQL clauses. Because the vulnerable code paths require administrator-level privileges, exploitation typically follows credential theft, session hijacking, or malicious insider activity.

Root Cause

The root cause is missing input sanitization on a user-controlled array parameter combined with unprepared SQL statements. WordPress provides the $wpdb->prepare() API precisely to bind user input safely, but the affected code paths build queries via direct string concatenation. Array parameters like curselrevs[] require additional handling because each element must be validated and escaped individually before use in a query.

Attack Vector

An authenticated attacker with an administrator account submits crafted values in the curselrevs[] array parameter to a plugin endpoint that invokes the vulnerable database function. By supplying SQL syntax such as UNION SELECT clauses within array elements, the attacker forces the database to return arbitrary data from other tables, including wp_users and wp_options. Extracted values can include password hashes, secret keys, API tokens, and personally identifiable information stored by other plugins.

The vulnerable code paths are documented in the WordPress TripAdvisor Slider source and the corresponding Wordfence Vulnerability Analysis.

Detection Methods for CVE-2026-11969

Indicators of Compromise

  • HTTP POST or GET requests containing the curselrevs[] parameter with SQL keywords such as UNION, SELECT, SLEEP(, or comment markers like -- and /*.
  • Unusually long or URL-encoded array values submitted to WP TripAdvisor Review Slider admin endpoints.
  • WordPress debug.log entries showing MySQL syntax errors originating from the plugin's database functions.
  • New or unexpected administrator sessions immediately preceding suspicious plugin activity.

Detection Strategies

  • Enable WordPress query logging or MySQL general query logging and search for queries that reference curselrevs values with SQL metacharacters.
  • Deploy a web application firewall rule that inspects curselrevs[] parameter values for SQL syntax patterns.
  • Monitor administrator authentication events and correlate them with plugin admin-page requests for anomalous activity.

Monitoring Recommendations

  • Track outbound database result sizes from plugin endpoints to identify data exfiltration through UNION-based extraction.
  • Alert on administrator account logins from new IP addresses or user-agents to reduce the window for exploitation.
  • Review WordPress access logs weekly for repeated requests to plugin admin endpoints containing array parameters.

How to Mitigate CVE-2026-11969

Immediate Actions Required

  • Update the WP TripAdvisor Review Slider plugin to version 14.4 or later, which contains the vendor fix documented in the WordPress TripAdvisor Slider Change Log.
  • Rotate all WordPress administrator passwords and secret keys defined in wp-config.php if exploitation is suspected.
  • Audit the wp_users table for unauthorized administrator accounts created recently.

Patch Information

The vendor released a fix in version 14.4. The changeset diff shows the updated handling of the curselrevs[] parameter. Administrators should verify the installed plugin version through the WordPress plugins dashboard after applying the update.

Workarounds

  • Deactivate the WP TripAdvisor Review Slider plugin until version 14.4 is deployed.
  • Restrict administrator access to trusted personnel and enforce multi-factor authentication on all administrator accounts.
  • Deploy a WAF rule to block requests containing SQL metacharacters in the curselrevs[] parameter.
bash
# WP-CLI update to the patched version
wp plugin update wp-tripadvisor-review-slider --version=14.4

# Verify installed version
wp plugin get wp-tripadvisor-review-slider --field=version

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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