CVE-2026-13237 in AI Agents
Summary
by MITRE • 07/11/2026
Incorrect Authorization vulnerability in Drupal AI Agents allows Forceful Browsing. This issue affects AI Agents versions: from 0.0.0 to 1.1.4, from 1.2.0 to 1.2.5, from 1.3.0 to 1.3.1.
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Analysis
by VulDB Data Team • 07/11/2026
This vulnerability represents a critical authorization flaw in the Drupal AI Agents module that enables forceful browsing attacks through improper access control implementation. The issue stems from insufficient validation of user permissions when accessing sensitive AI agent functionalities, allowing authenticated users to potentially bypass intended access restrictions and navigate to resources they should not be permitted to access. This misconfiguration creates a pathway for privilege escalation and unauthorized data exposure within the Drupal content management system environment.
The technical root cause of this vulnerability lies in the module's failure to properly enforce authorization checks during resource access operations. When users interact with AI agent features, the system should validate whether the requesting user possesses adequate permissions to perform specific actions or access particular data sets. However, the current implementation lacks robust permission verification mechanisms, enabling attackers to exploit predictable URL patterns and API endpoints to gain unauthorized access to restricted functionalities. This flaw aligns with CWE-285, which addresses improper authorization issues in software systems, and represents a classic example of insufficient access control validation.
The operational impact of this vulnerability extends beyond simple data exposure, potentially enabling attackers to manipulate AI agent configurations, access confidential information processed by these agents, or even execute unauthorized operations within the system. An attacker could leverage this weakness to access other users' AI agent data, modify agent settings, or potentially gain elevated privileges within the Drupal environment. The affected versions span multiple release branches, indicating a widespread issue that affects various deployment scenarios and complicating immediate remediation efforts. This vulnerability particularly impacts organizations relying on Drupal for content management while utilizing AI agents for automated processes, creating exposure across both web application and artificial intelligence processing domains.
Organizations should prioritize immediate mitigation through the application of available security patches released by the Drupal project, as these updates typically address the specific authorization bypass mechanisms. System administrators must also implement additional monitoring controls to detect unusual access patterns or unauthorized attempts to access AI agent resources. Network-level restrictions and API gateways can provide additional defense-in-depth measures to limit exposure while permanent fixes are implemented. The vulnerability demonstrates the importance of proper access control implementation in complex web applications, particularly those integrating artificial intelligence capabilities where data sensitivity often increases exponentially. Organizations should review their entire Drupal module ecosystem for similar authorization issues and consider implementing automated security scanning tools to identify potential privilege escalation vectors within their deployment environments. This incident underscores the critical need for comprehensive security testing during module integration phases and highlights the growing security considerations inherent in AI-enabled web applications that must balance functionality with robust access control mechanisms.