CVE-2026-13235 in Drupal
Summary
by MITRE • 07/11/2026
Missing Authorization vulnerability in Drupal AI (Artificial Intelligence) allows Forceful Browsing. This issue affects AI (Artificial Intelligence) versions: from 0.0.0 to 1.2.17, from 1.3.0 to 1.3.8, from 1.4.0 to 1.4.3.
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Analysis
by VulDB Data Team • 07/11/2026
This vulnerability represents a critical authorization flaw in the Drupal AI module that enables forceful browsing attacks through missing access controls. The issue manifests as a failure to properly validate user permissions before granting access to sensitive artificial intelligence functionality, creating a pathway for unauthorized users to bypass normal security boundaries. The vulnerability affects multiple version ranges including 0.0.0 to 1.2.17, 1.3.0 to 1.3.8, and 1.4.0 to 1.4.3, indicating a widespread problem that has persisted across several release cycles of the module.
The technical implementation flaw stems from inadequate authorization checks within the module's access control mechanisms, specifically in how the system handles requests for AI-related resources. When users attempt to access protected AI features or data through direct URL manipulation or API calls, the system fails to verify whether the requesting user possesses appropriate privileges. This missing validation allows attackers to construct malicious requests that directly target AI functionality without proper authentication or authorization, effectively enabling them to browse content they should not have access to.
From an operational impact perspective, this vulnerability creates significant security risks for Drupal sites utilizing the AI module. Attackers can exploit this weakness to gain unauthorized access to artificial intelligence processing capabilities, potentially including access to protected datasets, model configurations, or AI-generated content that should be restricted to authorized personnel only. The forceful browsing capability means that even if proper authentication occurs for initial access, attackers can still navigate directly to protected AI resources through manipulated requests or direct endpoint access.
The vulnerability aligns with CWE-285, which addresses insufficient authorization flaws in software systems, and represents a clear violation of the principle of least privilege. From an attack framework perspective, this weakness maps to ATT&CK technique T1078.004 for valid accounts and potentially T1566 for initial access through manipulation of application functionality. Organizations running affected Drupal AI modules face risks including data exposure, potential model tampering, unauthorized AI processing, and possible escalation to other system components through the compromised access paths.
Mitigation strategies should prioritize immediate patching of affected versions to the latest stable releases where this authorization flaw has been addressed. System administrators should implement additional monitoring for unusual access patterns to AI-related endpoints and consider deploying web application firewalls with rules specifically designed to detect and block direct resource access attempts. Organizations should also conduct thorough access control reviews to ensure that all AI module functionality properly enforces user permissions, implementing proper authentication checks at every entry point to prevent similar authorization bypass scenarios in other system components.