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CVE-2025-13981: CWE-79 Improper Neutralization of Input During Web Page Generation ("Cross-site Scripting") in Drupal AI (Artificial Intelligence)

0
Medium
VulnerabilityCVE-2025-13981cvecve-2025-13981cwe-79
Published: Wed Jan 28 2026 (01/28/2026, 20:01:32 UTC)
Source: CVE Database V5
Vendor/Project: Drupal
Product: AI (Artificial Intelligence)

Description

CVE-2025-13981 is a medium severity Cross-Site Scripting (XSS) vulnerability in the Drupal AI module affecting versions prior to 1. 0. 7, 1. 1. 7, and 1. 2. 4. It arises from improper neutralization of input during web page generation, allowing attackers to inject malicious scripts. Exploitation requires network access, low privileges, and user interaction, with a complexity rated as high. While no known exploits are currently active in the wild, successful attacks could lead to limited confidentiality and integrity impacts, such as session hijacking or defacement.

AI-Powered Analysis

AILast updated: 02/05/2026, 08:56:22 UTC

Technical Analysis

CVE-2025-13981 is a Cross-Site Scripting (XSS) vulnerability classified under CWE-79 that affects the Drupal AI (Artificial Intelligence) module. The vulnerability stems from improper neutralization of user-supplied input during the generation of web pages, which allows attackers to inject malicious scripts into web content rendered by the module. Affected versions include all releases before 1.0.7, 1.1.7, and 1.2.4. The vulnerability requires an attacker to have network access and low privileges, and it also necessitates user interaction to trigger the malicious script execution. The CVSS v3.1 score is 4.4 (medium severity), reflecting limited confidentiality and integrity impacts without affecting availability. Exploitation complexity is high due to the need for user interaction and specific conditions. Although no known exploits are currently reported in the wild, the vulnerability could enable attackers to perform actions such as session hijacking, defacement, or theft of sensitive information within the context of the affected Drupal AI module. The vulnerability is particularly relevant for organizations using Drupal AI for web content generation or AI-driven web features, as malicious scripts could compromise user trust and data integrity. The issue was publicly disclosed in January 2026, and no official patches or links were provided in the source data, indicating the need for organizations to monitor Drupal security advisories closely for updates.

Potential Impact

For European organizations, this vulnerability poses a moderate risk primarily to web applications leveraging the Drupal AI module. Potential impacts include unauthorized script execution in users' browsers, leading to session hijacking, theft of sensitive data, or manipulation of displayed content. This can undermine user trust, cause reputational damage, and potentially lead to regulatory non-compliance under GDPR if personal data is compromised. The impact on availability is negligible, but integrity and confidentiality could be affected within the scope of the vulnerable module. Organizations with public-facing Drupal AI implementations, especially those handling sensitive user data or providing critical services, may face targeted attacks exploiting this vulnerability. The requirement for user interaction and low privilege reduces the likelihood of widespread automated exploitation but does not eliminate targeted phishing or social engineering risks. Additionally, the medium severity score suggests that while the threat is not critical, it warrants timely remediation to prevent escalation or chaining with other vulnerabilities.

Mitigation Recommendations

1. Apply official patches or updates from Drupal as soon as they become available, specifically upgrading the AI module to versions 1.0.7, 1.1.7, or 1.2.4 or later. 2. Implement strict input validation and sanitization on all user-supplied data within the Drupal AI module to prevent injection of malicious scripts. 3. Deploy Content Security Policy (CSP) headers to restrict the execution of unauthorized scripts in browsers. 4. Conduct regular security audits and code reviews focused on input handling in custom Drupal modules or extensions. 5. Educate users about the risks of interacting with suspicious links or content to reduce the effectiveness of social engineering attacks. 6. Monitor web server and application logs for unusual activity or script injection attempts related to the Drupal AI module. 7. Utilize web application firewalls (WAF) configured to detect and block common XSS attack patterns targeting Drupal applications. 8. Limit the privileges of users and services interacting with the Drupal AI module to minimize potential damage from exploitation.

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Technical Details

Data Version
5.2
Assigner Short Name
drupal
Date Reserved
2025-12-03T17:04:21.182Z
Cvss Version
null
State
PUBLISHED

Threat ID: 697a6c254623b1157cec1702

Added to database: 1/28/2026, 8:05:57 PM

Last enriched: 2/5/2026, 8:56:22 AM

Last updated: 2/7/2026, 2:42:18 PM

Views: 23

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