Cyber Posture

CVE-2026-3573

High

Published: 26 March 2026

Published
26 March 2026
Modified
31 March 2026
KEV Added
Patch
CVSS Score 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
EPSS Score 0.0006 19.8th percentile
Risk Priority 15 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2026-3573 is a high-severity Incorrect Authorization (CWE-863) vulnerability in Artificial Intelligence Project Artificial Intelligence. Its CVSS base score is 7.5 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 19.8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

This vulnerability is AI-related — categorised as Other AI Platforms.

The strongest mitigations our analysis identified are NIST 800-53 AC-3 (Access Enforcement) and SI-2 (Flaw Remediation).

Threat & Defense at a Glance

What attackers do: exploitation maps to Exploit Public-Facing Application (T1190) and 1 other technique. What defenders deploy: see the NIST 800-53 controls recommended below.
Threat & Defense Details

Mitigating Controls (NIST 800-53 r5)AI

prevent

Enforces system-wide access control policies to prevent unauthenticated attackers from exploiting incorrect authorization for resource injection in the Drupal AI module.

prevent

Mandates timely remediation of identified flaws, such as patching vulnerable Drupal AI module versions before 1.1.11 or 1.2.12 as per the security advisory.

prevent

Implements least privilege to limit the scope of unauthorized resource access even if authorization enforcement partially fails.

MITRE ATT&CK Enterprise TechniquesAI

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
T1005 Data from Local System Collection
Adversaries may search local system sources, such as file systems, configuration files, local databases, virtual machine files, or process memory, to find files of interest and sensitive data prior to Exfiltration.
Why these techniques?

Vulnerability is an authz bypass in public-facing Drupal web app enabling remote unauthenticated access to sensitive resources (T1190 for initial exploitation of public-facing app; T1005 for resulting data access from local system resources).

Confidence: MEDIUM · MITRE ATT&CK Enterprise v18.1

NVD Description

Incorrect Authorization vulnerability in Drupal AI (Artificial Intelligence) allows Resource Injection.This issue affects AI (Artificial Intelligence): from 0.0.0 before 1.1.11, from 1.2.0 before 1.2.12.

Deeper analysisAI

CVE-2026-3573 is an Incorrect Authorization vulnerability (CWE-863) in the Drupal AI (Artificial Intelligence) module that allows Resource Injection. The issue affects all versions from 0.0.0 before 1.1.11 and from 1.2.0 before 1.2.12. Published on 2026-03-26, it carries a CVSS v3.1 base score of 7.5 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N), indicating high severity due to its potential for confidential data exposure.

Unauthenticated remote attackers can exploit this vulnerability over the network with low attack complexity and no user interaction required. Successful exploitation enables high-impact confidentiality violations, such as unauthorized access to sensitive resources, without affecting integrity or availability.

The Drupal security advisory SA-CONTRIB-2026-028 at https://www.drupal.org/sa-contrib-2026-028 provides details on mitigation, including upgrade guidance to patched versions of the AI module.

This vulnerability occurs in a Drupal module handling artificial intelligence features, making it relevant for sites integrating AI functionalities. No public information on real-world exploitation is available in the provided details.

Details

CWE(s)

Affected Products

artificial intelligence project
artificial intelligence
≤ 1.1.11 · 1.2.0 — 1.2.12

AI Security AnalysisAI

AI Category
Other AI Platforms
Risk Domain
N/A
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
Matched keywords: ai, artificial intelligence, ai, artificial intelligence

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References