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CVE Vulnerability Database

CVE-2026-5394: Pimcore SQL Injection Vulnerability

CVE-2026-5394 is a SQL injection flaw in Pimcore allowing authenticated admins to execute unintended SQL via malicious composite index metadata. This article covers technical details, affected versions, and mitigation.

Published:

CVE-2026-5394 Overview

CVE-2026-5394 is a SQL Injection vulnerability affecting Pimcore, an open-source content management platform. An authenticated administrative user with permissions to import or save DataObject class definitions can inject attacker-controlled composite index metadata and trigger unintended SQL execution in the backend database.

Critical Impact

Authenticated administrators can exploit malicious composite index metadata to execute arbitrary SQL commands, potentially leading to data exfiltration, data manipulation, or complete database compromise.

Affected Products

  • Pimcore version 12.3.3

Discovery Timeline

  • 2026-04-27 - CVE-2026-5394 published to NVD
  • 2026-04-27 - Last updated in NVD database

Technical Details for CVE-2026-5394

Vulnerability Analysis

This vulnerability is classified under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command), commonly known as SQL Injection. The flaw exists in the DataObject class definition handling functionality within Pimcore. When an authenticated administrative user imports or saves DataObject class definitions, the application fails to properly sanitize composite index metadata before incorporating it into SQL queries.

The vulnerability requires authentication with administrative privileges, which limits the attack surface to scenarios where an attacker has already compromised admin credentials or where a malicious insider exists. However, once exploited, the impact is significant as the attacker gains the ability to execute arbitrary SQL commands against the backend database.

Root Cause

The root cause of CVE-2026-5394 lies in insufficient input validation and sanitization of user-supplied composite index metadata during the DataObject class definition import or save operations. When Pimcore processes these class definitions, it directly incorporates the attacker-controlled metadata into database queries without proper escaping or parameterization. This allows an attacker to break out of the intended SQL context and inject malicious SQL statements.

Attack Vector

The attack is network-accessible and requires an authenticated session with administrative privileges. An attacker would craft a malicious DataObject class definition containing specially formatted composite index metadata designed to inject SQL commands. When this definition is imported or saved through the Pimcore administrative interface, the injected SQL code executes against the backend database with the privileges of the application's database user.

The attack flow involves:

  1. Authenticating to Pimcore with administrative credentials
  2. Crafting a malicious DataObject class definition with SQL injection payload in the composite index metadata
  3. Importing or saving the crafted class definition through the admin interface
  4. The backend processes the definition and executes the injected SQL commands

For technical details on the vulnerability mechanism, refer to the Fluid Attacks Security Advisory.

Detection Methods for CVE-2026-5394

Indicators of Compromise

  • Unusual SQL query patterns in database logs originating from Pimcore application queries
  • Unexpected DataObject class definition imports or modifications in Pimcore audit logs
  • Database errors or anomalies following class definition operations
  • Evidence of data exfiltration or unauthorized database modifications

Detection Strategies

  • Monitor database query logs for SQL syntax errors or unusual query structures originating from the Pimcore application
  • Implement Web Application Firewall (WAF) rules to detect SQL injection patterns in administrative endpoints
  • Enable and review Pimcore application logs for suspicious class definition import activities
  • Deploy database activity monitoring to detect anomalous query patterns

Monitoring Recommendations

  • Configure alerting for failed or unusual SQL queries against the Pimcore database
  • Establish baseline metrics for DataObject class definition operations and alert on deviations
  • Implement real-time monitoring of administrative user activities within Pimcore
  • Review access logs for the /admin/ endpoints associated with class definition management

How to Mitigate CVE-2026-5394

Immediate Actions Required

  • Review and audit administrative user accounts to ensure only trusted personnel have access to DataObject class definition functionality
  • Implement additional access controls to restrict who can import or modify class definitions
  • Monitor for any suspicious administrative activity related to class definitions
  • Consider temporarily disabling the class definition import functionality until a patch is applied

Patch Information

At the time of publication, users should monitor the Pimcore GitHub repository for security updates addressing this vulnerability. Organizations running Pimcore version 12.3.3 should prioritize upgrading to a patched version when available.

Review the Fluid Attacks Security Advisory for additional remediation guidance.

Workarounds

  • Implement strict role-based access control to limit administrative privileges for class definition operations
  • Deploy a Web Application Firewall (WAF) with SQL injection detection rules in front of the Pimcore application
  • Enable database query logging and monitoring to detect potential exploitation attempts
  • Consider network segmentation to limit database access from the application tier
bash
# Example: Restrict access to admin endpoints at the web server level
# Apache configuration example
<Location "/admin/class">
    Require ip 10.0.0.0/8
    Require ip 192.168.0.0/16
</Location>

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

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