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Vulnerability Database/CVE-2026-76571

CVE-2026-76571: Joomla Fabrik Extension SQLi Vulnerability

CVE-2026-76571 is an unauthenticated SQL injection vulnerability in Joomla Fabrik Extension affecting versions before 4.7.2. Attackers can exploit filter conditions to gain full database read access. This post covers technical details, affected versions, impact assessment, and mitigation strategies.

Published:

CVE-2026-76571 Overview

CVE-2026-76571 is an unauthenticated SQL injection vulnerability in the Fabrik extension for Joomla, developed by fabrikar.com. The flaw affects Fabrik versions prior to 4.7.2. The condition parameter passed to a list filter is concatenated verbatim into the WHERE clause built by the getFilterQuery() function. An unauthenticated remote attacker can inject arbitrary SQL through the filter condition, resulting in full read access to the underlying database. The vulnerability is classified under CWE-89: Improper Neutralization of Special Elements used in an SQL Command.

Critical Impact

An unauthenticated attacker can extract the entire contents of the Joomla database, including credentials, session data, and application secrets, without user interaction.

Affected Products

  • Fabrik extension for Joomla, versions prior to 4.7.2
  • Joomla installations that include the Fabrik list component
  • Public-facing Joomla sites exposing Fabrik list filters

Discovery Timeline

  • 2026-08-22 - CVE-2026-76571 published to the National Vulnerability Database (NVD)
  • 2026-08-26 - Last updated in NVD database

Technical Details for CVE-2026-76571

Vulnerability Analysis

Fabrik is a Joomla extension that renders database-backed lists and forms. The list component accepts filter parameters through HTTP requests to narrow the records displayed. One of these parameters, condition, specifies the SQL comparison operator used when constructing the query.

Instead of validating the condition value against an allow-list of operators, Fabrik concatenates it directly into the SQL WHERE clause assembled by getFilterQuery(). The extension does not require authentication to access list views, so any unauthenticated visitor can supply arbitrary SQL fragments.

Attackers can leverage classic SQL injection techniques such as UNION SELECT statements, boolean-based blind queries, or time-based extraction to enumerate schemas and exfiltrate data.

Root Cause

The root cause is missing input sanitization and parameterization in getFilterQuery(). The condition parameter is treated as trusted SQL syntax rather than untrusted user input. No prepared statements, escaping, or allow-list validation is applied before the value reaches the database driver.

Attack Vector

Exploitation occurs over the network against any Fabrik list URL that accepts filter parameters. The attacker crafts an HTTP request that supplies malicious SQL in the condition filter field. The Fabrik backend appends this string to the generated query, and MySQL executes the attacker-controlled clause. Because authentication is not required, the attack surface includes every publicly reachable Fabrik list on a vulnerable site.

No verified public proof-of-concept code has been referenced in the advisory. See the Fabrikar homepage for vendor updates.

Detection Methods for CVE-2026-76571

Indicators of Compromise

  • HTTP requests to Joomla endpoints containing com_fabrik or view=list with unusual condition parameter values such as SQL keywords (UNION, SELECT, SLEEP, BENCHMARK).
  • Database error messages or 500 responses correlated with Fabrik list requests.
  • Anomalous query patterns in MySQL general or slow query logs referencing Fabrik-managed tables from unauthenticated sessions.
  • Outbound connections from the Joomla web server following suspicious list requests, indicating potential data exfiltration.

Detection Strategies

  • Deploy web application firewall (WAF) signatures that inspect Fabrik filter parameters for SQL metacharacters and reserved keywords.
  • Correlate web access logs with database query logs to identify requests that trigger unexpected query structures.
  • Alert on repeated boolean-based or time-based response patterns from a single source IP against Fabrik URLs.

Monitoring Recommendations

  • Enable verbose logging on the Joomla application layer and forward logs to a centralized analytics platform for query analysis.
  • Monitor MySQL for query volume spikes, information_schema reads, and unauthenticated access patterns against Fabrik tables.
  • Track authentication and session-token tables for anomalous read activity that may indicate credential harvesting.

How to Mitigate CVE-2026-76571

Immediate Actions Required

  • Upgrade Fabrik to version 4.7.2 or later on all Joomla installations.
  • Audit all publicly reachable Fabrik list URLs and temporarily restrict access if patching cannot be applied immediately.
  • Review database and web server logs for signs of prior exploitation, focusing on requests containing the condition parameter.
  • Rotate credentials, API keys, and session secrets stored in the Joomla database if compromise is suspected.

Patch Information

The vendor has addressed the vulnerability in Fabrik 4.7.2. Administrators should download the latest release from the Fabrikar homepage and apply it through the Joomla extension manager. Verify the installed version through the Joomla administrator console after upgrade.

Workarounds

  • Place the Joomla site behind a WAF with rules blocking SQL metacharacters in Fabrik condition parameters.
  • Restrict Fabrik list views to authenticated users through Joomla access control lists until patching is complete.
  • Apply the principle of least privilege to the MySQL account used by Joomla, limiting it to the minimum required tables and privileges.
  • Disable or unpublish Fabrik list components that are not actively in production use.
bash
# Configuration example: restrict Fabrik list access via .htaccess
<LocationMatch "index\.php\?option=com_fabrik">
    Require ip 10.0.0.0/8
    Require ip 192.168.0.0/16
</LocationMatch>

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

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