CVE-2026-111411 in FunnelKit Automations Plugin
Summary
by MITRE • 10/28/2026
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Aman FunnelKit Automations wp-marketing-automations allows Blind SQL Injection.This issue affects FunnelKit Automations: from n/a through 3.8.5.2.
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Analysis
by VulDB Data Team • 10/28/2026
The identified security flaw represents a classic instance of Improper Neutralization of Special Elements used in an SQL Command, commonly referred to as SQL Injection. This vulnerability is present within the wp-marketing-automations component of Aman FunnelKit Automations, specifically affecting versions ranging from n/a through 3.8.5.2. The core technical issue stems from a failure by the application code to properly sanitize or validate user-supplied input before incorporating it into dynamic SQL queries executed against the backend database. When an attacker submits maliciously crafted data containing SQL syntax elements such as quotes, semicolons, or comment markers, the web application inadvertently treats this input as executable code rather than literal string data. This breakdown in input validation allows the injected commands to alter the logic of the original query, effectively bypassing intended access controls and allowing unauthorized interaction with the database management system.
The specific manifestation of this vulnerability is characterized as a Blind SQL Injection attack vector. Unlike error-based or union-based injection techniques that provide immediate feedback through visible output on the web page, blind injection relies on observing indirect effects to deduce information from the database. In this scenario, the application does not return detailed database errors or query results directly in the HTTP response body when malicious input is processed. Instead, the attacker must infer data by analyzing subtle differences in the application's behavior, such as variations in page load times, conditional content rendering, or boolean-based responses. This method requires a more sophisticated approach where the attacker constructs queries that evaluate to true or false based on specific conditions, allowing for the systematic extraction of sensitive information bit by bit through iterative requests and careful observation of server-side reactions.
The operational impact of this vulnerability is severe due to the nature of marketing automation platforms which typically handle extensive volumes of personally identifiable information including customer names, email addresses, payment details, and behavioral tracking data. An attacker exploiting this blind SQL injection can potentially extract sensitive records from the WordPress database without direct visual confirmation during each step of the attack process. This capability enables unauthorized access to confidential user profiles, leading to significant privacy violations and potential identity theft scenarios. Furthermore, depending on the privileges granted to the database account used by the web application, an attacker might escalate their access beyond simple data exfiltration. They could potentially modify existing records to alter marketing campaigns or customer communications, delete critical configuration settings that disrupt service availability, or even execute administrative commands if the underlying database engine permits it through specific extensions like xp_cmdshell in Microsoft SQL Server environments, although this is less common in standard MySQL/MariaDB setups used by WordPress.
From a classification perspective, this vulnerability aligns with CWE-89: Improper Neutralization of Special Elements used in an SQL Command which defines the fundamental flaw in input handling. The attack methodology corresponds to ATT&CK technique T1059.004: SQL Injection under the Execution and Discovery tactics, where adversaries use structured query language commands to interact directly with databases for data access or system manipulation. Understanding these mappings is crucial for security teams as it facilitates alignment with broader threat intelligence frameworks and ensures that mitigation strategies address both the specific code defect and the associated attack patterns recognized by industry standards.
Mitigation efforts must prioritize immediate remediation of the vulnerable wp-marketing-automations component within the specified version range. The most effective technical solution involves upgrading FunnelKit Automations to a patched version where developers have implemented robust input validation and parameterized queries or prepared statements for all database interactions involving user-supplied data. Parameterization ensures that SQL commands are separated from data, preventing injected strings from being interpreted as executable code regardless of their content. In addition to software updates, organizations should enforce strict server-side validation rules that reject any input containing suspicious characters such as single quotes, double dashes, or semicolons unless they are part of a validated and expected format. Deploying Web Application Firewalls can also provide an additional layer of defense by detecting and blocking common SQL injection patterns in HTTP requests before they reach the application logic, although this should be viewed as a compensating control rather than a primary fix since sophisticated attackers may bypass basic WAF rules using encoding techniques or advanced blind extraction methods.