CVE-2026-32399 in Media LIbrary Assistant Plugin
Summary
by MITRE • 03/13/2026
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in David Lingren Media LIbrary Assistant media-library-assistant allows Blind SQL Injection.This issue affects Media LIbrary Assistant: from n/a through <= 3.32.
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Analysis
by VulDB Data Team • 03/15/2026
The vulnerability identified as CVE-2026-32399 represents a critical SQL injection flaw within the David Lingren Media Library Assistant plugin, specifically affecting versions up to and including 3.32. This weakness falls under the Common Weakness Enumeration category CWE-89 which defines SQL injection as the insertion of malicious SQL code into input fields for execution by the database. The vulnerability manifests as a blind SQL injection attack vector that allows remote attackers to manipulate database queries without direct feedback, making detection and exploitation more challenging. The affected plugin, Media Library Assistant, is designed to enhance WordPress media management capabilities, making this vulnerability particularly concerning for websites relying on its functionality.
The technical implementation of this flaw occurs when user input parameters are not properly sanitized or escaped before being incorporated into SQL queries within the plugin's backend operations. Attackers can craft malicious input that alters the intended flow of database commands, potentially allowing them to extract sensitive information from the database, modify records, or even execute administrative commands. The blind nature of this injection means that attackers must rely on indirect methods to determine if their payloads have succeeded, typically through timing delays or conditional responses that reveal information about the underlying database structure. This vulnerability specifically impacts the plugin's handling of media library data processing, where user-supplied parameters are directly used in database queries without adequate input validation or parameterization.
The operational impact of this vulnerability extends beyond simple data theft, as it can enable complete database compromise and potential system takeover. An attacker exploiting this blind SQL injection could gain access to WordPress user credentials, media file metadata, and potentially sensitive system information stored in the database. The vulnerability's scope is particularly dangerous because it affects the core media library functionality, which is frequently used across WordPress installations. Given that many websites depend on robust media management systems, successful exploitation could lead to widespread data breaches, unauthorized content modification, or complete service disruption. The lack of direct output feedback in blind SQL injection attacks means that even successful exploitation may go unnoticed for extended periods, allowing attackers to establish persistent access or exfiltrate data gradually.
Mitigation strategies for this vulnerability should prioritize immediate plugin updates to versions that address the SQL injection flaw, as recommended by the vendor. Organizations should implement proper input validation and parameterized queries throughout their applications to prevent similar issues from occurring in the future. Database access controls should be reviewed and hardened, ensuring that applications use least privilege principles when connecting to database systems. Network-based protections such as web application firewalls can help detect and block malicious SQL injection attempts, though they should not be considered a complete solution. Security monitoring should include database query logging and anomaly detection to identify potential exploitation attempts. Additionally, regular security audits of third-party plugins and themes should be conducted to identify and remediate similar vulnerabilities before they can be exploited by threat actors. This vulnerability aligns with ATT&CK technique T1071.004 which covers application layer protocol traffic, and T1213.002 which addresses data from information repositories, highlighting the need for comprehensive defensive measures across multiple attack surface areas.