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Media Library Assistant CVE-2026-32399

| EUVDEUVD-2026-11916 HIGH
SQL Injection (CWE-89)
2026-03-13 Patchstack
8.5
CVSS 3.1 · NVD
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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain

  1. Access
    Authenticate as logged-in user
  2. Exploit
    Submit crafted SQL payload in plugin parameter
  3. Execution
    Blind SQL injection executes against database
  4. Impact
    Extract sensitive data through time-based or boolean-based inference

Vulnerability Assessment

Weakness
CWE
OWASP Top 10:2025
A05:2025 - Injection
ASVS 5.0
V1 - Encoding and Sanitization Parameterized queries, prepared statements
MITRE ATT&CK

2 techniques across 2 tactics: Initial Access, Persistence

The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up.

Exploitation Conditions

Media Library Assistant plugin version 3.32 or earlier installed and activated. Attacker requires valid WordPress user login credentials (PR:L). Vulnerable parameter accepts unsanitized SQL input without proper prepared statements.

Impact

The CVSS 3.1 score of 8.5 indicates high severity with network-based attack vector (AV:N), low attack complexity (AC:L), and requirement for low privileges (PR:L). The scope change (S:C) suggests impacts beyond the vulnerable component, with high confidentiality impact (C:H) and low availability impact (A:L). However, the lack of KEV listing indicates no known active exploitation in the wild, and without EPSS data or confirmed POC availability, the real-world exploitation likelihood remains uncertain. The requirement for authentication (even with low privileges) significantly reduces the attack surface compared to unauthenticated vulnerabilities, making this a medium-priority issue for most organizations despite the high CVSS score.

Exploit ScenarioDerived

An attacker with low-privileged WordPress credentials (such as a subscriber or contributor account) could craft malicious input to plugin functions that process media library queries. By injecting SQL payloads and observing application behavior differences, the attacker could systematically extract database contents including user passwords, email addresses, and potentially sensitive content through blind SQL injection techniques, where each query reveals one bit of information based on timing or error responses.

This Week Schedule remediation this week. Why: HIGH severity (CVSS 7.0-8.9).
No patch listed yet 0.0% exploitation probability (EPSS)

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AnalysisAIv1 – Mar 13, 2026

Blind SQL injection in Media Library Assistant through version 3.32 allows authenticated attackers to execute arbitrary SQL queries over the network, potentially leading to unauthorized data access and service disruption. The vulnerability requires valid user credentials but no user interaction, making it exploitable by internal or compromised accounts with minimal effort. No patch is currently available for affected installations.

Earlier versions of this analysis (1)
v1 Mar 13, 2026 - 16:57 CVSS 8.5

A SQL injection vulnerability exists in the Media Library Assistant plugin for WordPress that allows authenticated users with low privileges to execute blind SQL injection attacks. The vulnerability affects all versions through 3.32 and enables attackers to extract sensitive database information including user credentials and potentially gain unauthorized access to other data. With a CVSS score of 8.5 and no current evidence of active exploitation (not in KEV), the vulnerability represents a significant risk for WordPress sites using this plugin.

RemediationAI

Upgrade the Media Library Assistant plugin to a version newer than 3.32 if available from the plugin developer. In the absence of specific patch information or vendor advisory links in the provided data, administrators should check the WordPress plugin repository or contact the plugin developer directly for update availability. As an interim mitigation, consider restricting access to WordPress admin functionality to trusted IP addresses only, implementing Web Application Firewall (WAF) rules to detect SQL injection attempts, and monitoring database query logs for suspicious activity.

Affected VersionsENISA

Media Library Assistant n/a ≤≤ 3.32

Affects your stack

Find out whether the stacks and servers you run are on an affected version.

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

Technical ContextAI · show details

The Media Library Assistant is a WordPress plugin that enhances media management capabilities within the WordPress content management system. The vulnerability stems from improper neutralization of special elements used in SQL commands (CWE-89), a classic SQL injection flaw where user input is not properly sanitized before being incorporated into database queries. This allows attackers to inject malicious SQL code that can be executed by the database engine, specifically through blind SQL injection techniques where data is extracted based on true/false responses rather than direct output.

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  • Exploit and PoC references, threat intelligence from 22 sources

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Severity by source

NVD PRIMARY 8.5 HIGH
AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:L

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Changed
Confidentiality
High
Integrity
None
Availability
Low

DescriptionCVE.org

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.

Executive ViewAI

Why It Matters

A high-severity SQL injection vulnerability affects Media Library Assistant versions 3.32 and earlier, potentially allowing attackers to extract sensitive data from organizational databases without detection. Organizations using this plugin face immediate risk of data breach and unauthorized access, with no vendor patch currently available.

Business Impact: High
Compensating Controls

Implement Web Application Firewall (WAF) rules to detect and block SQL injection attempts; restrict plugin access via IP whitelisting and network segmentation; disable Media Library Assistant if operationally feasible; enforce least-privilege database user accounts with read-only permissions where possible; enable database query logging and monitoring for anomalous activity; consider reverse proxy authentication layer in front of the affected application.

Threat Intelligence Overview

EPSS Score
0.0%
Top 95% exploitable
Data Quality
5 sources
Confidence: Medium

How this decision was reached

The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.

SignalValue
Severity HIGH
CISA KEV No
Public POC No
EPSS 0.0%
Patch available No
Active threat No
Deciding rule
HIGH severity (CVSS 7.0-8.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision· derived
Scheduled
Exploitation· derived
None
System Exposure· derived
Open
Automatable· derived
No
Human Impact
High

Priority Score

42
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +42
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

Attack Technique

SQL injection exploits the way applications construct database queries by mixing user input directly into SQL statements.

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