CrowdSecLive Exploit Tracker
Limited ExploitationCVE-2021-24786Public Exploit

Download Monitor - SQLi (CVE-2021-24786)

PublishedJan 3, 2022
First SeenJul 5, 2026
Last Seen
Reported
CVSS7.2
DM
Download MonitorDownload Monitor
wordpresscms

Description

The Download Monitor WordPress plugin before 4.4.5 does not properly validate and escape the "orderby" GET parameter before using it in a SQL statement when viewing the logs, leading to an SQL Injection issue

psychologyCrowdSec Analysis

CVE-2021-24786 is an SQL injection vulnerability in the Download Monitor WordPress plugin prior to version 4.4.5, caused by improper validation and escaping of the "orderby" GET parameter. This flaw could allow authenticated attackers to manipulate database queries, potentially leading to unauthorized data access, data modification, or even complete compromise of the affected WordPress site.

CrowdSec has been tracking this vulnerability and its exploits since 30th of March 2026.

CrowdSec has not observed any significant exploitation activity targeting CVE-2021-24786 across its network. As a result, no community-driven trend analysis is available for this vulnerability at this time.

Attackers exploit the /wp-admin/edit.php endpoint with the post_type=dlm_download and page=download-monitor-logs parameters, injecting SQL code via the orderby parameter to execute arbitrary SQL commands on vulnerable WordPress sites running the Download Monitor plugin.

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EventDate
CVE Published2022-01-03
Rule Released2026-03-30
CrowdSec First Seen2026-07-05

Related Weaknesses

CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.

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External References