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Limited ExploitationCVE-2024-51482Public Exploit

ZoneMinder - SQLi (CVE-2024-51482)

PublishedOct 31, 2024
First SeenOct 26, 2026
Last Seen
Reported
CVSS10.0
ZoneMinder
ZoneMinderZoneMinder
web_application

Description

ZoneMinder is a free, open source closed-circuit television software application. ZoneMinder v1.37.* <= 1.37.64 is vulnerable to boolean-based SQL Injection in function of web/ajax/event.php. This is fixed in 1.37.65.

psychologyCrowdSec Analysis

CVE-2024-51482 is a critical SQL injection vulnerability in ZoneMinder versions up to 1.37.64, specifically within the web/ajax/event.php function. Attackers with low privileges can exploit this flaw to manipulate database queries, potentially leading to unauthorized data access, data modification, or complete system compromise. This vulnerability poses a significant risk for remote attacks and has been addressed in version 1.37.65.

CrowdSec has been tracking this vulnerability and its exploits since 21st of January 2026.

CrowdSec has not observed any significant exploitation activity targeting CVE-2024-51482 across its network. As a result, no community-driven trend analysis is available for this vulnerability at this time.

Attackers exploit this vulnerability by sending crafted requests to /zm/index.php with parameters such as view=request, request=event, and action=removetag, injecting SQL payloads into the tid parameter to manipulate the backend database.

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EventDate
CVE Published2024-10-31
Rule Released2026-01-21
CrowdSec First Seen2026-10-26

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