CVE-2026-24893

April 14, 2026, 9:16 p.m.

8.8
High

Description

openITCOCKPIT is an open source monitoring tool built for different monitoring engines. openITCOCKPIT Community Edition prior to version 5.5.2 contains a command injection vulnerability that allows an authenticated user with permission to add or modify hosts to execute arbitrary OS commands on the monitoring backend. The vulnerability arises because user-controlled host attributes (specifically the host address) are expanded into monitoring command templates without validation, escaping, or quoting. These templates are later executed by the monitoring engine (Nagios/Icinga) via a shell, resulting in remote code execution. Version 5.5.2 patches the issue.

Product(s) Impacted

Vendor Product Versions
Openitcockpit
  • Openitcockpit Community Edition
  • <5.5.2
Nagios
  • Nagios
  • *
Icinga
  • Icinga
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-20
Improper Input Validation
The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a openitcockpit openitcockpit_community_edition <5.5.2 / / / / / / /
a nagios nagios / / / / / / / /
a icinga icinga / / / / / / / /

CVSS Score

8.8 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

    View Vector String

Timeline

Published: April 14, 2026, 9:16 p.m.
Last Modified: April 14, 2026, 9:16 p.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.