OS Command Injection in LibreNMS Network Monitoring Platform

LibreNMS before 24.10.0 allows a remote attacker to execute arbitrary code via OS command injection involving AboutController.php's index(), SettingsController.php's update(), and PollDevice.php's initRrdDirectory().

Casky was already ahead

This CVE exploits attack patterns that Casky's 419matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

LibreNMS is a widely-deployed open-source network monitoring and management platform trusted by organizations globally. CVE-2024-51092 exposes a critical OS command injection vulnerability affecting versions before 24.10.0, where attackers can execute arbitrary system commands through three separate code paths in core controllers (AboutController, SettingsController, and PollDevice). This vulnerability carries a CVSS score of 9.1 (critical) and impacts any organization running vulnerable LibreNMS instances—particularly network operators, MSPs, and infrastructure teams who depend on this tool for monitoring critical systems. The multi-vector nature of this flaw (three injection points) significantly increases exploitation likelihood and blast radius, as attackers need only find one accessible endpoint to gain code execution at the privilege level of the LibreNMS application.

Casky's 419 matched security skills leverage Claude's extended reasoning to detect the attack patterns mapped to MITRE techniques TA0001 (Reconnaissance), TA0043 (Reconnaissance via Command and Scripting Interpreter), and TA0002 (Execution). Practitioners using Casky would identify suspicious patterns including: unsanitized input flowing into system command functions across the three vulnerable controllers, evidence of command chaining or metacharacter injection in request parameters, and OS-level command execution spawned from PHP processes running as the LibreNMS user. The platform's skill coverage would flag improper input validation in web request handlers, absence of command parameterization, and direct shell invocation—allowing security teams to distinguish this specific injection pattern from other code execution vectors and prioritize remediation of affected LibreNMS instances with version-specific detection and response guidance.

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Casky Risk Score

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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419 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2024-51092.

analyzing-android-malware-with-apktool

malware analysis · medium

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analyzing-apt-group-with-mitre-navigator

threat intelligence · low

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analyzing-bootkit-and-rootkit-samples

malware analysis · medium

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MITRE ATT&CK Techniques

TA0001 TA0043 TA0002

Investigate the attack patterns behind CVE-2024-51092

Casky has 419 skills that investigate the attack patterns behind CVE-2024-51092. Run one and get CVSS-scored findings in 3 minutes.

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