CVE-2023-53948: Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') in cat03 Lilac-Reloaded
Lilac-Reloaded for Nagios 2.0.8 contains a remote code execution vulnerability in the autodiscovery feature that allows attackers to inject arbitrary commands. Attackers can exploit the lack of input filtering in the nmap_binary parameter to execute a reverse shell by sending a crafted POST request to the autodiscovery endpoint.
AI Analysis
Technical Summary
CVE-2023-53948 identifies a critical OS command injection vulnerability in the Lilac-Reloaded plugin for Nagios version 2.0.8. The flaw resides in the autodiscovery feature, specifically in the handling of the nmap_binary parameter, which lacks proper input sanitization. This improper neutralization of special elements allows an unauthenticated remote attacker to send a crafted POST request to the autodiscovery endpoint, injecting arbitrary OS commands. The vulnerability enables attackers to execute reverse shells, thereby gaining remote code execution capabilities on the affected system. The vulnerability is remotely exploitable over the network without requiring any privileges or user interaction, significantly increasing its risk profile. The CVSS 4.0 vector (AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N) indicates network attack vector, low attack complexity, no privileges or user interaction required, and high impact on confidentiality, integrity, and availability. Although no public exploits have been reported yet, the critical nature of this vulnerability demands immediate attention. The affected product, Lilac-Reloaded, is a plugin used with Nagios, a widely deployed open-source network monitoring system, often utilized in enterprise and critical infrastructure environments for automated network discovery and monitoring.
Potential Impact
The impact of CVE-2023-53948 on European organizations can be severe. Successful exploitation results in remote code execution, allowing attackers to fully compromise affected systems. This can lead to unauthorized data access, disruption of monitoring services, and lateral movement within networks. For organizations relying on Nagios with Lilac-Reloaded for network monitoring and autodiscovery, this could mean loss of visibility into network health and potential blind spots for other attacks. Critical infrastructure sectors such as energy, telecommunications, finance, and government agencies in Europe are particularly at risk due to their dependence on robust monitoring solutions. The lack of authentication and user interaction requirements lowers the barrier for attackers, increasing the likelihood of exploitation. Additionally, compromised monitoring systems can be used as pivot points for broader attacks, potentially impacting confidentiality, integrity, and availability of critical services.
Mitigation Recommendations
To mitigate CVE-2023-53948, European organizations should immediately audit their use of Lilac-Reloaded with Nagios and disable the autodiscovery feature if not essential. Apply strict input validation and sanitization on the nmap_binary parameter to prevent command injection. If a patch or updated version from the vendor becomes available, prioritize its deployment. Network-level protections such as web application firewalls (WAFs) should be configured to detect and block suspicious POST requests targeting the autodiscovery endpoint. Employ network segmentation to isolate monitoring systems from critical infrastructure where possible. Monitor logs for unusual activity related to the autodiscovery feature and implement intrusion detection systems (IDS) to alert on potential exploitation attempts. Regularly review and update incident response plans to include scenarios involving monitoring system compromise. Finally, restrict access to Nagios and its plugins to trusted administrators and secure the management interfaces with strong authentication and encryption.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Sweden, Belgium, Poland, Finland
CVE-2023-53948: Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') in cat03 Lilac-Reloaded
Description
Lilac-Reloaded for Nagios 2.0.8 contains a remote code execution vulnerability in the autodiscovery feature that allows attackers to inject arbitrary commands. Attackers can exploit the lack of input filtering in the nmap_binary parameter to execute a reverse shell by sending a crafted POST request to the autodiscovery endpoint.
AI-Powered Analysis
Technical Analysis
CVE-2023-53948 identifies a critical OS command injection vulnerability in the Lilac-Reloaded plugin for Nagios version 2.0.8. The flaw resides in the autodiscovery feature, specifically in the handling of the nmap_binary parameter, which lacks proper input sanitization. This improper neutralization of special elements allows an unauthenticated remote attacker to send a crafted POST request to the autodiscovery endpoint, injecting arbitrary OS commands. The vulnerability enables attackers to execute reverse shells, thereby gaining remote code execution capabilities on the affected system. The vulnerability is remotely exploitable over the network without requiring any privileges or user interaction, significantly increasing its risk profile. The CVSS 4.0 vector (AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N) indicates network attack vector, low attack complexity, no privileges or user interaction required, and high impact on confidentiality, integrity, and availability. Although no public exploits have been reported yet, the critical nature of this vulnerability demands immediate attention. The affected product, Lilac-Reloaded, is a plugin used with Nagios, a widely deployed open-source network monitoring system, often utilized in enterprise and critical infrastructure environments for automated network discovery and monitoring.
Potential Impact
The impact of CVE-2023-53948 on European organizations can be severe. Successful exploitation results in remote code execution, allowing attackers to fully compromise affected systems. This can lead to unauthorized data access, disruption of monitoring services, and lateral movement within networks. For organizations relying on Nagios with Lilac-Reloaded for network monitoring and autodiscovery, this could mean loss of visibility into network health and potential blind spots for other attacks. Critical infrastructure sectors such as energy, telecommunications, finance, and government agencies in Europe are particularly at risk due to their dependence on robust monitoring solutions. The lack of authentication and user interaction requirements lowers the barrier for attackers, increasing the likelihood of exploitation. Additionally, compromised monitoring systems can be used as pivot points for broader attacks, potentially impacting confidentiality, integrity, and availability of critical services.
Mitigation Recommendations
To mitigate CVE-2023-53948, European organizations should immediately audit their use of Lilac-Reloaded with Nagios and disable the autodiscovery feature if not essential. Apply strict input validation and sanitization on the nmap_binary parameter to prevent command injection. If a patch or updated version from the vendor becomes available, prioritize its deployment. Network-level protections such as web application firewalls (WAFs) should be configured to detect and block suspicious POST requests targeting the autodiscovery endpoint. Employ network segmentation to isolate monitoring systems from critical infrastructure where possible. Monitor logs for unusual activity related to the autodiscovery feature and implement intrusion detection systems (IDS) to alert on potential exploitation attempts. Regularly review and update incident response plans to include scenarios involving monitoring system compromise. Finally, restrict access to Nagios and its plugins to trusted administrators and secure the management interfaces with strong authentication and encryption.
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Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulnCheck
- Date Reserved
- 2025-12-16T19:22:09.998Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6945c32cf5c5e8dffe81caf6
Added to database: 12/19/2025, 9:27:08 PM
Last enriched: 12/19/2025, 9:43:15 PM
Last updated: 12/20/2025, 12:14:32 AM
Views: 6
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