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CVE-2026-48553 is an authenticated remote code execution vulnerability in Nagios Core and Nagios XI caused by custom-variable macro injection through the Nagios Remote Data Processor (NRDP). It affects Nagios Core before version 4.5.13 and Nagios XI before version 2026R1.5. The vulnerability was published on August 12, 2026, and assigned by VulnCheck. It carries a CVSS v3.1 base score of 7.5 (High) and a CVSS v4.0 base score of 7.7 (High) (GitHub Advisory, Feedly).
The root cause is improper neutralization of special elements used in OS commands (CWE-78). When a custom variable defined on a host, service, or contact object is referenced in a shell-executed command line, Nagios fails to sanitize the macro value before passing it to the shell. An authenticated attacker with NRDP access can inject arbitrary OS commands by manipulating the custom variable's value. Exploitation requires a non-default configuration where a custom variable is both defined and referenced in a shell-executed command — this prerequisite is reflected in the CVSS v4.0 Attack Requirements metric being set to "Present." The fix in Nagios Core 4.5.13 added missing sanitization for custom variables (GitHub Advisory, Nagios Changelog).
Successful exploitation allows an authenticated attacker to execute arbitrary OS commands on the Nagios server with the privileges of the Nagios process. This results in high confidentiality, integrity, and availability impact to the vulnerable system, potentially enabling full system compromise, data exfiltration, persistence establishment, and lateral movement within the monitored infrastructure. Because Nagios monitoring servers typically have broad network access and credentials for monitored hosts, a compromised Nagios instance poses significant risk to the broader environment (GitHub Advisory, Feedly).
As of the disclosure date, there is no public proof-of-concept exploit and no evidence of active in-the-wild exploitation (Feedly). The NVD SSVC assessment classifies exploitation as "none" and the vulnerability as not automatable. The EPSS score is approximately 0.52%, placing it in the 42nd percentile for exploitation likelihood within 30 days. No threat actor attribution has been reported, and the vulnerability is not listed in the CISA Known Exploited Vulnerabilities (KEV) catalog (GitHub Advisory).
/nrdp/ on the Nagios web interface._MYVAR) referenced in shell-executed command definitions.; id > /tmp/pwned; or a reverse shell command).$_HOSTMYVAR$) in a shell-executed context, causing the injected OS command to execute on the server./nrdp/) with large or specially crafted payload bodies.;, |, $(), backticks); authentication events for NRDP from unexpected source IPs./tmp/) by the Nagios process; new cron jobs, SSH authorized keys, or scripts added under the Nagios service account's home directory.bash, sh, curl, wget, nc, python) visible in process listings; processes running as the nagios user performing network connections.Upgrade Nagios Core to version 4.5.13 or later, or Nagios XI to version 2026R1.5 or later, which include sanitization fixes for custom variable macros (Nagios Changelog, GitHub Advisory). If immediate patching is not feasible, restrict NRDP access to trusted IP addresses only using firewall rules or web server access controls. Additionally, audit all Nagios command definitions to identify and remove or refactor any shell-executed commands that reference custom variable macros ($_HOST*$, $_SERVICE*$, $_CONTACT*$), replacing shell execution with safer alternatives where possible (Feedly).
The vulnerability was credited to Gabriel "Texugo" Rodrigues in the Nagios Core 4.5.13 changelog, indicating responsible disclosure. VulnCheck published a dedicated advisory and was listed as the CVE assigner. Social media activity was limited, with a brief mention on Mastodon via RedPacketSecurity shortly after disclosure. No significant broader media coverage or notable researcher commentary beyond the initial advisory has been observed (Nagios Changelog, GitHub Advisory).
Source: This report was generated using AI
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