systeminformation 4.175.31.5 CMD INJ via networkInterfaces() (Node.js)
CVE-2026-44724 Published on May 27, 2026

systeminformation: Linux command injection in networkInterfaces() via unsanitized NetworkManager connection profile name
systeminformation is a System and OS information library for node.js. From 4.17.0 to 5.31.5, on Linux, systeminformation is vulnerable to command injection in networkInterfaces() when an active NetworkManager connection profile name contains shell metacharacters. The vulnerable value is obtained internally from real nmcli device status output. The library sanitizes the network interface name before using it in shell commands, but it does not apply equivalent sanitization to the parsed NetworkManager connection profile name. That unsanitized connectionName is then interpolated into three shell command strings executed through execSync(). This vulnerability is fixed in 5.31.6.

NVD

Vulnerability Analysis

CVE-2026-44724 is exploitable with local system access, and requires small amount of user privileges. This vulnerability is considered to have a low attack complexity. Public availability of a proof of concept (POC) exploit exists for CVE-2026-44724. The potential impact of an exploit of this vulnerability is considered to be very high.

Attack Vector:
LOCAL
Attack Complexity:
LOW
Privileges Required:
LOW
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
HIGH
Integrity Impact:
HIGH
Availability Impact:
HIGH

Weakness Type

What is a Shell injection Vulnerability?

The software constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component.

CVE-2026-44724 has been classified to as a Shell injection vulnerability or weakness.


Products Associated with CVE-2026-44724

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Red Hat Rhdh
 
Red Hat Openshift Ai
 
Red Hat Cryostat
 
Red Hat Multicluster Engine
 
Red Hat Acm
 

Affected Versions

sebhildebrandt systeminformation: Red Hat Developer Hub 1.9: Red Hat OpenShift AI (RHOAI): Red Hat Cryostat 4: Red Hat Multicluster Engine for Kubernetes: Red Hat Advanced Cluster Management for Kubernetes 2:

Exploit Probability

EPSS
0.48%
Percentile
37.78%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.