CVE-2026-5131

April 17, 2026, 3:07 p.m.

6.9
Medium

Description

GREENmod uses named pipes for communication between plugins, the web portal, and the system service, but the access control lists for these pipes are configured incorrectly. This allows an attacker to communicate with the stream and upload any XML or JSON file, which will be processed by the named pipe with the privileges of the user under whose context the service is running. This allows for Server-Side Request Forgery to any Windows system on which the agent is installed and which provides communication via SMB or WebDav. This issue was fixed in version 2.8.33.

Product(s) Impacted

Vendor Product Versions
Greenmod
  • Greenmod
  • 2.8.33

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-918
Server-Side Request Forgery (SSRF)
The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination.

*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 greenmod greenmod 2.8.33 / / / / / / /

CVSS Score

6.9 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:N/SC:L/SI:L/SA:L/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: April 17, 2026, 11:16 a.m.
Last Modified: April 17, 2026, 3:07 p.m.

Status : Awaiting Analysis

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.