CVE-2026-45549

June 10, 2026, 5:16 p.m.

8.5
High

Description

Roxy-WI is a web interface for managing Haproxy, Nginx, Apache and Keepalived servers. In versions 8.2.6.4 and prior, agent_action (app/routes/smon/agent_routes.py:166-179) has decorators @bp.post('/agent/action/<action>') and @jwt_required() only — no role check, no group ownership check on the server_ip form field. Any authenticated user, including role 4 (guest), can start, stop, or restart the roxy-wi-smon-agent systemd unit on any server they can name. Roxy-WI executes the systemd action over its own SSH credentials (passwordless sudo), so the action runs as root on the target. At time of publication, there are no publicly available patches.

Product(s) Impacted

Vendor Product Versions
Roxy-wi
  • Roxy-wi
  • *
Haproxy
  • Haproxy
  • *
Nginx
  • Nginx
  • *
Apache
  • Http Server
  • *
Keepalived
  • Keepalived
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-862
Missing Authorization
The product does not perform an authorization check when an actor attempts to access a resource or perform an action.

*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 roxy-wi roxy-wi / / / / / / / /
a haproxy haproxy / / / / / / / /
a nginx nginx / / / / / / / /
a apache http_server / / / / / / / /
a keepalived keepalived / / / / / / / /

CVSS Score

8.5 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: CHANGED
  • Confidentiality Impact: NONE
  • Integrity Impact: LOW
  • Availability Impact: HIGH
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:N/I:L/A:H

    View Vector String

Timeline

Published: June 10, 2026, 3:16 p.m.
Last Modified: June 10, 2026, 5:16 p.m.

Status : Received

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.