CVE-2026-3867

April 27, 2026, 6:57 p.m.

6.0
Medium

Description

An improper ownership management vulnerability has been identified in Moxa’s Secure Router. Because of improper ownership management, a low-privileged authenticated user may access a configuration file containing the hashed password of the administrative account. Successful exploitation of this vulnerability could allow an attacker to obtain sensitive information. Exploitation is only possible under a specific condition — when the configuration file has been exported. This vulnerability does not impact the integrity or availability of the affected product, and no confidentiality, integrity, or availability impact to the subsequent system has been identified.

Product(s) Impacted

Vendor Product Versions
Moxa
  • Secure Router
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-282
Improper Ownership Management
The product assigns the wrong ownership, or does not properly verify the ownership, of an object or resource.

*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 moxa secure_router / / / / / / / /

CVSS Score

6.0 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: PRESENT
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/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 27, 2026, 4:16 a.m.
Last Modified: April 27, 2026, 6:57 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.