CVE-2025-63551

Nov. 7, 2025, 4:15 p.m.

7.5
High

Description

A Server-Side Request Forgery (SSRF) vulnerability, achievable through an XML External Entity (XXE) injection, exists in MetInfo Content Management System (CMS) thru 8.1. This flaw stems from a defect in the XML parsing logic, which allows an attacker to construct a malicious XML entity that forces the server to initiate an HTTP request to an arbitrary internal or external network address. Successful exploitation could lead to internal network reconnaissance, port scanning, or the retrieval of sensitive information. The vulnerability may be present in the backend API called by or associated with the path `/admin/#/webset/?head_tab_active=0`, where user-provided XML data is processed.

Product(s) Impacted

Vendor Product Versions
Metinfo
  • Metinfo Cms
  • <8.1

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-611
Improper Restriction of XML External Entity Reference
The product processes an XML document that can contain XML entities with URIs that resolve to documents outside of the intended sphere of control, causing the product to embed incorrect documents into its output.

*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 metinfo metinfo_cms <8.1 / / / / / / /

CVSS Score

7.5 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: Nov. 6, 2025, 7:15 p.m.
Last Modified: Nov. 7, 2025, 4:15 p.m.

Status : Awaiting Analysis

CVE has been marked for Analysis. Normally once in this state the CVE will be analyzed by NVD staff within 24 hours.

More info

Source

cve@mitre.org

*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.