CVE-2026-3325

April 29, 2026, 9:16 a.m.

10.0
Critical

Description

SQL injection (SQLi) in MegaCMS v12.0.0, specifically in the “id_territorio” parameter of the “/web_comunications/cms/get_provincias” endpoint. The vulnerability arises from inadequate validation and sanitisation of user input. Specifically, via a POST request, the “id_territorio” parameter, used immediately after the registration form is submitted, could be manipulated by an unauthenticated attacker to execute arbitrary SQL queries.

Product(s) Impacted

Vendor Product Versions
Megacms
  • Megacms
  • 12.0.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-89
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component.

*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 megacms megacms 12.0.0 / / / / / / /

CVSS Score

10.0 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/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 29, 2026, 9:16 a.m.
Last Modified: April 29, 2026, 9:16 a.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.