CVE-2026-3024

March 16, 2026, 2:53 p.m.

4.8
Medium

Description

Stored Cross-Site Scripting (XSS) vulnerability in the Wakyma web application, specifically in the endpoint 'vets.wakyma.com/configuracion/agenda/modelo-formulario-evento'. A user with permission to create personalized accounts could exploit this vulnerability simply by creating a malicious survey that would harm the entire veterinary team. At the same time, a user with low privileges could exploit this vulnerability to access unauthorized data and perform actions with elevated privileges.

Product(s) Impacted

Vendor Product Versions
Wakyma
  • Wakyma Web Application
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-79
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users.

*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 wakyma wakyma_web_application / / / / / / / /

CVSS Score

4.8 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: ACTIVE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:A/VC:N/VI:N/VA:N/SC:L/SI:L/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: March 16, 2026, 2:19 p.m.
Last Modified: March 16, 2026, 2:53 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

*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.