CVE-2025-63243

Nov. 19, 2025, 7:14 p.m.

4.6
Medium

Description

A reflected cross-site scripting (XSS) vulnerability exists in the password change functionality of Pixeon WebLaudos 25.1 (01). The sle_sSenha parameter to the loginAlterarSenha.asp file. An attacker can craft a malicious URL that, when visited by a victim, causes arbitrary JavaScript code to be executed in the victim's browser within the security context of the vulnerable application. This issue could allow attackers to steal session cookies, disclose sensitive information, perform unauthorized actions on behalf of the user, or conduct phishing attacks.

Product(s) Impacted

Vendor Product Versions
Pixeon
  • Weblaudos
  • 25.1

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 pixeon weblaudos 25.1 / / / / / / /

References

https://medium.com/@wagneralves_87750/cve-2025-63243-reflected-cross-site-scripting-in-loginalterarsenha-asp-via-sle-slogin-parameter-53808fbbeeee
https://www.pixeon.com/

Tags

cve@mitre.org
CWE-79
2025-11-19
CVE-2025-63243

CVSS Score

4.6 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: LOW
  • Integrity Impact: LOW
  • Availability Impact: NONE

    • CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:N

    View Vector String

Timeline

Published: Nov. 19, 2025, 3:15 p.m.
Last Modified: Nov. 19, 2025, 7:14 p.m.

Status : Awaiting Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

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.