CVE-2026-34375

March 27, 2026, 7:16 p.m.

8.2
High

Description

WWBN AVideo is an open source video platform. In versions up to and including 26.0, the YPTWallet Stripe payment confirmation page directly echoes the `$_REQUEST['plugin']` parameter into a JavaScript block without any encoding or sanitization. The `plugin` parameter is not included in any of the framework's input filter lists defined in `security.php`, so it passes through completely raw. An attacker can inject arbitrary JavaScript by crafting a malicious URL and sending it to a victim user. The same script block also outputs the current user's username and password hash via `User::getUserName()` and `User::getUserPass()`, meaning a successful XSS exploitation can immediately exfiltrate these credentials. Commit fa0bc102493a15d79fe03f86c07ab7ca1b5b63e2 fixes the issue.

Product(s) Impacted

Vendor Product Versions
Wwbn
  • Avideo
  • Yptwallet
  • *
  • *

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 wwbn avideo / / / / / / / /
a wwbn yptwallet / / / / / / / /

CVSS Score

8.2 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: March 27, 2026, 7:16 p.m.
Last Modified: March 27, 2026, 7:16 p.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.