CVE-2025-65442

Dec. 29, 2025, 5:15 p.m.

6.1
Medium

Description

DOM-based Cross-Site Scripting (XSS) vulnerability in 201206030 novel V3.5.0 allows remote attackers to execute arbitrary JavaScript code or disclose sensitive information (e.g., user session cookies) via a crafted "wvstest" parameter in the URL or malicious script injection into window.localStorage. The vulnerability arises from insufficient validation and encoding of user-controllable data in the book comment module: unfiltered user input is stored in the backend database (book_comment table, commentContent field) and returned via API, then rendered directly into the page DOM via Vue 3's v-html directive without sanitization. Even if modern browsers' built-in XSS filters block pop-up alerts, attackers can use concealed payloads to bypass interception and achieve actual harm.

Product(s) Impacted

Vendor Product Versions
201206030
  • Novel
  • 3.5.0

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 201206030 novel 3.5.0 / / / / / / /

CVSS Score

6.1 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: Dec. 29, 2025, 3:16 p.m.
Last Modified: Dec. 29, 2025, 5:15 p.m.

Status : Undergoing 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.