CVE-2025-15479

Jan. 8, 2026, 6:08 p.m.

5.1
Medium

Description

Stored cross-site scripting (XSS, CWE-79) in the survey content and administration functionality in Data Illusion Zumbrunn NGSurvey Enterprise Edition 3.6.4 on all supported platforms ( on Windows and Linux servers ) allows authenticated remote users with survey creation or edit privileges to execute arbitrary JavaScript in other users’ browsers, steal session information and perform unauthorized actions on their behalf via crafted survey content that is rendered without proper output encoding.

Product(s) Impacted

Vendor Product Versions
Data Illusion
  • Zumbrunn Ngsurvey Enterprise Edition
  • 3.6.4

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 data_illusion zumbrunn_ngsurvey_enterprise_edition 3.6.4 / / / / / / /

CVSS Score

5.1 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: PASSIVE
  • 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:P/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: Jan. 7, 2026, 2:15 p.m.
Last Modified: Jan. 8, 2026, 6:08 p.m.

Status : Awaiting Analysis

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

More info

Source

64c5ae8f-7972-4697-86a0-7ada793ac795

*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.