CVE-2025-66403

Dec. 2, 2025, 5:16 p.m.

4.6
Medium

Description

FileRise is a self-hosted web-based file manager with multi-file upload, editing, and batch operations. Prior to 2.2.3, a stored cross-site scripting (XSS) vulnerability exists in the Filerise application due to improper handling of uploaded SVG files. The application accepts user-supplied SVG uploads without sanitizing or restricting embedded script content. When a malicious SVG containing inline JavaScript or event-based payloads is uploaded, it is later rendered directly in the browser whenever viewed within the application. Because SVGs are XML-based and allow scripting, they execute in the origin context of the application, enabling full stored XSS. This vulnerability is fixed in 2.2.3.

Product(s) Impacted

Vendor Product Versions
Filerise
  • Filerise
  • <2.2.3

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 filerise filerise <2.2.3 / / / / / / /

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: Dec. 1, 2025, 11:15 p.m.
Last Modified: Dec. 2, 2025, 5:16 p.m.

Status : Awaiting Analysis

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

More info

Source

security-advisories@github.com

*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.