CVE-2025-64178

Nov. 6, 2025, 10:15 p.m.

8.9
High

Description

Jellysweep is a cleanup tool for the Jellyfin media server. In versions 0.12.1 and below, /api/images/cache, used to download media posters from the server, accepted a URL parameter that was directly passed to the cache package, which downloaded the poster from this URL. This URL parameter can be used to make the Jellysweep server download arbitrary content. The API endpoint can only be used by authenticated users. This issue is fixed in version 0.13.0.

Product(s) Impacted

Vendor Product Versions
Jellyfin
  • Jellysweep
  • 0.12.1, 0.13.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-918
Server-Side Request Forgery (SSRF)
The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination.

*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 jellyfin jellysweep 0.12.1 / / / / / / /
a jellyfin jellysweep 0.13.0 / / / / / / /

CVSS Score

8.9 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: PRESENT
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:H/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: Nov. 6, 2025, 10:15 p.m.
Last Modified: Nov. 6, 2025, 10:15 p.m.

Status : Received

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.