CVE-2026-31804

March 30, 2026, 8:16 p.m.

4.0
Low

Description

Tautulli is a Python based monitoring and tracking tool for Plex Media Server. Prior to version 2.17.0, the /pms_image_proxy endpoint accepts a user-supplied img parameter and forwards it to Plex Media Server's /photo/:/ transcode transcoder without authentication and without restricting the scheme or host. The endpoint is intentionally excluded from all authentication checks in webstart.py, any value of img beginning with http is passed directly to Plex, this causes the Plex Media Server process, which typically runs on the same host or internal network as Tautulli, with access to RFC-1918 address space, to issue an outbound HTTP request to any attacker-specified URL. This issue has been patched in version 2.17.0.

Product(s) Impacted

Vendor Product Versions
Tautulli
  • Tautulli
  • *
Plex
  • Plex Media Server
  • <2.17.0

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 tautulli tautulli / / / / / / / /
a plex plex_media_server <2.17.0 / / / / / / /

CVSS Score

4.0 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: March 30, 2026, 8:16 p.m.
Last Modified: March 30, 2026, 8:16 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.