CVE-2026-43985
June 4, 2026, 7:16 p.m.
8.8
High
Description
Tautulli is a Python based monitoring and tracking tool for Plex Media Server. Versions prior to 2.17.1 expose `configUpdate` as a state-changing administrator endpoint, but the route does not enforce `POST` and does not use any anti-CSRF token. In the default form and JWT-based authentication mode, the administrator session cookie is issued with `SameSite=Lax`, which still permits top-level cross-site navigation requests. An attacker can exploit this by luring a logged-in administrator to a malicious page that submits a cross-site request to `/configUpdate` and overwrites the local administrator username and password. The attacker can then sign in directly with the chosen credentials and take over the Tautulli administrative interface. Version 2.17.1 patches the issue.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Tautulli |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-352
Cross-Site Request Forgery (CSRF)
The web application does not, or can not, sufficiently verify whether a well-formed, valid, consistent request was intentionally provided by the user who submitted the request.
*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 | <2.17.1 | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: HIGH
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Timeline
Published: June 4, 2026, 4:16 p.m.
Last Modified: June 4, 2026, 7:16 p.m.
Last Modified: June 4, 2026, 7:16 p.m.
Status : Deferred
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
*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.