CVE-2026-43985
Published: 04 June 2026
Summary
CVE-2026-43985 is a high-severity CSRF (CWE-352) vulnerability. Its CVSS base score is 8.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 4.3th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-34285
Vulnerability details
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…
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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.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
CSRF in public-facing Tautulli web app directly enables initial access via account takeover on exposed service (CWE-352).
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Awareness training educates users on avoiding untrusted links and actions that can be exploited via CSRF.
Requiring user re-entry of credentials for sensitive actions prevents automated forgery of requests without active user participation.
Security testing regimens explicitly include checks for missing or ineffective anti-CSRF protections in web applications.
Detects anomalous request patterns consistent with cross-site request forgery.