CVE-2025-13131

Nov. 14, 2025, 4:42 p.m.

8.5
High

Description

A vulnerability was found in Sonarr 4.0.15.2940. The impacted element is an unknown function of the file C:\ProgramData\Sonarr\bin\Sonarr.Console.exe of the component Service. Performing manipulation results in incorrect default permissions. The attack is only possible with local access. The vendor confirms this vulnerability but classifies it as a "low severity issue due to the default service user being used as it would either require someone to intentionally change the service to a highly privileged account or an attacker would need an admin level account". It is planned to fix this issue in the next major release v5.

Product(s) Impacted

Vendor Product Versions
Sonarr
  • Sonarr
  • 4.0.15.2940

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-266
Incorrect Privilege Assignment
A product incorrectly assigns a privilege to a particular actor, creating an unintended sphere of control for that actor.

*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 sonarr sonarr 4.0.15.2940 / / / / / / /

CVSS Score

8.5 / 10

CVSS Data - 4.0

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/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. 13, 2025, 10:15 p.m.
Last Modified: Nov. 14, 2025, 4:42 p.m.

Status : Awaiting Analysis

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

More info

Source

cna@vuldb.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.