CVE-2025-48948

May 30, 2025, 8:15 p.m.

7.4
High

Description

Navidrome is an open source web-based music collection server and streamer. A permission verification flaw in versions prior to 0.56.0 allows any authenticated regular user to bypass authorization checks and perform administrator-only transcoding configuration operations, including creating, modifying, and deleting transcoding settings. In the threat model where administrators are trusted but regular users are not, this vulnerability represents a significant security risk when transcoding is enabled. Version 0.56.0 patches the issue.

Product(s) Impacted

Vendor Product Versions
Navidrome
  • Navidrome
  • <0.56.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-863
Incorrect Authorization
The product performs an authorization check when an actor attempts to access a resource or perform an action, but it does not correctly perform the check. This allows attackers to bypass intended access restrictions.

*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 navidrome navidrome <0.56.0 / / / / / / /

CVSS Score

7.4 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: PROOF_OF_CONCEPT
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P/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: May 30, 2025, 8:15 p.m.
Last Modified: May 30, 2025, 8:15 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.