CVE-2024-32963
Published: 01 May 2024
Summary
CVE-2024-32963 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Navidrome Navidrome. Its CVSS base score is 4.2 (Medium).
Operationally, ranked in the top 42.3% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-1415
Vulnerability details
Navidrome is an open source web-based music collection server and streamer. In affected versions of Navidrome are subject to a parameter tampering vulnerability where an attacker has the ability to manipulate parameter values in the HTTP requests. The attacker is…
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able to change the parameter values in the body and successfully impersonate another user. In this case, the attacker created a playlist, added song, posted arbitrary comment, set the playlist to be public, and put the admin as the owner of the playlist. The attacker must be able to intercept http traffic for this attack. Each known user is impacted. An attacker can obtain the ownerId from shared playlist information, meaning every user who has shared a playlist is also impacted, as they can be impersonated. This issue has been addressed in version 0.52.0 and users are advised to upgrade. There are no known workarounds for this vulnerability.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
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.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.
By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
Retaining and monitoring training records confirms personnel have completed privacy and security awareness training on handling sensitive data, reducing the chance of unauthorized exposure due to lack of knowledge.