CVE-2024-28193
Published: 13 March 2024
Summary
CVE-2024-28193 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Yooooomi Your Spotify. Its CVSS base score is 6.5 (Medium).
Operationally, ranked in the top 38.9% 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-2024-25314
Vulnerability details
your_spotify is an open source, self hosted Spotify tracking dashboard. YourSpotify version <1.8.0 allows users to create a public token in the settings, which can be used to provide guest-level access to the information of that specific user in YourSpotify.…
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The /me API endpoint discloses Spotify API access and refresh tokens to guest users. Attackers with access to a public token for guest access to YourSpotify can therefore obtain access to Spotify API tokens of YourSpotify users. As a consequence, attackers may extract profile information, information about listening habits, playlists and other information from the corresponding Spotify profile. In addition, the attacker can pause and resume playback in the Spotify app at will. This issue has been resolved in version 1.8.0. Users are advised to upgrade. There are no known workarounds for this issue.
- 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.