CVE-2023-47619
Published: 13 December 2023
Summary
CVE-2023-47619 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Audiobookshelf Audiobookshelf. Its CVSS base score is 8.1 (High).
Operationally, ranked at the 31.0th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-51730
Vulnerability details
Audiobookshelf is a self-hosted audiobook and podcast server. In versions 2.4.3 and prior, users with the update permission are able to read arbitrary files, delete arbitrary files and send a GET request to arbitrary URLs and read the response. This…
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issue may lead to Information Disclosure. As of time of publication, no patches are available.
- 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.
Penetration testing attempts to access or extract sensitive data, revealing exposure of sensitive information to unauthorized actors.
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.