CVE-2023-50715
Published: 15 December 2023
Summary
CVE-2023-50715 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Home-Assistant Home-Assistant. Its CVSS base score is 4.3 (Medium).
Operationally, ranked at the 43.9th 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-2023-3237
Vulnerability details
Home Assistant is open source home automation software. Prior to version 2023.12.3, the login page discloses all active user accounts to any unauthenticated browsing request originating on the Local Area Network. Version 2023.12.3 contains a patch for this issue. When…
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starting the Home Assistant 2023.12 release, the login page returns all currently active user accounts to browsing requests from the Local Area Network. Tests showed that this occurs when the request is not authenticated and the request originated locally, meaning on the Home Assistant host local subnet or any other private subnet. The rationale behind this is to make the login more user-friendly and an experience better aligned with other applications that have multiple user-profiles. However, as a result, all accounts are displayed regardless of them having logged in or not and for any device that navigates to the server. This disclosure is mitigated by the fact that it only occurs for requests originating from a LAN address. But note that this applies to the local subnet where Home Assistant resides and to any private subnet that can reach it.
- 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.