CVE-2023-27481
Published: 07 March 2023
Summary
CVE-2023-27481 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Monospace Directus. Its CVSS base score is 4.3 (Medium).
Operationally, ranked in the top 46.2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-1055
Vulnerability details
Directus is a real-time API and App dashboard for managing SQL database content. In versions prior to 9.16.0 users with read access to the `password` field in `directus_users` can extract the argon2 password hashes by brute forcing the export functionality…
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combined with a `_starts_with` filter. This allows the user to enumerate the password hashes. Accounts cannot be taken over unless the hashes can be reversed which is unlikely with current hardware. This problem has been patched by preventing any hashed/concealed field to be filtered against with the `_starts_with` or other string operator in version 9.16.0. Users are advised to upgrade. Users unable to upgrade may mitigate this issue by ensuring that no user has `read` access to the `password` field in `directus_users`.
- 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.