CVE-2025-30352
Published: 26 March 2025
Summary
CVE-2025-30352 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Monospace Directus. Its CVSS base score is 5.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Databases (T1213.006); ranked at the 34.5th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-8235
Vulnerability details
Directus is a real-time API and App dashboard for managing SQL database content. Starting in version 9.0.0-alpha.4 and prior to version 11.5.0, the `search` query parameter allows users with access to a collection to filter items based on fields they…
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do not have permission to view. This allows the enumeration of unknown field contents. The searchable columns (numbers & strings) are not checked against permissions when injecting the `where` clauses for applying the search query. This leads to the possibility of enumerating those un-permitted fields. Version 11.5.0 fixes the issue.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The vulnerability in the Directus search query parameter allows unauthorized users to enumerate sensitive data (e.g., emails, password hashes, access tokens) from unpermitted database fields via inference from search results, directly facilitating data collection from databases.
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.