CVE-2022-39359
Published: 26 October 2022
Summary
CVE-2022-39359 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Metabase Metabase. Its CVSS base score is 6.5 (Medium).
Operationally, ranked at the 44.4th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-41825
Vulnerability details
Metabase is data visualization software. Prior to versions 0.44.5, 1.44.5, 0.43.7, 1.43.7, 0.42.6, 1.42.6, 0.41.9, and 1.41.9, custom GeoJSON map URL address would follow redirects to addresses that were otherwise disallowed, like link-local or private-network. This issue is patched in…
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versions 0.44.5, 1.44.5, 0.43.7, 1.43.7, 0.42.6, 1.42.6, 0.41.9, and 1.41.9. Metabase no longer follow redirects on GeoJSON map URLs. An environment variable `MB_CUSTOM_GEOJSON_ENABLED` was also added to disable custom GeoJSON completely (`true` by default).
- 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.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
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.
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.