CVE-2023-28442
Published: 24 March 2023
Summary
CVE-2023-28442 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Geosolutionsgroup Geonode. Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 41.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-32130
Vulnerability details
GeoNode is an open source platform that facilitates the creation, sharing, and collaborative use of geospatial data. Prior to versions 2.20.6, 2.19.6, and 2.18.7, anonymous users can obtain sensitive information about GeoNode configurations from the response of the `/geoserver/rest/about/status` Geoserver…
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REST API endpoint. The Geoserver endpoint is secured by default, but the configuration of Geoserver for GeoNode opens a list of REST endpoints to support some of its public-facing services. The vulnerability impacts both GeoNode 3 and GeoNode 4 instances. Geoserver security configuration is provided by `geoserver-geonode-ext`. A patch for 2.20.7 has been released which blocks access to the affected endpoint. The patch has been backported to branches 2.20.6, 2.19.7, 2.19.6, and 2.18.7. All the published artifacts and Docker images have been updated accordingly. A more advanced patch has been applied to the master and development versions, which require some changes to GeoNode code. They will be available with the next 4.1.0 release. The patched configuration only has an effect on new deployments. For existing setups, the patch must be applied manually inside the Geoserver data directory. The patched file must replace the existing `<geoserver_datadir>/security/rest.properties` file.
- 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.