CVE-2024-34711
Published: 10 June 2025
Summary
CVE-2024-34711 is a critical-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Osgeo Geoserver. Its CVSS base score is 9.3 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Data from Local System (T1005); ranked in the top 37.4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-17669
Vulnerability details
GeoServer is an open source server that allows users to share and edit geospatial data. An improper URI validation vulnerability exists that enables an unauthorized attacker to perform XML External Entities (XEE) attack, then send GET request to any HTTP…
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server. By default, GeoServer use PreventLocalEntityResolver class from GeoTools to filter out malicious URIs in XML entities before resolving them. The URI must match the regex (?i)(jar:file|http|vfs)[^?#;]*\\.xsd. But the regex leaves a chance for attackers to request to any HTTP server or limited file. Attacker can abuse this to scan internal networks and gain information about them then exploit further. GeoServer 2.25.0 and greater default to the use of ENTITY_RESOLUTION_ALLOWLIST and does not require you to provide a system property.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
SSRF via improper URI validation in XML processing enables internal network scanning for hosts and services (T1595.001, T1046) and reading limited local .xsd files (T1005).
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.
Penetration testing attempts to access or extract sensitive data, revealing exposure of sensitive information to unauthorized actors.
Identifies XML external entity processing via monitoring of unusual file/network access or resource usage.
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.