CVE-2024-34711

June 10, 2025, 3:15 p.m.

9.3
Critical

Description

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 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.

Product(s) Impacted

Vendor Product Versions
Geoserver
  • Geoserver
  • 2.25.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-200
Exposure of Sensitive Information to an Unauthorized Actor
The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a geoserver geoserver 2.25.0 / / / / / / /

CVSS Score

9.3 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: CHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: LOW
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N

    View Vector String

Timeline

Published: June 10, 2025, 3:15 p.m.
Last Modified: June 10, 2025, 3:15 p.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

security-advisories@github.com

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.