CVE-2025-27505 (GCVE-0-2025-27505)
Vulnerability from cvelistv5 – Published: 2025-06-10 14:52 – Updated: 2025-06-10 15:01Title
GeoServer Missing Authorization on REST API Index
Summary
GeoServer is an open source server that allows users to share and edit geospatial data. It is possible to bypass the default REST API security and access the index page. The REST API security handles rest and its subpaths but not rest with an extension (e.g., rest.html). The REST API index can disclose whether certain extensions are installed. This vulnerability is fixed in 2.26.3 and 2.25.6. As a workaround, in ${GEOSERVER_DATA_DIR}/security/config.xml, change the paths for the rest filter to /rest.*,/rest/** and change the paths for the gwc filter to /gwc/rest.*,/gwc/rest/** and restart GeoServer.
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-06-10 15:01 UTC
CWE
- CWE-862 - Missing Authorization
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/geoserver/geoserver/security/a… | x_refsource_CONFIRM |
| https://github.com/geoserver/geoserver/pull/8170 | x_refsource_MISC |
| https://osgeo-org.atlassian.net/browse/GEOS-11664 | x_refsource_MISC |
| https://osgeo-org.atlassian.net/browse/GEOS-11776 | x_refsource_MISC |
Impacted products
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: fa4e36a1-d15e-4d1f-8322-db459702bde3
Exploited: Yes
Timestamps
First Seen: 2025-11-20
Asserted: 2025-11-20
Scope
Notes: GeoServer Missing Authorization on REST API Index | Affected: Geoserver / geoserver | CVSS: 5.3 (MEDIUM) | EPSS: 0.01152 | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | GeoServer Missing Authorization on REST API Index |
| Cve Id | CVE-2025-27505 |
| Vendor | Geoserver |
| Ghsa Id | GHSA-H86G-X8MM-78M5 |
| Product | geoserver |
| Added Date | 2025-11-20T00:00:00.000Z |
| Cvss Score | 5.3 |
| Epss Score | 0.01152 |
| Previous Ids | |
| Cvss Severity | MEDIUM |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.65771 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2025-27505 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-10-02 09:09 CEST
| Updated: 2026-10-02 09:09 CEST
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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