CVE-2026-76904 (GCVE-0-2026-76904)
Vulnerability from cvelistv5 – Published: 2026-08-21 20:13 – Updated: 2026-08-25 03:56Title
GeoTools has unauthenticated SQL injection in the jsonArrayContains filter function against PostGIS layers
Summary
GeoTools is an open source Java library that provides tools for geospatial data. Starting in version 30.5 and prior to versions 33.6, 34.5, and 33.6, an SQL Injection Vulnerability is present when executing OGC Filters with PostGIS DataStore implementation: `jsonArrayContains` function; Requires PostGIS 12 or greater with a String or JSON field. For PostGIS 12 and greater `jsonArrayContains(<column>, <pointer>, <value>)` function writes `<value>` into generated SQL without escaping. Patches are available in versions 33.6, 34.5, and 33.6. No known workaround is available. To limit scope of SQL Injection the PostGIS connection pool should be configured with limited rights.
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-24 00:00 UTC
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
9 references
| URL | Tags |
|---|---|
| https://github.com/geotools/geotools/security/adv… | x_refsource_CONFIRM |
| https://github.com/geotools/geotools/pull/5829 | x_refsource_MISC |
| https://github.com/geotools/geotools/commit/d821c… | x_refsource_MISC |
| https://github.com/geotools/geotools/releases/tag/33.6 | x_refsource_MISC |
| https://github.com/geotools/geotools/releases/tag/34.5 | x_refsource_MISC |
| https://github.com/geotools/geotools/releases/tag/35.1 | x_refsource_MISC |
| https://osgeo-org.atlassian.net/browse/GEOT-7589 | x_refsource_MISC |
| https://osgeo-org.atlassian.net/browse/GEOT-7958 | x_refsource_MISC |
| https://osgeo-org.atlassian.net/browse/GEOT-7959 | x_refsource_MISC |
Impacted products
Shadowserver
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: da6cf3b0-d16a-4fea-8be2-2b7c512e5691
Exploited: Yes
Characteristics
Severity:
98.0
Timestamps
First Seen: 2026-08-24
Asserted: 2026-08-24
Last Seen: 2026-08-24
Scope
Asset Exposure: ['internet-facing']
Notes: Affected: Geoserver / Geoserver | Class: other-software | Severity: Critical (CVSS 9.8) | IoT: no | In CISA KEV: no | Honeypot connections on 2026-08-24: 1
Evidence
Type: Honeypot
Signal: In The Wild Attempts
Confidence: 70%
Source: shadowserver
Details
| 1D | 1 |
|---|---|
| Iot | no |
| Feed | Shadowserver Foundation honeypot/exploited-vulnerabilities |
| Type | http-scan |
| Class | other-software |
| 7D Avg | 0 |
| Vendor | Geoserver |
| 30D Avg | 0 |
| 90D Avg | 0 |
| Product | Geoserver |
| Cisa Kev | no |
| Connections | 1 |
| Observation Date | 2026-08-24 |
| Vulnerability Class | CVSS |
| Vulnerability Score | 9.8 |
| Vulnerability Severity | Critical |
References
Created: 2026-08-26 01:01 UTC
| Updated: 2026-08-26 01:01 UTC
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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.
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.
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