CVE-2026-50126 (GCVE-0-2026-50126)
Vulnerability from cvelistv5 – Published: 2026-08-18 16:36 – Updated: 2026-08-18 17:41
VLAI
EPSS
VEX
Title
adaguc-server GeoJSON coordinate parser (CConvertGeoJSON.cpp) vulnerable to out-of-bounds read and NULL pointer dereference
Summary
Adaguc-server is an open source geographical information system to visualize, combine, compare and share real-time meteorological, climatological and remote sensing data via OGC standards. Versions prior to 7.2.2 crash with a memory-safety fault when it parses a GeoJSON document whose geometry contains a malformed coordinate. The coordinate parser in `adagucserverEC/CConvertGeoJSON.cpp` indexes `pt.u.array.values[0]` and `pt.u.array.values[1]` and uses `polygon.u.array.length` as a loop bound without first validating the JSON node type or the coordinate length. A coordinate that is an empty array, a one-element array, a scalar, or `null` leads to an out-of-bounds heap read or a NULL pointer dereference. The same unchecked pattern is present in four geometry branches: `Polygon`, `LineString`, `MultiLineString` and `MultiPolygon`. The vulnerable parser runs whenever the server processes a local GeoJSON file, either a configured GeoJSON dataset or a GeoJSON file exposed through the `AutoResource` feature and requested by an unauthenticated WMS request. A crafted GeoJSON file reliably crashes the backend process that handles that request. Version 7.2.2 patches the vulnerability.
Severity
4 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-18 17:41 UTC
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/KNMI/adaguc-server/security/ad… | x_refsource_CONFIRM |
| https://github.com/KNMI/adaguc-server/pull/710 | x_refsource_MISC |
| https://github.com/KNMI/adaguc-server/commit/30df… | x_refsource_MISC |
| https://github.com/KNMI/adaguc-server/releases/ta… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| KNMI | adaguc-server |
Affected:
< 7.2.2
|
guessed |
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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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