CVE-2026-15307 (GCVE-0-2026-15307)
Vulnerability from cvelistv5 – Published: 2026-08-04 15:48 – Updated: 2026-08-04 17:21
VLAI
EPSS
VEX
Title
Server-side file-write and request forgery via spatial lookups
Summary
An issue was discovered in Django 5.2 before 5.2.17 and 6.0 before 6.0.8.
GeoDjango spatial lookups optimistically parse the right-hand-side value as a raster by passing it to the `django.contrib.gis.gdal.GDALRaster` constructor. Any value used in a spatial lookup against a `GeometryField` or `RasterField` reaches this constructor, including untrusted input, for example a spatial-field filter submitted through the Django admin changelist query string by a staff user with view permission. A `dict`, or a `str` holding its JSON representation, is opened in write mode regardless of the constructor's `write=False` default, allowing a file with an attacker-chosen name and contents to be written through a file-backed GDAL driver. Any other `str` is treated as a datasource, allowing an outbound network request through a GDAL virtual filesystem handler. Writing a file to a location later imported by the application can result in remote code execution.
Earlier, unsupported Django series (such as 5.1.x, 5.0.x, and 4.2.x) were not evaluated and may also be affected.
Django would like to thank Bence Nagy, localhost-detect, and kimchunbok_ for reporting this issue.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
Assigner
References
7 references
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| djangoproject | Django |
Affected:
6.0 , < 6.0.8
(python)
Unaffected: 6.0.8 (python) Affected: 5.2 , < 5.2.17 (python) Unaffected: 5.2.17 (python) |
Date Public
2026-08-04 10:00
Credits
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Writing a file to a location later imported by the application can result in remote code execution.\u003c/p\u003e\u003cp\u003eEarlier, unsupported Django series (such as 5.1.x, 5.0.x, and 4.2.x) were not evaluated and may also be affected.\u003c/p\u003e\u003cp\u003eDjango would like to thank Bence Nagy, localhost-detect, and kimchunbok_ for reporting this issue.\u003c/p\u003e\", \"base64\": false}]}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-73\", \"description\": \"CWE-73: External Control of File Name or Path\"}, {\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-918\", \"description\": \"CWE-918: Server-Side Request Forgery (SSRF)\"}]}], \"providerMetadata\": {\"orgId\": \"6a34fbeb-21d4-45e7-8e0a-62b95bc12c92\", \"shortName\": \"DSF\", \"dateUpdated\": \"2026-08-04T15:48:18.829Z\"}}}",
"cveMetadata": "{\"cveId\": \"CVE-2026-15307\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2026-08-04T17:21:58.510Z\", \"dateReserved\": \"2026-07-09T16:50:57.960Z\", \"assignerOrgId\": \"6a34fbeb-21d4-45e7-8e0a-62b95bc12c92\", \"datePublished\": \"2026-08-04T15:48:18.829Z\", \"assignerShortName\": \"DSF\"}",
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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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.
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