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.
This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 8.8, indicating it can be exploited remotely over the network with relatively low complexity without requiring user interaction requiring only low-level privileges . The vulnerability impacts confidentiality (data exposure), integrity (unauthorized modifications), and availability (service disruption) for affected systems. Impacting 1 product from djangoproject organizations running these solutions should prioritize assessment and patching.
Reported in 2026, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.
2026-08-04T17:16:46.127
2026-08-18T16:29:03.070
Analyzed
6a34fbeb-21d4-45e7-8e0a-62b95bc12c92
CVSSv3.1: 8.8 (HIGH)
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | djangoproject | django | < 5.2.17 | Yes |
| Application | djangoproject | django | < 6.0.8 | Yes |
SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For djangoproject's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.