djangoproject Django up to 5.2.15/6.0.6 GDALRaster contrib/gis/gdal memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.0 | $5k-$25k | 0.00 |
Summary
A vulnerability, which was classified as critical, has been found in djangoproject Django up to 5.2.15/6.0.6. This vulnerability affects unknown code of the file contrib/gis/gdal of the component GDALRaster. The manipulation leads to memory corruption. This vulnerability is listed as CVE-2026-53877. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability, which was classified as critical, has been found in djangoproject Django up to 5.2.15/6.0.6. This issue affects an unknown functionality of the file contrib/gis/gdal of the component GDALRaster. The manipulation with an unknown input leads to a memory corruption vulnerability. Using CWE to declare the problem leads to CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
An issue was discovered in Django 6.0 before 6.0.7 and 5.2 before 5.2.16. `django.contrib.gis.gdal.GDALRaster` over-reads its in-memory buffer when constructed from a bytes object, which can disclose adjacent memory or cause service degradation via a potential segmentation fault when the `vsi_buffer` property is accessed. Earlier, unsupported Django series (such as 5.0.x, 4.1.x, and 3.2.x) were not evaluated and may also be affected. Django would like to thank Bence Nagy for reporting this issue.
It is possible to read the advisory at docs.djangoproject.com. The identification of this vulnerability is CVE-2026-53877 since 06/11/2026. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 07/07/2026).
Upgrading to version 5.2.16 or 6.0.7 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
- 5.2.0
- 5.2.1
- 5.2.2
- 5.2.3
- 5.2.4
- 5.2.5
- 5.2.6
- 5.2.7
- 5.2.8
- 5.2.9
- 5.2.10
- 5.2.11
- 5.2.12
- 5.2.13
- 5.2.14
- 5.2.15
- 6.0.0
- 6.0.1
- 6.0.2
- 6.0.3
- 6.0.4
- 6.0.5
- 6.0.6
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.3VulDB Meta Temp Score: 6.0
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Upgrade: Django 5.2.16/6.0.7
Timeline
06/11/2026 CVE reserved07/07/2026 Advisory disclosed
07/07/2026 VulDB entry created
07/07/2026 VulDB entry last update
Sources
Advisory: docs.djangoproject.comStatus: Confirmed
CVE: CVE-2026-53877 (🔒)
GCVE (CVE): GCVE-0-2026-53877
GCVE (VulDB): GCVE-100-376643
Entry
Created: 07/07/2026 17:10Changes: 07/07/2026 17:10 (55)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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