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high·Product Based Web Vulnerabilities·Updated Feb 9, 2026

CVE-2026-1207 Scanner

CVE-2026-1207 Scanner - SQL Injection vulnerability in Django

Est. Time~10 seconds
Scan TypeSingle Scan
Targetsurl
CostFree
2.2k
Times Used
continuous scan runs
5.8k
Continuously Checked
assets under CS
0
Vulnerabilities Found
confirmed findings
References
CVECVE-2026-1207
5.4
CVSSmedium
Exploitable remotely over the internet · low-privilege account sufficient.

An issue was discovered in 6.0 before 6.0.2, 5.2 before 5.2.11, and 4.2 before 4.2.28. Raster lookups on ``RasterField`` (only implemented on PostGIS) allows remote attackers to inject SQL via the band index parameter. 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 Tarek Nakkouch for reporting this issue.

Attack Vector
Network
Privileges Req.
Low
User Interaction
None
Affected
Djangoby djangoproject
AFFECTED< 6.0.2SAFE ✓≥ 6.0.2
Red Hat Ansible Automation Platform 2.5 for RHEL 8by Red Hat
AFFECTED< *SAFE ✓≥ *
Red Hat Ansible Automation Platform 2.5 for RHEL 9by Red Hat
AFFECTED< *SAFE ✓≥ *
Red Hat Ansible Automation Platform 2.6 for RHEL 9by Red Hat
AFFECTED< *SAFE ✓≥ *
Updated Aug 22, 2026View on NVD →
Detail

Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design. It is often used by developers to create complex, database-backed web applications with ease. The framework finds application across industries, including technology, finance, and healthcare, due to its robust feature set and versatility. Developers appreciate Django for its scalability, making it suitable for both simple and large-scale projects. Organizations also utilize Django for its strong security features and its ability to quickly prototype an application. Being open-source, it attracts a significant community of developers contributing to its continuous improvement.

The SQL Injection vulnerability in Django, identified as CVE-2026-1207, is a critical security flaw that allows remote attackers to execute arbitrary SQL commands. This vulnerability is present due to the improper sanitization of input, specifically in the band index parameter of the RasterField on PostGIS. Exploiting this vulnerability permits attackers to potentially access and modify database contents without authorization. Such vulnerabilities threaten data integrity and confidentiality, making them a significant concern for applications relying on Django versions that are vulnerable. Ensuring that applications do not have SQL Injection vulnerabilities is crucial because they can often lead to data breaches and unauthorized data manipulation.

The vulnerability specifically affects endpoints using RasterField on PostGIS, where the band parameter is not properly sanitized before use in SQL queries. By injecting crafted input into this parameter, attackers can manipulate SQL queries sent to the database. If the crafted input is executed, an SQL error that includes information about the database version can be observed. The template aims to identify these vulnerable endpoints by observing error messages indicative of improper input handling. The technical execution of the scan relies on detecting error states within the response, such as specific status codes and error messages returned from the server.

When exploited, this SQL Injection vulnerability could lead to unauthorized access to sensitive information, data modification, or even complete database compromise. Attackers could manipulate application behavior to exfiltrate data, add or delete records, or escalate privileges within the application environment. Such actions could severely impact operational integrity and lead to significant data breaches. The exploitation by malicious entities could also lead to a loss of trust from users and customers or result in legal and regulatory repercussions for failing to adequately secure data.

REFERENCES

Solution Advice
  • Upgrade Django to versions 6.0.2, 5.2.11, 4.2.28, or later to alleviate the risk of SQL Injection.
  • Implement further input validation and sanitization, especially in user-controlled inputs, to prevent unsanitized input from reaching the database.
  • Regularly review and test application code for other potential injection vulnerabilities.
  • Consider using ORM methods rather than crafting raw SQL queries directly when interacting with the database.
  • Employ security tools to regularly scan and detect SQL Injection vulnerabilities as part of your security maintenance routines.

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