CVE-2026-1207 Scanner
CVE-2026-1207 Scanner - SQL Injection vulnerability in Django
Short Info
Level
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
8 days 7 hours
Scan only one
URL
Toolbox
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.
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