CVE-2022-34265 Scanner
CVE-2022-34265 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
11 days 14 hours
Scan only one
URL
Toolbox
Django is a popular high-level Python web framework that encourages rapid development and clean, pragmatic design. It is widely used for building web applications of various complexities, from simple websites to complex data-driven applications. Django is appreciated by developers for its "batteries-included" philosophy, providing ready-to-use components and a secure framework. It is maintained and used by a vibrant community including both independent developers and large organizations. Companies and individual developers leverage Django for its ease of use, scalability, and adherence to best security practices. Its usage spans across industries like e-commerce, finance, and education, catering to web services and applications around the globe.
SQL injection is a common yet critical vulnerability that can compromise the security of an application by allowing attackers to manipulate database queries. It occurs when user-controlled inputs are improperly sanitized before being concatenated into a SQL query. The discovered vulnerability in Django versions 3.2 and 4.0, specifically in the Trunc() and Extract() functions, poses a severe threat by exposing applications to SQL injection if untrusted data is processed in these functions. Exploiting this vulnerability could allow attackers to execute arbitrary SQL code, leading to data theft, data corruption, or unauthorized access to database contents. This specific vulnerability emphasizes the need for developers to validate and sanitize inputs rigorously.
The vulnerability details reveal that improper handling of input within Django's Trunc() and Extract() functions facilitates SQL injection. Attackers can manipulate the kind/lookup_name value, especially if it contains untrusted data, bypassing application security controls. Applications that strictly control and sanitize these inputs, or use parameterized queries, often remain unaffected. The vulnerable endpoint involves any database query incorporating the aforementioned functions with unsanitized inputs. Identifying this vulnerability typically requires testing query parameters for injectable points, where improper input handling results in syntax errors or unexpected database responses.
If exploited, this SQL injection vulnerability in Django could have significant negative impacts on affected applications. Malicious actors could potentially execute arbitrary SQL commands, compromising the integrity, confidentiality, and availability of the database. This might lead to unauthorized data access, data corruption, theft of sensitive information, or even database deletion, impacting both business operations and user trust. Furthermore, successful exploitation could allow attackers to pivot to other parts of the network, using the database as a launchpad for further attacks.
REFERENCES