SQL Injection: Non-Constant SQL Statement in ApplyCouponView.post

[deepharness]

Harness Pipeline

Vulnerability Description

CWE-89 describes a SQL injection vulnerability where an application constructs SQL commands using untrusted input without proper sanitization. This allows attackers to manipulate the SQL query, potentially leading to unauthorized access to or manipulation of the database.

Remediation Concepts

To remediate SQL injection vulnerabilities, it is essential to use parameterized statements or prepared statements. These techniques ensure that user inputs are treated as data rather than executable SQL code, effectively neutralizing any malicious input. Additionally, employing an Object-Relational Mapping (ORM) library can help abstract SQL queries and enforce best practices.

Steps to Remediate the Vulnerability

1. Identify SQL Queries: Locate all instances in the code where SQL queries are constructed using user inputs.

2. Use Parameterized Statements: Replace direct string concatenation in SQL queries with parameterized queries. For example, instead of:

   cursor.execute("SELECT * FROM coupons WHERE code = '" + user_input + "'")

   Use:

   cursor.execute("SELECT * FROM coupons WHERE code = ?", (user_input,))

3. Implement ORM: If not already in use, consider integrating an ORM library (e.g., SQLAlchemy, Django ORM) to handle database interactions, which inherently uses parameterization.

4. Limit Database Permissions: Ensure the database user account used by the application has limited permissions, following the principle of least privilege.

5. Test for Vulnerabilities: After implementing changes, conduct thorough testing, including penetration testing, to ensure that the SQL injection vulnerability has been effectively mitigated.

6. Regularly Update and Review Code: Continuously review and update the codebase to adhere to security best practices and address any new vulnerabilities that may arise.

Code suggestions may produce inaccurate results or introduce new vulnerabilities. Review the output carefully before use.