Skip to main content
SQL Injection (SQLi) is one of the most critical security vulnerabilities for any application that interacts with a relational database. In this guide, we dive into what SQL Injection is, how attackers exploit it, and the best practices to defend against it—particularly in a cloud environment using Azure SQL Database.

​
Scenario: The Wish List Feature

Imagine an e-commerce platform where your product manager, Alex, wants users to build custom wish lists by submitting their own SQL queries. While this feature sounds innovative, allowing end users to run arbitrary database queries can open the door to SQL Injection.
Never trust user input for query construction. Even developers can introduce vulnerabilities if input isn’t handled correctly.

​
Threat Landscape Overview

In a typical cloud-native setup:
  • Users browse and submit requests via the application front end.
  • The application connects to an Azure SQL Database.
  • Developers may also have administrative access for troubleshooting.
  • Azure’s built-in features like Auditing and Advanced Data Security provide monitoring and alerts.
The image illustrates a cloud-based system involving an app user, apps, a developer, and an Azure SQL Database, related to understanding SQL injection attacks.
Although Azure can detect suspicious activities, the primary defense against SQLi must be built into your application code.

​
Key Elements at a Glance

ElementDescription
Underlying RiskHow unvalidated input allows malicious SQL to slip through.
Attack AnatomyStep-by-step flow of a typical SQLi exploit.
Proactive DefensesCoding and configuration practices to block SQLi.

​
1. Underlying Risk

When you concatenate user input directly into SQL statements, you risk letting malicious actors inject additional SQL commands. Our “custom wish list” scenario is a prime example—every new feature that executes raw queries increases your attack surface.
The image illustrates SQL injection attacks, showing an attacker interacting with an Azure SQL Database to insert malicious queries, highlighting the underlying risk.
If inputs aren’t validated or sanitized, an attacker could:
  • Retrieve sensitive data (e.g., user credentials).
  • Modify or delete records.
  • Escalate privileges for full database control.

​
2. Anatomy of a SQL Injection Attack

Let’s walk through a typical SQLi exploit:
  1. Identify a Vulnerable Input
    The attacker locates a form field or URL parameter that reflects input directly into a query.
  2. Craft Malicious Payload
    They append SQL syntax—e.g., '; DROP TABLE Orders; --—to the input.
  3. Execute via the Application
    The back-end builds a query string by concatenation and sends it to the database.
  4. Database Runs the Injected SQL
    The server interprets the injected commands as part of the original query.
The image illustrates the anatomy of an SQL injection attack, showing how an attacker manipulates a standard SQL query to access an Azure SQL Database, potentially leading to data theft, corruption, or disclosure of sensitive information.
Impact: Data theft, corruption, or even full admin takeover of the database—resulting in regulatory fines, reputational damage, and financial loss.

​
3. Proactive Defenses

A multi-layered approach is essential. The following strategies are proven to reduce SQLi risk:
The image illustrates proactive defenses against SQL injection attacks, highlighting the importance of protecting platforms through rigorous input validation to prevent data theft, corruption, or disclosure of sensitive information.
Defense StrategyDescription
Input Validation & SanitizationEnforce strict patterns and reject unexpected characters on both client and server sides.
Parameterized Queries / Prepared StatementsUse bind variables so data never merges with SQL commands.
Stored ProceduresEncapsulate SQL logic in DB-residents procedures with controlled interfaces.
Principle of Least PrivilegeAssign each application account the minimum permissions needed.
Security Audits & TestingEmploy automated scanners, manual code reviews, and penetration tests regularly.
Skipping proper testing can leave hidden SQLi vectors. Integrate security checks into your CI/CD pipeline.
By embedding these practices into your development lifecycle, you ensure robust protection against SQL Injection—and safeguard your data, your customers, and your organization.

​
References

Watch Video