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SQL Injection Simulator - Online Educational Sandbox

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SQL Injection Simulator

Educational Sandbox — Understand SQLi attacks & defenses in a safe environment

Mock Database — app_db Simulated Data
users
idusernamepasswordemailrole
1adminadmin123!admin@app.comadmin
2john_devj0hnP@ssjohn@app.comuser
3alice_walice2024alice@app.comuser
4guestguestguest@app.comguest

Click blurred passwords to reveal them

products
idnamepricecategorystock
1MacBook Pro$1999Laptops45
2iPhone 15$999Phones120
3AirPods Pro$249Audio200
4iPad Air$599Tablets78
5Magic Keyboard$349Accessories60
secrets
idkey_namesecret_value
1api_keysk-4f8a2c9e1b...
2flagFLAG{sqli_master_2024}
Login Form

Vulnerable query: SELECT * FROM users WHERE username='$input' AND password='$input'

Try these payloads:

Executed SQL Query SAFE
-- Type a payload and click Execute to see the SQL query
Defense Best Practices
Parameterized Queries

Use prepared statements with bound parameters. Never concatenate user input into SQL strings.

$stmt = $pdo->prepare("SELECT * FROM users WHERE username = ?");
Input Validation

Whitelist allowed characters. Validate input type, length, and format before processing.

if (!preg_match('/^[a-zA-Z0-9]+$/', $input)) { reject(); }
Least Privilege

Run database queries with minimal required privileges. Avoid using admin/root accounts in applications.

WAF & Monitoring

Deploy a Web Application Firewall and monitor query logs for suspicious injection patterns.

Frequently Asked Questions

SQL Injection is a code injection technique that exploits vulnerabilities in an application's database layer. Attackers insert malicious SQL statements into input fields, tricking the application into executing unintended database commands. This can lead to unauthorized data access, data modification, authentication bypass, and in severe cases, complete database compromise. It consistently ranks as one of the OWASP Top 10 web application security risks.

In-band SQLi: Results are returned directly (UNION-based, error-based).
Blind SQLi: No direct output; infer data from response behavior (boolean-based, time-based).
Out-of-band SQLi: Uses alternative channels like DNS or HTTP requests to exfiltrate data.
Second-order SQLi: Malicious input is stored and executed later in a different context.

1. Parameterized Queries (Prepared Statements): The gold standard. Separate SQL logic from data.
2. Stored Procedures: Encapsulate SQL logic with proper parameter binding.
3. Input Validation: Whitelist approach — only allow expected characters and formats.
4. Escape Special Characters: Use database-specific escaping functions as a secondary defense.
5. Principle of Least Privilege: Limit database user permissions.
6. WAF: Deploy a Web Application Firewall to filter malicious requests.

Absolutely! This is a fully client-side educational sandbox. All "database" data is simulated in JavaScript — no real database is connected, no queries are actually executed, and no data is sent anywhere. Your inputs never leave your browser. This tool is designed purely for learning about SQL injection in a safe, controlled environment without any risk to real systems.

SQL Injection (SQLi) targets the database layer — attackers inject malicious SQL to manipulate database queries. It affects the backend.
Cross-Site Scripting (XSS) targets the presentation layer — attackers inject malicious scripts (usually JavaScript) that execute in victims' browsers. It affects frontend users.
Both are injection vulnerabilities but exploit different parts of the application stack and require different defense strategies.

In Blind SQL Injection, attackers can't see query results directly. Instead, they ask yes/no questions to the database and observe differences in the application's response (page content, HTTP status, response time). For example: AND SUBSTRING(password,1,1)='a' — if the page behaves normally, the first character of the password is 'a'. By repeating this process character by character, attackers can reconstruct entire database contents without ever seeing direct output.

Yes. While NoSQL databases don't use traditional SQL syntax, they can still be vulnerable to injection attacks. MongoDB, for example, can be exploited using JavaScript injection or special operators like $ne, $gt, or $where when user input is not properly sanitized. The principles of injection attacks apply across different query languages — always validate and sanitize user input regardless of the database technology.

The consequences can be severe: data breaches (exfiltration of sensitive user data, passwords, financial records), authentication bypass (gaining admin access), data manipulation (modifying or deleting database records), remote code execution (on some configurations via xp_cmdshell or similar), and complete system compromise. High-profile breaches like the 2012 Yahoo breach (450M+ accounts) involved SQL injection. The average cost of a data breach involving SQLi exceeds $4 million.
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