SQL Injection - Blind Boolean Scanner
Identifies blind SQL injection using boolean-based techniques to infer database information.
What is SQL Injection - Blind Boolean?
Blind boolean-based SQL injection occurs when an application is vulnerable to SQL injection but doesn't display database errors or query results directly. Attackers extract data by asking the database true/false questions and observing differences in the application's response (such as different page content, response size, or behavior).
Why is This Important?
This attack is dangerous because it works even when applications properly hide error messages. Attackers can still extract entire databases character by character by observing subtle response differences. Automated tools make this process fast, extracting sensitive data within minutes to hours.
How It Works
1. Web Crawling
Intelligent crawling discovers all endpoints, forms, parameters, and dynamic content across your web application.
2. Payload Injection
AI-powered payloads test each input vector for web vulnerabilities with context-aware attack patterns.
3. Response Analysis
Advanced analysis detects vulnerability signatures in responses, confirming exploitability with proof-of-concept.
Key Capabilities
Industry-leading web security testing powered by AI, trusted by security teams worldwide for accurate vulnerability detection.
- Deep web crawling with JavaScript rendering support
- Context-aware payload generation for each parameter
- False positive elimination through response analysis
- OWASP Top 10 and CWE compliance mapping
- Seamless CI/CD and DevSecOps integration
Frequently Asked Questions
How long does blind SQL injection take to exploit?
Automated tools can extract data at rates of 10-100 characters per second. A typical password hash might take 30 seconds to a few minutes to extract completely.
What response differences do attackers look for?
Attackers look for any observable difference: page content changes, HTTP status codes, response time variations, or even subtle HTML differences that indicate true vs false conditions.
Is blind SQL injection harder to detect?
Yes, because there are no visible errors. Detection requires monitoring for unusual query patterns, response time anomalies, or using specialized security scanning tools.
Can prepared statements prevent this?
Yes, parameterized queries/prepared statements prevent all types of SQL injection including blind boolean-based attacks by separating SQL code from data.
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