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sqli-detect

Detect SQL injection vulnerabilities by analyzing input parameters and response behaviors.

Updated May 16, 2026
Search Tags:#sql injection#penetration testing#vulnerability detection#security assessment#database enumeration
One-click install
npx skills add https://github.com/Chid0k/claude-marketplace --skill sqli-detect
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sqli-detect
Source: https://github.com/Chid0k/claude-marketplace/tree/main/plugins/vuln-detect-plugin/skills/sqli-detect
Command: npx skills add https://github.com/Chid0k/claude-marketplace --skill sqli-detect

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, beautifulsoup4, pandas, sqlparse, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the detection of SQL injection vulnerabilities in web applications, significantly reducing the time and effort required for penetration testing.

Core Features & Use Cases

  • SQL Injection Detection: Identifies potential SQL injection vulnerabilities in web applications by analyzing input parameters and response behaviors.
  • Database Enumeration: Enumerates database tables, columns, and user credentials.
  • Use Case: Imagine you need to test a web application for SQL injection vulnerabilities. Use this Skill to automate the detection process, saving valuable time and resources.

Quick Start

Use the sqli-detect skill to scan the web application at 'https://example.com' for SQL injection vulnerabilities.

Frequently Asked Questions about sqli-detect

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate SQL injection detection in web applications?▼

You can automate SQL injection detection by analyzing application behavior, input parameters, and response data. This skill supports error-based, union-based, inferential, and time-based techniques to identify vulnerabilities in target URLs.

What techniques are used for SQL injection vulnerability detection?▼

SQL injection vulnerability detection uses error-based, union-based, inferential, and time-based techniques. These methods analyze network responses and application behaviors to pinpoint potential database exploitation entry points.

Can I enumerate database tables and columns after finding a vulnerability?▼

Yes, database enumeration is supported. After detecting an SQL injection vulnerability, you can enumerate database tables, columns, and user credentials to assess the full extent of the exposure.

Do I need specific Python libraries for penetration testing web applications?▼

Yes, this penetration testing process requires the requests, beautifulsoup4, pandas, and sqlparse libraries. These dependencies handle network requests, data analysis, and payload generation for security assessments.

What is the best way to test for time-based SQL injection?▼

Testing for time-based SQL injection involves analyzing server response delays. This skill automates payload generation and inferential response analysis to detect vulnerabilities when the application does not return visible database errors.

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