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Hunter Wizard SQL Injection Tool

Security · 2022

Hunter Wizard SQL Injection Tool

Developed the Hunter Wizard SQL Injection tool, designed to identify and exploit SQL injection vulnerabilities in web applications. The tool is coded in both Python 2 and Python 3, utilizing binary search and recursion techniques to exploit inferential SQL injection vulnerabiliti

Python

Developed the Hunter Wizard SQL Injection tool, designed to identify and exploit SQL injection vulnerabilities in web applications. The tool is coded in both Python 2 and Python 3, utilizing binary search and recursion techniques to exploit inferential SQL injection vulnerabilities, specifically targeting login forms and GET/POST methods. It extracts information from the database schema using a blind SQL injection method.

What I delivered:

  • SQL Injection Tool:
  • Inferential SQL Injection:
  • Database Schema Extraction:
  • Python 2 & 3: Developed the tool to be compatible with both Python versions.
  • Requests Library: Used for sending HTTP requests to test and exploit vulnerabilities.

Result: The Hunter Wizard SQL Injection tool effectively identifies and exploits SQL injection vulnerabilities, demonstrating your expertise in security testing and vulnerability exploitation. The dual-version support and advanced techniques highlight your proficiency in developing and applying security tools.


Overview
Developed the Hunter Wizard SQL Injection tool, designed to identify and exploit SQL injection vulnerabilities in web applications. The tool is coded in both Python 2 and Python 3, utilizing binary search and recursion techniques to exploit inferential SQL injection vulnerabilities, specifically targeting login forms and GET/POST methods. It extracts information from the database schema using a blind SQL injection method.

Key Features & Responsibilities:

  • SQL Injection Tool:
    • Created in Python 2 and 3: Developed the tool to be compatible with both versions of Python, ensuring versatility and broad applicability.
    • Uses Binary Search and Recursion: Implemented advanced techniques like binary search for efficient data extraction and recursion to handle complex query scenarios.
  • Inferential SQL Injection:
    • Exploits Inferential Vulnerabilities: Targets web applications where the presence of SQL injection vulnerabilities is inferred from application behavior rather than direct output.
    • Blind SQL Injection Method: Utilizes blind SQL injection to extract data, where responses to queries are analyzed indirectly (e.g., through application behavior).
  • Targeted Forms:
    • Login Forms with POST Method: Specially designed to work with login forms that use POST requests, identifying vulnerabilities in authentication mechanisms.
    • Forms with GET Method: Capable of exploiting forms that use GET requests to retrieve data from the server.
  • Database Schema Extraction:
    • Information Extraction: Efficiently extracts information from the database schema, including table names, column names, and other schema details.
    • Blind Method: Uses blind SQL injection techniques to infer database structure without direct visibility into query results.

Technologies & Tools:

  • Python 2 & 3: Developed the tool to be compatible with both Python versions.
  • Requests Library: Used for sending HTTP requests to test and exploit vulnerabilities.
  • Binary Search Algorithm: Implemented for efficient data extraction.

Skills Applied:

  • SQL Injection: Expertise in exploiting SQL injection vulnerabilities.
  • Python Programming: Proficient coding in both Python 2 and Python 3.
  • Security Testing: Conducted thorough testing to ensure the tool’s reliability and effectiveness.

Outcome
The Hunter Wizard SQL Injection tool effectively identifies and exploits SQL injection vulnerabilities, demonstrating your expertise in security testing and vulnerability exploitation. The dual-version support and advanced techniques highlight your proficiency in developing and applying security tools.

Deep explanation:

SQL Injection Custom Tool.pptx.pdf