🧰 Pentesting Scripts Toolkit

Collection of practical scripts for pentesting, automation and security testing, designed for educational and research environments.

This repository acts as a modular toolkit to automate tasks, simulate scenarios and experiment with offensive security techniques.

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🏷️ Badges

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📑 Table of Contents

1. Project Description
2. Architecture
3. Execution Flow
4. Pipeline CI/CD
5. Onboarding
6. Usage
7. Scripts Overview
8. Scripts Guidelines
9. Checklist
10. Additional Documentation

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📘 Project Description

• Project type: Security / Automation Toolkit
• Languages: Bash, Python
• Objective: Automate pentesting tasks and create reusable tools
• Environment: Local (Linux-based systems)

💡 DevOps mindset: Scripts are designed to be modular, reusable and easy to integrate into automation workflows.

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🧱 Architecture

flowchart LR
    A[User] --> B[Script Execution]
    B --> C[Target System / Data]
    B --> D[Output / Results]

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📌 Description:

• The user executes scripts manually
• Scripts interact with systems, data or targets
• Results are generated as output

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🔄 Execution Flow

flowchart LR
    A[User] --> B[Run Script]
    B --> C[Process Data]
    C --> D[Generate Output]

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📌 Flow:

1. The user runs a script
2. The script processes input or interacts with a target
3. Output or results are generated

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🚧 Pipeline CI/CD

This project currently does not include a CI/CD pipeline.

Future improvements may include:

• Automated script testing
• Static code analysis
• Integration with CI pipelines

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🚀 Onboarding

git clone https://github.com/D4NYED/pentest-scripts.git
cd pentest-scripts

📌 Navigate to any script folder and follow its internal documentation.

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⚙️ Usage

General usage pattern:

cd <script-folder>
python script.py

or:

chmod +x script.sh
./script.sh

📌 Each script may have its own dependencies and usage instructions.

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🧪 Scripts Overview

This repository includes tools focused on:

• 🔍 Information gathering
• ⚙️ Task automation
• 🧠 Data processing
• 🧪 Security testing

🚧 The toolkit is continuously evolving.

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📏 Scripts Guidelines

When adding or modifying scripts:

• Keep code simple and readable
• Document usage clearly
• Specify dependencies
• Avoid hardcoded sensitive data

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✅ Checklist

• Scripts documented
• Dependencies specified
• Tested in lab environment
• Ethical use ensured

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📚 Additional Documentation

• docs/installation.md → setup instructions
• Internal README files inside each script folder

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⚠️ Ethical Disclaimer

These scripts are intended only for educational and testing purposes.

Unauthorized or malicious use may be illegal.

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👤 Author

D4NYED

• Linkedln: www.linkedin.com/in/d4nyed

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© 2026 D4NYED