🔥 Run HACKING LLM / AIs locally – RIGHT NOW! 🚀

Introduction

In this tutorial, we will guide you through the process of setting up a local AI-powered hacking assistant using a Large Language Model (LLM) with Ollama. This hands-on guide is designed for those interested in ethical hacking and cybersecurity, providing you with the skills to enhance your penetration testing capabilities.

Step 1: Install Ollama

To begin, you need to install Ollama, which allows you to run LLMs locally. Follow these steps:

1. Visit the Ollama Website:

   • Go to the official Ollama website to download the latest version.

2. Download and Install:

   • Follow the installation instructions specific to your operating system (Windows, macOS, or Linux).
   • Ensure that you have the necessary permissions to install software on your machine.

3. Verify Installation:

   • Open your terminal or command prompt.
   • Run the command:

     ollama --version
     

   • This should display the version number of Ollama, confirming a successful installation.

Step 2: Set Up the LLM

With Ollama installed, it's time to set up the LLM.

1. Pull the LLM Model:

   • In your terminal, use the following command to pull the desired LLM:

     ollama pull <model-name>
     

   • Replace <model-name> with the specific model you wish to use (e.g., "gpt-3").

2. Run the LLM:

   • Start the model with:

     ollama run <model-name>
     

   • This command will initiate the LLM, making it ready for interaction.

Step 3: Install Open Web UI

To provide a user-friendly interface for your AI assistant, you'll need to set up Open Web UI.

1. Clone the Repository:

   • Use Git to clone the Open Web UI repository:

     git clone <repository-url>
     

   • Replace <repository-url> with the actual URL of the Open Web UI.

2. Navigate to the Directory:

   • Change to the directory where you cloned the repository:

     cd open-web-ui
     

3. Install Dependencies:

   • Run the following command to install the required dependencies:

     npm install
     

   • Ensure you have Node.js and npm installed on your machine.

4. Launch the Interface:

   • Start the Open Web UI with:

     npm start
     

   • Open your web browser and navigate to http://localhost:3000 to access the interface.

Step 4: Enhance Penetration Testing

Now that your AI assistant is ready, you can use it to improve your penetration testing processes.

1. AI-Assisted Reconnaissance:

   • Use your LLM to gather information about the target. Ask it to identify potential vulnerabilities or public data available.

2. Exploit Discovery:

   • Inquire about common exploits related to the technologies used by the target. The AI can provide insights and strategies to test for these vulnerabilities.

3. Automation:

   • Leverage the AI to automate repetitive tasks, such as scanning and reporting. This will free up your time for more complex analysis.

Conclusion

By following the steps outlined in this tutorial, you've successfully set up a local AI-powered hacking assistant. You now have the tools to enhance your penetration testing efforts ethically and effectively. Remember to always operate within legal boundaries and use your skills responsibly. As a next step, consider exploring advanced AI capabilities or integrating additional tools to further refine your hacking toolkit.