DarkGPT: Ai OSINT Tool To Detect Leaked Databases

DarkGPT is an innovative Open Source Intelligence (OSINT) tool that leverages the power of AI to assist in various information gathering tasks. This cutting-edge tool, powered by GPT (Generative Pre-trained Transformer) technology, has shown promising results in enhancing the efficiency and accuracy of OSINT activities.

DarkGPT is an artificial intelligence assistant based on GPT-4–200K designed to perform queries on leaked databases. This guide will help you set up and run the project on your local environment. AI (Artificial Intelligence) systems can analyze enormous volumes of data and identify threats that humans may ignore.

The result is a speedy response since AI can monitor network traffic, user activity, and system records to detect unusual behaviour, intrusions, and cyberattacks. Many cybersecurity jobs can be automated. Not only that, but also increases efficiency, which reduces the chance of human errors.

A Spanish pentester named “luijait” has released an AI OSINT tool known as “DarkGPT” on Github. This program detects leaking databases and may be integrated into OSINT procedures. DarkGPT builds on ChatGPT’s current tools like OSINVGPT, PentestGPT, WormGPT, BurpGPT, and HackerGPT, giving an effective tool for the cyber security community.

Installation Guide for DarkGPT

Before starting, make sure you have Python installed on your system. This project has been tested with Python 3.8 and higher versions.

Environment Setup

1. Clone the RepositoryFirst, you need to clone the GitHub repository to your local machine. You can do this by executing the following command in your terminal:

git clone https://github.com/luijait/DarkGPT.git

cd DarkGPT

1. Configure Environment VariablesYou will need to set up some environment variables for the script to work correctly. Copy the .example.env file to a new file named .env:

DEHASHED_API_KEY="your_dehashed_api_key_here"
DEHASHED_USERNAME="your_dehashed_username"
OPENAI_API_KEY="API_KEY from openai.com"

1. Install DependenciesThis project requires certain Python packages to run. Install them by running the following command:

pip install -r requirements.txt

1. Then Run the project:

python3 main.py

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