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Odinova is an Open Source Intelligence (OSINT) tool equipped with a user-friendly graphical interface, designed for efficient information gathering about a target. With features like web and user searches, Serpapi integration, system information retrieval, forum detection, and social profile recognition, Scavenger excels in digital reconnaissance

License: MIT License

Python 94.42% Shell 5.58%
forensics gui-application information-gathering infosec linux macos maigret osint osint-python osint-tool osint-tools python-gui python-hacking-tools python-script python3 reconnaissance serpapi username-search windows

scavenger's Introduction

{ Odinova©️ πŸ•΅οΈβ€β™‚οΈ }

This tool is expected to receive changes in the future. πŸ’ͺ

About Odinova

Odinova is a powerful and user-friendly Open Source Intelligence (OSINT) tool designed to enhance digital reconnaissance capabilities. With its intuitive graphical user interface, Scavenger provides a unified solution for various OSINT tasks, allowing users to efficiently gather information about a target. This tool is developed with the goal of empowering individuals and security professionals to conduct responsible and effective information gathering.

Odinova is a robust and feature-rich tool for Open Source Intelligence (OSINT). Its impressive set of capabilities, including advanced search options, system information gathering, and social profile recognition, make it a valuable asset for various purposes such as security audits, digital investigations, and threat intelligence. The user-friendly graphical interface and emphasis on delivering targeted and actionable results contribute to its appeal. However, the true measure of its impressiveness depends on the specific needs and preferences of users within the OSINT community.

Odinova GUI Project - screenshot

Table of Contents

Important:

  • Use this tool responsibly and in accordance with applicable laws and regulations.
  • Authors are not responsible for any misuse or damage caused.

Key Features πŸš€

  • Web Search: Conduct Google searches and retrieve detailed results.
  • User Search: Search for a target user across specified URLs.
  • Serpapi Search: Utilize the Serpapi API for advanced search capabilities.
  • Info Gathering: Collect system information using Python and PyQt5.
  • Forum Detection: Identify potential forums based on URL patterns.
  • Social Profile Recognition: Detect and display social media profiles.

Dependencies πŸ› οΈ

  • Python 3.x
  • PyQt5
  • httpx
  • beautifulsoup4
  • fake_useragent
  • serpapi
  • requests
  • colorama

Installation πŸ“¦

  1. Clone the repository: git clone https://github.com/AnonCatalyst/Odinova
  2. Install dependencies: python3 install.py

Usage 🚨

  1. Launch the application: python odinova.py
  2. Choose a search category from the side menu.
  3. Enter the required information.
  4. Click the search button to initiate the search.

Watch the video

Information Obtained:

  • Discover online mentions of a query or username.
  • Identify potential social profiles and forums.

Digital Reconnaissance

  • Robust solution for digital reconnaissance.
  • Gathers and analyzes publicly available information from online sources.

Targeted and Actionable Results

  • Delivers results that are targeted and actionable.
  • Emphasis on providing users with relevant information.

Potential Use Cases 🎯

  • Scavenger can be employed for various purposes, including:

    Security Audits: Enhance security audits by uncovering potential vulnerabilities and identifying digital footprints. Digital Investigations: Facilitate digital investigations by collecting and analyzing information related to specific targets. Online Reputation Management: Monitor and manage online presence by tracking mentions and social profiles. Threat Intelligence: Strengthen threat intelligence efforts by staying informed about potential threats and emerging trends.

Updates and Changelog

  • For a detailed list of changes, see the Changelog.

Security Considerations

License πŸ“„

  • This project is licensed under the MIT License - see the LICENSE file for details.

Author πŸ‘€

Contributing 🀝

Acknowledgments πŸ™

  • Mention any external libraries or tools used.
  • Inspiration, if any.

Disclaimer: Use this tool responsibly and in accordance with applicable laws and regulations. Authors are not responsible for any misuse or damage caused.


Images:

Screenshot #1 Screenshot #2
Screenshot #3 Screenshot #4

scavenger's People

Contributors

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