Important!

The author is not responsible for the use of this application. This application is the open source version with GNU license. However, the paid version gets better results through algorithms and data cross-referencing that this version does not perform.

For the application to work correctly, it is necessary to do a Big Data with the bots I have left you. Don't know how? Do you need it for your company? Contact me and I'll teach you how. My contact details are below.

Project from the depths of Triana created by Jorge Coronado (@jorgewebsec) to do OSINT and SOCMINT. Project with the goal of creating an "All in one OSINT" that allows researchers to find the information they need.

INVESTIGATE WITH ME FROM THE SOUTH

• https://www.youtube.com/watch?v=zI11NiQcx
• https://www.youtube.com/watch?v=ra-YC6MwG3k

Search Engines

• BuscadorPersonas.py:

  • Search in the BOE
  • Search for positions in companies in the BORME
  • Search for possible positions in family members' companies
  • Search for company awards
  • Clustering of links in social media, press, and others
  • Search on Youtube
  • Search on Wikipedia
  • Search on Pastebin
  • Dorks on Google
  • Search on DuckDuckGo to obtain social media and links
  • Search on Páginas Amarillas to obtain phone, address, and email
  • Connection with Dante's Gates REST API

• BuscadorNoticiasFalsas.py:

  • Footprinting of the news
  • Automatic search on Google and DuckDuckGo
  • Text comparison and extraction of plagiarism ratio
  • Search with DDG on Fact-checking platforms
  • Identification of key words in the text (e.g., "report", "study", etc.)

• BuscadorNick.py:

  • Search on more than 90 platforms
  • Search on Google and group results by social networks, press, and others
  • Search with DuckDuckGo
  • Connection with Dante's Gates RED API

• BuscadorTelefono.py

  • Tweets
  • Check Facebook account
  • Dorks on Google
  • Company identification
  • Location
  • Dogpile search

• BuscadorEmails (Email OSINT ripper): link ( https://github.com/Quantika14/email-osint-ripper )

  • Check accounts on Netflix, LinkedIn, WordPress, Tumblr, Instagram, Spotify, Vimeo, Pinterest, Twitter, Flickr, Myspace, Facebook, etc.
  • Reputation analysis
  • Identification of other emails with the same alias
  • Domain analysis and security measures
  • Search on the Deepweb and Darknet

How does it work?

1. For 100% functionality, use Linux or Mac systems
2. Have Python 3 installed
3. Install MongoDB sudo apt-get install mongodb
4. Install PDFGREP sudo apt-get install pdfgrep
5. Install dependencies pip3 install -r requiriments.txt
6. To run any search engine, we just have to do e.g.: python3 BuscadorPersonas.py
7. Select the different configurations and enter the data requested
8. Enjoy!

Requirements

1. Have Python 3 installed
2. Have MongoDB installed
3. Have PDFGREP installed
4. Have the libraries described in requiriments.txt installed

Author

• Jorge Coronado a.k.a Jorge Websec
• MyPublicInBox: https://mypublicinbox.com/jorgewebsec
• Twitter: @JorgeWebsec
• Web: www.quantika14.com