CuriousSquid

Compagnie-related OSINT engine

This framework is a work-in-progress, please contact me if you see anything to improve it.

Simultaneous filtering on French corporate networks : Fortune 500, Forbes, Offshore Leaks and more...

DEPENDENCIES

python librairies :

• os
• io
• csv
• json
• click
• pycurl
• random
• requests
• subprocess

FUNCTIONALITY

• StartingTentacle.py downloads the mapping data available for the given company on pappers.fr. It sorts the data and stores it in /Outputs/ in three files:

  • SOA_session.txt contains the entire dataset,
  • SOE_session.txt contains the list of related companies,
  • SOP_session.txt contains the list of related individuals.

• Several tools are then available:

  • View the raw data
  • Search for keywords in StartingTentacle dataset
  • Check if CuriousSquid finds any related individuals listed on the Forbes website
  • Check if CuriousSquid finds any related companies listed on the Fortune website
  • Search for data included in the BODACC database
  • Check if certain companies appear in offshore money-laundering company leaks

INITIALISATION

The algorithm for filtering and searching through the leaked offshore company files requires the ICIJ's public dataset. You can download them on the official website :

https://offshoreleaks.icij.org/pages/database

and then extract all in /Rscs/offshores

... or you can use this bash script to do it automaticly :

chmod +x init_data.sh
./init_data.sh

USAGE

Start the curious console with -s followed by the siren's compagny (9 digits strung together) :

python3 CuriousSquid.py -s <siren>

You can also execute StartingTentacle with options :

python3 StartingTentacle -s <siren> -o <output/file/for/companies.txt> -p <output/file/for/personalities.txt>

You can modify the way CuriousSquid use StartingTentacle options in its main function.