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PyMISP Telecom

The goal of this repository is to document how to use the PyMISP lib with simple examples to interact with Telecom Data / Objects via PyMISP.

Getting Started

To get a local copy up and running follow these simple steps.

Prerequisites

  • Install PyMISP:
pip3 install pymisp

For any issue on installation please refer to the PyMISP readme for lib install tutorial.

  • Fill up the file keys.py with your the MISP url and your own MISP API Key

Usage example

Flubot Data Extract

To extract all domains from Flubot data, you can use the following command line:

python3 extract_flubot_domains.py

As an output, a new file will be generated with the following format:

YearMonthDay-HourMinute-flubot-domains.txt

Flubot Data Import

To extract all domains from Flubot data, you can use the following command line:

python3 publish_fluBot_event.py urls-22062021.csv

urls-22062021.csv being a CSV formated file which contains information as such:

url,domain
http://mail.cngtermconsult.ga/click/,mail.cngtermconsult.ga
http://tochkacompany.ru/path/,tochkacompany.ru
http://ca1.ir/url/,ca1.ir
http://entreprisesmgm.com/click/,entreprisesmgm.com
....

As an output, a new event with a url object will be created on your MISP platform: image

Repository content listing

This repository contains:

  • extract_flubot_domains.py : Extract all the FLubot domains from URLs and exports them into a txt file
  • extract_SS7_GT.py : Extract all the offensive GTs from SS7 objects published, write the result into a CSV file
  • publish_fluBot_event.py : Publish a Flubot event importing a list of domains from a CSV file
  • publish_SS7_event.py : Publish a SS7 event with an SS7-attack object
  • publish_iot_event.py : Publish a IoT Malware event with simple attributes
  • extract_call_spam.py : Extract fraudulent numbers reported into MISP

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

Or contact us via an issue or the T-ISAC initiative.

Acknowledgements

  • MISP Community - This project uses PyMISP and MISP.
  • GSMA T-ISAC community - These efforts are made to support the GSMA T-ISAC initiative GSMA T-ISAC Official Page
  • POST Luxembourg
  • CO Finance by EU - Part of the PISAX project

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Script examples to interact with Telecom Data / Objects via PyMISP

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