Introduction

ASprofiler fetches the most recent available datasets to profile with an easy and fast way the selected ASes (Autonomous Systems) in terms of their:

• Providers (IPv4/IPv6)
• Customers (IPv4/IPv6)
• Peers (IPv4/IPv6)
• Customer Cone (direct/indirect customers)
• IXPs in which they have presence
• Facilities in which they have presence
• Geographic information (city/country level) based on their exchanged traffic in IXPs & Colos

It utilizes control (BGP) plane, data (traceroutes) plane and self-reported datasets from publicly available databases

Here is the database list from which the tool retrieves all the appropriate data:

1. AS Relationships
2. AS to Organization Mappings
3. AS Customer Cone
4. Facility Information
5. Internet eXchange Points (IXPs) information

Why ASprofiler is important?

The output data might be used to:

• Increase the granularity of the information of the existing AS portfolio
• Evaluate the networking expansion of the customer base
• Geolocate ASes based on where they exchange Internet traffic

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How it works

• Collects all the necessary datasets from the publicly available databases
• Arranges downloaded datasets for easy access
• Processes the requested ASes and export their profiles

How to run

$ python3 asprofiler.py -if test.csv -of export.json

test.csv: contains all the candidate ASes to build their profile (with format 1,2,3)

export.json: contains all the exported information

Requirements

• Python 3.5 or greater
• UltraJSON
• requests
• wget
• beautifulsoup4

License

This repository is licensed under the GNU AGPLv3. All code in this repository belongs to Georgios Nomikos.