pdlist. A passive subdomain finder
Copyright: © 2019, gnc.
pdlist is a passive subdomain finder written in python. This tool can be used
effectively to collect information about a domain without ever sending a
single packet to any of its hosts.
Given a domain like "example.com" it will find all the hosts which
have a hostname
<something>.example.com or URLs strictly related to example.com.
In order to collect informations about subdomains the software queries different publicly available websites, which at the moment are:
pdlist is very user-friendly and lightweight since the only dependencies are the following python modules:
We can install pdlist simply by doing:
git clone https://github.com/gnebbia/pdlist cd pdlist pip install -r requirements.txt python setup.py install
To have a list of subdomains passively of for example example.com we can do:
we can also specify multiple domains, e.g.,;
pdlist example1.com example2.com
We can save the output in a text file by doing:
pdlist example.com -o example-list.txt
Notice that by default pdlist will also output hostnames which may not really be proper subdomains of the specified domains, and this happens because those subdomains are still related to the specified domains.
If we want to only output proper subdomains we can enable the strict mode by doing:
pdlist example.com --strict
This is a minimalist passive domain finder, the aim of this project is to have few dependencies, small code footprint and easily extensible.
If you want to extend the code it is enough to add a module in the
package with a
def parse(domains) method.
- Add more passive recon sources
- Modify the code to work in asynchrounous mode
- Generate fancy html reports
Copyright © 2019, gnc. All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this list of conditions, and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions, and the following disclaimer in the documentation and/or other materials provided with the distribution.
Neither the name of the author of this software nor the names of contributors to this software may be used to endorse or promote products derived from this software without specific prior written consent.
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