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Simple, Faster, & Efficient, Subdomain Discovery Scanner

Project description

discosub 0.3.0

Free and opensource subdomain scanner. Discosub is simple and faster subdomain discover.

Discosub test if a list of subdomains exist via fuzzing on root domain.

Discosub use dictionaries for perform an analyze (BruteForce).

You can use discosub directly from a python interpreter, or use it inside docker container.

You can perform an anonymous scanning directly by using a specific docker version (alias tor).

Different type of docker container are available: * simple docker container with discosub installed on * torified (tor) docker container with discosub installed on (all discosub scanning connections use tor network)

For more details visit the official webpage project.

Install from pypi

pip install -U discosub

Install as a docker container

docker pull 4383/discosub:latest

Install as an anonymous scanner (tor + docker)

docker pull 4383/discosub:tor

Install from sources

$ git clone
$ cd discosub
$ python install

Usages from a local installation (from pypi or from sources)

discosub run

Usages inside a docker container

docker run -e "" 4383/discosub:latest

Usages as an anonymous scanner from docker container (using tor inside docker)

docker run -e "" 4383/discosub:tor

Usages for an agressive scanning mode

discosub run -a


  • python >= 2.6 (but prefer python3.x)


  • Analyze a root domain and discover its subdomains
  • Analyze domain over tor via specific docker container (anonymous scanning)


  • scan over docker container are more slowly than direct usage from python interpreter
  • scan over torified docker container are more slowly than direct usage from python interpreter and classical discosub docker container
  • scan over torified docker container are more verbose than an classical scanning (identifiable IP)

Upcoming features

  • Perform whois request on discovered subdomains
  • Pass discosub options to docker container on run
  • Perform scanning from user keywords file
  • Save output into a file


  • Free software: GNU General Public License v3


Author: 4383 (Hervé Beraud)

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.


0.3.0 (2016-09-03)

  • Optimize scanning by using a new tiny list of frequently used subdomains
  • Introduce more efficient and faster default scanning mode, agressive scanning mode, and user keywords list based on scanning mode

0.2.0 (2016-09-03)

  • New docker tag for allow anonymous scanning. Integrate a second dockerfile for build a container where network connections are relayed per a tor client embdded inside this container.

0.1.16 (2016-09-02)

  • Apply Alpha development status for pypi classifiers
  • Adding badges on README

0.1.15 (2016-09-01)

  • Fixing mistake on Dockerfile (docker run command)

0.1.14 (2016-09-01)

  • Fixing bad packaging. Error when loading dictionaries files.

0.1.13 (2016-09-01)

  • Link official webpage with repo (pypi, github, docker)

0.1.12 (2016-08-31)

  • Fix somes documentation mistakes and syntax error
  • Update pypi project classifiers

0.1.11 (2016-08-31)

  • Fix somes documentation mistakes and syntax error

0.1.10 (2016-08-31)

  • Dockerize app
  • Stable pypi deployment via travis-ci

0.1.6 (2016-08-31)

  • First release on Pypi.
  • Using click instead of argparse

0.1.0 (2016-08-29)

  • First release on Github.

Project details

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Files for discosub, version 0.3.0
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Filename, size discosub-0.3.0-py2.py3-none-any.whl (399.5 kB) File type Wheel Python version py2.py3 Upload date Hashes View
Filename, size discosub-0.3.0.tar.gz (796.8 kB) File type Source Python version None Upload date Hashes View

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