Simple, Faster, & Efficient, Subdomain Discovery Scanner
Project description
discosub 0.2.0
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 https://github.com/4383/discosub
$ cd discosub
$ python setup.py install
Usages from a local installation (from pypi or from sources)
discosub run google.com
Usages inside a docker container
docker run -e "TARGET=google.com" 4383/discosub:latest
Usages as an anonymous scanner from docker container (using tor inside docker)
docker run -e "TARGET=google.com" 4383/discosub:tor
Prerequistes
python >= 2.6 (but prefer python3.x)
Features
Analyze a root domain and discover its subdomains
Analyze domain over tor via specific docker container (anonymous scanning)
Advertissments
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)
Guidelines
Perform whois request on discovered subdomains
License
Free software: GNU General Public License v3
Credits
Author: 4383 (Hervé Beraud)
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.1.0 (2016-08-29)
First release on Github.
0.1.6 (2016-08-31)
First release on Pypi.
Using click instead of argparse
0.1.10 (2016-08-31)
Dockerize app
Stable pypi deployment via travis-ci
0.1.11 (2016-08-31)
Fix somes documentation mistakes and syntax error
0.1.12 (2016-08-31)
Fix somes documentation mistakes and syntax error
Update pypi project classifiers
0.1.13 (2016-09-01)
Link official webpage with repo (pypi, github, docker)
0.1.14 (2016-09-01)
Fixing bad packaging. Error when loading dictionaries files.
0.1.15 (2016-09-01)
Fixing mistake on Dockerfile (docker run command)
0.1.16 (2016-09-02)
Apply Alpha development status for pypi classifiers
Adding badges on README
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.
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