IVRE
(Instrument de veille sur les réseaux extérieurs) or DRUNK (Dynamic
Recon of UNKnown networks) is a network recon framework, including
tools for passive recon (flow analytics relying on
Bro, Argus,
Nfdump, fingerprint analytics based
on Bro and p0f and active recon
(IVRE uses Nmap to run scans, can use
ZMap as a pre-scanner; IVRE can also import XML
output from Nmap and
Masscan).
The advertising slogans are:
- (in French): IVRE, il scanne Internet.
- (in English): Know the networks, get DRUNK!
The names IVRE and DRUNK have been chosen as a tribute to "Le Taullier".
Have a look at the project homepage, and at the screenshot gallery for an overview of the Web interface. We have a demonstration instance, just contact us to get an access.
A few blog posts have been written to show some features of IVRE.
See doc/README (and doc/* files) for more
information.
On a server with the IVRE web server properly installed with a
Dokuwiki notepad, the doc/* files are available under the doc:
namespace (e.g., doc:readme for the doc/README
file).
On a client with IVRE installed, you can use a --help option with
most IVRE CLI tools, and use help(ivre.module) with most IVRE Python
sub-modules.
IVRE is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
IVRE is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with IVRE. If not, see the gnu.org web site.
Try --help for the CLI tools, help() under Python and the "HELP"
button in the web interface.
Feel free to contact the author and offer him a beer if you need help!
If you don't like beer, a good scotch or any other good alcoholic beverage will do (it is the author's unalienable right to decide whether a beverage is good or not).
Code contributions (pull-requests) are of course welcome!
The project needs scan results and capture files that can be provided as examples. If you can contribute some samples, or if you want to contribute some samples and would need some help to do so, or if you can provide a server to run scans, please contact the author.
For both support and contribution, the repository on Github should be used: feel free to create a new issue or a pull request!
You can also try to use the e-mail dev on the domain ivre.rocks,
or to join the IRC chan #ivre on
Freenode.
This file is part of IVRE. Copyright 2011 - 2016 Pierre LALET.