AIL framework - Framework for Analysis of Information Leaks
AIL is a modular framework to analyse potential information leaks from unstructured data sources like pastes from Pastebin or similar services or unstructured data streams. AIL framework is flexible and can be extended to support other functionalities to mine or process sensitive information (e.g. data leak prevention).
Type these command lines for a fully automated installation and start AIL framework:
git clone https://github.com/CIRCL/AIL-framework.git
cd AIL-framework
./installing_deps.sh
cd ~/AIL-framework/
cd bin/
./LAUNCH.sh -l
The default installing_deps.sh is for Debian and Ubuntu based distributions.
There is also a Travis file used for automating the installation that can be used to build and install AIL on other systems.
Requirement:
In order to use AIL combined with ZFS or unprivileged LXC it’s necessary to disable Direct I/O in $AIL_HOME/configs/6382.conf
by changing the value of the directive use_direct_io_for_flush_and_compaction
to false
.
cd bin/
./LAUNCH -l
Eventually you can browse the status of the AIL framework website at the following URL:
https://localhost:7000/
The default credentials for the web interface are located in DEFAULT_PASSWORD
. This file is removed when you change your password.
CIRCL organises training on how to use or extend the AIL framework. AIL training materials are available at https://www.circl.lu/services/ail-training-materials/.
HOWTO are available in HOWTO.md
AIL information leaks analysis and the GDPR in the context of collection, analysis and sharing information leaks document provides an overview how to use AIL in a lawfulness context especially in the scope of General Data Protection Regulation.
If you write academic paper, relying or using AIL, it can be cited with the following BibTeX:
@inproceedings{mokaddem2018ail,
title={AIL-The design and implementation of an Analysis Information Leak framework},
author={Mokaddem, Sami and Wagener, G{\'e}rard and Dulaunoy, Alexandre},
booktitle={2018 IEEE International Conference on Big Data (Big Data)},
pages={5049--5057},
year={2018},
organization={IEEE}
}
Copyright (C) 2014 Jules Debra
Copyright (C) 2014-2019 CIRCL - Computer Incident Response Center Luxembourg (c/o smile, security made in Lëtzebuerg, Groupement d'Intérêt Economique)
Copyright (c) 2014-2019 Raphaël Vinot
Copyright (c) 2014-2019 Alexandre Dulaunoy
Copyright (c) 2016-2019 Sami Mokaddem
Copyright (c) 2018-2019 Thirion Aurélien
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program 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 Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.