9.3 KiB
AIL framework
| Latest Release |  |
| CI |  |
| Gitter |  |
| Contributors |  |
| License |  |
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).
Features
- Modular architecture to handle streams of unstructured or structured information
- Default support for external ZMQ feeds, such as provided by CIRCL or other providers
- Multiple Importers and feeds support
- Each module can process and reprocess the information already analyzed by AIL
- Detecting and extracting URLs including their geographical location (e.g. IP address location)
- Extracting and validating potential leaks of credit card numbers, credentials, ...
- Extracting and validating leaked email addresses, including DNS MX validation
- Module for extracting Tor .onion addresses for further analysis
- Keep tracks of credentials duplicates (and diffing between each duplicate found)
- Extracting and validating potential hostnames (e.g. to feed Passive DNS systems)
- A full-text indexer module to index unstructured information
- Terms, Set of terms, Regex, typo squatting and YARA tracking and occurrence
- YARA Retro Hunt
- Many more modules for extracting phone numbers, credentials, and more
- Alerting to MISP to share found leaks within a threat intelligence platform using MISP standard
- Detecting and decoding encoded file (Base64, hex encoded or your own decoding scheme) and storing files
- Detecting Amazon AWS and Google API keys
- Detecting Bitcoin address and Bitcoin private keys
- Detecting private keys, certificate, keys (including SSH, OpenVPN)
- Detecting IBAN bank accounts
- Tagging system with MISP Galaxy and MISP Taxonomies tags
- UI submission
- Create events on MISP and cases on The Hive
- Automatic export on detection with MISP (events) and The Hive (alerts) on selected tags
- Extracted and decoded files can be searched by date range, type of file (mime-type) and encoding discovered
- Correlations engine and Graph to visualize relationships between decoded files (hashes), PGP UIDs, domains, username, and cryptocurrencies addresses
- Websites, Forums and Tor Hidden-Services hidden services crawler to crawl and parse output
- Domain availability monitoring to detect up and down of websites and hidden services
- Browsed hidden services are automatically captured and integrated into the analyzed output, including a blurring screenshot interface (to avoid "burning the eyes" of security analysts with sensitive content)
- Tor hidden services is part of the standard framework, all the AIL modules are available to the crawled hidden services
- Crawler scheduler to trigger crawling on demand or at regular intervals for URLs or Tor hidden services
Installation
To install the AIL framework, run the following commands:
# Clone the repo first
git clone https://github.com/ail-project/ail-framework.git
cd ail-framework
# For Debian and Ubuntu based distributions
./installing_deps.sh
# Launch ail
cd ~/ail-framework/
cd bin/
./LAUNCH.sh -l
The default installing_deps.sh is for Debian and Ubuntu based distributions.
Requirement:
- Python 3.7+
Installation Notes
For Lacus Crawler installation instructions, refer to the HOWTO
Starting AIL
To start AIL, use the following commands:
cd bin/
./LAUNCH.sh -l
You can access the AIL framework web interface at the following URL:
https://localhost:7000/
The default credentials for the web interface are located in the DEFAULT_PASSWORDfile, which is deleted when you change your password.
Training
CIRCL organises training on how to use or extend the AIL framework. AIL training materials are available at https://github.com/ail-project/ail-training.
API
The API documentation is available in doc/README.md
HOWTO
HOWTO are available in HOWTO.md
Privacy and GDPR
For information on AIL's compliance with GDPR and privacy considerations, refer to the AIL information leaks analysis and the GDPR in the context of collection, analysis and sharing information leaks document.
this document provides an overview how to use AIL in a lawfulness context especially in the scope of General Data Protection Regulation.
Research using AIL
If you use or reference AIL in an academic paper, you can cite it using 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}
}
Screenshots
Websites, Forums and Tor Hidden-Services
Login protected, pre-recorded session cookies:
Extracted encoded files from items
Correlation Engine
Investigation
Tagging system
MISP Export
MISP and The Hive, automatic events and alerts creation
UI submission
Trackers
License
Copyright (C) 2014 Jules Debra
Copyright (c) 2021 Olivier Sagit
Copyright (C) 2014-2023 CIRCL - Computer Incident Response Center Luxembourg (c/o smile, security made in Lëtzebuerg, Groupement d'Intérêt Economique)
Copyright (c) 2014-2023 Raphaël Vinot
Copyright (c) 2014-2023 Alexandre Dulaunoy
Copyright (c) 2016-2023 Sami Mokaddem
Copyright (c) 2018-2023 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/>.