AIL Framework

The AIL (Analysis of Information Leaks) Framework is an open-source tool specifically created to analyze potential information leaks that may occur from unstructured data sources. This framework assists users in identifying and evaluating the risks associated with data exposure.

It processes data from various sources, including pastes and data streams, to detect sensitive information. Key features include: - A modular architecture designed to manage both structured and unstructured data - Support for external ZMQ feeds - Detection of URLs and geolocation information - Identification of credit card numbers and credential leaks - Extraction and validation of email addresses - Extraction of Tor .onion addresses - Full-text indexing capabilities for efficient search - YARA rule matching and retro-hunting functionalities for threat detection - Decoding of encoded files for analysis - Detection of API keys (AWS, Google) to prevent misuse - Identification of cryptocurrency addresses for monitoring - A tagging system that integrates with MISP Galaxy and Taxonomies for organization - Integration with MISP and TheHive for sharing threat intelligence effectively - A correlation engine that visualizes relationships between the extracted data for better insights - A web crawler for scanning websites, forums, and Tor hidden services to gather information - Monitoring for domain availability to assist with cybersecurity efforts