AIL framework – Analysis Information Leak framework

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Today we share many information online and this needs to be monitored constantly. Some of the information may include sensitive data like passwords, credit card information or any other sensitive information.

If you are looking to monitor sensitive data online you can use AIL framework. AIL is a modular framework to analyze potential information leaks from unstructured data sources like pastes from Pastebin or similar services or unstructured data streams. AIL framework is flexible as the tool is python based and open source this makes it possible to extend supporting other functionalities and platforms.

AIL framework

AIL framework

Some of the basic features are:

  • Modular architecture to handle streams of unstructured or structured information
  • Default support for external ZMQ feeds, such as provided by CIRCL or other providers
  • Each module can process and reprocess the information already processed by AIL
  • Detecting and extracting URLs including their geographical location (e.g. IP address location)
  • Extracting and validating potential leak of credit cards numbers
  • Extracting and validating email addresses leaked including DNS MX validation
  • Module for extracting Tor .onion addresses (to be further processed for analysis)
  • Extracting and validating potential hostnames (e.g. to feed Passive DNS systems)
  • A full-text indexer module to index unstructured information
  • Modules and web statistics
  • Global sentiment analysis for each providers based on nltk vader module
  • Terms tracking and occurrence
  • Many more modules for extracting phone numbers, credentials and others

You can read more and download this tool over here: https://github.com/CIRCL/AIL

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