- Added term frequency in curve.
- Modified ModuleStats and WebStats to use redis special command (incrby instead of get-set and zset) and Flask to perform the correct queries.
- Added panel color in sentiment trending
Fixed typo key in redis for module creditcard and sqlinjection
Modified Curve redisLvlDb server
Modified Url.py so that it forwards name of protocol from saved protocolsfile
Added Cache control in Flask
Modified key-tab name into keys-tab
Fixed a Faup bug in credential (multiple instanciation) and added correc populate_set_out in concerned modules (creditcard, credential, ...).
Linked browse_warning_paste module and Flask function with redis (created new sets).
AIL is a modular framework to analyse potential information leak from unstructured data source like pastes from Past
ebin or similar services. AIL framework is flexible and can be extended to support other functionalities to mine sen
sitive information