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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
61 lines
889 B
INI
61 lines
889 B
INI
[Directories]
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bloomfilters = /home/user/Blooms/
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pastes = /home/user/PASTES/
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##### Redis #####
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[Redis_Cache]
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host = localhost
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port = 6379
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db = 0
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[Redis_Log]
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host = localhost
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port = 6380
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db = 0
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[Redis_Queues]
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host = localhost
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port = 6381
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db = 0
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[Redis_Data_Merging]
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host = localhost
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port = 6379
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db = 1
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##### LevelDB #####
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[Redis_Level_DB]
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host = localhost
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port = 2013
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db = 0
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[Redis_Level_DB_Hashs]
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host = localhost
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port = 2013
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db = 1
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# PUB / SUB : ZMQ
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[Feed]
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adress = tcp://crf.circl.lu:5556
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topicfilter = 102
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[PubSub_Global]
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adress = tcp://127.0.0.1:5000
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channel = filelist
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[PubSub_Longlines]
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adress = tcp://127.0.0.1:5001
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channel_0 = Longlines
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channel_1 = Shortlines
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[PubSub_Words]
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adress = tcp://127.0.0.1:5002
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channel_0 = words
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[PubSub_Categ]
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adress = tcp://127.0.0.1:5003
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#Channels are dynamic (1 channel per categ)
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[PubSub_Url]
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adress = tcp://127.0.0.1:5004
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channel = urls
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