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https://github.com/ail-project/ail-framework.git
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1379ef705a
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
66 lines
1.8 KiB
Python
Executable file
66 lines
1.8 KiB
Python
Executable file
#!/usr/bin/env python2
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# -*-coding:UTF-8 -*
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import redis, ConfigParser, json
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from datetime import date, datetime, time
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from flask import Flask, request, render_template, jsonify
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import flask
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# CONFIG #
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cfg = ConfigParser.ConfigParser()
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cfg.read('../../bin/packages/config.cfg')
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# REDIS #
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r_serv = redis.StrictRedis(
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host = cfg.get("Redis_Queues", "host"),
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port = cfg.getint("Redis_Queues", "port"),
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db = cfg.getint("Redis_Queues", "db"))
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r_serv_log = redis.StrictRedis(
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host = cfg.get("Redis_Log", "host"),
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port = cfg.getint("Redis_Log", "port"),
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db = cfg.getint("Redis_Log", "db"))
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app = Flask(__name__, static_url_path='/static/')
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def event_stream():
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pubsub = r_serv_log.pubsub()
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pubsub.psubscribe("Script" + '.*')
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for msg in pubsub.listen():
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level = msg['channel'].split('.')[1]
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if msg['type'] == 'pmessage' and level != "DEBUG":
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yield 'data: %s\n\n' % json.dumps(msg)
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@app.route("/_logs")
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def logs():
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return flask.Response(event_stream(), mimetype="text/event-stream")
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@app.route("/_stuff", methods = ['GET'])
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def stuff():
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row1 = []
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for queue in r_serv.smembers("queues"):
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row1.append((queue, r_serv.llen(queue)))
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return jsonify(row1=row1)
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@app.route("/")
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def index():
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row = []
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for queue in r_serv.smembers("queues"):
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row.append((queue, r_serv.llen(queue)))
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return render_template("index.html", queues_name = row)
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@app.route("/monitoring/")
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def monitoring():
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for queue in r_serv.smembers("queues"):
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return render_template("Queue_live_Monitoring.html",last_value = queue)
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@app.route("/wordstrending/")
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def wordstrending():
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return render_template("Wordstrending.html")
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if __name__ == "__main__":
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app.run(host='172.16.100.123' ,port=7000, threaded=True)
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