mirror of https://github.com/CIRCL/AIL-framework
chg: [Correlation UI] btc address: get related transaction input/output
Terrtia
parent
1ae43d5b31
commit
46f6f648a0
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@ -0,0 +1,53 @@
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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import os
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import sys
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import json
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import requests
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sys.path.append(os.path.join(os.environ['AIL_BIN'], 'packages/'))
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import Cryptocurrency
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blockchain_all='https://blockchain.info/rawaddr'
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# pre-alpha script
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# default nb_transactions = 50
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def get_bitcoin_info(bitcoin_address, nb_transaction=50):
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dict_btc = {}
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set_btc_in = set()
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set_btc_out = set()
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req = None
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try:
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req = requests.get('{}/{}?limit={}'.format(blockchain_all, bitcoin_address, nb_transaction))
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jreq = req.json()
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except Exception as e:
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print(e)
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return dict_btc
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#print(json.dumps(jreq))
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dict_btc['n_tx'] = jreq['n_tx']
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dict_btc['total_received'] = float(jreq['total_received'] / 100000000)
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dict_btc['total_sent'] = float(jreq['total_sent'] / 100000000)
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dict_btc['final_balance'] = float(jreq['final_balance'] / 100000000)
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for transaction in jreq['txs']:
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for input in transaction['inputs']:
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if input['prev_out']['addr'] != bitcoin_address:
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set_btc_in.add(input['prev_out']['addr'])
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for output in transaction['out']:
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if output['addr'] != bitcoin_address:
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set_btc_out.add(output['addr'])
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dict_btc['btc_in'] = filter_btc_seen(set_btc_in)
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dict_btc['btc_out'] = filter_btc_seen(set_btc_out)
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return dict_btc
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# filter btc seen in ail
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def filter_btc_seen(btc_addr_set):
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list_seen_btc = []
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for btc_addr in btc_addr_set:
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if Cryptocurrency.cryptocurrency._exist_corelation_field('bitcoin', btc_addr):
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list_seen_btc.append(btc_addr)
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return list_seen_btc
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@ -18,11 +18,12 @@ import Flask_config
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# Import Role_Manager
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from Role_Manager import create_user_db, check_password_strength, check_user_role_integrity
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from Role_Manager import login_admin, login_analyst
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from Role_Manager import login_admin, login_analyst, login_read_only
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sys.path.append(os.path.join(os.environ['AIL_BIN'], 'lib'))
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import Correlate_object
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import Domain
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import btc_ail
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sys.path.append(os.path.join(os.environ['AIL_BIN'], 'packages'))
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import Cryptocurrency
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@ -95,11 +96,13 @@ def sanitise_correlation_objects(correlation_objects):
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else:
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return all_correlation_objects
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def get_card_metadata(object_type, correlation_id, type_id=None):
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def get_card_metadata(object_type, correlation_id, type_id=None, expand_card=False):
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card_dict = {}
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if object_type == 'cryptocurrency':
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card_dict["sparkline"] = Cryptocurrency.cryptocurrency.get_list_nb_previous_correlation_object(type_id, correlation_id, 6)
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card_dict["icon"] = Correlate_object.get_correlation_node_icon(object_type, type_id)
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if type_id == 'bitcoin' and expand_card:
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card_dict["related_btc"] = btc_ail.get_bitcoin_info(correlation_id)
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elif object_type == 'pgp':
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card_dict["sparkline"] = Pgp.pgp.get_list_nb_previous_correlation_object(type_id, correlation_id, 6)
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card_dict["icon"] = Correlate_object.get_correlation_node_icon(object_type, type_id)
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@ -118,7 +121,7 @@ def get_card_metadata(object_type, correlation_id, type_id=None):
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# ============= ROUTES ==============
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@correlation.route('/correlation/show_correlation', methods=['GET', 'POST']) # GET + POST
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@login_required
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@login_analyst
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@login_read_only
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def show_correlation():
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if request.method == 'POST':
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object_type = request.form.get('object_type')
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@ -168,6 +171,8 @@ def show_correlation():
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max_nodes = sanitise_nb_max_nodes(request.args.get('max_nodes'))
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mode = sanitise_graph_mode(request.args.get('mode'))
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expand_card = request.args.get('expand_card')
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correlation_names = sanitise_correlation_names(request.args.get('correlation_names'))
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correlation_objects = sanitise_correlation_objects(request.args.get('correlation_objects'))
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@ -186,13 +191,13 @@ def show_correlation():
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dict_object["metadata"] = Correlate_object.get_object_metadata(object_type, correlation_id, type_id=type_id)
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if type_id:
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dict_object["metadata"]['type_id'] = type_id
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dict_object["metadata_card"] = get_card_metadata(object_type, correlation_id, type_id=type_id)
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dict_object["metadata_card"] = get_card_metadata(object_type, correlation_id, type_id=type_id, expand_card=expand_card)
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return render_template("show_correlation.html", dict_object=dict_object, bootstrap_label=bootstrap_label)
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@correlation.route('/correlation/graph_node_json')
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@login_required
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@login_analyst
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@login_read_only
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def graph_node_json(): # # TODO: use post
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correlation_id = request.args.get('correlation_id')
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type_id = request.args.get('type_id')
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@ -0,0 +1,178 @@
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<div class="card my-3">
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<div class="card-header" style="background-color:#d9edf7;font-size: 15px">
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<h4 class="text-secondary">{{ dict_object["correlation_id"] }} :</h4>
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<ul class="list-group mb-2">
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<li class="list-group-item py-0">
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<div class="row">
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<div class="col-md-10">
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<table class="table">
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<thead>
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<tr>
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<th>Object type</th>
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<th>type</th>
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<th>First seen</th>
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<th>Last seen</th>
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<th>Nb seen</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>{{ dict_object["object_type"] }}</td>
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<td>
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<svg height="26" width="26">
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<g class="nodes">
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<circle cx="13" cy="13" r="13" fill="orange"></circle>
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<text x="13" y="13" text-anchor="middle" dominant-baseline="central" class="graph_node_icon {{ dict_object["metadata_card"]["icon"]["icon_class"] }}" font-size="16px">{{ dict_object["metadata_card"]["icon"]["icon_text"] }}</text>
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</g>
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</svg>
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{{ dict_object["metadata"]["type_id"] }}
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</td>
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<td>{{ dict_object["metadata"]['first_seen'] }}</td>
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<td>{{ dict_object["metadata"]['last_seen'] }}</td>
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<td>{{ dict_object["metadata"]['nb_seen'] }}</td>
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</tr>
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</tbody>
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</table>
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</div>
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<div class="col-md-1">
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<div id="sparkline"></div>
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</div>
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</div>
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</li>
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</ul>
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{% if dict_object["metadata"]["type_id"] == "bitcoin" %}
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{% if "related_btc" in dict_object["metadata_card"] %}
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<div>
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<table class="table">
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<thead>
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<tr>
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<th>Numbers of transactions</th>
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<th>Total received</th>
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<th>Total sent</th>
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<th>Balance</th>
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<th>Inputs address seen in AIL</th>
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<th>Ouputs address seen in AIL</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>{{ dict_object["metadata_card"]["related_btc"]["n_tx"] }}</td>
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<td>{{ dict_object["metadata_card"]["related_btc"]["total_received"] }}</td>
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<td>{{ dict_object["metadata_card"]["related_btc"]["total_sent"] }}</td>
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<td>{{ dict_object["metadata_card"]["related_btc"]["final_balance"] }}</td>
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<td>
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{% for btc_addr in dict_object["metadata_card"]["related_btc"]["btc_in"] %}
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<a target="_blank" href="{{ url_for('correlation.show_correlation') }}?object_type=cryptocurrency&type_id=bitcoin&correlation_id={{ btc_addr }}&correlation_objects=paste">{{ btc_addr }}</a>
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{% endfor %}
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</td>
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<td>
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{% for btc_addr in dict_object["metadata_card"]["related_btc"]["btc_out"] %}
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<a target="_blank" href="{{ url_for('correlation.show_correlation') }}?object_type=cryptocurrency&type_id=bitcoin&correlation_id={{ btc_addr }}&correlation_objects=paste">{{ btc_addr }}</a>
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{% endfor %}
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</td>
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</tr>
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</tbody>
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</table>
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</div>
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{% else %}
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<a class="btn btn-secondary" href="{{ url_for('correlation.show_correlation') }}?object_type=cryptocurrency&type_id=bitcoin&correlation_id={{ dict_object['correlation_id'] }}&expand_card=True&correlation_objects=paste">Expand Bitcoin address</a>
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{% endif %}
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{% endif %}
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</div>
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</div>
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<script src="{{ url_for('static', filename='js/d3/sparklines.js')}}"></script>
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<script>
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sparkline("sparkline", {{ dict_object["metadata_card"]["sparkline"] }}, {});
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</script>
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<script>
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function create_line_chart(id, url){
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var width = 900;
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var height = Math.round(width / 4);
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var margin = {top: 20, right: 55, bottom: 50, left: 40};
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var x = d3.scaleTime().range([0, width]);
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var y = d3.scaleLinear().rangeRound([height, 0]);
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var xAxis = d3.axisBottom(x);
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var yAxis = d3.axisLeft(y);
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var parseTime = d3.timeParse("%Y-%m-%d");
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var line = d3.line()
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.x(function(d) {
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return x(d.date);
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}).y(function(d) {
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return y(d.value);
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});
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var svg_line = d3.select('#'+id).append('svg')
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.attr("id", "graph_div")
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.attr("width", width + margin.left + margin.right)
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.attr("height", height + margin.top + margin.bottom)
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.append('g')
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.attr('transform', "translate("+ margin.left +","+ margin.top +")");
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var div = d3.select('body').append('div')
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.attr('class', 'tooltip')
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.style('opacity', 0);
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//add div tooltip
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d3.json(url)
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.then(function(data){
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data.forEach(function(d) {
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d.date_label = d.date;
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d.date = parseTime(d.date);
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d.value = +d.value;
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});
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// fit the data
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x.domain(d3.extent(data, function(d) { return d.date; }));
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//x.domain(data.map(function (d) { return d.date; })); //E
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y.domain([0, d3.max(data, function(d){ return d.value ; })]);
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//line
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svg_line.append("path")
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.data([data])
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.attr("class", "line_graph")
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.attr("d", line);
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// add X axis
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svg_line.append("g")
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.attr("transform", "translate(0," + height + ")")
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.call(d3.axisBottom(x))
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.selectAll("text")
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.style("text-anchor", "end")
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.attr("transform", "rotate(-45)" );
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// Add the Y Axis
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svg_line.append("g")
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.call(d3.axisLeft(y));
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//add a dot circle
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svg_line.selectAll('dot')
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.data(data).enter()
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.append('circle')
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.attr('r', 2)
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.attr('cx', function(d) { return x(d.date); })
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.attr('cy', function(d) { return y(d.value); })
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.on('mouseover', function(d) {
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div.transition().style('opacity', .9);
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div.html('' + d.date_label+ '<br/>' + d.value).style('left', (d3.event.pageX) + 'px')
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.style("left", (d3.event.pageX) + "px")
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.style("top", (d3.event.pageY - 28) + "px");
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})
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.on('mouseout', function(d)
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{
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div.transition().style('opacity', 0);
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});
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});
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}
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</script>
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@ -90,8 +90,10 @@
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<div class="col-12 col-lg-10" id="core_content">
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{% if dict_object["object_type"] in ["pgp", "cryptocurrency"] %}
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{% if dict_object["object_type"] == "pgp" %}
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{% include 'correlation/metadata_card_pgp.html' %}
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{% elif dict_object["object_type"] == "cryptocurrency" %}
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{% include 'correlation/metadata_card_cryptocurrency.html' %}
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{% elif dict_object["object_type"] == "decoded" %}
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{% include 'correlation/metadata_card_decoded.html' %}
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{% elif dict_object["object_type"] == "domain" %}
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