mirror of https://github.com/CIRCL/AIL-framework
241 lines
9.4 KiB
Python
241 lines
9.4 KiB
Python
#!/usr/bin/env python3
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# -*-coding:UTF-8 -*
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'''
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Blueprint Flask: crawler splash endpoints: dashboard, onion crawler ...
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'''
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import os
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import sys
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import json
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import random
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from flask import Flask, render_template, jsonify, request, Blueprint, redirect, url_for, Response, abort
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from flask_login import login_required, current_user, login_user, logout_user
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sys.path.append('modules')
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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, 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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import Pgp
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import Decoded
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bootstrap_label = Flask_config.bootstrap_label
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vt_enabled = Flask_config.vt_enabled
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# ============ BLUEPRINT ============
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correlation = Blueprint('correlation', __name__, template_folder=os.path.join(os.environ['AIL_FLASK'], 'templates/correlation'))
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# ============ VARIABLES ============
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######
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### graph_line_json
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### 'hashDecoded.pgpdump_graph_line_json'
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### 'hashDecoded.cryptocurrency_graph_line_json'
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###
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######
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# ============ FUNCTIONS ============
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def sanitise_graph_mode(graph_mode):
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if graph_mode not in ('inter', 'union'):
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return 'union'
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else:
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return graph_mode
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def sanitise_nb_max_nodes(nb_max_nodes):
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try:
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nb_max_nodes = int(nb_max_nodes)
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if nb_max_nodes < 2:
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nb_max_nodes = 300
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except:
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nb_max_nodes = 300
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return nb_max_nodes
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def sanitise_correlation_names(correlation_names):
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'''
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correlation_names ex = 'pgp,crypto'
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'''
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all_correlation_names = Correlate_object.get_all_correlation_names()
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if correlation_names is None:
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return all_correlation_names
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else:
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l_correlation_names = []
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for correl in correlation_names.split(','):
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if correl in all_correlation_names:
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l_correlation_names.append(correl)
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if l_correlation_names:
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return l_correlation_names
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else:
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return all_correlation_names
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def sanitise_correlation_objects(correlation_objects):
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'''
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correlation_objects ex = 'domain,decoded'
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'''
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all_correlation_objects = Correlate_object.get_all_correlation_objects()
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if correlation_objects is None:
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return all_correlation_objects
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else:
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l_correlation_objects = []
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for correl in correlation_objects.split(','):
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if correl in all_correlation_objects:
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l_correlation_objects.append(correl)
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if l_correlation_objects:
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return l_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, 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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elif object_type == 'decoded':
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card_dict["sparkline"] = Decoded.get_list_nb_previous_hash(correlation_id, 6)
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card_dict["icon"] = Correlate_object.get_correlation_node_icon(object_type, value=correlation_id)
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card_dict["vt"] = Decoded.get_decoded_vt_report(correlation_id)
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card_dict["vt"]["status"] = vt_enabled
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elif object_type == 'domain':
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card_dict["icon"] = Correlate_object.get_correlation_node_icon(object_type, value=correlation_id)
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card_dict["tags"] = Domain.get_domain_tags(correlation_id)
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elif object_type == 'paste':
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card_dict["icon"] = Correlate_object.get_correlation_node_icon(object_type, value=correlation_id)
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return card_dict
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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_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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type_id = request.form.get('type_id')
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correlation_id = request.form.get('correlation_id')
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max_nodes = request.form.get('max_nb_nodes_in')
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mode = request.form.get('mode')
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if mode:
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mode = 'inter'
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else:
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mode = 'union'
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## get all selected correlations
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correlation_names = []
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correlation_objects = []
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#correlation_names
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correl_option = request.form.get('CryptocurrencyCheck')
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if correl_option:
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correlation_names.append('cryptocurrency')
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correl_option = request.form.get('PgpCheck')
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if correl_option:
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correlation_names.append('pgp')
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correl_option = request.form.get('DecodedCheck')
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if correl_option:
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correlation_names.append('decoded')
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# correlation_objects
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correl_option = request.form.get('DomainCheck')
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if correl_option:
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correlation_objects.append('domain')
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correl_option = request.form.get('PasteCheck')
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if correl_option:
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correlation_objects.append('paste')
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# list as params
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correlation_names = ",".join(correlation_names)
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correlation_objects = ",".join(correlation_objects)
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# redirect to keep history and bookmark
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return redirect(url_for('correlation.show_correlation', object_type=object_type, type_id=type_id, correlation_id=correlation_id, mode=mode,
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max_nodes=max_nodes, correlation_names=correlation_names, correlation_objects=correlation_objects))
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# request.method == 'GET'
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else:
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object_type = request.args.get('object_type')
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type_id = request.args.get('type_id')
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correlation_id = request.args.get('correlation_id')
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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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# check if correlation_id exist
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if not Correlate_object.exist_object(object_type, correlation_id, type_id=type_id):
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abort(404) # return 404
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# oject exist
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else:
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dict_object = {"object_type": object_type, "correlation_id": correlation_id}
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dict_object["max_nodes"] = max_nodes
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dict_object["mode"] = mode
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dict_object["correlation_names"] = correlation_names
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dict_object["correlation_names_str"] = ",".join(correlation_names)
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dict_object["correlation_objects"] = correlation_objects
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dict_object["correlation_objects_str"] = ",".join(correlation_objects)
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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, 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/get/description')
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@login_required
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@login_read_only
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def get_description():
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object_id = request.args.get('object_id')
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object_id = object_id.split(';')
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# unpack object_id # # TODO: put me in lib
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if len(object_id) == 3:
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object_type = object_id[0]
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type_id = object_id[1]
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correlation_id = object_id[2]
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elif len(object_id) == 2:
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object_type = object_id[0]
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type_id = None
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correlation_id = object_id[1]
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else:
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return jsonify({})
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# check if correlation_id exist
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# # TODO: return error json
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if not Correlate_object.exist_object(object_type, correlation_id, type_id=type_id):
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return Response(json.dumps({"status": "error", "reason": "404 Not Found"}, indent=2, sort_keys=True), mimetype='application/json'), 404
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# oject exist
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else:
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res = Correlate_object.get_object_metadata(object_type, correlation_id, type_id=type_id)
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return jsonify(res)
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@correlation.route('/correlation/graph_node_json')
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@login_required
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@login_read_only
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def graph_node_json():
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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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object_type = request.args.get('object_type')
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max_nodes = sanitise_nb_max_nodes(request.args.get('max_nodes'))
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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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mode = sanitise_graph_mode(request.args.get('mode'))
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res = Correlate_object.get_graph_node_object_correlation(object_type, correlation_id, mode, correlation_names, correlation_objects, requested_correl_type=type_id, max_nodes=max_nodes)
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return jsonify(res)
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