new: [tools] gen E.A.S.T. galaxy tool - not functional

tools/gen_east_fraud.py

@@ -0,0 +1,61 @@
+#!/usr/bin/env python3
+#
+#    A simple convertor of the E.A.S.T. Fraud definitions to a MISP Galaxy datastructure.
+#    https://www.association-secure-transactions.eu/industry-information/fraud-definitions/
+#    Copyright (c) 2023 MISP Project
+#
+#    This program is free software: you can redistribute it and/or modify
+#    it under the terms of the GNU Affero General Public License as
+#    published by the Free Software Foundation, either version 3 of the
+#    License, or (at your option) any later version.
+#
+#    This program is distributed in the hope that it will be useful,
+#    but WITHOUT ANY WARRANTY; without even the implied warranty of
+#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#    GNU Affero General Public License for more details.
+#
+#    You should have received a copy of the GNU Affero General Public License
+#    along with this program.  If not, see <http://www.gnu.org/licenses/>.
+
+from bs4 import BeautifulSoup
+import json
+import requests
+import string
+import uuid
+
+url = 'https://www.association-secure-transactions.eu/industry-information/fraud-definitions/'
+techniques = []
+
+
+def write_file(self, fname, file_data):
+    with open(fname, 'w') as f:
+        json.dump(file_data, f, indent=2, sort_keys=True, ensure_ascii=False)
+        f.write('\n')
+
+
+try:
+    response = requests.get(url, timeout=3)
+except Exception:
+    exit("ERROR: Could not download the webpage. Are you sure you have internet connectivity?")
+
+soup = BeautifulSoup(response.content, 'lxml')
+entry_content = soup.find('div', class_='entry-content')
+t_first = entry_content.find('table')
+p_start = t_first.find_previous_sibling()
+# for sibling in
+for child in entry_content.children:
+    if 'p' == child.name and child.find('strong'):
+        # new category
+        category = string.capwords(child.text)
+    elif 'table' == child.name:
+        # new sub-category with entries to parse
+        sub_category = string.capwords(child.find('th').text.split('\n')[0])
+        # print(f'{category} - {sub_category}')
+        for tr in child.find_all('tr'):
+            try:
+                k, v = tr.find_all('td')
+            except ValueError:
+                continue  # skip header row
+            # print(f' {k.text}: {v.text}')
+            print(f'{category} - {sub_category} - {k.text}')
+print("ERROR : This program is not ready yet. Please ignore.")