kycnot.me/automated-checks.py

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4.8 KiB
Python

import ruamel.yaml
from bs4 import BeautifulSoup
import httpx
import datetime
from urllib.parse import unquote
import os
base_dir = os.path.abspath(os.path.dirname(__name__))
data_dir = os.path.join(base_dir, 'data')
yaml = ruamel.yaml.YAML()
def main():
compute_score()
kyc_check()
def compute_score():
with open(f"{data_dir}/exchanges.yml", "r+") as exchanges:
data = yaml.load(exchanges)
for exchange in data['exchanges']:
score = 0
if not exchange['may-kyc']:
score += 2.25
if not exchange['custodial']:
score += 1.0
if not exchange['registration']:
score += 0.75
if not exchange['personal-info']:
score += 2.5
if exchange['kyc-check']:
score += 1.75
if exchange['p2p']:
score += 1.25
if exchange['open-source']:
score += 0.25
if exchange['tor']:
score += 0.25
if score < 7 and exchange['verified']:
score += 1
if score < 6 and exchange['refunds']:
score += 1
if score > 10:
exchange['score'] = 10.0
else:
exchange['score'] = score+exchange['score-boost']
exchanges.seek(0)
yaml.dump(data, exchanges)
exchanges.truncate()
def kyc_check():
keywords = ['kyc', 'aml', 'know your customer', 'money laundering', 'terrorist financing', 'identify user', 'user identification', 'User Identity Verification', 'identity verification', 'user identity', 'provide required personal information', 'provide personal information',
'KYC requirements', 'AML requirements', 'AML/KYC', 'KYC/AML', 'anti-money laundering', 'U.S. Bank Secrecy Act', 'BSA', '4th AML Directive', 'verify your identity', 'passport', "dirver's license", 'identity card', 'verify your identity', 'identity checks', 'mandatory identification', 'complete our ID verification process',
'anti-money laundering', 'financing of terrorism', 'know your customer compliance', 'require identity verification']
dom_generated_tos_POTKYC_exchanges = ['Kucoin']
kycnotme_compilant_exchanges_without_tos = ['Tradeogre']
with open(f"{data_dir}/exchanges.yml", "r+") as exchanges:
data = yaml.load(exchanges)
print("EDITING LAST CHECK")
for exchange in data['exchanges']:
if exchange['tos-urls'][0]:
print(f"Exchange: {exchange['name']}")
for url in exchange['tos-urls']:
r = httpx.get(url)
soup = BeautifulSoup(r.content, features="html.parser")
found_words = []
suspicious_ptags = []
potential_kyc = False
for ptag in soup.find_all('p'):
ptag_string = str(ptag)
for kw in keywords:
if kw in ptag_string:
found_words.append(kw)
if len(found_words) >= 2:
suspicious_ptags.append(str(ptag))
potential_kyc = True
'''
pageString = str(BeautifulSoup(
r.content, features="html.parser"))
fw = []
potential_kyc = False
for kw in keywords:
if kw in pageString:
fw.append(kw)
if len(fw) >= 2:
potential_kyc = True
'''
else:
if exchange['name'] in kycnotme_compilant_exchanges_without_tos or ".onion" in exchange['url']:
potential_kyc = False
if exchange['name'] in dom_generated_tos_POTKYC_exchanges:
potential_kyc = True
elif potential_kyc:
exchange['kyc-check'] = found_words
exchange['suspicious-tos'] = suspicious_ptags
exchanges.seek(0)
yaml.dump(data, exchanges)
exchanges.truncate()
print("------ WARNING ------")
print(
f''' Potential KYC on {exchange['name']} ToS. Found words were: \n {found_words}''')
print("---------------------")
else:
exchange['kyc-check'] = True
exchanges.seek(0)
yaml.dump(data, exchanges)
exchanges.truncate()
data['last_check'] = datetime.datetime.today()
data['exchanges'] = sorted(data['exchanges'], key=lambda k: k['score'], reverse=True)
exchanges.seek(0)
yaml.dump(data, exchanges)
exchanges.truncate()
if __name__ == "__main__":
main()