Implementing phishing detection for Gmail and Outlook messages. Creating methods to check for phishing through links, keywords, and integrating a trained model for email verification. Adding validation checks for data from Outlook.
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@ -26,8 +26,25 @@ SCOPES = ['https://www.googleapis.com/auth/gmail.readonly','https://www.googleap
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API_SERVICE_NAME = 'gmail'
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API_VERSION = 'v1'
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SAFE_EMAILS_FILE = 'safe_emails.json'
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# Load safe emails from file
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def load_safe_emails():
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if os.path.exists(SAFE_EMAILS_FILE):
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with open(SAFE_EMAILS_FILE, 'r') as file:
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return json.load(file)
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return []
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# Save safe emails to file
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def save_safe_emails(safe_emails):
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with open(SAFE_EMAILS_FILE, 'w') as file:
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json.dump(safe_emails, file)
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safe_emails = load_safe_emails()
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model = joblib.load('spam_classifier_model.pkl')
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vectorizer = joblib.load('vectorizer.pkl')
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def load_client_secrets():
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with open(CLIENT_SECRETS_FILE) as f:
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return json.load(f)
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@ -91,6 +108,22 @@ def oauth2callback():
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app.logger.error("Traceback: " + traceback.format_exc())
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return jsonify({'error': 'Exception', 'message': str(e)}), 500
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@app.route('/validate-outlook-login', methods=['POST'])
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def validate_outlook_login():
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data = request.json
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username = data['email']
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password = data['password']
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try:
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mail = imaplib.IMAP4_SSL("outlook.office365.com")
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mail.login(username, password)
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mail.logout()
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return jsonify({"success": True}), 200
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except imaplib.IMAP4.error:
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return jsonify({"success": False, "error": "Invalid credentials"}), 401
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except UnicodeEncodeError:
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return jsonify({"success": False, "error": "Encoding error"}), 400
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@app.route('/fetch-emails', methods=['POST'])
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def fetch_emails():
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data = request.json
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@ -103,6 +136,12 @@ def fetch_emails():
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mail.select("inbox")
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except imaplib.IMAP4.error:
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return jsonify({"error": "Login failed. Check your email and password."}), 401
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except UnicodeEncodeError:
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return jsonify({"error": "Encoding error. Ensure your email and password contain only valid characters."}), 400
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status, messages = mail.search(None, "ALL")
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if status != "OK":
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return jsonify({"error": "Failed to retrieve emails."}), 500
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status, messages = mail.search(None, "ALL")
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email_ids = messages[0].split()
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@ -126,39 +165,112 @@ def fetch_emails():
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body += part.get_payload(decode=True).decode(part.get_content_charset() or "utf-8")
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else:
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body = msg.get_payload(decode=True).decode(msg.get_content_charset() or "utf-8")
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email_vectorized = vectorizer.transform([body])
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prediction = model.predict(email_vectorized)
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result = True if prediction == 1 or contains_suspicious_links(body) or contains_phishing_indicators(subject, email_address,body) else False
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emails.append({"id": email_id.decode(),
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"from": email_address,
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"subject": subject,
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"snippet": body,
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"suspicious": result})
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emails.append({"id": email_id.decode(), "from": from_, "name": name, "email_address": email_address,
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"subject": subject, "body": body})
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return jsonify(emails)
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@app.route('/check_auth_status', methods=['GET'])
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def check_auth_status():
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if 'credentials' in session:
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credentials = google.oauth2.credentials.Credentials(**session['credentials'])
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if credentials and credentials.valid:
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return jsonify({'logged_in': True})
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return jsonify({'logged_in': False})
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@app.route('/classify-email', methods=['POST'])
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def classify_email():
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data = request.json
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email_body = data['body']
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email_vectorized = vectorizer.transform([email_body])
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prediction = model.predict(email_vectorized)
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result = "Suspicious" if prediction == 1 else "Not suspicious"
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return jsonify({"result": result})
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@app.route('/check_mail')
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def check_mail():
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if 'credentials' not in session:
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return redirect('authorize')
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credentials = google.oauth2.credentials.Credentials(
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**session['credentials'])
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@app.route('/mark-safe', methods=['POST'])
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def mark_safe():
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data = request.json
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email_id = data['email_id']
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# Logic to mark email as safe
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return jsonify({"message": f"Email {email_id} marked as safe"})
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gmail = googleapiclient.discovery.build(
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'gmail', 'v1', credentials=credentials)
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results = gmail.users().messages().list(userId='me', labelIds=['INBOX']).execute()
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messages = results.get('messages', [])
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emails = []
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for message in messages:
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msg = gmail.users().messages().get(userId='me', id=message['id']).execute()
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snippet = msg.get('snippet', '')
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payload = msg.get('payload', {})
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headers = payload.get('headers', [])
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subject = ''
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sender = ''
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result = False
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for header in headers:
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if header['name'] == 'Subject':
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subject = header['value']
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if header['name'] == 'From':
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sender = header['value']
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email_vectorized = vectorizer.transform([snippet])
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prediction = model.predict(email_vectorized)
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if message['id'] not in safe_emails:
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result = True if prediction == 1 or contains_suspicious_links(snippet) or contains_phishing_indicators(subject, sender,snippet) else False
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emails.append({
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'subject': subject,
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'from': sender,
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'snippet': snippet,
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'id': message['id'],
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'suspicious': result
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})
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return jsonify(emails)
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@app.route('/logout', methods=['POST'])
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def logout():
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session.clear()
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app.logger.info("Session cleared. User logged out.")
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return jsonify({'message': 'Logged out'}), 200
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@app.route('/mark_safe/<email_id>', methods=['POST'])
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def mark_safe(email_id):
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global safe_emails
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safe_emails.append(email_id)
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save_safe_emails(safe_emails)
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app.logger.info(f'Email {email_id} marked as safe')
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return jsonify({"message": f"Email {email_id} marked as safe"}), 200
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@app.route('/move_trash/<email_id>', methods=['POST'])
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def move_trash(email_id):
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if 'credentials' not in session:
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return jsonify({'message': 'Not logged in'}), 401
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credentials = google.oauth2.credentials.Credentials(
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**session['credentials'])
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gmail = googleapiclient.discovery.build(
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'gmail', 'v1', credentials=credentials)
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try:
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gmail.users().messages().modify(
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userId='me',
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id=email_id,
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body={'removeLabelIds': ['INBOX'], 'addLabelIds': ['TRASH']}
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).execute()
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app.logger.info(f'Email {email_id} moved to trash')
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return jsonify({"message": f"Email {email_id} moved to trash"}), 200
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except Exception as e:
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app.logger.error(f"Exception moving email to trash: {str(e)}")
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return jsonify({"error": str(e)}), 500
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@app.route('/delete-email', methods=['POST'])
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def delete_email():
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data = request.json
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email_id = data['email_id']
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# Connect to the mail server and delete the email
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username = data['username']
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password = data['password']
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try:
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mail = imaplib.IMAP4_SSL("outlook.office365.com")
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mail.login(username, password)
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@ -169,6 +281,36 @@ def delete_email():
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except imaplib.IMAP4.error:
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return jsonify({"error": "Failed to delete email"}), 500
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def contains_suspicious_links(snippet):
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url_pattern = re.compile(r'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\(\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+')
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urls = url_pattern.findall(snippet)
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suspicious_domains = ['phishingsite.com', 'malicious.com']
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for url in urls:
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for domain in suspicious_domains:
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if domain in url:
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return True
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return False
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def contains_phishing_indicators(subject, sender, body):
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phishing_subject_keywords = ['urgent', 'important', 'update', 'verification', 'account', 'password', 'verify']
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phishing_senders = ['no-reply@phishingsite.com', 'support@malicious.com']
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phishing_body_keywords = ['click', 'verify', 'confirm']
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for keyword in phishing_subject_keywords:
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if keyword in subject.lower():
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return True
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for phishing_sender in phishing_senders:
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if phishing_sender in sender.lower():
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return True
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for keyword in phishing_body_keywords:
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if keyword in body.lower():
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return True
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return False
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def credentials_to_dict(credentials):
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return {
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'token': credentials.token,
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@ -179,6 +321,5 @@ def credentials_to_dict(credentials):
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'scopes': credentials.scopes
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}
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if __name__ == '__main__':
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app.run(debug=True)
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app.run(port=5000, debug=True)
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