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.

This commit is contained in:
s452624 2024-06-09 18:00:35 +03:00
parent 7d649bdcfd
commit 32c8389ca5

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