API Reference

https://yourdomain.com/documentation

https://yourdomain.com/documentation/json

{
  "target_id": "a7k2m9",
  "address": "john.smith@target.com",
  "campaign": "Q4_2023_Campaign",
  "phished": 0
}

Not Authorized

# Install OpenAPI Generator
npm install @openapitools/openapi-generator-cli -g

# Generate Python client
openapi-generator-cli generate \
  -i https://yourdomain.com/documentation/json \
  -g python \
  -o ./phishmonger-python-client

# Generate JavaScript client
openapi-generator-cli generate \
  -i https://yourdomain.com/documentation/json \
  -g javascript \
  -o ./phishmonger-js-client

import csv
import requests

def import_targets(csv_file, campaign_name, cookie_value):
    base_url = 'https://yourdomain.com'
    headers = {'Cookie': f'admin_cookie={cookie_value}'}

    with open(csv_file, 'r') as f:
        reader = csv.DictReader(f)
        for row in reader:
            target = {
                'campaign': campaign_name,
                'address': row['email'],
                'first_name': row['first_name'],
                'last_name': row['last_name'],
                'position': row['position'],
                'custom': row.get('custom', '')
            }

            response = requests.post(
                f'{base_url}/create_target',
                headers=headers,
                json=target
            )

            if response.status_code == 200:
                print(f"Added: {target['address']}")
            else:
                print(f"Failed: {target['address']}")

import_targets('targets.csv', 'Q4_2023_Campaign', 'YOUR_COOKIE_VALUE')

import requests
import time

def monitor_campaign(campaign_name, cookie_value):
    base_url = 'https://yourdomain.com'
    headers = {'Cookie': f'admin_cookie={cookie_value}'}

    while True:
        # Get campaign events
        events = requests.get(
            f'{base_url}/get_campaign_events',
            headers=headers,
            params={'campaign': campaign_name}
        ).json()

        # Count event types
        email_sent = len([e for e in events if e['event_type'] == 'EMAIL_SENT'])
        clicks = len([e for e in events if e['event_type'] == 'CLICK'])
        submissions = len([e for e in events if e['event_type'] == 'POST_DATA'])

        print(f"Campaign: {campaign_name}")
        print(f"  Emails Sent: {email_sent}")
        print(f"  Clicks: {clicks}")
        print(f"  Submissions: {submissions}")
        print(f"  CTR: {(clicks/email_sent*100) if email_sent > 0 else 0:.2f}%")
        print()

        time.sleep(60)  # Check every minute

monitor_campaign('Q4_2023_Campaign', 'YOUR_COOKIE_VALUE')

import requests
import csv

def export_campaign_results(campaign_name, cookie_value, output_file):
    base_url = 'https://yourdomain.com'
    headers = {'Cookie': f'admin_cookie={cookie_value}'}

    # Get targets
    targets = requests.get(
        f'{base_url}/get_targets',
        headers=headers,
        params={'campaign': campaign_name}
    ).json()

    # Get events for each target
    results = []
    for target in targets:
        events = requests.get(
            f'{base_url}/get_target_events',
            headers=headers,
            params={'target_id': target['target_id']}
        ).json()

        clicked = any(e['event_type'] == 'CLICK' for e in events)
        submitted = any(e['event_type'] == 'POST_DATA' for e in events)

        results.append({
            'email': target['address'],
            'first_name': target['first_name'],
            'last_name': target['last_name'],
            'position': target['position'],
            'email_sent': target['phished'] == 1,
            'clicked': clicked,
            'submitted_data': submitted
        })

    # Write to CSV
    with open(output_file, 'w', newline='') as f:
        writer = csv.DictWriter(f, fieldnames=results[0].keys())
        writer.writeheader()
        writer.writerows(results)

    print(f"Exported {len(results)} results to {output_file}")

export_campaign_results('Q4_2023_Campaign', 'YOUR_COOKIE_VALUE', 'results.csv')