Phishing Abhiyan addresses the following challenges:

• Inability to simulate realistic phishing attacks.
• Difficulty in gathering and profiling target email addresses.
• Limited insights into campaign effectiveness and user responses.

• Login and Campaign Management: Users can log in to a dashboard to manage and monitor phishing campaigns.
• Campaign Analytics and Visualizations: Detailed visualizations of campaign metrics and performance analytics.
• Manual CSV Upload: Option to manually upload CSV files for emails.

• Automated Email Gathering: Tools and techniques to automate the collection of email addresses.
• Email Verification: Verification tools to validate addresses and filter inactive ones.

• Model Tuning: Tuning LLM models with spam email datasets to generate realistic phishing emails.
• Phishing Email Creation: Generating tailored phishing emails that mimic target domain communication styles.
• Campaign Execution: Automated bots for sending phishing emails and tracking performance metrics like open rates and click rates.

• AI Personas: Creating AI personas to simulate real user responses to phishing emails.
• Phishing Attempt Refinement: Iterative refinement of phishing email content based on response evaluations.

• IP Tracking: Logging IP addresses of phishing email recipients for tracking purposes.
• Geolocation: Utilizing IP geolocation services to identify recipient geolocations.

To set up Phishing Abhiyan locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/dalvishruti14/hactivate_hactify.git

2. Navigate to the project directory:

   cd hactivate_hactify-main

3. Run the email finder:

   cd Part1
   python main.py

4. Run the chatbot for sending phishing emails:

   cd ../Send
   python app.py

5. Run the chatbot for responding to phishing emails:

   cd ../Bot_Response
   streamlit run app.py

6. Run the chatbot for help:

   cd ../Bot_Response1.0
   streamlit run Doubts.py

7. Run the live server

Watch the Demo here