An email spamming application written in VB.NET (.NET Framework) as a test project back when I originally learnt this language. It can regualrly spam emails to a destination email address using Outlook in the host PC. It should be used responsibly.

Spam Email Detection using Naive Bayes

This is an email spam classifier build using the Naive Bayes algorithm. I have used Sklearn CountVectorizer to convert email text into a number matrix and then use Sklearn MultinomialNB classifier to train our model

Classifies an e-mail as a regular e-mail or spam using machine learning and python.

An email spam bot written in Python, to send emails to specified addresses. Use with caution.

Email spam detection with machine learning . Spam mail, or junk mail, is a type of email that is sent to a massive number of users at one time, frequently containing cryptic messages, scams, or most dangerously, phishing content.

This is a simple email and SMS spam classifier built using Naive Bayes. The model achieves an accuracy of 98.2% and includes a user-friendly interface using Streamlit.

Mass Email Tool SPECIFICALLY FOR MALWARE!

Send emails bulk

A guide on how to spot phishing attempts and if they are malicious or not

Anti-Phishing Command-Line Email account scanner for API Service, PhishyScan. PhishyScan RapidAPI Link: https://bit.ly/PhishyScan

I selected a journal addressing email spam detection, crucial in today's digital era. The paper proposes a machine learning approach to detect spam, utilizing various algorithms.

Some bombers a made like Text/SMS and Email bombers.