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

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

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

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!

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.

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

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.

A repository containing a list of email addresses identified as sources of spam or other types of fraud.

Spam Email Detection using Naive Bayes

Send emails bulk

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.

A command-line tool for analyzing the vulnerability of domain names to email spoofing attacks and suggesting changes for mitigation.

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

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