Syntax checker for mail sieves.
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Updated
Nov 8, 2024 - C++
Syntax checker for mail sieves.
This tool allows you to clean a list of email addresses by removing unwanted domains and suffixes. It provides a user-friendly interface for specifying the domains and suffixes to keep. The cleaned email addresses are then saved to an output file.
Email filters for Proton Mail and other providers accepting SIEVE filters. These filters are to block/discard known spam domains.
This tool designed to remove duplicate email addresses from a large email list file. Duplicate emails often clutter your mailing list and can lead to inefficiencies when sending emails. This tool helps you clean up your email list by eliminating duplicate entries.
Utility script for rspamd spam and ham training.
The Email List Filtering Program is a C language program designed to validate and filter a list of email addresses. It ensures that each email address in the provided text file is valid and exists. The program helps to identify and remove fake or incorrect email addresses from the list, ensuring that the remaining email addresses are valid and reac
Pending rename. Automatic sorting, filtering, and condensing of emails across an arbitrary number of remote servers
SpamShield is a Flask-based web application that employs machine learning to swiftly identify and flag spam content in emails and text messages, offering users real-time protection against unwanted solicitations. With an intuitive interface and privacy-conscious design, SpamShield ensures efficient spam detection while safeguarding user privacy
This project focuses on building a classifier to distinguish between spam and ham emails using Logistic Regression. Key steps include data preprocessing, feature extraction with TF-IDF vectorization, and model evaluation with accuracy metrics and a confusion matrix.
This repository contains a comprehensive list of 117.981 free and disposable email providers. It's a valuable resource for developers, researchers, and security professionals who need to filter or analyze email data.
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