spam-emails
There are 16 repositories under spam-emails topic.
unkn0w/disposable-email-domain-list
List of disposable email domains. You can use it to block fake users on your newsletter.
banhao/AutoSpamEmailScan
AutoSpamEmailScan.ps1 is used to monitor a specific mailbox that enterprise users can forward suspicious spam emails to a specific mailbox.
FFMG/myoddweb.classifier
Microsoft Outlook automatic Spam Classifier, Classify emails as they arrive and move them to your own folders. Works on Office 356, Outlook 2016,2013 and 2010
kamikazechaser/disposable-email-cache
A self-hosted alternative to Kickbox's OpenAPI for checking if an email is disposable/temporary
seanpm2001/SpamBox_Email_Component
🥡️✉️📦️ The SpamBox is an open source separate implementation of the typical email spam folder.
tong-jin-nyu/filtering-Enron-spam-emails-using-supervised-learning
Don't let spams ruin your email-browsing mood! Everyone deserves a spam-free Internet surfing experience.
seanpm2001/DMail_SpamBox
🥡️📧️📦️ The DMail implementation of an Email Spam box.
INKWWW/Pattern-Recognition
pattern recognition projects
AvastrOficial/Email-Bomber
Esta página web y script en Python proporciona una herramienta para enviar correos electrónicos de manera automatizada utilizando SMTP (Protocolo Simple de Transferencia de Correo). no me hago responsable del mal uso que se le pueda dar.
MSc-AI/SpamEmail
This dataset is collected from here. I just used enron1 folder. It contains two folders of spam and ham. Each folder contains emails. I iterated to each text file of those folders and created a dataframe and written to a csv file. This can be helpful for others.
trevor229/spammail
A bunch of spam mails I have gotten since late 2017. Number of commits is a rough estimate of the amount of emails
aliabdallah7/spam-detection
Predict if the received message is spam or not.
Coder0202/Cyberus---measuring-risk
Cyberus is a tool that checks the generic and emotive legitimacy of a message and provides an estimate of the risk based on the dataset on which it was trained, as well as certain machine learning models for quantitative risk prediction.
hurricanejin/NLP
Natural Language Processing with Python
OMEGAMAX10/Spam-Classifier
Spam classifier using support vector machine (LIBSVM)
povstenko/analyze-spam-emails
📧 Practice Python Regex for Data Scientists using Fraudulent Email Corpus from Kaggle