A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

🍯 Unobtrusive and flexible spam protection for Rails apps

GDPR compliant, self-hosted CAPTCHA alternative with PoW mechanism and advanced anti-spam filter.

Exchange Transport rules to detect and enable response to phishing

🗣️ Tool to generate adversarial text examples and test machine learning models against them

Spam Scanner is a Node.js anti-spam, email filtering, and phishing prevention tool and service. Built for @ladjs, @forwardemail, @cabinjs, @breejs, and @lassjs.

Anti-Spam bot for Telegram and anti-spam library

The modern spam protection. Protects your forms from spam by simply checking the content. Open source, Free to use, Accessible, and Self-Hosted.

„... another popular solution to fight spam is Antispam Bee“ – Matt Mullenweg, Q&A WordCamp Europe 2014

System based on +500 blacklists and 5 external intelligences to detect internet potencially malicious hosts

List of disposable email domains. You can use it to block fake users on your newsletter.

An Unsupervised Graph-based Toolbox for Fraud Detection

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

Code for KDD 2020 paper Robust Spammer Detection by Nash Reinforcement Learning

A list of disposable email domains, cleaned and validated by scanning MX records.

Intelligent Junk Mail Handler

A collection of static files maintained by the Sublime team, primarily used for phishing defense.

LLM for Email Spam Detection

The WordPress Zero Spam plugin makes blocking spam a cinch without all the bloated options. Just install, activate, and say goodbye to spam.

Anti Spam/NSFW Telegram Bot Written In Python With Pyrogram.