spam-detection
There are 651 repositories under spam-detection topic.
safe-graph/graph-fraud-detection-papers
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
markets/invisible_captcha
🍯 Unobtrusive and flexible spam protection for Rails apps
altcha-org/altcha
GDPR compliant, self-hosted CAPTCHA alternative with PoW mechanism and advanced anti-spam filter.
SwiftOnSecurity/SwiftFilter
Exchange Transport rules to detect and enable response to phishing
airbnb/artificial-adversary
🗣️ Tool to generate adversarial text examples and test machine learning models against them
spamscanner/spamscanner
Spam Scanner is a Node.js anti-spam, email filtering, and phishing prevention tool and service. Built for @ladjs, @forwardemail, @cabinjs, @breejs, and @lassjs.
umputun/tg-spam
Anti-spam bot for Telegram and general-purpose anti-spam library and server
mosparo/mosparo
The modern spam protection. Protects your forms from spam by simply checking the content. Open source, Free to use, Accessible, and Self-Hosted.
pluginkollektiv/antispam-bee
„... another popular solution to fight spam is Antispam Bee“ – Matt Mullenweg, Q&A WordCamp Europe 2014
unkn0w/disposable-email-domain-list
List of disposable email domains. You can use it to block fake users on your newsletter.
carlospolop/MalwareWorld
System based on +500 blacklists and 5 external intelligences to detect internet potencially malicious hosts
safe-graph/UGFraud
An Unsupervised Graph-based Toolbox for Fraud Detection
safe-graph/DGFraud-TF2
A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
YingtongDou/Nash-Detect
Code for KDD 2020 paper Robust Spammer Detection by Nash Reinforcement Learning
groundcat/disposable-email-domain-list
A list of disposable email domains, cleaned and validated by scanning MX records.
carlostrub/sisyphus
Intelligent Junk Mail Handler
sublime-security/static-files
A collection of static files maintained by the Sublime team, primarily used for phishing defense.
jpmorganchase/llm-email-spam-detection
LLM for Email Spam Detection
Highfivery/zero-spam-for-wordpress
The WordPress Zero Spam plugin makes blocking spam a cinch without all the bloated options. Just install, activate, and say goodbye to spam.
TheHamkerCat/SpamProtectionRobot
Anti Spam/NSFW Telegram Bot Written In Python With Pyrogram.
maximelafarie/spamtoberfest
Fight against PR spammers
prosopo/captcha
Protect your website from bots with Prosopo Procaptcha
kdcllc/Bet.AspNetCore
Large Collection of Extensions and AspNetCore projects for ML.NET models and integration
andrewslotin/rummelsnuff
Mark and close spam PRs created for HacktoberFest
MoAbd/Spam-detection
Email Spam-detection is an ANN app with TensorFlow. The idea is simple - given an email you’ve never seen before, determine whether or not that email is Spam
hendurhance/laravel-spam-email
🥳🔐 Protect your users from using spam emails on signup/form/apis in your Laravel apps
TheHamkerCat/python-arq
Asynchronous Python Wrapper For A.R.Q API.
kawaiipantsu/spamassassin-rules
Custom SpamAssassin rules I and others have made and contributed with - To mitigate spam mails and phishing mails now also with cool Phishtank rules
metabrainz/spambrainz_ml
Models for metabrainz/spambrainz
omines/antispam-bundle
The Swiss Army Knife of battling form spam in your Symfony application!
Vatshayan/Spam-Detection-Project
Spam Detection Project for college students with PPT, Report, Code, Datasets and Research papers
BhaswatiRoy/Complete-Text-Analysis-Streamlit-Web-App
This is a Text Analysis App which can be used to find a detailed analysis of a particular text. This includes 5 main types of Analysis - Spam/Ham Detection, Sentiment Analysis, Stress Detection, Hate & Offensive Content Detection, Sarcasm Detection
dbsheta/spam-detection-using-deep-learning
Detecting Spam Emails using CNN
blakejakopovic/nostr-spam-detection
An experiment in building a machine learning model to label Nostr spam content for filtering and relay rejection.
emr4h/CyberMachine
Detects cyber threats to the end user with machine learning. This tool can do malware analysis of given exe file, spam analysis of given url and mail.
Wiskia/Spamer-Detect-System
对汽车之家论坛里的评论数据处理和分析，利用用户潜在行为数据得出用户行为特征，采用LDA主题模型得出用户评论的主题特征，采用Word2Vec词向量模型得出用户评论的文本内容特征，采用K-Means聚类得出水军文本类别，结合用户行为特征，最终实现了对网络水军的识别。