Spam Scanner is a drop-in replacement and the best alternative to SpamAssassin, rspamd, SpamTitan, and more. Spam Scanner includes modern, essential, and performant features that to help reduce spam, phishing, and executable attacks.
spamassassin anti-spam spam-prevention spam-protection rspamd spam-filtering spam-classifier spam-detection enron spam-classification spam-filter rspamThis is a example how to use Naive Bayes to classify SPAM messages, you can use it for other purposes... Optimizing with inline ASM (I think do it by using SiMD)...
naive bayesian-inference machine-learning classification-algorithm spam-detectionThis repo is primarily maintained by Devin Soni and Philbert Lin. Note that this project is under active development. If you encounter bugs, please report them in the issues tab.
machine-learning classification python3 python2 text text-mining adversarial-examples spam spam-filtering spam-detection spam-classification text-classification text-analysis data-science data-mining text-processing black-box-benchmarking black-box-attacks metricsExchange Transport rules using text matching and Regular Expressions to detect and enable response to basic phishing. Designed to augment EOP in Office 365. The reason that spam filters do not integrate these detections, which they easily could, is because they REQUIRE TUNING. Every company is different and has different lexicon and business practices.
email spam-filtering spam-detection phishingThe BlogSpam.net service presents an API which allows incoming blog/forum comments to be tested for SPAM in real-time. This repository contains an implementation of the API in golang, which allows you to run your own instance of the service, this superceeds the previous implementation in node.js.
blogspam spam-filtering spam-protection spam-detection spamAs we all know too well, many mails we receive are undesired for various reasons. Sometimes, we just do not want to be part of a scam, sometimes we really prefer no to have this latest joke mail sent by our beloved friends -- even though we are happy to exchange serious messages with them. Sisyphus analyzes each mail in the inbox and the junk folder and uses its subject and text to improve the learning algorithm. Whenever a new mail arrives in the Maildir/new directory, Sisyphus classifies this mail based on its content. Junk mails are then moved automatically to the Maildir/.Junk directory, while good mails are left untouched. See the following blog post on a rather non-technical explanation.
golang-application spam-filtering spam maildir junkmail spam-protection spam-detection spam-analyzer junk mailA GitHub action to mark and close spam PRs created to get a free HacktoberFest T-shirt. The action needs an access token to manage PRs. To provide an access token, add access_token: ${{ secrets.GITHUB_TOKEN }} to the with: section of your workflow step (see example below).
actions spam-filtering hacktoberfest spam-detection
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