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Fast, secure and reliable email. Stay in touch and enjoy the ride with AOL Mail. Get user-friendly email with AOL Mail. Sign up now for world-class spam protection, easy inbox management, and an ...
Spam is irrelevant, inappropriate, or malicious email. Our filters try to keep spam out of your Inbox, but they don't catch everything. Flag an email as spam to help train the filter. 1. Tap an email to open it or Edit and select multiple emails. 2. Tap the More icon. 3. Tap Mark as spam.
While 99.9% of spam, malware and phishing emails are being caught by our spam filters, occasionally some can slip through. When this happens, it's very important to mark the email as spam, then our system will learn that messages from a specific sender aren't good and helps us make AOL Mail even better at recognizing future spam emails.
Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!
Take control of your inbox by keeping your spam list up to date. 1. Click the Block Senders tab. 2. In the box under "Block mail from addresses I specify," enter the email address you want blocked. 3. Click the + icon 4. Alternatively, to remove the address, click the X icon next to the address you want removed.
Apache SpamAssassin is a computer program used for e-mail spam filtering. It uses a variety of spam-detection techniques, including DNS and fuzzy checksum techniques, Bayesian filtering, external programs, blacklists and online databases. It is released under the Apache License 2.0 and is a part of the Apache Foundation since 2004.
The Anti-Spam SMTP Proxy (ASSP) is an open-source, Perl based, platform-independent transparent SMTP proxy server. Features. Some ASSP's features are: Hidden Markov Model spam filtering; Bayesian spam filtering; whitelisting; Penalty Box (PB) trapping; DNSBL/RBL (Realtime Blackhole Listing) URIBL (Uniform Resource Identifier Black Listing)
Bogofilter. Bogofilter is a mail filter that classifies e-mail as spam or ham (non-spam) by a statistical analysis of the message's header and content (body). [1] The program is able to learn from the user's classifications and corrections. It was originally written by Eric S. Raymond after he read Paul Graham 's article "A Plan for Spam" and ...
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