Tag Archives: Spam Reader

SpamBully Grows Up

A second version SpamBully, a Bayesian filter based spam fighter, has been released.

SpamBully 2.0 integrates into Outlook and Outlook Express and introduces some new features:

  • Email blocked based on the language of the email or the country of origin;
  • A link analyzer looks for spam by following links in an email and analyzing the web pages. Realtime Blackhole List integration continually checks for domains that are responsible for sending spam and automatically filters them from the Inbox;
  • Users can choose words and phrases they wish to allow or block from their Inbox;
  • Customizable languages, including English, Spanish, Italian, German, French, Russian, and Chinese.

These sound like good features. It’s a shame the product doesn’t work outside the Outlook world, but for those within it, it sounds like it’s worth a try. SpamBully 2.0 is free to try for 14 days. Single user licenses cost $30.

News: The Spam Filter That Might Be

 Yet another spam option: Starfield Technologies, Inc., sister company of domain registrar GoDaddy.com, has announced Spam Xploder which uses Bayesian filtering technology to intercept spam at the server level before reaching a user’s mailbox. Spam Xploder works with several e-mail programs, including Microsoft Outlook/Outlook Express. Folk with Hotmail, Yahoo! Mail, or any IMAP- or POP3-based account can retrieve and filter their mail via Starfield’s Web-Based Email or the Spam Xploder Management Client.
 
I for one was not impressed: I couldn’t access their website. Unless it’s a Net quirk, I’d counsel folk that they make sure their website is up and running before they release a product.
 

Software: Spam Bully out of beta

 Spam Bully, an email spam filter that integrates into Outlook and Outlook Express, is now out of beta and officially ready to go.
 
 
I haven’t given Spam Bully a test run, but it uses Bayesian Filters, an approach I wrote about a few weeks back, so in theory should work well.
 
From their press release: “Spam Bully’s self-learning email filter uses a probability based mathematical theory developed by 18th century British clergyman Thomas Bayes. Bayes’ theorem is based on the number of times an event has or has not occurred and the likelihood it will occur in the future. Using Bayes’ theories in conjunction with email filtration allows Spam Bully to determine the probability that an email is “spam” based on the words it contains. Spam Bully’s Bayesian filter was created from over 35,000 spam messages, allowing it to intelligently learn which words spammers are likely to use. Spam Bully will adapt itself to a user’s own email preferences and over time continually adjusts to new types of spam.”
 
Spam Bully costs $30.