Elys?
Moderators: rickenbrother, ajish4
Email irregularities are the price we pay for the runaway "spam" epidemic. Mail servers all around the world get placed automatically on someone's anti-spam "real time blackhole list" for days at a time, or a statistical anti-spam filter just erases an inbound legit email message to you because of the confluence of several chance factors that produce a "false positive match" as spam.
People who use the free anonymous email services are the most at-risk of not getting all their email (gmail, yahoo, hotmail, etc.).
People who use the free anonymous email services are the most at-risk of not getting all their email (gmail, yahoo, hotmail, etc.).
Do unto others as you would have them do unto you, and sit in with the band whenever you can, to keep your chops up!
Elys, I sent you an email about how to get $500 free in your casino account and cheap prescription drugs and herbal manhood enhancers. I don't think it got through though. It was in all caps and everything.
(what other spam factors did I miss?)
(what other spam factors did I miss?)
"I never set out to be weird. It was always other people who called me weird." - F. Zappa
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just_bassics
- Intermediate Member
- Posts: 1244
- Joined: Tue Aug 08, 2006 8:12 am
So it seems that I need to fine-tune the anti-spam filters here by simply gathering up all the email addresses from which email could have been sent, and enter them all into the anti-spam filter's "whitelist". This list tells the anti-spam engine to pass any email from those addresses directly through without first examining them to see if they are spam.
Jo, there are too many factors to include here on how it matches, but Jake is hitting a lot of them. A pattern-match looks for text strings that match commonly-found spam messages headers and bodies. Then, a Bayesian filter examines 15 or so words at random and scores how often those words appear in spam. Then, a comparison is done between the email's source IP address and a RBL list maintained at several third-party sites to see if the sending IP address corresponds to a mail server that has been reported to be sending out lots of spam recently.
A few other things are checked, such as does the sending email address exist, does it fail a SPF (sender policy framework) DNS check, etc.
Then and only then does it get delivered into a user's inbox to be downloaded next time they check their email.
Jo, there are too many factors to include here on how it matches, but Jake is hitting a lot of them. A pattern-match looks for text strings that match commonly-found spam messages headers and bodies. Then, a Bayesian filter examines 15 or so words at random and scores how often those words appear in spam. Then, a comparison is done between the email's source IP address and a RBL list maintained at several third-party sites to see if the sending IP address corresponds to a mail server that has been reported to be sending out lots of spam recently.
A few other things are checked, such as does the sending email address exist, does it fail a SPF (sender policy framework) DNS check, etc.
Then and only then does it get delivered into a user's inbox to be downloaded next time they check their email.
Do unto others as you would have them do unto you, and sit in with the band whenever you can, to keep your chops up!
Sheena, good news!! I DID get all the email messages that you didn't send
And Dave, everything is all set with Darren, and I will be coming up to Pennsylvania to see you in about five weeks or so to pick it up!
And Dave, everything is all set with Darren, and I will be coming up to Pennsylvania to see you in about five weeks or so to pick it up!
Do unto others as you would have them do unto you, and sit in with the band whenever you can, to keep your chops up!
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jwr2
- sloop_john_b
- Rick-a-holic
- Posts: 13843
- Joined: Tue Jan 25, 2005 6:00 am
