Anti-Spam Feedback

To improve the spam filters we need a feedback by the users.

  • False positives are legitimate e-mail messages that are mistakenly blocked or tagged as spam by the anti-spam filter .
  • On the other hand there are e-mails (false negatives) that pass the anti-spam filters and arrives on the users' inbox, but they are spam.

Our anti-spam is the one by SPIN. It assigns to every incoming mail a spam score value.

Only e-mails with very-very-high spam score are blocked.
The others are delivered to the final user.

  • See at the end of this page about some useful answers to questions about spam.



When you find a:

  • false positive –mail tagged as [SPAM] or [Maybe-SPAM]which is NOT a real spam

or

  • a spam mail without [Maybe-SPAM] in the subject,

please forward it, in attachment, to spam@sissa.it specifying in the subject line if it is: a FALSE POSITIVE or a SPAM.

The SPIN operators take the notifications and update the filters.

The attachment is needed because it contains ALL the information about the real sender and the e-mail delivery.
You can find a header example on the page: typical header.
You find below some instructions to correctly send us the attachment.

Using Thunderbird to send us the e-mail in attachment

Open the message and then select the menu Message –> Forward As –> Attachment Now you can send your e-mail.


What are false positives?
False positives are legitimate e-mail messages that are mistakenly rejected or filtered by a spam filter.


Will I get false positive?
Yes: for any false positives the sender will receive a bounce message indicating the email did not go through. Your notification to spam@sissa.it of the false positive allows us to train the Bayesian filters and further reduce the occurrence of false positives.


What is Spam scoring, and the Bayesian Analysis?

  • Spam scoring is the rules based system (about 4000 rules) that looks for characteristics in the email. The Spam scores are used to determine what to do with the email. They do not contribute directly to the future analysis. The rules are updated via the Updates Subscription that we maintain on Barracuda.
  • Bayesian analysis, also contributes to the Spam scoring. This is done using your notifications, so that we can flag some messages as either SPAM, or NOT SPAM in the message log.


How Can I find out if an email that I am missing was blocked by Barracuda?
You find in the Junk folder the e-mails stopped by Barracuda because of spam. You receive an e-mail notification concerning e-mails stopped because of viruses. In case you have more questions you can contact the ITCS Helpdesk and we will check the message log for you.

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