Documentation

Difference between revisions of "Spam"

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At ULYSSIS we try to prevent as much spam as possible from ending up in our users mailboxes or being passed through forwarders. However, as we offer email to many organisations that post their contact information online in several languages, we attract large amount of spam, of which some may be in other languages than English. Because of this, regular spam filters may miss out on some of the spam.  
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At ULYSSIS we try to prevent as much spam as possible from ending up in our users mailboxes or being passed through forwarders. However, as we offer email to many organisations that post information in several languages, we also attract a lot of non-English spam. Because of this, regular spam filters may miss out on some of the spam.  
  
To further prevent spam from being delivered, we've not only enabled extra features to look for bulk emails, dubious cryptocurrency hashes and unexpected languages, but we've also written many custom spam tests based on common patterns within spam our users receive. We depend on gathering samples of spam and comparing them to regular email to decide what kind of custom test may be useful and what score we should give it. We therefore encourage users and spammers to email us their spam on [mailto:spam-analysis@ulyssis.org spam-analysis@ulyssis.org]. Keep in mind that we can achieve much better results if you supply us with all the headers when you forward your spam. You can refer to [https://www.auckland.ac.nz/en/students/safe-computing/recognising-online-threats/forward-email-headers.html this guide] by the University of Auckland if you don't know how to do this, but of course use [mailto:spam-analysis@ulyssis.org spam-analysis@ulyssis.org].
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To further prevent spam from being delivered, we've not only enabled extra features to look for bulk emails, dubious cryptocurrency hashes and unexpected languages, but we've also written many custom spam tests based on common patterns within spam our users receive. We depend on gathering samples of spam and comparing them to regular email to decide what kind of custom test may be useful and what score we should give it. We therefore encourage users and spammers to email us their spam on [mailto:spam-analysis@ulyssis.org spam-analysis@ulyssis.org]. Keep in mind that we can achieve much better results if you supply us with all the headers when you forward your spam. You can refer to [https://www.auckland.ac.nz/en/students/safe-computing/recognising-online-threats/forward-email-headers.html this guide] by the University of Auckland if you don't know how to do this.

Revision as of 00:21, 17 April 2020

At ULYSSIS we try to prevent as much spam as possible from ending up in our users mailboxes or being passed through forwarders. However, as we offer email to many organisations that post information in several languages, we also attract a lot of non-English spam. Because of this, regular spam filters may miss out on some of the spam.

To further prevent spam from being delivered, we've not only enabled extra features to look for bulk emails, dubious cryptocurrency hashes and unexpected languages, but we've also written many custom spam tests based on common patterns within spam our users receive. We depend on gathering samples of spam and comparing them to regular email to decide what kind of custom test may be useful and what score we should give it. We therefore encourage users and spammers to email us their spam on spam-analysis@ulyssis.org. Keep in mind that we can achieve much better results if you supply us with all the headers when you forward your spam. You can refer to this guide by the University of Auckland if you don't know how to do this.