![]() ![]() ![]() However, since this isn’t always bad, it only adds a 0.001 HTML_MESSAGE – The email does contain an HTML message, which can contain malicious items.DKIM_VALID_AU – Emails contains a validated DKIM signature for the author’s domain, essentially meaning the email is coming from where it says it is.DKIM_VALID – Email contains a validated DKIM signature.These aren’t always generally valid, so it adds only 0.1 DKIM_SIGNED – Email contains a DKIM Signature.BAYES_00 – Using Bayesian Algorithms ( see: Naive Bayes Filtering), the system has identified this item as having a low chance of being spam.This will show both positive and negative tests to give you a general idea of how the score was constructed.Īs you notice in the “Spam-Status” section, we have both positive and negative tests attributed to this email, and those are as follows: Spam-Status: This section details the flag, score, and tests that were “passed” on this email.Spam-Flag: Yes/No if the email was flagged as Spam.Spam-Score: The total Score SpamAssassin has given this email.The following is an example of a SpamAssassin header: For ServiceNow, if any email ends evaluation with a score greater than 6, it is instantly moved to the spam folders of your ServiceNow instance. Each of these tests attribute either a positive or negative score. So how does it work? By default, any email that enters ServiceNow is evaluated based on a preset list of “tests” which can change daily as they are added/removed by developers. ServiceNow has inherent protection against spam and junk email via an implementation of open source software called “Spam Assassin.” Unfortunately, documentation for some aspects of Spam Assassin can be difficult to read or find, especially since they completely removed their wiki pages in July of 2019 and are currently transitioning to a new website.
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