![]() If an email passes a certain threshold, it’s regarded as spam. Therefore, when passing your transactional emails through the SpamAssassin filter, you should aim for a lower rather than a higher score. ![]() Perhaps counterintuitively, a higher score signifies a higher probability that an email is spam. It then returns an aggregated SpamAssassin score. The SpamAssassin filter runs its tests on each incoming email and adds up the values for the rules that are triggered. The SpamAssassin scoreĮach SpamAssassin rule is associated with a value that can be either negative or positive. Many email providers rely on SpamAssassin scores to classify incoming email as spam or the opposite, ‘ham’. Users can add and adapt rules, or simply resort to SpamAssassin’s spam classifier and train it with their own data. These include scanning an email’s body and header, and checking a sender’s IP against several different block and allow lists. The filter employs a range of different tests. It was initially released in 2001 with the aim of providing a robust and customisable filter for detecting ‘email spam’, the Monty Python-inspired term for the practice of sending out unsolicited emails en masse. SpamAssassin (officially, ‘Apache SpamAssassin’) is an open-source project developed and operated by the Apache Software Foundation. Inspecting and improving your SpamAssassin results will help you write better emails that your recipients will be happy to receive. In this article, we’ll look at how a SpamAssassin score is calculated and what you can do it improve it. The filter assigns scores to emails to separate the genuine from the unwanted. It uses comprehensive spam-fighting methods to keep inboxes clear of unwanted email. SpamAssassin (SA) is a well-established email filtering system designed to live up to its name.
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