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Before using a spam scanner to investigate and troubleshoot your email templates, there are some quick wins for lowering your score that can be achieved by following some of the recommendations listed in this article.
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For a detailed description of these fields, refer to the docs. Typically, the result in the is_spam field should be enough to give you confidence that your email will not be marked as spam. Note that spamscanner does not assign a numerical value but instead opts to return a boolean.
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Scout APM
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
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SpamAssassin
Read-only mirror of Apache SpamAssassin. Submit patches to https://bz.apache.org/SpamAssassin/. Do not send pull requests
To detect whether incoming emails are malicious, mail servers also use spam scanners, such as Apache's popular SpamAssasin. The internal workings of these spam scanners can be somewhat complicated (involving Naive Bayes Classifiers on trained, large datasets, for the curious), but the primary takeaway is that these classification systems typically assign a numerical point value to an incoming email to determine the validity of the message. The higher the score, the more likely that the email is spam. For reference, the ISP Optimum states the following regarding their spam filtering:
