Re: Ham marked as Spam with BAYES_99 - PhpMailer to old?

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Hello everybody,

thank you for the reply.

Stut schrieb:
Merlin Morgenstern wrote:
I am running a small community page with PHP. Members can select notification e-mails on comments etc.

Since today those e-mails - or basically all e-mails from the system -
get taged as spam with a score of 3.5 that totally results to BAYES_99.

This is most likely to be the content of the messages you're sending rather than the structure of the emails as created by PHPMailer.

I found that it almost any e-mail sent now from the site has that 3.5 spam score. Registration e-mails, Nitification e-mails etc.


How come? I am using PHP-Mailer 1.73. I am wondering if this will go away if I upgrade to 2.0. However I would rather not like to do that
as a .0 release makes me a bit worried.

I doubt it but stranger things have happened. However this has nothing to do with PHP itself, and would get a better response from a PHPMailer-specific list (I assume there is one).

You are right. I was just wondering if somebody else here has experienced it today in their apps.

Does anybody have an idea on how to eleminate that BAYES_99 score? Those mails are absolutly no spam. They contain a link to the commment page but that should not be the problem. At least it was not a problem for the last years.

AFAIK BAYES_99 means it thinks there is a 99% chance of it being spam, that's very high for something you're saying is an operational email. Is that link the only thing they contain? If so try adding more text.


99%? How can they be so wrong? There must be a serious reason for that.

The message looks like this:

---
Hello xy,

You are receiving this email because you are watching
the topic, "Topicname " at Community

This topic has received a reply since your last visit.
You can use the following link to view the replies made.

http://link

If you no longer wish to watch this topic you can either
click the "Stop watching this topic link" found at the
bottom of the topic above (after you login!), or by
clicking the following link:

http://www.link
---

STrange, isn't it?

It's also worth noting that this score comes from a system that's capable of learning: http://en.wikipedia.org/wiki/Bayesian_spam_filtering

-Stut


`Thanks, will do.

Best regards,

Merlin

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