For whatever reason, solicitations from marketers for various web
development services are easily slipping through my defenses. I figured
bayes filtering would eventually do the job but after a reporting them
for many days now, I'm still getting like 3 to half dozen a day. Here's
one example: https://paste.debian.net/1194735/
The report for this email:
Content analysis details: (-1.0 points, 5.0 required)
pts rule name description
---- ----------------------
--------------------------------------------------
-0.0 RCVD_IN_DNSWL_NONE RBL: Sender listed at
https://www.dnswl.org/,
no trust
[209.85.210.44 listed in list.dnswl.org]
-1.0 BAYES_00 BODY: Bayes spam probability is 0 to 1%
[score: 0.0000]
-0.0 SPF_PASS SPF: sender matches SPF record
0.2 FREEMAIL_ENVFROM_END_DIGIT Envelope-from freemail username ends
in digit
[margaretkelly866[at]gmail.com]
0.0 FREEMAIL_FROM Sender email is commonly abused enduser mail
provider
[margaretkelly866[at]gmail.com]
0.0 SPF_HELO_NONE SPF: HELO does not publish an SPF Record
-0.0 RCVD_IN_MSPIKE_H3 RBL: Good reputation (+3)
[209.85.210.44 listed in wl.mailspike.net]
0.0 HTML_MESSAGE BODY: HTML included in message
-0.1 DKIM_VALID_EF Message has a valid DKIM or DK signature
from
envelope-from domain
0.1 DKIM_SIGNED Message has a DKIM or DK signature, not
necessarily
valid
-0.1 DKIM_VALID_AU Message has a valid DKIM or DK signature
from
author\'s domain
-0.1 DKIM_VALID Message has at least one valid DKIM or DK
signature
-0.0 RCVD_IN_MSPIKE_WL Mailspike good senders
This email is bit of an outlier as most of these emails will get flagged
with bayes_99 and bayes_999 but this one actually gives it bayes_00.
My bayes filter has been trained with about 2000 examples of spam and
ham.
Not sure what to do at this point. I'm thinking about scoring up emails
if the mention stuff like "SEO", "web design" etc. but I'm not sure if
this is the best approach. Feels like a thumb in the dike approach.
development services are easily slipping through my defenses. I figured
bayes filtering would eventually do the job but after a reporting them
for many days now, I'm still getting like 3 to half dozen a day. Here's
one example: https://paste.debian.net/1194735/
The report for this email:
Content analysis details: (-1.0 points, 5.0 required)
pts rule name description
---- ----------------------
--------------------------------------------------
-0.0 RCVD_IN_DNSWL_NONE RBL: Sender listed at
https://www.dnswl.org/,
no trust
[209.85.210.44 listed in list.dnswl.org]
-1.0 BAYES_00 BODY: Bayes spam probability is 0 to 1%
[score: 0.0000]
-0.0 SPF_PASS SPF: sender matches SPF record
0.2 FREEMAIL_ENVFROM_END_DIGIT Envelope-from freemail username ends
in digit
[margaretkelly866[at]gmail.com]
0.0 FREEMAIL_FROM Sender email is commonly abused enduser mail
provider
[margaretkelly866[at]gmail.com]
0.0 SPF_HELO_NONE SPF: HELO does not publish an SPF Record
-0.0 RCVD_IN_MSPIKE_H3 RBL: Good reputation (+3)
[209.85.210.44 listed in wl.mailspike.net]
0.0 HTML_MESSAGE BODY: HTML included in message
-0.1 DKIM_VALID_EF Message has a valid DKIM or DK signature
from
envelope-from domain
0.1 DKIM_SIGNED Message has a DKIM or DK signature, not
necessarily
valid
-0.1 DKIM_VALID_AU Message has a valid DKIM or DK signature
from
author\'s domain
-0.1 DKIM_VALID Message has at least one valid DKIM or DK
signature
-0.0 RCVD_IN_MSPIKE_WL Mailspike good senders
This email is bit of an outlier as most of these emails will get flagged
with bayes_99 and bayes_999 but this one actually gives it bayes_00.
My bayes filter has been trained with about 2000 examples of spam and
ham.
Not sure what to do at this point. I'm thinking about scoring up emails
if the mention stuff like "SEO", "web design" etc. but I'm not sure if
this is the best approach. Feels like a thumb in the dike approach.