Taking care of one of my regular Monday morning routines. Doing a quick scan of my email Junk Mail folders and trying to figure out if there’s anything in there important. A very rarely get false positives in my spam filters, but every now and then it does happen so I’ve got to scan quickly.

As I’m scanning I usually do a couple of things to make legitimate messages pop-out a little bit from the rest of the junk in the folders. I’ll sort by name first and quickly delete patterns of emails, then switch to sorting by subject and do …read more

I’m hitting a little bit of a theme with my posts. Can you tell it’s that time of the week when I go through my spam filters and check for false positives? That’s what I’m doing and I’m reminded of something that to me is extremely easy to identify. I’m not sure why messages fitting this scenario aren’t immediately flagged as spam and never seen by the user.

I don’t know how many times I’ve gone into my email and noticed messages with a weird date and time. In my opinion if an email is sent to me with a …read more

I manage a number of email addresses on a daily basis. Some of the servers have great spam checking filters while others get legitimate emails caught in the filters by mistake on a regular basis. Regardless of the filters I setup or whitelist and blacklists I edit and update, I find myself scanning my junk mail folder for some services at least weekly.

I will regularly sort my Junk Mail folders by "Subject" which for me makes it very easy to scan through subject lines that are usually very similar and the only difference is the spoofed email address they’ve …read more

I’m not sure what gave me the idea to do this but it was interesting the way it turned out. I’ve been tweaking our spam filtering settings for our domains for work and was a bit in awe of the collection of blacklisted words we had collected for our spam traps.

My first thought was to share my list of blocked words with everyone, but I wasn’t sure the best way to share it, so I have the way I’ve embedded it below as code will allow you to hopefully cut and paste it into your own filters. This will let …read more

This post isn’t directly related to Office Outlook 2007, but more spam control measures in general.
I’ve been working with an webhosting provider for a client and tweaking the spam and custom content filtering controls. I’ve got things setup and it’s all working pretty well. My biggest challenge right now is catching and identifying e-mail messages that initially look like a normal text message, but are a single large image.
Does anyone know of a way to identify messages that are constructed like this without eliminating all HTML email entirely?