Changes at Spamcop

Earlier this week some ESPs started asking if other ESPs have seen an uptick in Spamcop listings. The overwhelming answer (9 of 11 ESP representatives) said yes. I’ve also had clients start to ask me about Spamcop listings. All in all, there seems to be some changes at Spamcop that means more senders are showing up on the Spamcop radar.
Luckily, Spamcop provides us some insight into their data processing. If you look at the current monthly volume graph, we can see some very interesting changes in data.

Spamcop volume graph
Volume of received mail went way up in late September.
We can see, before the volume spike, that the number of reports sent tracked closely to the spam submitted. The number of reports stay reasonably consistent through the volume spike. I think it’s a reasonable interpretation that SpamCop has started receiving some new data sources in the last few weeks. I suspect these new data sources are the ones driving the new listings.
There are people who attribute the increase in listings to new spamtraps coming online. The data does seem to suggest that something brought more data to Spamcop, and a new trap feed is highly likely.
This is just another example of the continual adaptation of filters. Filters are going to try and catch as much spam mail as possible. And part of that is bringing on new spamtraps. Spamhaus does it, Spamcop does it, commercial spam filtering companies do it. M3AAWG has even published a best practices document on creating spamtraps (.pdf download).
If you’re seeing an increase in listings on the Spamcop blocklist, you’re not alone. If these really are spamtraps, then you should look at your bounce handling process and see why these addresses weren’t removed in the past.

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Spamhaus Speaks

There’s been a lot of discussion about Spamhaus, spam traps, and blocking. Today, Spamhaus rep Denny Watson posted on the Spamhaus blog about some of the recent large retailer listings. He provides us with some very useful information about how Spamhaus works, and gives 3 case studies of recent listings specifically for transactional messages to traps.
The whole thing is well worth a read, and I strongly encourage you to check out the whole thing.
There are a couple things mentioned in the blog that I think deserve some special attention, though.
Not all spam traps actually accept mail. In fact, in all of the 3 case studies, mail was rejected during the SMTP transaction. This did not stop the senders from continuing to attempt to mail to that address, though. I’ve heard over and over again from senders that the “problem” is that spamtrap addresses actually accept mail. If they would just bounce the messages then there would be no problem. This is clearly untrue when we actually look at the data. All of the companies mentioned are large brick and mortar retailers in the Fortune 200. These are not small or dumb outfits. Still, they have massive problems in their mail programs that mean they continue to send to addresses that bounce and have always bounced.
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Email filters are essential to protect us from scammers. Sometimes I forget this, and then I read about a grandmother getting swindled by a Nigerian scammer and ending up dead.
There are real consequences to poor filtering and there is real crime facilitated by email. It’s easy to forget this as we deal with the email that gets caught in filters when they shouldn’t.
Filters are one of the first lines of defense against online crime.
Not only does filtering stop crime, but they also keep email working. An unfiltered mail stream is an ugly, unreadable, unworkable mess.

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Q: How many email addresses are affected?

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