Category Archives: spam

Is January’s medical spam caused by botnets?

Remember those three spamming medical organizations PSBL saw and the spike from CSHS that SpamRankings.net found in CBL data? Digging into the underlying data, and graphing them all on the same chart, we see this:

Even though the three three-digit-spamming medicos spam oddly coherently, we don’t find any botnets for them. This may be because most of that spam was seen by PSBL, and our botnet assignments come from CBL. CBL didn’t see any spam from those ASNs, so it didn’t have anything to assign for botnets. Maybe they’re infested by the same botnet; maybe not; can’t tell.

But it was CBL that saw that big spam spike for AS 22328 CSHS. And CBL did assign a botnet to that: Lethic. For all but two days of CSHS spam shown, CBL assigned Lethic to the total amount of spam from CSHS for that day. That may be because all that CSHS spam is coming from a single computer.

Of course, CBL’s botnet assignments are not perfect, but infosec professionals tell me CBL is about as good as it gets for that, so there’s a good chance this botnet assignment is correct.

The good news is that all of the trio of three-digit spamming medicos decreased their spam and even went to zero during the period shown.

And CSHS spam peaked at the end of January and started back down in February.

Pretty soon there may be once again little or no spam from medical organizations to rank.

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CSHS is back in January 2012 SpamRankings.net

In SpamRankings.net, January PSBL data reveals three three-digit U.S. medical spamming organizations, plus CSHS, and CBL data confirms a big spam spike from CSHS.

The three with more than 100 spam messages for the month were

each accounting for about a third of the total spam volume seen from medical organizations by CBL in January 2012.

Cedars-Sinai Health Systems‘ AS 22328 CSHS came in only seventh in PSBL data, with only 10 spam messages. But in CBL data, CSHS came in first, with 2,873 messages. That’s not a lot, compared to, for example, Comcast, which CBL saw spamming more than two million messages during the same month. But what patients would prefer to see from medical organizations is zero spam messages, since spam is a sneeze for infosec disease, and who wants to think their hospital’s information security or radiology computers might be infected?

Chances are CSHS will notice and clean it up pretty quick. Those other three medical orgs may have some sort of more chronic problem….

-jsq

Global Crossing spam spike, November 2011

In the November SpamRankings.net from PSBL data, Global Crossing’s AS 3549 GBLX spiked on 17 November and a few days before, pushing it into fifth place.

Did this spam spike come from any particular botnet?


AS 3549 GBLX PSBL spam volume left axis, CBL botnet volume right axis
It looks like GBLX is infested with many botnets, but the spike on 17 Nov roughly corresponds with a cutwail botnet volume peak on 16 Nov. Given that the ASN volume spike is from PSBL data and the botnet volume peak is from CBL data, a day off is plausible, due to different collection and delivery times.

There’s also a peak for grum (green line near the bottom) on 17 Nov, and peaks for festi and n/a on 18 Nov, where n/a is CBL’s marker for spam they detected without having to look as far as determining which botnet they think sent it.

So the spam spike could be from cutwail. Or it could be because of a coincidence of several botnet peaks. Or it could be some other botnet that happened to do a spam campaign on that day. Given that the PSBL GBLX peak builds up on 16 Nov, I’d guess it came mostly from cutwail.

We could try to resolve this question by digging into the specific addresses the GBLX spam PSBL saw came from and see if they match addresses CBL assigned to botnets.

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Comcast pushed out of first, yet wins November U.S. SpamRankings.net

How can an ISP both lose and win in top 10 rankings? By placing more than once!

Comcast got pushed out of first place by AS 46475 LIMESTONENETWORKS and AS 21788 NOC in the November 2011 Monthly U.S. SpamRankings.net from CBL volume. AS 20214 COMCAST-20214 did spam a third less (1,503,173 spam messages) than last month (2,193,898), but it was the spontaneous spam spewing of the two top place newcomers that pushed it down to third place.

Yet Comcast really won the month. It took 4 of the top 10 (places 3, 6, 7, and 10), which is twice as many as last time, and accounted for 30.29% of top 10 spam spewed, up from 23.9% last time. That percentage beats either of the top two this time.

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Cleveland Clinic spewing spam again

Here’s why to look at more than one spam data source: according to the PSBL volume data for November 2011, Cleveland Clinic’s AS 22093 CCF-NETWORK spewed more than a hundred spam messages a day on multiple days, while CBL volume data showed Cleveland Clinic with only 42 spam messages for the entire month. Apparently PSBL’s spamtraps happened to be in the path of this CCF spam.

Now a couple of hundred spam messages a day isn’t much by world organization standards, but compared to what we’d all like to see from medical organizations (zero), it’s a lot.

Also compared to the other medical institutions in the same rankings from the same data, the pie chart looks like Pac Man and the bar graph looks like a hockey stick.

Maybe Cleveland Clinic didn’t get the memo after all.

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China does not lead Country Rankings from SpamRankings.net

An area where China does not lead the world: Country rankings by SpamRankings.net. China is only #13, but Brazil, Russia, and India (the other three BRICs) are in the top five countries by total spam messages for October 2011. U.S. is #10.

Vietnam came from behind a few months ago to place second for October.

Brazil had slumped as low as #6 in July, but has pulled back up into the leading pack.

After the top five, it’s a long-tail distribution indeed. Continue reading →

What is IPWORLDNET and why is it spamming from Canada?

In the October SpamRankings.net for Canada (from CBL data), IPWORLDNET is that big blue molar tooth in the graph on the right. In the interactive chart you can see IPWORLDNET’s Autonomous System (AS) 19875 winning the month with two bursts of spam, and then dropping almost to zero.

That’s not the only spamming churn activity in Canada for October. The log chart shows MetroBridge Networks Corporation AS 25976 METROBRIDGE-NET jumping up from zero to take ninth place. It looks like one organization may have cleaned up its act while another got infested.

Last month’s winner, Canaca-com’s AS 33139 CANACA-210, came in second. From there down it’s mostly the usual suspects in slightly different orders. Interestingly, longterm winner Bell Canada’s AS 577 BACOM only came in fourth. This is unusual for a national telco. Maybe they’re watching the rankings?

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“botnet herders can add it to its spam-spewing botnet” —Fahmida Y. Rashid in eWeek.com

This reporter spits out a string of alliterative language that labels the problem that SpamRankings.net helps diagnose.

Fahmida Y. Rashid wrote in eWeek.com 8 June 2011, UT Researchers Launch SpamRankings to Flag Hospitals Hijacked by Spammers:

“Poor security measures are generally responsible for employee workstations getting compromised, either by spam or malicious Web content. Once the machine is compromised, the botnet herders can add it to its spam-spewing botnet to send out malware to even more people. The original employee or the organization rarely has any idea the machine has been hijacked for this purpose.”
That’s a pretty good explanation for why outbound spam is a proxy for poor infosec.

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Organizing the Cloud Against Spam

In RIPE Labs, here’s a paper on Internet Cloud Layers for Economic Incentives for Internet Security by the IIAR Project (I’m the lead author). Anti-spam blocklists and law enforcement are some Internet organizational layers attempting to deal with the plague of spam, so far reaching a standoff where most users don’t see most spam, yet service providers spend large amounts of computing and people resources blocking it.
The root of the ecrime problem is not technology: it is money.
Continue reading →

Data, Reputation, and Certification Against Spam

I’m giving a talk today at the Internet2 workshop on Collaborative Data-Driven Security for High Performance Networks at WUSTL, St. Louis, MO. You can follow along with the PDF.

There may be some twittering on #DDCSW.

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