Who Are The Spammers?
According to the Registry Of Known Spam Operations (ROKSO) database, 200 spammers are responsible for 90% of the world’s spam.
The ROKSO database makes fascinating reading. However, while a lot of journalists routinely mine this database for stories, few non-journalists and non-spam-fighters seem to know about it.
Why am I thinking about SPAMHAUS? Because it turns out that MIT is on the SPAMHAUS SBL — the Spamhaus Block List — as a “verified spam source.”
Ironically, I found this out when I was trying to report spam from someone else…
The original message was
received at Sat, 23 Oct 2004 13:25:19 -0400 (EDT)
from CENTRAL-CITY-CARRIER-STATION.MIT.EDU [18.7.7.72]
---- The following addresses had permanent
fatal errors -----
(reason: 553 5.3.0 rejected see
http://www.spamhaus.org/SBL or http://dsbl.org)
----- Transcript of session follows -----
... while talking to mx03.t-net.net.ve.:
MAIL From:
http://www.spamhaus.org/SBL or http://dsbl.org
501 5.6.0 Data format error
Reporting-MTA: dns; pacific-carrier-annex.mit.edu
Received-From-MTA: DNS;
CENTRAL-CITY-CARRIER-STATION.MIT.EDU
Arrival-Date: Sat, 23 Oct 2004 13:25:19 -0400 (EDT)
Final-Recipient: RFC822; sci2005@telcel.net.ve
Action: failed
Status: 5.3.0
Diagnostic-Code: SMTP; 553 5.3.0 rejected see
http://www.spamhaus.org/SBL or http://dsbl.org
Last-Attempt-Date: Sat, 23 Oct 2004 13:25:30 -0400 (EDT)
From: "Simson L. Garfinkel"
Date: October 23, 2004 1:22:42 PM EDT
To: webmaster@ao.net
Cc: sci2005@telcel.net.ve, sci2005@cantv.net
(Prof. Nagib Callaos),
sci2005@iiis.org, "Prof. Nagib Callaos"
Subject: spam from your user...
Keep Reading
Most Popular
Large language models can do jaw-dropping things. But nobody knows exactly why.
And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.
The problem with plug-in hybrids? Their drivers.
Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.
Google DeepMind’s new generative model makes Super Mario–like games from scratch
Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.
How scientists traced a mysterious covid case back to six toilets
When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.
Stay connected
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.