Introduction

This is an analysis of spam received at a set of spam traps during the week of Monday March 8th 2004 (ISO week number 11, from Monday March 8th 2004 to Sunday March 14th 2004 inclusive). Most of the spam traps are expired or non-existent accounts, the remaining few have been unused for a long time with no legitimate email traffic. All the expired addresses have been bouncing mail for over a year, most for more then three. None of the spam traps have been actively seeded to receive spam. For the purpose of this report, spam is defined as any message delivered to these spam traps. All times and dates are relative to UTC.

While it is impossible to say with any level of certainty how representative these numbers are of spam in general, I believe they are close enough to provide useful information to anyone interested in spam or spam prevention.

Summary

A short summary of this weeks numbers.

Total number of messages:
2782
Unique message bodies:
2701
Unique sender IP addresses:
1827
Average message size:
5701

Client DNS

Reverse DNS

The client IP address is looked up in DNS at the time of delivery. The following shows the number of clients with and without published reverse DNS information, and the number of clients with matching forward and reverse DNS information.

Clients without reverse DNS:
389 (14%)
Clients with reverse DNS:
2393 (86%)
Clients with matching forward and reverse DNS:
2227 (80.1%)

Originating Domain

The 10 most frequent domains (reverse excluding the host name/left most label). Only clients with matching forward and reverse DNS information are considered. Count is the number of messages delivered from clients within the given domain. Percentage is relative to the number of messages delivered from clients with matching forward and reverse DNS information.

Domain Count Percentage
moosq.com 211 9.5%
com 172 7.7%
tekmailer.com 91 4.1%
client.comcast.net 89 4%
mailmmm.com 62 2.8%
optinmaildomain.com 62 2.8%
wwwmailman.com 62 2.8%
jwqqq.com 52 2.3%
ss01.net 24 1.1%
blmngp.com 21 0.9%

Client Countries

Client Country Distribution

Client country is determined using the WebHosting.Info ip-to-country data. Data is updated monthly if there are updates available. This shows the top 15 countries for delivering clients. Count is the number of messages delivered from clients in the given country. Percentage is relative to the total number of messages received in the reporting period.

oos-contry.png

Contry Count Percentage
United States 1899 68.3%
*unknown* 138 5%
Canada 98 3.5%
Republic Of Korea 94 3.4%
China 90 3.2%
Brazil 58 2.1%
France 53 1.9%
Germany 29 1%
Mexico 23 0.8%
Japan 21 0.8%
Israel 20 0.7%
Netherlands 19 0.7%
Spain 19 0.7%
Austria 17 0.6%
Italy 17 0.6%

Senders

Claimed Sender Domains

Domain name claimed in envelope sender addresses. It is commonly accepted that a significant share of all spam is sent with a forged sender address, so the following list is useless for identifying message origin. It is included here to show spammers domain preference when forging sender addresses.

Domain Count Percentage
yahoo.com 125 4.5%
hotmail.com 44 1.6%
msn.com 42 1.5%
aol.com 27 1%
thehdhd.com 27 1%
DiscountAlert.com 25 0.9%
drdsvr.com 21 0.8%
alluringads.com 19 0.7%
myquickernews.com 19 0.7%
entertainingads.com 18 0.6%

Clients

A port scan is performed on all clients delivering messages to spam traps. The scan is started as soon as possible after message delivery, usually within a few seconds.

Please note that in cases where the client is located behind a router or firewall doing NAT, the target of the scan may be the router/firewall not the sending client.

Services On Unfiltered Ports

Services are identified by nmaps version detection feature. The following lists the 15 most common services found on unfiltered ports. The count is the number of distinct IP addresses, the percentage is relative to the total number of distinct IP addresses seen within the reporting period.

Service Count Percentage
Microsoft Windows msrpc 674 36.9%
Microsoft Windows UPnP 409 22.4%
Apache httpd 290 15.9%
Microsoft Windows XP microsoft-ds 253 13.8%
OpenSSH 159 8.7%
Sendmail smtpd 131 7.2%
bsd-ftpd 124 6.8%
Microsoft mstask 90 4.9%
Microsoft Distributed Transaction Coordinator 57 3.1%
Microsoft IIS webserver 57 3.1%
Microsoft Terminal Service 54 3%
MySQL 51 2.8%
Microsoft ESMTP 44 2.4%
Microsoft DNS 42 2.3%
KaZaA client 36 2%

Client OS Vendor

Client operating systems are identified by nmaps TCP/IP fingerprinting feature. The following lists the 10 most common client operating system vendors. In cases where TCP/IP fingerprinting did not successfully identify the clients operating systems, it is listed as *unknown*.

oos-os-vendor.png

Vendor Count Percentage
Microsoft 860 47.1%
*unknown* 426 23.3%
Linux 278 15.2%
FreeBSD 246 13.5%
Turtle 25 1.4%
Apple 23 1.3%
Sun 6 0.3%
IBM 5 0.3%
3Com 4 0.2%
Draytek 3 0.2%

Time Distribution

Day of Week

Distribution of messages over days of week. The count shows the number of messages received on each day, the percentage is relative to the total number of messages received within the reporting period.

oos-day-of-week.png

Day Count Percentage
Mon 385 13.8%
Tue 394 14.2%
Wed 397 14.3%
Thu 433 15.6%
Fri 405 14.6%
Sat 405 14.6%
Sun 363 13%

Time of Day

Distribution of messages over time of day. 00 describes the hour from 00:00 to 01:00. The count shows the number of messages received within each hour, the percentage is relative to the total number of messages received within the reporting period.

oos-time-of-day.png

Hour Count Percentage
00 126 4.5%
01 125 4.5%
02 105 3.8%
03 108 3.9%
04 114 4.1%
05 91 3.3%
06 98 3.5%
07 108 3.9%
08 104 3.7%
09 104 3.7%
10 116 4.2%
11 100 3.6%
Hour Count Percentage
12 105 3.8%
13 112 4%
14 108 3.9%
15 140 5%
16 139 5%
17 137 4.9%
18 110 4%
19 125 4.5%
20 127 4.6%
21 127 4.6%
22 131 4.7%
23 122 4.4%

Size Distribution

Message Size Distribution

Message size distribution over all messages. Count is the number of messages within the given size range. The percentage is relative to the total number of messages received within the reporting period.

oos-size.png

Size Count Percentage
1.5KiB > size >= 0.5KiB 1048 37.7%
2.5KiB > size >= 1.5KiB 590 21.2%
3.5KiB > size >= 2.5KiB 356 12.8%
4.5KiB > size >= 3.5KiB 190 6.8%
5.5KiB > size >= 4.5KiB 118 4.2%
6.5KiB > size >= 5.5KiB 78 2.8%
0.5KiB > size >= 0 64 2.3%
7.5KiB > size >= 6.5KiB 60 2.2%
11.5KiB > size >= 10.5KiB 29 1%
12.5KiB > size >= 11.5KiB 28 1%

DNS Block Lists

These numbers shows the presence of the sending client in a DNS block list at the time of message delivery. The selection of DNS block lists may be updated on a monthly basis.

Senders In DNS Block Lists

Sending clients present in DNS block list at the time of delivery. The count is the total number of messages delivered from clients listed in the respective block list. The percentage is relative to the total number of messages received within the reporting period.

DNS block list Count Percentage
bl.spamcop.net 2172 78.1%
sbl.spamhaus.org 1375 49.4%
dnsbl.ahbl.org 1335 48%
cbl.abuseat.org 844 30.3%
xbl.spamhaus.org 840 30.2%
dul.dnsbl.sorbs.net 710 25.5%
spam.dnsbl.sorbs.net 675 24.3%
http.dnsbl.sorbs.net 174 6.3%
socks.dnsbl.sorbs.net 154 5.5%
relays.visi.com 107 3.8%
misc.dnsbl.sorbs.net 18 0.6%
relays.ordb.org 4 0.1%
smtp.dnsbl.sorbs.net 3 0.1%
zombie.dnsbl.sorbs.net 2 0.1%

DNS Block List Groups

To investigate overlap of the different DNS block lists and the effectiveness of combinations of block lists, the following shows the number of messages delivered from clients listed in at least one of the groups block lists. The set of groups may be updated on a monthly basis.

all:
2581 of 2782(92.8%)
bl.spamcop.net, cbl.abuseat.org and dul.dnsbl.sorbs.net:
2387 of 2782(85.8%)
bl.spamcop.net and dul.dnsbl.sorbs.net:
2360 of 2782(84.8%)
bl.spamcop.net and cbl.abuseat.org:
2234 of 2782(80.3%)
*.dnsbl.sorbs.net:
1489 of 2782(53.5%)

SpamAssassin

All messages are filtered through SpamAssassin and reports are generated on hit rates excluding Bayesian classification scores.

SpamAssassin Without Bayesian Classifier

SpamAssassin hits when disregarding the result of the Bayesian classifier. The count is the number of messages for the given score range. The percentage is relative to the total number of messages received within the reporting period.

oos-sa-only.png

Hits Count Percentage
0 > hits 39 1.4%
5 > hits >= 0 1541 55.4%
10 > hits >= 5 740 26.6%
15 > hits >= 10 270 9.7%
20 > hits >= 15 119 4.3%
hits >= 20 73 2.6%

Distributed Checksum Clearinghouse

DCC Matches

Number of matches for the three matching algorithms used by DCC. The DCC servers are queried at the time of delivery. The Body, Fuz1 and Fuz2 columns shows the number of messages matched in the count range for their respective algorithm. The Highest column shows the number of hits from the algorithm returning the highest match count. The percentage is relative to the total number of messages received within the reporting period.

oos-dcc.png

Range Body Fuz1 Fuz2 Highest
25 >= count 2670 (96%) 1881 (67.6%) 709 (25.5%) 562 (20.2%)
50 >= count > 25 2 (0.1%) 10 (0.4%) 55 (2%) 30 (1.1%)
75 >= count > 50 3 (0.1%) 13 (0.5%) 144 (5.2%) 61 (2.2%)
100 >= count > 75 8 (0.3%) 23 (0.8%) 80 (2.9%) 64 (2.3%)
count > 100 99 (3.6%) 855 (30.7%) 1794 (64.5%) 2065 (74.2%)

About

On the Origin Of Spam is published as weekly and monthly reports by B. Johannessen in the hope that it will be useful to the anti-spam community.