Introduction

This is an analysis of spam received at a set of spam traps during the week of Monday April 12th 2004 (ISO week number 16, from Monday April 12th 2004 to Sunday April 18th 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:
3417
Unique message bodies:
3242
Unique sender IP addresses:
2305
Average message size:
5547

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:
609 (17.8%)
Clients with reverse DNS:
2808 (82.2%)
Clients with matching forward and reverse DNS:
2617 (76.6%)

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 255 9.7%
client.comcast.net 163 6.2%
wwwmailman.com 109 4.2%
tekmailer.com 98 3.7%
errr0.com 67 2.6%
wwwoptinmail.com 58 2.2%
ss01.net 46 1.8%
optoptinmail.com 41 1.6%
t3media.net 35 1.3%
dyn.optonline.net 32 1.2%

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 1929 56.5%
*unknown* 452 13.2%
China 160 4.7%
Republic Of Korea 134 3.9%
Canada 90 2.6%
Brazil 86 2.5%
France 65 1.9%
Hong Kong 64 1.9%
Mexico 36 1.1%
Netherlands 32 0.9%
Germany 26 0.8%
Spain 26 0.8%
United Kingdom 26 0.8%
Taiwan 26 0.8%
Japan 22 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 158 4.6%
hotmail.com 114 3.3%
msn.com 105 3.1%
thehdhd.com 43 1.3%
drdsvr.com 26 0.8%
DiscountAlert.com 25 0.7%
mail.com 21 0.6%
yes.com 20 0.6%
19 0.6%
canada.com 18 0.5%

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 1049 45.5%
Microsoft Windows UPnP 668 29%
Microsoft Windows XP microsoft-ds 317 13.8%
Apache httpd 234 10.2%
OpenSSH 186 8.1%
Microsoft mstask 131 5.7%
Sendmail smtpd 126 5.5%
Microsoft IIS webserver 96 4.2%
Microsoft Distributed Transaction Coordinator 81 3.5%
Microsoft Terminal Service 81 3.5%
Microsoft ESMTP 57 2.5%
MySQL 48 2.1%
Microsoft DNS 46 2%
Microsoft Windows 2000 microsoft-ds 44 1.9%
Microsoft ftpd 44 1.9%

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 1315 57%
*unknown* 546 23.7%
FreeBSD 219 9.5%
Linux 213 9.2%
Turtle 24 1%
Apple 16 0.7%
Sun 5 0.2%
Cisco 3 0.1%
Alcatel 2 0.1%
Novell 2 0.1%

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 463 13.5%
Tue 481 14.1%
Wed 519 15.2%
Thu 508 14.9%
Fri 522 15.3%
Sat 491 14.4%
Sun 433 12.7%

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
00 175 5.1%
01 163 4.8%
02 116 3.4%
03 155 4.5%
04 163 4.8%
05 141 4.1%
06 152 4.4%
07 120 3.5%
08 109 3.2%
09 132 3.9%
10 115 3.4%
11 135 4%
Hour Count Percentage
12 149 4.4%
13 121 3.5%
14 148 4.3%
15 160 4.7%
16 129 3.8%
17 143 4.2%
18 144 4.2%
19 139 4.1%
20 167 4.9%
21 140 4.1%
22 171 5%
23 130 3.8%

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 860 25.2%
2.5KiB > size >= 1.5KiB 844 24.7%
3.5KiB > size >= 2.5KiB 610 17.9%
4.5KiB > size >= 3.5KiB 255 7.5%
0.5KiB > size >= 0 177 5.2%
5.5KiB > size >= 4.5KiB 161 4.7%
6.5KiB > size >= 5.5KiB 111 3.2%
7.5KiB > size >= 6.5KiB 92 2.7%
9.5KiB > size >= 8.5KiB 35 1%
8.5KiB > size >= 7.5KiB 34 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 2466 72.2%
xbl.spamhaus.org 1422 41.6%
cbl.abuseat.org 1421 41.6%
dnsbl.ahbl.org 1323 38.7%
sbl.spamhaus.org 1305 38.2%
dul.dnsbl.sorbs.net 984 28.8%
spam.dnsbl.sorbs.net 826 24.2%
socks.dnsbl.sorbs.net 251 7.3%
http.dnsbl.sorbs.net 220 6.4%
relays.visi.com 127 3.7%
misc.dnsbl.sorbs.net 30 0.9%
smtp.dnsbl.sorbs.net 26 0.8%
zombie.dnsbl.sorbs.net 6 0.2%
relays.ordb.org 4 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:
3079 of 3417(90.1%)
bl.spamcop.net, cbl.abuseat.org and dul.dnsbl.sorbs.net:
2762 of 3417(80.8%)
bl.spamcop.net and dul.dnsbl.sorbs.net:
2689 of 3417(78.7%)
bl.spamcop.net and cbl.abuseat.org:
2611 of 3417(76.4%)
*.dnsbl.sorbs.net:
1979 of 3417(57.9%)

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 0 0%
5 > hits >= 0 2028 59.4%
10 > hits >= 5 932 27.3%
15 > hits >= 10 291 8.5%
20 > hits >= 15 111 3.2%
hits >= 20 55 1.6%

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 3294 (96.4%) 2624 (76.8%) 963 (28.2%) 901 (26.4%)
50 >= count > 25 1 (0%) 11 (0.3%) 40 (1.2%) 42 (1.2%)
75 >= count > 50 2 (0.1%) 26 (0.8%) 91 (2.7%) 79 (2.3%)
100 >= count > 75 2 (0.1%) 29 (0.8%) 65 (1.9%) 60 (1.8%)
count > 100 118 (3.5%) 727 (21.3%) 2258 (66.1%) 2335 (68.3%)

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.