Introduction

This is an analysis of spam received at a set of spam traps during the week of Monday May 31st 2004 (ISO week number 23, from Monday May 31st 2004 to Sunday June 6th 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:
2753
Unique message bodies:
2596
Unique sender IP addresses:
2129
Average message size:
7112

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:
632 (23%)
Clients with reverse DNS:
2121 (77%)
Clients with matching forward and reverse DNS:
1909 (69.3%)

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
client.comcast.net 100 5.2%
hkcable.com.hk 42 2.2%
imgsvr.com 40 2.1%
t3media.net 39 2%
bestthings247.com 35 1.8%
dyn.optonline.net 32 1.7%
optssvr.net 32 1.7%
bbtec.net 25 1.3%
ny325.east.verizon.net 25 1.3%
ipt.aol.com 21 1.1%

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 1255 45.6%
*unknown* 394 14.3%
Republic Of Korea 237 8.6%
China 131 4.8%
Brazil 116 4.2%
Canada 98 3.6%
Hong Kong 74 2.7%
Japan 67 2.4%
United Kingdom 35 1.3%
Spain 34 1.2%
Mexico 27 1%
Taiwan 25 0.9%
Germany 24 0.9%
France 22 0.8%
Netherlands 19 0.7%

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 172 6.2%
hotmail.com 132 4.8%
msn.com 115 4.2%
drdsvr.com 39 1.4%
DiscountAlert.com 33 1.2%
britmilla.com 30 1.1%
aol.com 22 0.8%
bestthings247.com 22 0.8%
stderr.crystalholdings.com 20 0.7%
fyi-consumer.com 19 0.7%

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 803 37.7%
Microsoft Windows UPnP 599 28.1%
OpenSSH 224 10.5%
Microsoft Windows XP microsoft-ds 184 8.6%
Apache httpd 181 8.5%
Microsoft mstask 102 4.8%
Microsoft Terminal Service 73 3.4%
Microsoft IIS webserver 72 3.4%
Microsoft ESMTP 49 2.3%
Microsoft Distributed Transaction Coordinator 45 2.1%
MySQL 45 2.1%
Microsoft DNS 41 1.9%
Microsoft Windows 2000 microsoft-ds 37 1.7%
Microsoft ftpd 36 1.7%
ProFTPD 36 1.7%

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 1189 55.8%
*unknown* 593 27.9%
Linux 246 11.6%
FreeBSD 43 2%
Turtle 37 1.7%
Sun 7 0.3%
Cisco 5 0.2%
D-Link 4 0.2%
IBM 4 0.2%
TurtleBeach 3 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 367 13.3%
Tue 406 14.7%
Wed 401 14.6%
Thu 432 15.7%
Fri 414 15%
Sat 369 13.4%
Sun 364 13.2%

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
00 132 4.8%
01 100 3.6%
02 111 4%
03 119 4.3%
04 93 3.4%
05 96 3.5%
06 110 4%
07 115 4.2%
08 99 3.6%
09 153 5.6%
10 103 3.7%
11 107 3.9%
Hour Count Percentage
12 86 3.1%
13 102 3.7%
14 99 3.6%
15 126 4.6%
16 108 3.9%
17 118 4.3%
18 117 4.2%
19 129 4.7%
20 113 4.1%
21 122 4.4%
22 136 4.9%
23 159 5.8%

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 843 30.6%
2.5KiB > size >= 1.5KiB 564 20.5%
3.5KiB > size >= 2.5KiB 423 15.4%
4.5KiB > size >= 3.5KiB 253 9.2%
0.5KiB > size >= 0 149 5.4%
5.5KiB > size >= 4.5KiB 119 4.3%
6.5KiB > size >= 5.5KiB 59 2.1%
7.5KiB > size >= 6.5KiB 40 1.5%
9.5KiB > size >= 8.5KiB 34 1.2%
8.5KiB > size >= 7.5KiB 34 1.2%

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 1909 69.3%
xbl.spamhaus.org 1408 51.1%
cbl.abuseat.org 1387 50.4%
dul.dnsbl.sorbs.net 1027 37.3%
dnsbl.ahbl.org 801 29.1%
sbl.spamhaus.org 724 26.3%
socks.dnsbl.sorbs.net 298 10.8%
http.dnsbl.sorbs.net 262 9.5%
spam.dnsbl.sorbs.net 248 9%
misc.dnsbl.sorbs.net 134 4.9%
relays.visi.com 115 4.2%
smtp.dnsbl.sorbs.net 22 0.8%
zombie.dnsbl.sorbs.net 8 0.3%
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:
2508 of 2753(91.1%)
bl.spamcop.net, cbl.abuseat.org and dul.dnsbl.sorbs.net:
2269 of 2753(82.4%)
bl.spamcop.net and dul.dnsbl.sorbs.net:
2187 of 2753(79.4%)
bl.spamcop.net and cbl.abuseat.org:
2068 of 2753(75.1%)
*.dnsbl.sorbs.net:
1513 of 2753(55%)

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 1712 62.2%
10 > hits >= 5 714 25.9%
15 > hits >= 10 242 8.8%
20 > hits >= 15 63 2.3%
hits >= 20 22 0.8%

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 2665 (96.8%) 2072 (75.3%) 1298 (47.1%) 1266 (46%)
50 >= count > 25 0 (0%) 8 (0.3%) 30 (1.1%) 24 (0.9%)
75 >= count > 50 8 (0.3%) 28 (1%) 78 (2.8%) 67 (2.4%)
100 >= count > 75 3 (0.1%) 22 (0.8%) 62 (2.3%) 55 (2%)
count > 100 77 (2.8%) 623 (22.6%) 1285 (46.7%) 1341 (48.7%)

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.