Introduction

This is an analysis of spam received at a set of spam traps during the week of Monday February 9th 2004 (ISO week number 07, from Monday February 9th 2004 to Sunday February 15th 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:
2175
Unique message bodies:
2064
Unique sender IP addresses:
1635
Average message size:
12501

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 (28%)
Clients with reverse DNS:
1566 (72%)
Clients with matching forward and reverse DNS:
1436 (66%)

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 97 6.8%
dyn.optonline.net 32 2.2%
sheck-buy.com 26 1.8%
cable.mindspring.com 17 1.2%
dsl.pltn13.pacbell.net 17 1.2%
dip.t-dialin.net 16 1.1%
ne.client2.attbi.com 16 1.1%
client.mchsi.com 14 1%
alcatel.com 13 0.9%
bb.netvision.net.il 13 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 1045 48%
China 155 7.1%
Republic Of Korea 136 6.3%
Canada 88 4%
Brazil 64 2.9%
France 51 2.3%
Netherlands 48 2.2%
United Kingdom 36 1.7%
Israel 36 1.7%
Germany 33 1.5%
Italy 32 1.5%
India 31 1.4%
Spain 30 1.4%
Poland 26 1.2%
*unknown* 25 1.1%

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 108 5%
95 4.4%
hotmail.com 48 2.2%
msn.com 32 1.5%
aol.com 27 1.2%
sheck-buy.com 26 1.2%
syndicatesales.biz 19 0.9%
gamesandspecialofferstoo.com 12 0.6%
juno.com 12 0.6%
cisco.com 11 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 709 43.4%
Microsoft Windows UPnP 468 28.6%
Microsoft Windows XP microsoft-ds 225 13.8%
OpenSSH 127 7.8%
Apache httpd 126 7.7%
Microsoft mstask 102 6.2%
Microsoft Terminal Service 66 4%
Microsoft Distributed Transaction Coordinator 65 4%
Microsoft IIS webserver 57 3.5%
Sendmail smtpd 56 3.4%
Microsoft ESMTP 46 2.8%
ISC Bind 44 2.7%
KaZaA client 40 2.4%
Microsoft DNS 34 2.1%
Microsoft ftpd 33 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 892 54.6%
*unknown* 463 28.3%
Linux 149 9.1%
FreeBSD 69 4.2%
Turtle 19 1.2%
Sun 7 0.4%
IBM 6 0.4%
Apple 4 0.2%
Cisco 4 0.2%
Smoothwall 4 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 366 16.8%
Tue 386 17.7%
Wed 395 18.2%
Thu 297 13.7%
Fri 254 11.7%
Sat 207 9.5%
Sun 270 12.4%

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 88 4%
01 97 4.5%
02 111 5.1%
03 87 4%
04 106 4.9%
05 62 2.9%
06 97 4.5%
07 79 3.6%
08 99 4.6%
09 73 3.4%
10 84 3.9%
11 86 4%
Hour Count Percentage
12 93 4.3%
13 104 4.8%
14 86 4%
15 89 4.1%
16 70 3.2%
17 95 4.4%
18 95 4.4%
19 93 4.3%
20 89 4.1%
21 94 4.3%
22 107 4.9%
23 91 4.2%

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 624 28.7%
2.5KiB > size >= 1.5KiB 344 15.8%
30.5KiB > size >= 29.5KiB 296 13.6%
3.5KiB > size >= 2.5KiB 177 8.1%
4.5KiB > size >= 3.5KiB 126 5.8%
31.5KiB > size >= 30.5KiB 122 5.6%
5.5KiB > size >= 4.5KiB 93 4.3%
32.5KiB > size >= 31.5KiB 79 3.6%
0.5KiB > size >= 0 46 2.1%
6.5KiB > size >= 5.5KiB 41 1.9%

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 1282 58.9%
xbl.spamhaus.org 987 45.4%
cbl.abuseat.org 985 45.3%
dul.dnsbl.sorbs.net 781 35.9%
sbl.spamhaus.org 383 17.6%
dnsbl.ahbl.org 361 16.6%
socks.dnsbl.sorbs.net 250 11.5%
http.dnsbl.sorbs.net 245 11.3%
spam.dnsbl.sorbs.net 132 6.1%
relays.visi.com 106 4.9%
smtp.dnsbl.sorbs.net 13 0.6%
misc.dnsbl.sorbs.net 12 0.6%
relays.ordb.org 7 0.3%
zombie.dnsbl.sorbs.net 5 0.2%

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:
1699 of 2175(78.1%)
bl.spamcop.net, cbl.abuseat.org and dul.dnsbl.sorbs.net:
1569 of 2175(72.1%)
bl.spamcop.net and dul.dnsbl.sorbs.net:
1484 of 2175(68.2%)
bl.spamcop.net and cbl.abuseat.org:
1392 of 2175(64%)
*.dnsbl.sorbs.net:
1119 of 2175(51.4%)

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 4 0.2%
5 > hits >= 0 1164 53.5%
10 > hits >= 5 477 21.9%
15 > hits >= 10 281 12.9%
20 > hits >= 15 161 7.4%
hits >= 20 88 4%

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 2067 (95%) 1502 (69.1%) 729 (33.5%) 637 (29.3%)
50 >= count > 25 1 (0%) 14 (0.6%) 17 (0.8%) 19 (0.9%)
75 >= count > 50 3 (0.1%) 22 (1%) 24 (1.1%) 24 (1.1%)
100 >= count > 75 0 (0%) 32 (1.5%) 16 (0.7%) 16 (0.7%)
count > 100 104 (4.8%) 605 (27.8%) 1389 (63.9%) 1479 (68%)

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.