Introduction

This is an analysis of spam received at a set of spam traps during the week of Monday February 2nd 2004 (ISO week number 06, from Monday February 2nd 2004 to Sunday February 8th 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:
2874
Unique message bodies:
2767
Unique sender IP addresses:
1907
Average message size:
16705

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:
800 (27.8%)
Clients with reverse DNS:
2074 (72.2%)
Clients with matching forward and reverse DNS:
1852 (64.4%)

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 104 5.6%
dyn.optonline.net 49 2.6%
intersol.co.th 31 1.7%
dsl.pltn13.pacbell.net 25 1.3%
jwqqq.com 24 1.3%
verebelyl-bp.sulinet.hu 24 1.3%
mailmmm.com 22 1.2%
sheck-buy.com 22 1.2%
dsl.lsan03.pacbell.net 17 0.9%
t-net.net.ve 17 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 1412 49.1%
China 179 6.2%
Republic Of Korea 135 4.7%
Canada 83 2.9%
Brazil 74 2.6%
France 72 2.5%
Germany 65 2.3%
Spain 57 2%
Netherlands 54 1.9%
Thailand 48 1.7%
India 46 1.6%
United Kingdom 41 1.4%
Poland 35 1.2%
Hungary 33 1.1%
Israel 31 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
234 8.1%
yahoo.com 124 4.3%
msn.com 45 1.6%
hotmail.com 39 1.4%
aol.com 35 1.2%
keysockets.com 22 0.8%
sheck-buy.com 22 0.8%
stocksnut.com 16 0.6%
MDSSVR.COM 14 0.5%
decrfrcc.com 13 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 782 41%
Microsoft Windows UPnP 493 25.9%
Microsoft Windows XP microsoft-ds 263 13.8%
OpenSSH 160 8.4%
Apache httpd 150 7.9%
Microsoft mstask 149 7.8%
Microsoft Terminal Service 87 4.6%
Microsoft Distributed Transaction Coordinator 85 4.5%
Microsoft IIS webserver 84 4.4%
Microsoft DNS 63 3.3%
ISC Bind 56 2.9%
Sendmail smtpd 55 2.9%
Microsoft ESMTP 47 2.5%
Microsoft ftpd 46 2.4%
Microsoft Windows 2000 microsoft-ds 44 2.3%

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 976 51.2%
*unknown* 580 30.4%
Linux 169 8.9%
FreeBSD 83 4.4%
Sun 23 1.2%
Turtle 21 1.1%
Cisco 18 0.9%
IBM 8 0.4%
Apple 6 0.3%
3Com 5 0.3%

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 478 16.6%
Tue 462 16.1%
Wed 424 14.8%
Thu 446 15.5%
Fri 399 13.9%
Sat 347 12.1%
Sun 318 11.1%

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
00 106 3.7%
01 124 4.3%
02 125 4.3%
03 147 5.1%
04 106 3.7%
05 110 3.8%
06 112 3.9%
07 117 4.1%
08 116 4%
09 117 4.1%
10 102 3.5%
11 122 4.2%
Hour Count Percentage
12 134 4.7%
13 116 4%
14 138 4.8%
15 103 3.6%
16 130 4.5%
17 143 5%
18 113 3.9%
19 116 4%
20 146 5.1%
21 109 3.8%
22 106 3.7%
23 116 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 597 20.8%
30.5KiB > size >= 29.5KiB 568 19.8%
2.5KiB > size >= 1.5KiB 385 13.4%
3.5KiB > size >= 2.5KiB 241 8.4%
31.5KiB > size >= 30.5KiB 226 7.9%
32.5KiB > size >= 31.5KiB 173 6%
4.5KiB > size >= 3.5KiB 127 4.4%
0.5KiB > size >= 0 109 3.8%
5.5KiB > size >= 4.5KiB 88 3.1%
33.5KiB > size >= 32.5KiB 79 2.7%

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 1288 44.8%
xbl.spamhaus.org 982 34.2%
cbl.abuseat.org 981 34.1%
dul.dnsbl.sorbs.net 945 32.9%
dnsbl.ahbl.org 431 15%
sbl.spamhaus.org 398 13.8%
socks.dnsbl.sorbs.net 303 10.5%
http.dnsbl.sorbs.net 255 8.9%
spam.dnsbl.sorbs.net 146 5.1%
relays.visi.com 113 3.9%
zombie.dnsbl.sorbs.net 18 0.6%
misc.dnsbl.sorbs.net 16 0.6%
relays.ordb.org 13 0.5%
smtp.dnsbl.sorbs.net 11 0.4%

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:
1974 of 2874(68.7%)
bl.spamcop.net, cbl.abuseat.org and dul.dnsbl.sorbs.net:
1803 of 2874(62.7%)
bl.spamcop.net and dul.dnsbl.sorbs.net:
1660 of 2874(57.8%)
bl.spamcop.net and cbl.abuseat.org:
1464 of 2874(50.9%)
*.dnsbl.sorbs.net:
1300 of 2874(45.2%)

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 17 0.6%
5 > hits >= 0 1690 58.8%
10 > hits >= 5 670 23.3%
15 > hits >= 10 218 7.6%
20 > hits >= 15 182 6.3%
hits >= 20 97 3.4%

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 2769 (96.3%) 1994 (69.4%) 1164 (40.5%) 986 (34.3%)
50 >= count > 25 2 (0.1%) 14 (0.5%) 20 (0.7%) 20 (0.7%)
75 >= count > 50 5 (0.2%) 31 (1.1%) 19 (0.7%) 18 (0.6%)
100 >= count > 75 5 (0.2%) 25 (0.9%) 34 (1.2%) 30 (1%)
count > 100 93 (3.2%) 810 (28.2%) 1637 (57%) 1820 (63.3%)

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.