Bloodgate.com - spam statistics

Table of Contents

Back to the Spam stats main page.

Introduction

This page is an attempt to visualize the spam amounts I get.

My mail server collects automatically every spam (junk mail, not to be confused with SPAM - the food) it receives, and archives it. To these archives I added all the spam in my local inbox (e.g. the one that were not filtered) by converting it to the same format my archives have.

All spam was sent to either my pobox.com account or to any address at bloodgate.com. There is only one person for this domain, but I had the habit to issue multiple dummy addresses as spam-traps. This was a bad decision, since it only let to the fact that I get most spam multiple times - for instance, to my two whois-addresses, my gimp developer address, and to my normal dummy address. I stopped this a long time ago, but the old addresses are still spammed into oblivion. Add to this the fact that the spammers sometimes outright guess addresses or mangle them (by dropping numbrs, for instance), and you know the reason why both the number of target addresses and the spam count are so high.

The archives date back until July 1998. From February to March 2000 and in August 2001 the filter was offline and the spam sloshed directly into my local inbox. It seems, however, that I lost some of the automatic archive in these time frames - it is hard to tell.
So please don't interfer anything from the unusual low spam counts in these two time frames.

I also lost the archive from 23.6 - 27.6. 2002 due to my clumsy file shuffling :-/
Fortunately I got a rolling backup of the last x hundred email messages and made a snapshot. Unfortunately, the messages are saved before the spam filtering, so I need to re-tag and extract them manually (well, scriptically). When this is done, the count for the last days in Juni will be corrected. What you see now are only the 1-2 messages per day that go around my filter and land in my mailbox directly.

Also, my pobox account generates an unusual high volume of spam, but for some time I had it just delete any spam instead of forwarding to my filter (and thus it didn't get archived). In short: the actual amount of spam is likely much higher for some timeframes.

The target domain stat is slightly wrong, since the filter at elstner.com address used to lump together everything I received before I refined my filter setup. In reality, the spam would go to my pobox.com account, or my dummy address, and then end up at the bloodgate.com system. It was then forwarded to filter at elstner.com, where it got filtered, and then stuffed back into my inbox or the spam archive, depending on the filter outcome. Since the graph tool can not yet figure this out, the stats are wrong. I already pre-processed some of my spams to add the correct X-Envelope-To: headers.

The site is not complete yet, I am still working on it. If you have any comments, or want the script to generate these pages, please email me.

Statistics

Spams processed: 6376
Archive size:    
compressed: 11.9 Mb
uncompressed: 44 Mb
Spams skipped: 705
Spams in the last 24 hours: 32
Spams in the last 7 days: 211
Spams in the last 30 days: 823

Spams are skipped due to two reasons:

Graphs

The last 30 days

The last 30 days

Daily

Spams per day

Monthly

Spams per month

Yearly

Spams per Year

Per Hour of the Day

Spams per Hour of the Day

Per Day of the Week

Spams per Day of the Week

Per Day of the Month

Spams per Day of the Month

Per Month

Spams per Month of the Year

Per Top-level Domain

Spams per top-level Domain

Per Filter Rule

Spams per rule

Per Target Address

Spams per target address
 
Please note that a lot of these addresses don't exist, but the spammers tried to deliver mail to them, nonetheless. Especially noteworthy are the combinations of the whois_dummy and gimp_dummy addresses. Most of them are garbled and are very probably due to the spammer trying to defeat (wrongly) anti-spam measurements by varing the address.

Per Target Domain

Spams per target domain

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