Example.com - spam statistics

Table of Contents

Introduction
Statistics
Graphs:

Introduction

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

Statistics

##Items## in archive:	##items_processed##
Archive size (compressed):	##size_compressed##
Archive size (uncompressed):	##size_uncompressed##
##Items## skipped:	##items_skipped##
##Items## in the last 24 hours:	##last_24_hours##
##Items## in the last 7 days:	##last_7_days##
##Items## in the last 30 days:	##last_30_days##

Spams are skipped due to two reasons:

Either they have a garbled From line, like an invalid date
or they are double-bounces, e.g. a bounce from the mailer-daemon to notify the sender of the alleged spam bounced again back with an error message. Most of the times the spammers use invalid or forged addresses, and usually the other side is quickly filled with all the bounces and complains, thus double-bounces occur frequently.

Graphs

The last 60 days

The last 60 days

##Items## per day

##Items## per month

##Items## per Year

Per Hour of the Day

##Items## per Hour of the Day

Per Day of the Week

##Items## per Day of the Week

Per Day of the Month

##Items## per Day of the Month

##Items## per Month of the Year

Per Top-level Domain

##Items## per top-level Domain

Per Filter Rule

##Items## per rule

Per Target Address

##Items## per target address

Per Target Domain

##Items## per target domain

SpamAssassin Score Histogram

SpamAssassin Score Histogram

Made with Mail::Graph v##version##
Last regenerated: ##generated##, took ##took## seconds