Filtering spam, who would have thunk it?
Like me, you probably get a great deal of spam. Also like me, you probably feel the need to review the spam to make sure none of the real emails you are supposed to receive get filtered as spam. The problem with that is that you spend precious minutes of your day checking through tens or hundreds of emails that are not from real contacts and frequently contain malicious content, when you could have used that time eating pizza and watching Jon Stewart.
Running a filter of emails already marked as spam saves you time by deleting emails that you would always recognize as spam. Spam keyword blacklists also let you create much stronger filters than you normally would be able to create for your inbox folder. The purpose of this page is to provide you an ever-expanding list of keywords to filter and blacklist from your spam folder. These filters are meant to be used to scan the spam folder and will automatically delete most of your malicious spam. Come back at least once per month to update your list of keyword filters.
Once a spammer has your email address, your email address will be available to spammers forever. We all know that. That sucks, but C'est la vie, such is life. However, there are ways to reduce the spread your email address. This article gives you one method to help you out. For more tips, see question 6 in this FAQ.
I use these blacklist filters in Gmail. If you want to use these blacklists, I highly recommend forwarding all your email to Gmail. Gmail is extremely efficient at filtering spam, and there is no email program out there that does the job of autofiltering and manual filtering as well as Gmail does. If you choose not to use these filters with Gmail, you then need to modify them to fit your own email program.
Deleted emails are protected. In Gmail, when an email gets deleted, it gets sent to your Trash folder for a period of thirty days. That means that you do not have to worry about important emails getting deleted from your spam folder without your getting the chance to inspect them.
Filter 1: Emails autodeleted: 60 Emails unfiltered: 28 Success rate: 68.2% |
Filter 2: Emails autodeleted: 70 Emails unfiltered: 30 Success rate: 70% |
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Filter 3: Emails autodeleted: 40 Emails unfiltered: 12 Success rate: 76.9% |
Filter 4: Emails autodeleted: 60 Emails unfiltered: 19 Success rate: 75.9% |
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Filter 5: Emails autodeleted: 50 Emails unfiltered: 25 Success rate: 66.7% |
Filter 6: Emails autodeleted: 35 Emails unfiltered: 16 Success rate: 68.6% |
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Filter 7: Emails autodeleted: 61 Emails unfiltered: 19 Success rate: 76.3% |
Filter 8: Emails autodeleted: 61 Emails unfiltered: 17 Success rate: 78.2% |
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Filter 9: Emails autodeleted: 90 Emails unfiltered: 21 Success rate: 81.1% |
Filter 10: Emails autodeleted: 86 Emails unfiltered: 21 Success rate: 80.4% |
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Filter 11: Emails autodeleted: 21 Emails unfiltered: 8 Success rate: 72.4% |
Filter 12: Emails autodeleted: 100 Emails unfiltered: 25 Success rate: 80% |
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Filter 13: Emails autodeleted: 101 Emails unfiltered: 19 Success rate: 84.2% |
Filter 14: Emails autodeleted: 109 Emails unfiltered: 17 Success rate: 86.5% |
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Filter 15: Emails autodeleted: 131 Emails unfiltered: 29 Success rate: 81.9% |
Filter 16: Emails autodeleted: 96 Emails unfiltered: 28 Success rate: 77.4% |
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Filter 17: Emails autodeleted: 330 Emails unfiltered: 103 Success rate: 76.2% |
Filter 18: Emails autodeleted: 350 Emails unfiltered: 100 Success rate: 77.8% |
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Filter 19: Emails autodeleted: 140 Emails unfiltered: 37 Success rate: 79.1% |
Filter 20: Emails autodeleted: 170 Emails unfiltered: 29 Success rate: 85.4% |
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Filter 21: Emails autodeleted: 228 Emails unfiltered: 35 Success rate: 86.7% |
Filter 22: Emails autodeleted: 147 Emails unfiltered: 36 Success rate: 80.3% |
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Filter 23: Emails autodeleted: 304 Emails unfiltered: 49 Success rate: 86.1% |
Filter 24: Emails autodeleted: 203 Emails unfiltered: 24 Success rate: 89.4% |
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Filter 25: Emails autodeleted: 144 Emails unfiltered: 37 Success rate: 79.6% |
Filter 26: Emails autodeleted: 117 Emails unfiltered: 25 Success rate: 82.4% |
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Filter 27: Emails autodeleted: 166 Emails unfiltered: 26 Success rate: 86.5% |
Filter 28: Emails autodeleted: 257 Emails unfiltered: 24 Success rate: 91.5% |
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Filter 29: Emails autodeleted: 192 Emails unfiltered: 24 Success rate: 88.9% |
Filter 30: Emails autodeleted: 248 Emails unfiltered: 34 Success rate: 87.9% |
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Filter 31: Emails autodeleted: 249 Emails unfiltered: 29 Success rate: 89.6% |
Filter 32: Emails autodeleted: 285 Emails unfiltered: 30 Success rate: 90.5% |
Why do the percentage of emails deleted by your filter blacklists go up and down?
Although the percentage of spam emails deleted goes up in general, random statistical fluctuations make the percentage of emails deleted fluctuate. The fluctuations do not mean that the filters of spam are more or less effective.
Why have your percentages plateaued at between 75% and 85%?
This is actually a perceived due to the way percents work. Above 70%, Each 1% percent increase of spam autodeted corresponds to between a 7% and 10% improvement in spam filtering. An improvement from 75% to 85% of spam autodeleted corresponds to approximately a 67% improvement.
Why do you occasionally have brand names in your blacklist?
Second, if a branded company does not satisfactorially unsubsribed a user from their email lists after multiple attempts, their emails can be marked as unsolicited commercial email.
Why are some of the words in your spam filters totally random and nonsensical?
Some of the spam you and I get contains absolute nonsense and appears to contain no special keywords that are blacklistable. In order to be vigilant against the spam, addressmunger.com insists on blacklisting at least one word or phrase in every spam email. This serves a secondary purpose of helping us discover keywords that may not seem valuable for a blacklist that turn out to be very powerful.
Why do your keywords occasionally occur in more than one filters?
In one of the steps of the filtering process, I recommend that you add keywords into the "Doesn't have" section of the filter. I do this very carefully. This causes me to occasionally repeat a keyword.
What should I do if I have a keyword list I that would like to recommend to you?
Disclaimer: Follow each step extremely carefully. It is your responsibility to manage your own spam. It is up to you to determine appropriate filters and inspect your Trash folder to make sure the filter works properly. AddressMunger.com accepts no responsibility in errors, temporary deletions, or permanent deletions caused by the use of this guide. Addressmunger.com is not responsible for the way you use the information on this website.