Thunderbird’s built-in spam filter is pretty good, more accurate (and a lot easier to set up and use) than several others I’ve tried, but even so it’s accuracy still leaves something to be desired. I don’t get anywhere near as much spam now as I used to, but roughly half of my daily e-mail is …
Continue reading ‘Getting SpamBayes/ThunderBayes Working (Under Linux)’ »
Spam messages are rarely amusing enough for me to post anymore, but this one takes the cake: Subject: Hegihten the qulaity of your ereictons with Soft (ialis. Biggest_bIowout_sale of \/aIium in our onIine pharmacy Sorry guys, but SpamBayes wasn’t fooled. You’ll have to do better than misspelled words and ASCII art to get past it.
I’ve talked about ThunderBayes (the Thunderbird front-end for the SpamBayes anti-spam engine) here before, several times. It’s great. Unfortunately it’s no longer supported, and I don’t have the time to properly learn Javascript so I can fix it myself. So when an SSL update broke my customized version of it a couple days ago, I …
Continue reading ‘ThunderBayes: So Long, And Thanks For All The Fish’ »
SpamBayes marked this one “unsure” (only 87% probability of being spam) so I looked at it to make certain. Then I decided to give my tongue-in-cheek “answer” to it here: To: (someone else’s e-mail address at my ISP) From: jeanette (random nonsense e-mail address) Subject: hi from jeanette I would never have guessed. Hi It`s …
Although interesting (to me) in and of itself, I’m mentioning this article because of this bit from the last paragraph: In other developments, spammers have abandoned the use of image-based spam, file attachment spam and other such frippery by going back to basics. Nine in ten spam messages now contain little more beyond a few …
Continue reading ‘“Cybercrooks get faster, further and sneakier”’ »
Maybe spammers don’t need to have even average intelligence to make money at it? I’ve gotten a large number of spams recently (all caught by SpamBayes with no real difficulty) that have one sensationalistic headline in the subject line, and a completely different one in the body of the message. Case in point: Subject: Facebook …
After one month of using it, I’m very happy to confirm that SpamBayes (via the ThunderBayes plug-in for Thunderbird) is absolutely as awesome as I’d heard it could be! The scoring is so accurate that I decided a while back to let it automatically delete messages with 100% spam probability as read, so that I …
After several days of using ThunderBayes/SpamBayes, I’m happy to report that it’s just as awesome as it was rumored to be! 😀 Even better, I’ve been able to fix one of the problems that I had with setting it up (the multiple-accounts bug). I sent the code changes to Daniel Miller, the original ThunderBayes developer, …
As reported yesterday, I’m now using ThunderBayes/SpamBayes to filter spam. I manually classified several hundred recent spam messages, and a roughly-equal number of recent personal (“ham”) messages. So far, it hasn’t had a single false positive on either side, and most of the “unsure” classifications have been of legitimate commercial messages (that do resemble spam …