Mailman 3 September 2004 - spambayes-dev

RE: [spambayes-dev] 1.0 Build Testing (please!)
by Tony Meyer Sept. 19, 2004

Sept. 19, 2004

[Richie] > I don't know whether it's just me, but I can't download that. I go > the URL and a SourceForge download page appears, saying: > > Your download should begin shortly. If it does not, try > > http://ovh.dl.sourceforge.net/sourceforge/spambayes/spambayes-1.0.exe > or choose a different mirror > > If I wait, the page redirects back to itself. If I click that link, > it takes me to the same page again. If I choose a different mirror, I > get the same behaviour from that mirror. [Kenny] > It's not just you, I had the exact same result. Odd. It works with umn, but doesn't appear to work with any of the others. <http://prdownloads.sourceforge.net/spambayes/spambayes-1.0.exe?use_mirror=u mn> I'll play around with this a bit and try and figure out why this is, and update here once it's working properly. Sorry I didn't get to this during the weekend when people may have had more time... (And thanks for testing this much - otherwise there'd be 100 spambayes@python messages about this... ;) =Tony Meyer

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1.0 Build Testing (please!)
by Tony Meyer Sept. 19, 2004

Sept. 19, 2004

If you want something done... ;) I've put together a 1.0 binary release. Apart from the Inno file, this is exactly what's in CVS, and that's actually exactly what 1.0rc2 was anyway, apart from version numbers. However, this is the first time I've built the binary (Mark has in the past), although I've put together the last few source packages. I built it with OL2K, as one is meant to, and have tested sb_server & the plug-in on Win2K/OL2K and WinXP/OL2002. If anyone else has time to quickly test either sb_server or the plug-in, that would be fantastic. (A light test should be all that's needed, since it's really just the build/install process that needs to be tested). If all appears to be well (I can test it with one further system) then I'll probably update the website and send out the announce emails next week. Thanks! (If anyone wants to check the source dist's, feel free. They were built just like 1.0rc2 and prior, though, and also haven't had any non-version-number changes). <http://prdownloads.sourceforge.net/spambayes/spambayes-1.0.exe?download> <http://prdownloads.sourceforge.net/spambayes/spambayes-1.0.tar.gz?download> <http://prdownloads.sourceforge.net/spambayes/spambayes-1.0.zip?download> =Tony Meyer

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Suggested Feature?
by Brown Gabe Sept. 17, 2004

Sept. 17, 2004

In future versions of SpamBayes, do you think it would be a good idea to have a central repository that clients could connect incrementally to get updates on what spam is? I was thinking the server could have some sort of way to collect and find relationships between all user data and form rules based on all data from all users. This is a HUGE undertaking, but just a wild idea. Your thoughts? I've been using SpamBayes for over a year now and I love it! Great work guys! -Gabe

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Potential bug?
by Peter Cumming Sept. 17, 2004

Sept. 17, 2004

I installed SpamBayes under Windows XP and Outlook 2003. After I uninstalled it and rebooted, the icons still appeared for SpamBayes in Outlook. Also I could not delete the "Junk E-mail" folder. Even tried looking in the registry to know avail. Thanks for an update on this. Sincerely Peter

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RE: [spambayes-dev] Wittel/Wu article on statistical attacks
by Tony Meyer Sept. 17, 2004

Sept. 17, 2004

Results (using the script in my previous message, with only minor changes): Using a corpus made up of ham from the SA public archive and spam from there and the SpamArchive.org collection (randomly selected), as in the paper, with 3000+3000 toe, and the 10,000 common words referenced in the paper, I get worse results: (All SpamBayes defaults, basically current CVS code). Base message scores: 0.927778857491 Words Spam Ham Unsure 10 142 0 858 25 28 39 933 50 7 319 674 100 0 781 219 200 0 986 14 300 0 997 3 400 0 975 25 However, the base message's score is nowhere near certain spam, so it's not particularly surprising that adding random words drops the message into the unsures. I'm not sure why they end up ham rather than spam, though. Lacking headers is significant, of course. With a rough 'nonedge' training system, I get: Base message scores: 0.898231181245 Words Spam Ham Unsure 10 16 0 984 25 0 90 910 50 0 721 279 100 0 985 15 200 0 999 1 300 0 900 100 400 0 600 400 And with a rough 'fpfnunsure' training system, I get: Base message scores: 0.870322335645 Words Spam Ham Unsure 10 13 1 986 25 0 486 514 50 0 892 108 100 0 998 2 200 0 1000 0 300 0 992 8 400 0 625 375 Both of these seem to be heading back towards the message being unsure, rather than ham. However, if I use a ham/spam corpus of my own (but the same base message), then I get: [toe] Base message scores: 0.998165135488 Words Spam Ham Unsure 10 941 0 59 25 792 0 208 50 657 0 343 100 505 0 495 200 387 0 613 300 97 0 903 400 173 0 827 [nonedge] Base message scores: 0.987644137822 Words Spam Ham Unsure 10 847 0 153 25 751 0 249 50 706 0 294 100 719 0 281 200 840 0 160 300 904 0 96 400 954 0 46 [fpfnunsure] Base message scores: 0.999791130851 Words Spam Ham Unsure 10 981 0 19 25 894 0 106 50 817 0 183 100 780 0 220 200 823 0 177 300 865 0 135 400 918 0 82 These are probably more the results one would expect... =Tony Meyer

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RE: [spambayes-dev] Wittel/Wu article on statistical attacks
by Tony Meyer Sept. 16, 2004

Sept. 16, 2004

> Has anyone investigated the attack methods outlined in the > Wittel/Wu paper at the CEAS conference: > > http://ceas.cc/papers-2004/170.pdf > > It's not obvious to me why SpamBayes should have performed as > poorly as the authors indicated. In particular, they were > adding common dictionary words which should have just added > non-extreme words which should have for the most part been > ignored (spamprobs between 0.4 and 0.6). I had a little look at this when I first read the paper, but haven't had a chance to have a proper look at it. Concerns that I have: * It seems (it's not clear) that they did train-on-everything, which isn't great, particularly (I think) for this type of spam. * Mixed-corpus testing is not a good idea, and it appears that that's what's done here. * There's only a from and subject header in the base test message. That's losing a *lot* of header info. * The list of common English words is "slightly modified by removing spammy words". This means it's actually a list of words that they feel are hammy or neutral. It's hard to know how this effects it. Attached is a script I wrote to try and duplicate the test. I'm running this at the moment, but it's taking a while (I didn't write it for speed!), so I'll post results when I have them. If they do match Wittel/Wu, then I might have a look to see if different training methods have an effect or not. Suggestions for improvements in the script (or errors!) are welcome, of course. There are a few hard-coded locations, but it should be simple enough to make sense of. =Tony Meyer

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Filtering deleted messages...
by Jorge A. Gonzalez Sept. 11, 2004

Sept. 11, 2004

Spambayes should not filter deleted messages or there should be an option not to filter deleted messages. Recently, my company saw a huge increase in spamming to our accounts, about 8,000 messages a day. Spambayes would only catch a small number of these since emails would come in at a large number at once. I noticed that Spambayes took a really long time to filter my messages when I only had 1,000 or so messages to sort though. Then I noticed that I had a large number of deleted messages in my inbox. Once I purged the deleted messages, filtering time was drastically decreased. Also, for some reason Spambayes can not process large number of emails when received. I noticed that if the total number of incoming emails exceeds 30 or so emails, Spambayes does not filter them. Jorge A. Gonzalez Web Engineer

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Listas de e-mail para mala direta
by Lucy Carmo Sept. 9, 2004

Sept. 9, 2004

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Wittel/Wu article on statistical attacks
by Skip Montanaro Sept. 9, 2004

Sept. 9, 2004

Has anyone investigated the attack methods outlined in the Wittel/Wu paper at the CEAS conference: http://ceas.cc/papers-2004/170.pdf It's not obvious to me why SpamBayes should have performed as poorly as the authors indicated. In particular, they were adding common dictionary words which should have just added non-extreme words which should have for the most part been ignored (spamprobs between 0.4 and 0.6). Skip

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Quality link request
by Mindy Sept. 7, 2004

Sept. 7, 2004

Hello, I found your website http://mail.python.org on Google. Your website has content related to ours at www.water-splash.co.uk. This is a quality website and is well ranked on Google. We are happy to upload a link onto this website in any way you request in exchange for a return link. I'm sure you appreciate that this would be of great benefit to us both. To go ahead with this exchange please upload our link information below to your links page. Then drop me an email to let me know where you have uploaded it. If you would like your return link presenting in a particular way please include this information in your email. I will then arrange for your link to be uploaded and email you again the let you know. Thank you. Regards Mindy Our link Info: Link Text: Water Cooler Description: Plumbed in pure chilled filtered water coolers and fountains. URL: http://www.water-splash.co.uk Our link html: <<-- begin html -->> <a href="http://www.water-splash.co.uk">Water Cooler</a> <BR> Plumbed in pure chilled filtered water coolers and fountains. <<-- end html -->>

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