SpamAssassin

>Some other "negative" scores that I find odd:
>
>SPAM: LOW_PRICE          (-1.2 points) BODY: Lowest Price
>SPAM: HTML_FONT_COLOR_RED (-1.2 points) BODY: HTML font color is red
>SPAM: BIG_FONT           (-0.4 points) BODY: FONT Size +2 and up or 3 and up

I also saw these curious negatives while evaluating the SpamAssassin reports in
"caught spam" as well as the "near misses" (things that got through).  They seemed
counterintuitive when I looked them up on the website's lists of tests and I felt
that most should in fact be positive since they were signs of spam.

I understand that the scores are generated by a genetic algorithm that scans a test
archive of spams and derives the scores -- but that doesn't mean that a little
seat-of-the-pants intuition by the administrator can't come into play. :-)  I grepped
for all the negatives and overrode them with positive scores in my local.cf file.  In
each case I tried to pick a score that "made sense" although I freely admit that I
could be off base in many cases.  Truth is I'm still in the process of tuning them so
that I don't get false positives.

For what it's worth, here is the list that I inserted in my local.cf -- take these
with as many grains of salt as you wish.  They seem to be working fairly well for me
so far, although it's become clear that some of the point scores are a little
overzealously high and could be lowered.  (I think I assigned these point values
during a bout of especially high anti-spam fever, so...)

The point is, these are the ones that were negative in the stock scores that really
seem like they should be positive.

# Overrides on scores that GA made nonsensically negative

score AUTO_EMAIL_REMOVAL              3.0
score BIG_BUCKS                       1.5
score BIG_FONT                        1.5
score BUGGY_CGI                       5.0
score CABLE_CONVERTER                 3.5
score CALL_FREE                       0.5
score CONGRATULATIONS                 1.0
score COUPON                          3.5
score CREDITORS_CALLING               2.5
score CREDIT_BUREAU                   2.5
score DEAR_SOMEBODY                   1.0
score DEAR_SOMETHING                  1.0
score DISCLAIMER_LEGALESE             2.5
score DONT_DELETE                     5.0
score EXCUSE_14                       3.0
score EXCUSE_15                       3.0
score EXCUSE_16                       3.0
score EXCUSE_17                       2.0
score FOR_JUST_SOME_AMT               2.5
score FREE_ACCESS                     3.5
score FREE_DVD                        4.5
score FREE_QUOTE                      4.5
score FREE_WEBSITE                    4.5
score FROM_HAS_MIXED_NUMS             2.5
score FROM_US_PHONE                   2.5
score GET_PAID                        2.5
score GET_STARTED_NOW                 3.5
score HIDDEN_ASSETS                   4.5
score HTML_50_70                      1.0
score HTML_COMMENT_UNIQUE_ID          4.5
score HTML_FONT_COLOR_GRAY            0.5
score HTML_FONT_COLOR_RED             0.5
score HTML_FONT_COLOR_UNSAFE          1.0
score HTML_FONT_FACE_ODD              0.5
score HTML_WIN_OPEN                   4.5
score HTTP_NUMBER_WORD                2.5
score INSTANT_ACCESS                  2.5
score JAVASCRIPT                      2.0
score JAVASCRIPT_UNSAFE               4.5
score JAVASCRIPT_URI                  4.0
score LIMITED_TIME_ONLY               3.0
score LINES_OF_YELLING_2              1.0
score LINES_OF_YELLING_3              1.0
score LOW_PRICE                       2.5
score MAILTO_LINK                     0.5
score MIME_BOUND_DIGITS_2             2.5
score MIME_MISSING_BOUNDARY           3.0
score NO_CATCH                        4.5
score NO_REAL_NAME                    1.0
score PLEASE_READ                     4.0
score PROFITS                         2.0
score RATWARE_MBOMBER                 5.5
score RATWARE_SCREWUP_2               5.5
score RESERVES_RIGHT                  2.0
score SAVINGS                         2.0
score SPAM_PHRASE_00_01               0.5
score SPAM_PHRASE_01_02               0.75
score SPAM_PHRASE_02_03               1.0
score SPAM_PHRASE_03_05               1.5
score SPAM_PHRASE_05_08               2.0
score SPAM_PHRASE_08_13               2.5
score SPAM_PHRASE_13_21               3.0
score SPAM_PHRASE_21_34               3.5
score SPAM_PHRASE_34_55               4.0
score SPAM_PHRASE_55_XX               5.0
score SUBJ_ENDS_IN_SPACE              2.0
score SUPERLONG_LINE                  2.5
score SUSPECT_LIST_HEADERS            3.5
score TONER                           6.0
score TO_EMPTY                        6.0
score TO_MALFORMED                    6.0
score UNIVERSITY_DIPLOMAS             6.0
score US_DOLLARS_2                    6.0
score WINNER                          2.0
score WINNER_CAP                      2.0
score WRINKLES                        5.0
score WWW_REMOVEYOU_COM               5.0

Thanks - yes, I've come across some other odd ones looking at the list and =
since posting my first message I have adjusted some myself manually.  Your =
list makes it easier to think about - thanks!

I just wish there was a way now to compensate for the "spam" message being =
mosty in the graphic linked in the HTML file.

As a totally off-topic aside - am I the only female who posts to this =
list?  The last time I posted about a month ago someone referred to me as =
"he" - so I'm feeling very geeky <g>.

Danita

>>> "Chris Powell" <chris@...> 9/27/2002 9:48:39 AM >>>
>Some other "negative" scores that I find odd:
>
>SPAM: LOW_PRICE          (-1.2 points) BODY: Lowest Price
>SPAM: HTML_FONT_COLOR_RED (-1.2 points) BODY: HTML font color is red
>SPAM: BIG_FONT           (-0.4 points) BODY: FONT Size +2 and up or 3 and =
up

I also saw these curious negatives while evaluating the SpamAssassin =
reports in
"caught spam" as well as the "near misses" (things that got through).  =
They seemed
counterintuitive when I looked them up on the website's lists of tests and =
I felt
that most should in fact be positive since they were signs of spam.

I understand that the scores are generated by a genetic algorithm that =
scans a test
archive of spams and derives the scores -- but that doesn't mean that a =
little
seat-of-the-pants intuition by the administrator can't come into play. :-) =
 I grepped
for all the negatives and overrode them with positive scores in my =
local.cf file.  In
each case I tried to pick a score that "made sense" although I freely =
admit that I
could be off base in many cases.  Truth is I'm still in the process of =
tuning them so
that I don't get false positives.

For what it's worth, here is the list that I inserted in my local.cf -- =
take these
with as many grains of salt as you wish.  They seem to be working fairly =
well for me
so far, although it's become clear that some of the point scores are a =
little
overzealously high and could be lowered.  (I think I assigned these point =
values
during a bout of especially high anti-spam fever, so...)

The point is, these are the ones that were negative in the stock scores =
that really
seem like they should be positive.

# Overrides on scores that GA made nonsensically negative

score AUTO_EMAIL_REMOVAL              3.0
score BIG_BUCKS                       1.5
score BIG_FONT                        1.5
score BUGGY_CGI                       5.0
score CABLE_CONVERTER                 3.5
score CALL_FREE                       0.5
score CONGRATULATIONS                 1.0
score COUPON                          3.5
score CREDITORS_CALLING               2.5
score CREDIT_BUREAU                   2.5
score DEAR_SOMEBODY                   1.0
score DEAR_SOMETHING                  1.0
score DISCLAIMER_LEGALESE             2.5
score DONT_DELETE                     5.0
score EXCUSE_14                       3.0
score EXCUSE_15                       3.0
score EXCUSE_16                       3.0
score EXCUSE_17                       2.0
score FOR_JUST_SOME_AMT               2.5
score FREE_ACCESS                     3.5
score FREE_DVD                        4.5
score FREE_QUOTE                      4.5
score FREE_WEBSITE                    4.5
score FROM_HAS_MIXED_NUMS             2.5
score FROM_US_PHONE                   2.5
score GET_PAID                        2.5
score GET_STARTED_NOW                 3.5
score HIDDEN_ASSETS                   4.5
score HTML_50_70                      1.0
score HTML_COMMENT_UNIQUE_ID          4.5
score HTML_FONT_COLOR_GRAY            0.5
score HTML_FONT_COLOR_RED             0.5
score HTML_FONT_COLOR_UNSAFE          1.0
score HTML_FONT_FACE_ODD              0.5
score HTML_WIN_OPEN                   4.5
score HTTP_NUMBER_WORD                2.5
score INSTANT_ACCESS                  2.5
score JAVASCRIPT                      2.0
score JAVASCRIPT_UNSAFE               4.5
score JAVASCRIPT_URI                  4.0
score LIMITED_TIME_ONLY               3.0
score LINES_OF_YELLING_2              1.0
score LINES_OF_YELLING_3              1.0
score LOW_PRICE                       2.5
score MAILTO_LINK                     0.5
score MIME_BOUND_DIGITS_2             2.5
score MIME_MISSING_BOUNDARY           3.0
score NO_CATCH                        4.5
score NO_REAL_NAME                    1.0
score PLEASE_READ                     4.0
score PROFITS                         2.0
score RATWARE_MBOMBER                 5.5
score RATWARE_SCREWUP_2               5.5
score RESERVES_RIGHT                  2.0
score SAVINGS                         2.0
score SPAM_PHRASE_00_01               0.5
score SPAM_PHRASE_01_02               0.75
score SPAM_PHRASE_02_03               1.0
score SPAM_PHRASE_03_05               1.5
score SPAM_PHRASE_05_08               2.0
score SPAM_PHRASE_08_13               2.5
score SPAM_PHRASE_13_21               3.0
score SPAM_PHRASE_21_34               3.5
score SPAM_PHRASE_34_55               4.0
score SPAM_PHRASE_55_XX               5.0
score SUBJ_ENDS_IN_SPACE              2.0
score SUPERLONG_LINE                  2.5
score SUSPECT_LIST_HEADERS            3.5
score TONER                           6.0
score TO_EMPTY                        6.0
score TO_MALFORMED                    6.0
score UNIVERSITY_DIPLOMAS             6.0
score US_DOLLARS_2                    6.0
score WINNER                          2.0
score WINNER_CAP                      2.0
score WRINKLES                        5.0
score WWW_REMOVEYOU_COM               5.0

> >Some other "negative" scores that I find odd:
> >
> >SPAM: LOW_PRICE          (-1.2 points) BODY: Lowest Price
> >SPAM: HTML_FONT_COLOR_RED (-1.2 points) BODY: HTML font color is red
> >SPAM: BIG_FONT           (-0.4 points) BODY: FONT Size +2 and up
> or 3 and up

The 2.42 scores for these are:
score LOW_PRICE                      0.301
score HTML_FONT_COLOR_RED            0.319
score BIG_FONT                       0.315

> I understand that the scores are generated by a genetic algorithm that
scans a test
> archive of spams and derives the scores -- but that doesn't mean that a
little
> seat-of-the-pants intuition by the administrator can't come into play. :-)
I grepped
> for all the negatives and overrode them with positive scores in my
local.cf file.  In
> each case I tried to pick a score that "made sense" although I freely
admit that I
> could be off base in many cases.  Truth is I'm still in the  process of
tuning them so
> that I don't get false positives.

I used to do the same thing with any really out-of-bounds scores. Keep in
mind, first of all, that many of the scores were meant to be negative,
non-spam signs. Second, here's something to think about. After I made lots
of local changes to the 2.41 scores, I ran a mass-check on my own spam
corpus to test it, and invariably, I got *more* false positives.

More importantly, the GA has been fixed and the 2.42 scores solve most of
the problems you're talking about.

I even have a script that analyzes the GA results and calculates a
reasonable score for each rule based on how much spam and nonspam it
matched, compares that with the GA-assigned score, and gives me a list of
new scores to override any suspicious scores.

When I ran this script on the 2.42 scores, there were virtually no results -
most of the scores are right where they belong. Additionally, they give me
better results on my test corpus than any manually-corrected scores. Thus
I'm currently not correcting any of the GA scores.

> The point is, these are the ones that were negative in the stock
> scores that really seem like they should be positive.

These are virtually all fixed in the new scores, and using those will get
you much better results than making up your own scores. Wait for the 2.42
release in a few days and you'll be happy.

--
Michael Moncur  mgm at starlingtech.com  http://www.starlingtech.com/
"Fortune does not change men, it unmasks them." --Suzanne Necker

Danita Zanre <danita@...> [2002-09-27 10:10:04 -0600]:
> As a totally off-topic aside - am I the only female who posts to this lis=
t?=20
> The last time I posted about a month ago someone referred to me as "he" -=
=20
> so I'm feeling very geeky <g>.

Does mistaken identity have anything to do with being geeky?  English
just lacks a generic pronoun and everyone will be caught in that
problem at some time or another.  One of the reasons I take the easy
way out and avoid those when I can.  And, very unfortunately, you look
the same on my text display as everyone else's text looks.  However,
for most of us guys that is a good thing.  :-) Therefore mistaken
identities are common, especially if someone is fast and furious with
the keyboard.

Fortunately being geeky is an in thing today.  Maybe not as much today
that so many .coms have crashed and the tech market is down, I am
confident it will swing back up again.  But so far it is still okay to
walk down the street with a ThinkGeek t-shirt on loudly proclaiming to
the world your technical proclivity.  And it is only getting more so
as technology becomes more and more a part of everyone's lives.
Proud to be a geek!

Bob

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