[SACVS] CVS: spamassassin sa-learn.raw,1.30,1.31

Update of /cvsroot/spamassassin/spamassassin
In directory sc8-pr-cvs1:/tmp/cvs-serv29837

Modified Files:
        sa-learn.raw 
Log Message:
bug 2460: ArchiveIterator.pm: insecure dependency in glob in taint-mode


Index: sa-learn.raw
===================================================================
RCS file: /cvsroot/spamassassin/spamassassin/sa-learn.raw,v
retrieving revision 1.30
retrieving revision 1.31
diff -b -w -u -d -r1.30 -r1.31
--- sa-learn.raw        28 Aug 2003 21:39:30 -0000      1.30
+++ sa-learn.raw        15 Sep 2003 22:59:24 -0000      1.31
@@ -93,12 +93,13 @@
 Simply run this command once for each of your mail folders, and it will
 ''learn'' from the mail therein.
 
-Note that I<globbing> in the mail folder names is supported; in other words,
-listing a folder name as C<*> will scan every folder that matches.
+Note that I<globbing> in the mail folder names is supported (except when
+using perl 5.005 in taint-mode); in other words, listing a folder name
+as C<*> will scan every folder that matches.
 
 SpamAssassin remembers which mail messages it's learnt already, and will not
-re-learn those messages again, unless you use the B<--forget> option.   
Messages
-learnt as spam will have SpamAssassin markup removed, on the fly.
+re-learn those messages again, unless you use the B<--forget> option.
+Messages learnt as spam will have SpamAssassin markup removed, on the fly.
 
 If you make a mistake and scan a mail as ham when it is spam, or vice
 versa, simply rerun this command with the correct classification, and the
@@ -173,8 +174,8 @@
 
 I suggest several thousand of each, placed in SPAM and HAM directories or
 mailboxes.  Yes, you MUST hand-sort this - otherwise the results won't be much
-better than SpamAssassin on its own. Verify the spamminess/haminess of
-EVERY message.  You're urged to avoid using a publicly available corpus 
(sample) -
+better than SpamAssassin on its own. Verify the spamminess/haminess of EVERY
+message.  You're urged to avoid using a publicly available corpus (sample) -
 this must be taken from YOUR mail server, if it's to be statistically useful.
 Otherwise, the results may be pretty skewed.
 



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