dspam: changed to only train on error
per suggestions by the dspam author
This commit is contained in:
Matt Simerson
parent
01c994439b
commit
3db3565144
197
plugins/dspam
197
plugins/dspam
@ -18,13 +18,13 @@ contain a probability and confidence rating.
|
||||
|
||||
=head1 TRAINING DSPAM
|
||||
|
||||
Do not just enable dspam! Its false positive rate when untrained is high. The
|
||||
good news is; dspam learns very, very fast.
|
||||
If you enable dspam rejection without training first, you will lose valid
|
||||
mail. The dspam false positive rate is high when untrained. The good news is;
|
||||
dspam learns very, very fast.
|
||||
|
||||
To get dspam into a useful state, it must be trained. The best method way to
|
||||
train dspam is to feed it two large equal sized corpuses of spam and ham from
|
||||
your mail server. The dspam authors suggest avoiding public corpuses. I train
|
||||
dspam as follows:
|
||||
The best method way to train dspam is to feed it two large equal sized
|
||||
corpuses of spam and ham from your mail server. The dspam authors suggest
|
||||
avoiding public corpuses. I train dspam as follows:
|
||||
|
||||
=over 4
|
||||
|
||||
@ -70,7 +70,7 @@ learn messages with negative karma as spam (see plugins/karma)
|
||||
|
||||
=item spamassassin
|
||||
|
||||
learn from spamassassins messages with autolearn=(ham|spam)
|
||||
learn from spamassassins messages with autolearn=(ham|spam). See SPAMASSASSIN.
|
||||
|
||||
=item any
|
||||
|
||||
@ -135,7 +135,7 @@ after delivery (ie, users moving messages to/from spam folders), then the
|
||||
dspam signature must be in the headers.
|
||||
|
||||
When using the dspam MySQL backend, use InnoDB tables. DSPAM training
|
||||
is dramatically slowed by MyISAM table locks and dspam requires lots
|
||||
is dramatically slowed by MyISAM table locks and dspam requires a lot
|
||||
of training. InnoDB has row level locking and updates are much faster.
|
||||
|
||||
=head1 DSPAM periodic maintenance
|
||||
@ -144,8 +144,6 @@ Install this cron job to clean up your DSPAM database.
|
||||
|
||||
http://dspam.git.sourceforge.net/git/gitweb.cgi?p=dspam/dspam;a=tree;f=contrib/dspam_maintenance;hb=HEAD
|
||||
|
||||
|
||||
|
||||
=head1 SPAMASSASSIN
|
||||
|
||||
DSPAM can be trained by SpamAssassin. This relationship between them requires
|
||||
@ -164,13 +162,14 @@ reduce the SA load.
|
||||
|
||||
=item 2
|
||||
|
||||
Autolearn must be enabled and configured in SpamAssassin. SA autolearn will
|
||||
For I<autolearn spamassassin> to work, autolearn must be enabled and
|
||||
configured in SpamAssassin. SA autolearn will
|
||||
determine if a message is learned by dspam. The settings to pay careful
|
||||
attention to in your SA local.cf file are I<bayes_auto_learn_threshold_spam>
|
||||
and I<bayes_auto_learn_threshold_nonspam>. Make sure they are set to
|
||||
conservative values that will yield no false positives.
|
||||
|
||||
If you are using I<autolearn spamassassin> and reject, messages that exceed
|
||||
If you are using I<autolearn spamassassin> and I<reject>, messages that exceed
|
||||
the SA threshholds will cause dspam to reject them. Again I say, make sure
|
||||
the SA autolearn threshholds are set high enough to avoid false positives.
|
||||
|
||||
@ -207,7 +206,7 @@ use IO::Handle;
|
||||
use Socket qw(:DEFAULT :crlf);
|
||||
|
||||
sub register {
|
||||
my ($self, $qp) = shift, shift;
|
||||
my ($self, $qp) = (shift, shift);
|
||||
|
||||
$self->log(LOGERROR, "Bad parameters for the dspam plugin") if @_ % 2;
|
||||
|
||||
@ -222,7 +221,6 @@ sub data_post_handler {
|
||||
my $self = shift;
|
||||
my $transaction = shift || $self->qp->transaction;
|
||||
|
||||
$self->autolearn( $transaction );
|
||||
return (DECLINED) if $self->is_immune();
|
||||
|
||||
if ( $transaction->data_size > 500_000 ) {
|
||||
@ -231,16 +229,18 @@ sub data_post_handler {
|
||||
};
|
||||
|
||||
my $username = $self->select_username( $transaction );
|
||||
my $filtercmd = $self->get_filter_cmd( $transaction, $username );
|
||||
my $dspam_bin = $self->{_args}{dspam_bin} || '/usr/local/bin/dspam';
|
||||
my $filtercmd = "$dspam_bin --user $username --mode=tum --process --deliver=summary --stdout";
|
||||
$self->log(LOGDEBUG, $filtercmd);
|
||||
|
||||
my $response = $self->dspam_process( $filtercmd, $transaction );
|
||||
if ( ! $response ) {
|
||||
if ( ! $response->{result} ) {
|
||||
$self->log(LOGWARN, "skip, no dspam response. Check logs for errors.");
|
||||
return (DECLINED);
|
||||
};
|
||||
|
||||
$self->attach_headers( $response, $transaction );
|
||||
$self->autolearn( $response, $transaction );
|
||||
|
||||
return $self->log_and_return( $transaction );
|
||||
};
|
||||
@ -279,8 +279,26 @@ sub assemble_message {
|
||||
sub dspam_process {
|
||||
my ( $self, $filtercmd, $transaction ) = @_;
|
||||
|
||||
return $self->dspam_process_backticks( $filtercmd );
|
||||
#return $self->dspam_process_open2( $filtercmd, $transaction );
|
||||
my $dspam_response = $self->dspam_process_backticks( $filtercmd );
|
||||
#my $dspam_response = $self->dspam_process_open2( $filtercmd, $transaction );
|
||||
#my $dspam_response = $self->dspam_process_fork( $filtercmd );
|
||||
|
||||
# X-DSPAM-Result: user@example.com; result="Spam"; class="Spam"; probability=1.0000; confidence=1.00; signature=N/A
|
||||
# X-DSPAM-Result: smtpd; result="Innocent"; class="Innocent"; probability=0.0023; confidence=1.00; signature=4f8dae6a446008399211546
|
||||
my ($r, $p, $c, $s)
|
||||
= $dspam_response
|
||||
=~ /result=\"(Spam|Innocent)\";.*?probability=([\d\.]+); confidence=([\d\.]+); signature=(.*)/;
|
||||
|
||||
return {
|
||||
result => $r,
|
||||
probability => $p,
|
||||
confidence => $c,
|
||||
signature => $s,
|
||||
};
|
||||
};
|
||||
|
||||
sub dspam_process_fork {
|
||||
my ( $self, $filtercmd, $transaction ) = @_;
|
||||
|
||||
# yucky. This method (which forks) exercises a bug in qpsmtpd. When the
|
||||
# child exits, the Transaction::DESTROY method is called, which deletes
|
||||
@ -305,7 +323,6 @@ sub dspam_process_backticks {
|
||||
my ( $self, $filtercmd ) = @_;
|
||||
|
||||
my $filename = $self->qp->transaction->body_filename;
|
||||
#my $response = `cat $filename | $filtercmd`; chomp $response;
|
||||
my $response = `$filtercmd < $filename`; chomp $response;
|
||||
$self->log(LOGDEBUG, $response);
|
||||
return $response;
|
||||
@ -450,46 +467,11 @@ sub get_dspam_results {
|
||||
return \%d;
|
||||
};
|
||||
|
||||
sub get_filter_cmd {
|
||||
my ($self, $transaction, $user) = @_;
|
||||
|
||||
my $dspam_bin = $self->{_args}{dspam_bin} || '/usr/local/bin/dspam';
|
||||
my $default = "$dspam_bin --user $user --mode=tum --process --deliver=summary --stdout";
|
||||
|
||||
my $learn = $self->{_args}{autolearn} or return $default;
|
||||
return $default if ( $learn ne 'spamassassin' && $learn ne 'any' );
|
||||
|
||||
$self->log(LOGDEBUG, "attempting to learn from SA");
|
||||
|
||||
my $sa = $transaction->notes('spamassassin' );
|
||||
if ( ! $sa || ! $sa->{is_spam} ) {
|
||||
$self->log(LOGERROR, "SA results missing");
|
||||
return $default;
|
||||
};
|
||||
|
||||
if ( ! $sa->{autolearn} ) {
|
||||
$self->log(LOGERROR, "SA autolearn unset");
|
||||
return $default;
|
||||
};
|
||||
|
||||
if ( $sa->{is_spam} eq 'Yes' && $sa->{autolearn} eq 'spam' ) {
|
||||
return "$dspam_bin --user $user --mode=tum --source=corpus --class=spam --deliver=summary --stdout";
|
||||
}
|
||||
elsif ( $sa->{is_spam} eq 'No' && $sa->{autolearn} eq 'ham' ) {
|
||||
return "$dspam_bin --user $user --mode=tum --source=corpus --class=innocent --deliver=summary --stdout";
|
||||
};
|
||||
|
||||
return $default;
|
||||
};
|
||||
|
||||
sub attach_headers {
|
||||
my ($self, $response, $transaction) = @_;
|
||||
my ($self, $r, $transaction) = @_;
|
||||
$transaction ||= $self->qp->transaction;
|
||||
|
||||
# X-DSPAM-Result: user@example.com; result="Spam"; class="Spam"; probability=1.0000; confidence=1.00; signature=N/A
|
||||
# X-DSPAM-Result: smtpd; result="Innocent"; class="Innocent"; probability=0.0023; confidence=1.00; signature=4f8dae6a446008399211546
|
||||
my ($result,$prob,$conf,$sig) = $response =~ /result=\"(Spam|Innocent)\";.*?probability=([\d\.]+); confidence=([\d\.]+); signature=(.*)/;
|
||||
my $header_str = "$result, probability=$prob, confidence=$conf";
|
||||
my $header_str = "$r->{result}, probability=$r->{probability}, confidence=$r->{confidence}";
|
||||
$self->log(LOGDEBUG, $header_str);
|
||||
my $name = 'X-DSPAM-Result';
|
||||
$transaction->header->delete($name) if $transaction->header->get($name);
|
||||
@ -497,49 +479,108 @@ sub attach_headers {
|
||||
|
||||
# the signature header is required if you intend to train dspam later.
|
||||
# In dspam.conf, set: Preference "signatureLocation=headers"
|
||||
$transaction->header->add('X-DSPAM-Signature', $sig, 0);
|
||||
$transaction->header->add('X-DSPAM-Signature', $r->{signature}, 0);
|
||||
};
|
||||
|
||||
sub learn_as_ham {
|
||||
sub train_error_as_ham {
|
||||
my $self = shift;
|
||||
my $transaction = shift;
|
||||
|
||||
my $user = $self->select_username( $transaction );
|
||||
my $dspam_bin = $self->{_args}{dspam_bin} || '/usr/local/bin/dspam';
|
||||
my $cmd = "$dspam_bin --user $user --mode=tum --source=corpus --class=innocent --deliver=summary --stdout";
|
||||
my $cmd = "$dspam_bin --user $user --mode=toe --source=error --class=innocent --deliver=summary --stdout";
|
||||
$self->dspam_process( $cmd, $transaction );
|
||||
};
|
||||
|
||||
sub learn_as_spam {
|
||||
sub train_error_as_spam {
|
||||
my $self = shift;
|
||||
my $transaction = shift;
|
||||
|
||||
my $user = $self->select_username( $transaction );
|
||||
my $dspam_bin = $self->{_args}{dspam_bin} || '/usr/local/bin/dspam';
|
||||
my $cmd = "$dspam_bin --user $user --mode=tum --source=corpus --class=spam --deliver=summary --stdout";
|
||||
my $cmd = "$dspam_bin --user $user --mode=toe --source=error --class=spam --deliver=summary --stdout";
|
||||
$self->dspam_process( $cmd, $transaction );
|
||||
};
|
||||
|
||||
sub autolearn {
|
||||
my ( $self, $transaction ) = @_;
|
||||
my ( $self, $response, $transaction ) = @_;
|
||||
|
||||
defined $self->{_args}{autolearn} or return;
|
||||
|
||||
$self->autolearn_naughty( $response, $transaction ) and return;
|
||||
$self->autolearn_karma( $response, $transaction ) and return;
|
||||
$self->autolearn_spamassassin( $response, $transaction ) and return;
|
||||
};
|
||||
|
||||
sub autolearn_naughty {
|
||||
my ( $self, $response, $transaction ) = @_;
|
||||
|
||||
my $learn = $self->{_args}{autolearn} or return;
|
||||
|
||||
if ( $learn eq 'naughty' || $learn eq 'any' ) {
|
||||
if ( $self->connection->notes('naughty') ) {
|
||||
$self->log(LOGINFO, "training naughty as spam");
|
||||
$self->learn_as_spam( $transaction );
|
||||
};
|
||||
};
|
||||
if ( $learn eq 'karma' || $learn eq 'any' ) {
|
||||
my $karma = $self->connection->notes('karma');
|
||||
if ( defined $karma && $karma <= -1 ) {
|
||||
$self->log(LOGINFO, "training poor karma as spam");
|
||||
$self->learn_as_spam( $transaction );
|
||||
};
|
||||
if ( defined $karma && $karma >= 1 ) {
|
||||
$self->log(LOGINFO, "training good karma as ham");
|
||||
$self->learn_as_ham( $transaction );
|
||||
};
|
||||
return if ( $learn ne 'naughty' && $learn ne 'any' );
|
||||
|
||||
if ( $self->connection->notes('naughty') && $response->{result} eq 'Innocent' ) {
|
||||
$self->log(LOGINFO, "training naughty FN message as spam");
|
||||
$self->train_error_as_spam( $transaction );
|
||||
return 1;
|
||||
};
|
||||
|
||||
return;
|
||||
};
|
||||
|
||||
sub autolearn_karma {
|
||||
my ( $self, $response, $transaction ) = @_;
|
||||
|
||||
my $learn = $self->{_args}{autolearn} or return;
|
||||
|
||||
return if ( $learn ne 'karma' && $learn ne 'any' );
|
||||
|
||||
my $karma = $self->connection->notes('karma');
|
||||
return if ! defined $karma;
|
||||
|
||||
if ( $karma <= -1 && $response->{result} eq 'Innocent' ) {
|
||||
$self->log(LOGINFO, "training bad karma FN as spam");
|
||||
$self->train_error_as_spam( $transaction );
|
||||
return 1;
|
||||
};
|
||||
|
||||
if ( $karma >= 1 && $response->{result} eq 'Spam' ) {
|
||||
$self->log(LOGINFO, "training good karma FP as ham");
|
||||
$self->train_error_as_ham( $transaction );
|
||||
return 1;
|
||||
};
|
||||
|
||||
return;
|
||||
};
|
||||
|
||||
sub autolearn_spamassassin {
|
||||
my ( $self, $response, $transaction ) = @_;
|
||||
|
||||
my $learn = $self->{_args}{autolearn} or return;
|
||||
|
||||
return if ( $learn ne 'spamassassin' && $learn ne 'any' );
|
||||
|
||||
my $sa = $transaction->notes('spamassassin' );
|
||||
if ( ! $sa || ! $sa->{is_spam} ) {
|
||||
$self->log(LOGERROR, "SA results missing");
|
||||
return;
|
||||
};
|
||||
|
||||
if ( ! $sa->{autolearn} ) {
|
||||
$self->log(LOGERROR, "SA autolearn unset");
|
||||
return;
|
||||
};
|
||||
|
||||
if ( $sa->{is_spam} eq 'Yes' && $sa->{autolearn} eq 'spam' && $response->{result} eq 'Innocent' ) {
|
||||
$self->log(LOGINFO, "training spamassassin FN as spam");
|
||||
$self->train_error_as_spam( $transaction );
|
||||
return 1;
|
||||
}
|
||||
elsif ( $sa->{is_spam} eq 'No' && $sa->{autolearn} eq 'ham' && $response->{result} eq 'Spam' ) {
|
||||
$self->log(LOGINFO, "training spamassassin FP as ham");
|
||||
$self->train_error_as_ham( $transaction );
|
||||
return 1;
|
||||
};
|
||||
|
||||
return;
|
||||
};
|
||||
|
||||
@ -11,7 +11,6 @@ my $r;
|
||||
sub register_tests {
|
||||
my $self = shift;
|
||||
|
||||
$self->register_test('test_get_filter_cmd', 5);
|
||||
$self->register_test('test_get_dspam_results', 6);
|
||||
$self->register_test('test_log_and_return', 6);
|
||||
$self->register_test('test_reject_type', 3);
|
||||
@ -83,36 +82,6 @@ sub test_get_dspam_results {
|
||||
};
|
||||
};
|
||||
|
||||
sub test_get_filter_cmd {
|
||||
my $self = shift;
|
||||
|
||||
my $transaction = $self->qp->transaction;
|
||||
my $dspam = "/usr/local/bin/dspam";
|
||||
$self->{_args}{dspam_bin} = $dspam;
|
||||
$self->{_args}{autolearn} = 'spamassassin';
|
||||
|
||||
foreach my $user ( qw/ smtpd matt@example.com / ) {
|
||||
my $answer = "$dspam --user smtpd --mode=tum --process --deliver=summary --stdout";
|
||||
my $r = $self->get_filter_cmd($transaction, 'smtpd');
|
||||
cmp_ok( $r, 'eq', $answer, "$user" );
|
||||
};
|
||||
|
||||
$transaction->notes('spamassassin', { is_spam => 'No', autolearn => 'ham' } );
|
||||
my $r = $self->get_filter_cmd($transaction, 'smtpd');
|
||||
cmp_ok( $r, 'eq', "$dspam --user smtpd --mode=tum --source=corpus --class=innocent --deliver=summary --stdout",
|
||||
"smtpd, ham" );
|
||||
|
||||
$transaction->notes('spamassassin', { is_spam => 'Yes', autolearn => 'spam', score => 110 } );
|
||||
$r = $self->get_filter_cmd($transaction, 'smtpd');
|
||||
cmp_ok( $r, 'eq', "$dspam --user smtpd --mode=tum --source=corpus --class=spam --deliver=summary --stdout",
|
||||
"smtpd, spam" );
|
||||
|
||||
$transaction->notes('spamassassin', { is_spam => 'No', autolearn => 'spam' } );
|
||||
$r = $self->get_filter_cmd($transaction, 'smtpd');
|
||||
cmp_ok( $r, 'eq', "$dspam --user smtpd --mode=tum --process --deliver=summary --stdout",
|
||||
"smtpd, spam" );
|
||||
};
|
||||
|
||||
sub test_reject_type {
|
||||
my $self = shift;
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user