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|
#!/usr/bin/env perl
use 5.010;
use Data::Dumper;
use Getopt::Long;
use Pod::Usage;
use Time::Local;
use warnings;
use strict;
my @symbols_search;
my @symbols_exclude;
my @symbols_bidirectional;
my $reject_score = 15.0;
my $junk_score = 6.0;
my $diff_alpha = 0.1;
my $correlations = 0;
my $log_file = "";
my $search_pattern = "";
my $startTime="";
my $endTime;
my $num_logs;
my $exclude_logs = 0;
my $man = 0;
my $json = 0;
my $help = 0;
# Associate file extensions with decompressors
my %decompressor = (
'bz2' => 'bzip2 -cd',
'gz' => 'gzip -cd',
'xz' => 'xz -cd',
'zst' => 'zstd -cd',
);
GetOptions(
"reject-score|r=f" => \$reject_score,
"junk-score|j=f" => \$junk_score,
"symbol|s=s@" => \@symbols_search,
"symbol-bidir|S=s@" => \@symbols_bidirectional,
"exclude|X=s@" => \@symbols_exclude,
"log|l=s" => \$log_file,
"alpha-score|alpha|a=f" => \$diff_alpha,
"correlations|c" => \$correlations,
"search-pattern=s" => \$search_pattern,
"start=s" => \$startTime,
"end=s" => \$endTime,
"num-logs|n=i" => \$num_logs,
"exclude-logs|x=i" => \$exclude_logs,
"json|j" => \$json,
"help|?" => \$help,
"man" => \$man
) or pod2usage(2);
pod2usage(1) if $help;
pod2usage(-exitval => 0, -verbose => 2) if $man;
# Global vars
my $total = 0;
my $total_spam = 0;
my $total_junk = 0;
my $junk_symbols = 0;
my $spam_symbols = 0;
my $ham_symbols = 0;
my $ham_spam_change = 0;
my $ham_junk_change = 0;
my %sym_res;
my $rspamd_log;
my $enabled = 0;
my %action;
my %timeStamp;
my %scanTime = (
max => 0,
total => 0,
);
my %bidir_match;
foreach ( $startTime, $endTime ) { $_ = &normalized_time($_) }
# Convert bidirectional symbols
foreach my $s (@symbols_bidirectional) {
$bidir_match{$s} = {
spam => "${s}_SPAM",
ham => "${s}_HAM",
};
push @symbols_search, $s unless grep /^$s$/, @symbols_search;
}
@symbols_search = '.*'
unless @symbols_search;
if ($log_file eq '-' || $log_file eq '') {
$rspamd_log = \*STDIN;
&ProcessLog();
}
elsif ( -d "$log_file" ) {
my $log_dir = "$log_file";
my @logs = &GetLogfilesList($log_dir);
# Process logs
foreach (@logs) {
my $ext = (/[^.]+\.?([^.]*?)$/)[0];
my $dc = $decompressor{$ext} || 'cat';
open( $rspamd_log, "-|", "$dc $log_dir/$_" )
or die "cannot execute $dc $log_dir/$_ : $!";
&ProcessLog;
close($rspamd_log)
or warn "cannot close $dc $log_dir/$_: $!";
}
}
else {
open($rspamd_log, '<', $log_file) or die "cannot open $log_file";
&ProcessLog();
}
my $total_ham = $total - ($total_spam + $total_junk);
if ($json) {
print "{";
&Summary();
print '"symbols":{';
&SymbolsStat();
print "}}\n";
}
else {
&SymbolsStat();
&Summary();
}
exit;
sub SymbolsStat() {
if ($total > 0) {
my $has_comma = 0;
while (my ($s, $r) = each(%sym_res)) {
if ($r->{hits} > 0) {
my $th = $r->{hits};
my $sh = $r->{spam_hits};
my $jh = $r->{junk_hits};
my $hh = $r->{hits} - $sh - $jh;
my $htp = $hh * 100.0 / $total_ham if $total_ham != 0;
my $stp = $sh * 100.0 / $total_spam if $total_spam != 0;
my $jtp = $jh * 100.0 / $total_junk if $total_junk != 0;
if ($json) {
if ($has_comma) {
print ",";
}
else {
$has_comma = 1;
}
print "\"$s\":{";
JsonObjectElt("avg_weight", $r->{'weight'},"%.4f");
print ",";
JsonObjectElt("hits", $th, "%d");
print ",";
JsonObjectElt("hits_percentage", $th/$total, "%.4f");
print ",";
JsonObjectElt("spam_hits", $sh, "%d");
print ",";
JsonObjectElt("spam_to_total", $sh/$th, "%.4f");
print ",";
JsonObjectElt("spam_percentage", $stp/100.0 || 0, "%.4f");
print ",";
JsonObjectElt("ham_hits", $hh, "%d");
print ",";
JsonObjectElt("ham_to_total", $hh/$th, "%.4f");
print ",";
JsonObjectElt("ham_percentage", $htp/100.0 || 0, "%.4f");
print ",";
JsonObjectElt("junk_hits", $jh, "%d");
print ",";
JsonObjectElt("junk_to_total", $jh/$th, "%.4f");
print ",";
JsonObjectElt("junk_percentage", $jtp/100.0 || 0, "%.4f");
}
else {
printf "%s avg. weight %.3f, hits %d(%.3f%%):
Ham %7.3f%%, %6d/%-6d (%7.3f%%)
Spam %7.3f%%, %6d/%-6d (%7.3f%%)
Junk %7.3f%%, %6d/%-6d (%7.3f%%)
",
$s, $r->{weight} / $r->{hits}, $th, ($th / $total * 100),
($hh / $th * 100), $hh, $total_ham, ($htp or 0),
($sh / $th * 100), $sh, $total_spam, ($stp or 0),
($jh / $th * 100), $jh, $total_junk, ($jtp or 0);
}
my $schp = $r->{spam_change} / $total_spam * 100.0 if $total_spam;
my $jchp = $r->{junk_change} / $total_junk * 100.0 if $total_junk;
if ($r->{weight} != 0) {
if (!$json) {
if ($r->{weight} > 0) {
printf "
Spam changes (ham/junk -> spam): %6d/%-6d (%7.3f%%)
Spam changes / total spam hits: %6d/%-6d (%7.3f%%)
Junk changes (ham -> junk): %6d/%-6d (%7.3f%%)
Junk changes / total junk hits: %6d/%-6d (%7.3f%%)
",
$r->{spam_change}, $th, ($r->{spam_change} / $th * 100),
$r->{spam_change}, $total_spam, ($schp or 0),
$r->{junk_change}, $th, ($r->{junk_change} / $th * 100),
$r->{junk_change}, $total_junk, ($jchp or 0);
}
else {
printf "
Spam changes (spam -> junk/ham): %6d/%-6d (%7.3f%%)
Spam changes / total spam hits : %6d/%-6d (%7.3f%%)
Junk changes (junk -> ham) : %6d/%-6d (%7.3f%%)
Junk changes / total junk hits : %6d/%-6d (%7.3f%%)
",
$r->{spam_change}, $th, ($r->{spam_change} / $th * 100),
$r->{spam_change}, $total_spam, ($schp or 0),
$r->{junk_change}, $th, ($r->{junk_change} / $th * 100),
$r->{junk_change}, $total_junk, ($jchp or 0);
}
}
else {
print ",";
JsonObjectElt("spam_change", $r->{spam_change}, "%.4f");
print ",";
JsonObjectElt("junk_change", $r->{junk_change}, "%.4f");
}
}
if ($correlations) {
if (!$json) {
print "Correlations report:\n";
while (my ($cs, $hits) = each %{$r->{corr}}) {
my $corr_prob = $hits / $total;
my $sym_prob = $r->{hits} / $total;
printf "Probability of %s when %s fires: %.3f\n", $s, $cs,
($corr_prob / $sym_prob);
}
}
else {
print ",";
print "\"correllations\":{";
my $has_comma = 0;
while (my ($cs, $hits) = each %{$r->{corr}}) {
if ($has_comma) {
print ",";
}
else {
$has_comma = 1;
}
my $corr_prob = $hits / $total;
my $sym_prob = $r->{hits} / $total;
JsonObjectElt($cs, ($corr_prob / $sym_prob) ,"%.4f");
}
print "}";
}
}
print "}" if $json;
}
else {
print "Symbol $s has not been met\n" if !$json;
}
print '-' x 80 . "\n" if !$json;
}
}
}
sub Summary() {
if (!$json) {
print "
=== Summary ", '=' x 68, "
Messages scanned: $total";
printf " [ %s / %s ]
", $timeStamp{'start'}, $timeStamp{'end'}
if defined $timeStamp{'start'};
say '';
printf "%11s: %6.2f%%, %d\n", $_, 100 * $action{$_} / $total, $action{$_}
for sort keys %action;
say '';
printf "scan time min/avg/max = %.2f/%.2f/%.2f s
", $scanTime{'min'} / 1000,
($total) ? $scanTime{'total'} / $total / 1000 : undef,
$scanTime{'max'} / 1000
if exists $scanTime{'min'};
say '=' x 80;
}
else {
JsonObjectElt("total", $total, "%d");
print ",";
if (defined $timeStamp{'start'}) {
JsonObjectElt("start", $timeStamp{'start'});
print ",";
}
if (defined $timeStamp{'end'}) {
JsonObjectElt("end", $timeStamp{'end'});
print ",";
}
print "\"actions\":{";
my $has_comma = 0;
foreach my $a (sort keys %action) {
if ($has_comma) {
print ",";
}
else {
$has_comma = 1;
}
JsonObjectElt($a, $action{$a}, "%d");
}
print "},";
}
}
sub ProcessLog {
my $ts_format = &log_time_format($rspamd_log);
my $is_syslog = defined $ts_format && $ts_format eq 'syslog';
while(<$rspamd_log>) {
if (!$enabled && ($search_pattern eq "" || /$search_pattern/)) {
$enabled = 1;
}
next if !$enabled;
if (/^.*rspamd_task_write_log.*$/) {
my $ts =
($is_syslog)
? syslog2iso( join ' ', ( split /\s+/ )[ 0 .. 2 ] )
: join ' ', ( split /\s+/ )[ 0 .. 1 ];
next if ( $ts lt $startTime );
next if ( defined $endTime && $ts gt $endTime );
if ($_ !~ /\(([^()]+)\): \[(NaN|-?\d+(?:\.\d+)?)\/(-?\d+(?:\.\d+)?)\]\s+\[([^\]]+)\].+? time: (\d+\.\d+)ms real/) {
#print "BAD: $_\n";
next;
}
my @symbols = split /(?:\{[^}]*\})?(?:$|,)/, $4;
my $scan_time = $5;
my $act = $1;
my $score = $2 * 1.0;
my $skip = 0;
foreach my $ex (@symbols_exclude) {
my @found = grep {/^$ex/} @symbols;
if (scalar(@found) > 0) {
$skip = 1;
last;
}
}
next if ( $skip != 0 );
$timeStamp{'end'} = $ts;
$timeStamp{'start'} //= $timeStamp{'end'};
$scanTime{'min'} = $scan_time
if ( !exists $scanTime{'min'} || $scanTime{'min'} > $scan_time );
$scanTime{'max'} = $scan_time
if ( $scanTime{'max'} < $scan_time );
$scanTime{'total'} += $scan_time;
$action{$act}++;
$total ++;
if ($score >= $reject_score) {
$total_spam ++;
}
elsif ($score >= $junk_score) {
$total_junk ++;
}
my @sym_names;
foreach my $s (@symbols_search) {
my @selected = grep /$s/, @symbols;
if (scalar(@selected) > 0) {
foreach my $sym (@selected) {
$sym =~ /^([^\(]+)(\(([^\)]+)\))?/;
my $sym_name = $1;
my $sym_score = 0;
my $orig_name = $sym_name;
if ($2) {
$sym_score = $3 * 1.0;
if (abs($sym_score) < $diff_alpha) {
next;
}
my $bm = $bidir_match{$sym_name};
if ($bm) {
if ($sym_score >= 0) {
$sym_name = $bm->{'spam'};
}
else {
$sym_name = $bm->{'ham'};
}
}
}
next if $orig_name !~ /^$s/;
push @sym_names, $sym_name;
if (!$sym_res{$sym_name}) {
$sym_res{$sym_name} = {
hits => 0,
spam_hits => 0,
junk_hits => 0,
spam_change => 0,
junk_change => 0,
weight => 0,
corr => {},
};
}
my $r = $sym_res{$sym_name};
$r->{hits} ++;
$r->{weight} += $sym_score;
my $is_spam = 0;
my $is_junk = 0;
if ($score >= $reject_score) {
$is_spam = 1;
$r->{spam_hits} ++;
}
elsif ($score >= $junk_score) {
$is_junk = 1;
$r->{junk_hits} ++;
}
if ($sym_score != 0) {
my $score_without = $score - $sym_score;
if ($sym_score > 0) {
if ($is_spam && $score_without < $reject_score) {
$r->{spam_change} ++;
}
if ($is_junk && $score_without < $junk_score) {
$r->{junk_change} ++;
}
}
else {
if (!$is_spam && $score_without >= $reject_score) {
$r->{spam_change} ++;
}
if (!$is_junk && $score_without >= $junk_score) {
$r->{junk_change} ++;
}
}
}
} # End foreach symbols selected
}
}
if ($correlations) {
foreach my $sym (@sym_names) {
my $r = $sym_res{$sym};
foreach my $corr_sym (@sym_names) {
if ($corr_sym ne $sym) {
if ($r->{'corr'}->{$corr_sym}) {
$r->{'corr'}->{$corr_sym} ++;
}
else {
$r->{'corr'}->{$corr_sym} = 1;
}
}
}
} # End of correlations check
}
}
}
}
sub JsonObjectElt() {
my ($k, $v) = @_;
my $f = defined $_[2] ? $_[2] : '%s';
if ($f eq "%s") {
$f = "\"%s\"";
}
printf "\"%s\":$f", $k, $v;
}
sub GetLogfilesList {
my ($dir) = @_;
opendir( DIR, $dir ) or die $!;
my $pattern = join( '|', keys %decompressor );
my $re = qr/\.[0-9]+(?:\.(?:$pattern))?/;
# Add unnumbered logs first
my @logs =
grep { -f "$dir/$_" && !/$re/ } readdir(DIR);
# Add numbered logs
rewinddir(DIR);
push( @logs,
( sort numeric ( grep { -f "$dir/$_" && /$re/ } readdir(DIR) ) ) );
closedir(DIR);
# Select required logs and revers their order
@logs =
reverse
splice( @logs, $exclude_logs, $num_logs ||= @logs - $exclude_logs );
# Loop through array printing out filenames
if (!$json) {
print "\nParsing log files:\n";
foreach my $file (@logs) {
print " $file\n";
}
print "\n";
}
return @logs;
}
sub log_time_format {
my $fh = shift;
my $format;
while (<$fh>) {
# 2017-08-08 00:00:01 #66984(
# 2017-08-08 00:00:01.001 #66984(
if (/^\d{4}-\d\d-\d\d \d\d:\d\d:\d\d(\.\d{3})? #\d+\(/) {
$format = 'rspamd';
last;
}
# Aug 8 00:02:50 #66986(
elsif (/^\w{3} (?:\s?\d|\d\d) \d\d:\d\d:\d\d #\d+\(/) {
$format = 'syslog';
last;
}
elsif (/^\w{3} (?:\s?\d|\d\d) \d\d:\d\d:\d\d\s/) {
$format = 'syslog';
last;
}
else {
print "Unknown log format\n";
exit 1;
}
}
# XXX: in case of pipe, we still will miss one element...
seek( $fh, 0, 0 );
return $format;
}
sub normalized_time {
return undef
if !defined( $_ = shift );
/^\d\d(?::\d\d){0,2}$/
? sprintf '%04d-%02d-%02d %s', 1900 + (localtime)[5], 1 + (localtime)[4],
(localtime)[3], $_
: $_;
}
sub numeric {
$a =~ /\.(\d+)\./;
my $a_num = $1;
$b =~ /\.(\d+)\./;
my $b_num = $1;
$a_num <=> $b_num;
}
# Convert syslog timestamp to "ISO 8601 like" format
# using current year as syslog does not record the year (nor the timezone)
# or the last year if the guessed time is in the future.
sub syslog2iso {
my %month_map;
@month_map{qw(Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec)} = 0 .. 11;
my ( $month, @t ) =
$_[0] =~ m/^(\w{3}) \s\s? (\d\d?) \s (\d\d):(\d\d):(\d\d)/x;
my $epoch =
timelocal( ( reverse @t ), $month_map{$month}, 1900 + (localtime)[5] );
sprintf '%04d-%02d-%02d %02d:%02d:%02d',
1900 + (localtime)[5] - ( $epoch > time ),
$month_map{$month} + 1, @t;
}
__END__
=head1 NAME
rspamd_stats - analyze Rspamd rules by parsing log files
=head1 SYNOPSIS
rspamd_stats [options] [--symbol=SYM1 [--symbol=SYM2...]] [--log file]
Options:
--log=file log file or directory to read (stdin by default)
--reject-score=score set reject threshold (15 by default)
--junk-score=score set junk score (6.0 by default)
--symbol=sym check specified symbol (perl regexps, '.*' by default)
--alpha-score=score set ignore score for symbols (0.1 by default)
--correlations enable correlations report
--search-pattern do not process input unless the desired pattern is found
--start starting time (oldest) for log parsing
--end ending time (newest) for log parsing
--num-logs=integer number of recent logfiles to analyze (all files in the directory by default)
--exclude-logs=integer number of latest logs to exclude (0 by default)
--json print json output instead of human readable
--help brief help message
--man full documentation
=head1 OPTIONS
=over 8
=item B<--log>
Specifies log file or directory to read data from.
If a directory is specified B<rspamd_stats> analyses files in the directory
including known compressed file types. Number of log files can be limited using
B<--num-logs> and B<--exclude-logs> options. This assumes that files in the log
directory have B<newsyslog(8)>- or B<logrotate(8)>-like name format with numeric
indexes. Files without indexes (generally it is merely one file) are considered
the most recent and files with lower indexes are considered newer.
=item B<--reject-score>
Specifies the reject (spam) threshold.
=item B<--junk-score>
Specifies the junk (add header or rewrite subject) threshold.
=item B<--alpha-score>
Specifies the minimum score for a symbol to be considered by this script.
=item B<--symbol>
Add symbol or pattern (pcre format) to analyze.
=item B<--num-logs>
If set, limits number of analyzed logfiles in the directory to the specified value.
=item B<--exclude-logs>
Number of latest logs to exclude (0 by default).
=item B<--correlations>
Additionally print correlation rate for each symbol displayed. This routine calculates merely paired correlations between symbols.
=item B<--search-pattern>
Do not process input unless finding the specified regular expression. Useful to skip logs to a certain position.
=item B<--exclude>
Exclude log lines if certain symbols are fired (e.g. GTUBE). You may specify this option multiple time to skip multiple symbols.
=item B<--start>
Select log entries after this time. Format: C<YYYY-MM-DD HH:MM:SS> (can be
truncated to any desired accuracy). If used with B<--end> select entries between
B<--start> and B<--end>. The omitted date defaults to the current date if you
supply the time.
=item B<--end>
Select log entries before this time. Format: C<YYYY-MM-DD HH:MM:SS> (can be
truncated to any desired accuracy). If used with B<--start> select entries between
B<--start> and B<--end>. The omitted date defaults to the current date if you
supply the time.
=item B<--help>
Print a brief help message and exits.
=item B<--man>
Prints the manual page and exits.
=back
=head1 DESCRIPTION
B<rspamd_stats> will read the given log file (or standard input) and provide statistics for the specified symbols:
Symbol: BAYES_SPAM (weight 3.763) (381985 hits, 26.827%)
Ham hits: 184557 (48.315%), total ham: 1095487 (ham with BAYES_SPAM: 16.847%)
Spam hits: 15134 (3.962%), total spam: 16688 (spam with BAYES_SPAM: 90.688%)
Junk hits: 182294 (47.723%), total junk: 311699 (junk with BAYES_SPAM: 58.484%)
Spam changes (ham/junk -> spam): 7026 (1.839%), total percentage (changes / spam hits): 42.102%
Junk changes (ham -> junk): 95192 (24.920%), total percentage (changes / junk hits): 30.540%
Where there are the following attributes:
=over 4
=item *
B<Weight>: average score for a symbols
=item *
B<Total hits>: total number of hits and percentage of symbol hits divided by total number of messages
=item *
B<HAM hits>: provides the following information about B<HAM> messages with the specified symbol (from left to right):
=over 4
=item 1.
B<total symbol hits>: number of messages that has this symbol and are B<HAM>
=item 2.
B<ham percentage>: number of symbol hits divided by overall B<HAM> messages count
=item 3.
B<total ham hits>: overall number of B<HAM> messages
=item 4.
B<ham with symbol percentage>: percentage of number of hits with specified symbol in B<HAM> messages divided by total number of B<HAM> messages.
=back
=item *
B<SPAM hits>: provides the following information about B<SPAM> messages - same as previous but for B<SPAM> class.
=item *
B<Junk hits>: provides the following information about B<Junk> messages - same as previous but for B<JUNK> class.
=item *
B<Spam changes>: displays data about how much messages switched their class because of the specific symbol weight.
=item *
B<Junk changes>: displays data about how much messages switched their class because of the specific symbol weight.
=back
=cut
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