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Snort_AIPreproc/correlation.c
BlackLight da77d08a25 Fixing alert correlation logical condition
2010-11-24 16:44:11 +01:00

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/*
* =====================================================================================
*
* Filename: correlation.c
*
* Description: Runs the correlation algorithm of the alerts
*
* Version: 0.1
* Created: 07/09/2010 22:04:27
* Revision: none
* Compiler: gcc
*
* Author: BlackLight (http://0x00.ath.cx), <blacklight@autistici.org>
* Licence: GNU GPL v.3
* Company: DO WHAT YOU WANT CAUSE A PIRATE IS FREE, YOU ARE A PIRATE!
*
* =====================================================================================
*/
#include "spp_ai.h"
#include <alloca.h>
#include <libxml/xmlreader.h>
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <unistd.h>
#include <sys/stat.h>
#include <time.h>
#ifdef HAVE_LIBGVC
#include <gvc.h>
#endif
/** \defgroup correlation Module for the correlation of hyperalerts
* @{ */
#ifndef LIBXML_READER_ENABLED
#error "libxml2 reader not enabled\n"
#endif
/** Enumeration for the types of hyperalert XML tags */
enum { inHyperAlert, inSnortIdTag, inPreTag, inPostTag, HYP_TAG_NUM };
/** Enumeration for the types of manual correlations XML tags */
enum { inCorrelation, inCorrelations, inFromTag, inToTag, MAN_TAG_NUM };
typedef struct {
int from_gid;
int from_sid;
int from_rev;
int to_gid;
int to_sid;
int to_rev;
} AI_alert_type_pair_key;
typedef struct {
AI_alert_type_pair_key key;
enum { manuallyNone, manuallyCorrelated, manuallyNotCorrelated } corr_type;
UT_hash_handle hh;
} AI_alert_type_pair;
PRIVATE AI_hyperalert_info *hyperalerts = NULL;
PRIVATE AI_snort_alert *alerts = NULL;
PRIVATE AI_alert_correlation *correlation_table = NULL;
PRIVATE AI_alert_type_pair *manual_correlations = NULL;
PRIVATE AI_alert_type_pair *manual_uncorrelations = NULL;
PRIVATE pthread_mutex_t mutex;
/**
* \brief Clean up the correlation hash table
*/
PRIVATE void
__AI_correlation_table_cleanup ()
{
AI_alert_correlation *current;
while ( correlation_table )
{
current = correlation_table;
HASH_DEL ( correlation_table, current );
free ( current );
}
} /* ----- end of function __AI_correlation_table_cleanup ----- */
/**
* \brief Recursively write a flow of correlated alerts to a .dot file, ready for being rendered as graph
* \param corr Correlated alerts
* \param fp File pointer
*/
PRIVATE void
__AI_correlated_alerts_to_dot ( AI_alert_correlation *corr, FILE *fp )
{
char src_addr1[INET_ADDRSTRLEN],
dst_addr1[INET_ADDRSTRLEN],
src_addr2[INET_ADDRSTRLEN],
dst_addr2[INET_ADDRSTRLEN],
src_port1[10],
dst_port1[10],
src_port2[10],
dst_port2[10];
if ( !corr )
return;
inet_ntop ( AF_INET, &(corr->key.a->ip_src_addr), src_addr1, INET_ADDRSTRLEN );
inet_ntop ( AF_INET, &(corr->key.a->ip_dst_addr), dst_addr1, INET_ADDRSTRLEN );
snprintf ( src_port1, sizeof ( src_port1 ), "%d", ntohs ( corr->key.a->tcp_src_port ));
snprintf ( dst_port1, sizeof ( dst_port1 ), "%d", ntohs ( corr->key.a->tcp_dst_port ));
inet_ntop ( AF_INET, &(corr->key.b->ip_src_addr), src_addr2, INET_ADDRSTRLEN );
inet_ntop ( AF_INET, &(corr->key.b->ip_dst_addr), dst_addr2, INET_ADDRSTRLEN );
snprintf ( src_port2, sizeof ( src_port2 ), "%d", ntohs ( corr->key.b->tcp_src_port ));
snprintf ( dst_port2, sizeof ( dst_port2 ), "%d", ntohs ( corr->key.b->tcp_dst_port ));
fprintf ( fp,
"\t\"[%d.%d.%d] %s\\n"
"%s:%s -> %s:%s\\n"
"(%d alerts grouped)\" -> "
"\"[%d.%d.%d] %s\\n"
"%s:%s -> %s:%s\\n"
"(%d alerts grouped)\";\n",
corr->key.a->gid, corr->key.a->sid, corr->key.a->rev, corr->key.a->desc,
src_addr1, src_port1, dst_addr1, dst_port1,
corr->key.a->grouped_alerts_count,
corr->key.b->gid, corr->key.b->sid, corr->key.b->rev, corr->key.b->desc,
src_addr2, src_port2, dst_addr2, dst_port2,
corr->key.b->grouped_alerts_count
);
} /* ----- end of function __AI_correlated_alerts_to_dot ----- */
/**
* \brief Recursively write the flow of correlated alerts to a .json file, ready for being rendered in the web interface
*/
PRIVATE void
__AI_correlated_alerts_to_json ()
{
AI_snort_alert *alert_iterator = NULL;
struct pkt_info *pkt_iterator = NULL;
FILE *fp;
unsigned int i = 0,
pkt_len = 0;
char *strtime = NULL,
*encoded_pkt = NULL,
json_file[1040] = { 0 },
srcip[INET_ADDRSTRLEN] = { 0 },
dstip[INET_ADDRSTRLEN] = { 0 },
srcport[10] = { 0 },
dstport[10] = { 0 };
/* If there is no directory configured for the web interface, just exit */
if ( strlen ( config->webserv_dir ) == 0 )
return;
snprintf ( json_file, sizeof ( json_file ), "%s/correlation_graph.json", config->webserv_dir );
if ( !( fp = fopen ( json_file, "w" )))
{
AI_fatal_err ( "Unable to write on correlated_graph.json in htdocs directory", __FILE__, __LINE__ );
}
fprintf ( fp, "[\n" );
for ( alert_iterator = alerts; alert_iterator; alert_iterator = alert_iterator->next )
{
strtime = ctime ( &(alert_iterator->timestamp ));
strtime[ strlen(strtime) - 1 ] = 0;
inet_ntop ( AF_INET, &(alert_iterator->ip_src_addr), srcip, INET_ADDRSTRLEN );
inet_ntop ( AF_INET, &(alert_iterator->ip_dst_addr), dstip, INET_ADDRSTRLEN );
snprintf ( srcport, sizeof ( srcport ), "%d", htons ( alert_iterator->tcp_src_port ));
snprintf ( dstport, sizeof ( dstport ), "%d", htons ( alert_iterator->tcp_dst_port ));
fprintf ( fp, "{\n"
"\t\"id\": %lu,\n"
"\t\"snortSID\": \"%u\",\n"
"\t\"snortGID\": \"%u\",\n"
"\t\"snortREV\": \"%u\",\n"
"\t\"label\": \"%s\",\n"
"\t\"date\": \"%s\",\n"
"\t\"clusteredAlertsCount\": %u,\n"
"\t\"from\": \"%s:%s\",\n"
"\t\"to\": \"%s:%s\"",
alert_iterator->alert_id,
alert_iterator->sid,
alert_iterator->gid,
alert_iterator->rev,
alert_iterator->desc,
strtime,
alert_iterator->grouped_alerts_count,
srcip, srcport, dstip, dstport
);
if ( alert_iterator->stream )
{
fprintf ( fp, ",\n"
"\t\"packets\": [\n" );
for ( pkt_iterator = alert_iterator->stream; pkt_iterator; pkt_iterator = pkt_iterator->next )
{
encoded_pkt = NULL;
pkt_len = pkt_iterator->pkt->pcap_header->len + pkt_iterator->pkt->payload_size;
if ( !( encoded_pkt = (char*) calloc ( 4*pkt_len + 1, sizeof ( char ))))
{
AI_fatal_err ( "Fatal dynamic memory allocation", __FILE__, __LINE__ );
}
base64_encode (
(const char*) pkt_iterator->pkt->pkt_data,
pkt_len,
&encoded_pkt
);
fprintf ( fp, "\t\t\"%s\"%s\n",
encoded_pkt, ((pkt_iterator->next) ? "," : ""));
free ( encoded_pkt );
encoded_pkt = NULL;
}
fprintf ( fp, "\t]" );
}
for ( i=1; i < alert_iterator->grouped_alerts_count; i++ )
{
if ( i == 1 )
{
fprintf ( fp, ",\n\t\"clusteredAlerts\": [\n" );
}
if ( alert_iterator->grouped_alerts )
{
if ( alert_iterator->grouped_alerts[i] )
{
strtime = ctime ( &(alert_iterator->grouped_alerts[i]->timestamp ));
strtime[ strlen ( strtime ) - 1 ] = 0;
inet_ntop ( AF_INET, &(alert_iterator->grouped_alerts[i]->ip_src_addr), srcip, INET_ADDRSTRLEN );
inet_ntop ( AF_INET, &(alert_iterator->grouped_alerts[i]->ip_dst_addr), dstip, INET_ADDRSTRLEN );
snprintf ( srcport, sizeof ( srcport ), "%d", htons ( alert_iterator->grouped_alerts[i]->tcp_src_port ));
snprintf ( dstport, sizeof ( dstport ), "%d", htons ( alert_iterator->grouped_alerts[i]->tcp_dst_port ));
fprintf ( fp, "\t\t{\n"
"\t\t\t\"id\": %lu,\n"
"\t\t\t\"label\": \"%s\",\n"
"\t\t\t\"date\": \"%s\",\n"
"\t\t\t\"from\": \"%s:%s\",\n"
"\t\t\t\"to\": \"%s:%s\"%s",
alert_iterator->grouped_alerts[i]->alert_id,
alert_iterator->grouped_alerts[i]->desc,
strtime,
srcip, srcport, dstip, dstport,
(( alert_iterator->grouped_alerts[i]->stream ) ? ",\n" : "\n" )
);
if ( alert_iterator->grouped_alerts[i]->stream )
{
fprintf ( fp, "\t\t\t\"packets\": [\n" );
for ( pkt_iterator = alert_iterator->grouped_alerts[i]->stream; pkt_iterator; pkt_iterator = pkt_iterator->next )
{
if ( !pkt_iterator->pkt->ip4_header )
{
pkt_len = pkt_iterator->pkt->pcap_header->len +
pkt_iterator->pkt->tcp_options_length +
pkt_iterator->pkt->payload_size;
} else {
pkt_len = pkt_iterator->pkt->ip4_header->data_length;
}
if ( !( encoded_pkt = (char*) malloc ( 4*pkt_len + 1 )))
{
AI_fatal_err ( "Fatal dynamic memory allocation", __FILE__, __LINE__ );
}
memset ( encoded_pkt, 0, 4*pkt_len + 1 );
base64_encode (
(const char*) pkt_iterator->pkt->pkt_data,
pkt_len,
&encoded_pkt
);
fprintf ( fp, "\t\t\t\t\"%s\"%s\n",
encoded_pkt, ((pkt_iterator->next) ? "," : ""));
}
fprintf ( fp, "\t\t\t]\n" );
}
fprintf ( fp,
"\t\t}%s\n",
(( i < alert_iterator->grouped_alerts_count - 1 ) ? "," : "" ));
}
}
if ( i == alert_iterator->grouped_alerts_count - 1 )
{
fprintf ( fp, "\t]" );
}
}
for ( i=0; i < alert_iterator->n_derived_alerts; i++ )
{
if ( i == 0 )
{
fprintf ( fp, ",\n\t\"connectedTo\": [\n" );
}
fprintf ( fp, "\t\t{ \"id\": %lu }%s\n",
alert_iterator->derived_alerts[i]->alert_id,
((i < alert_iterator->n_derived_alerts - 1) ? "," : ""));
if ( i == alert_iterator->n_derived_alerts - 1 )
{
fprintf ( fp, "\t]" );
}
}
fprintf ( fp, "\n}%s\n",
(alert_iterator->next ? "," : ""));
}
fprintf ( fp, "]\n" );
fclose ( fp );
chmod ( json_file, 0644 );
} /* ----- end of function __AI_correlated_alerts_to_json ----- */
/**
* \brief Get the name of the function called by a pre-condition or post-condition predicate
* \param orig_stmt Statement representing a pre-condition or post-condition
* \return The name of the function called by that statement
*/
PRIVATE char*
__AI_get_function_name ( const char *orig_stmt )
{
int parenthesis_pos, function_name_len;
char function_name[4096];
char *stmt = NULL;
if ( !( stmt = (char*) alloca ( strlen ( orig_stmt ))))
return NULL;
strcpy ( stmt, orig_stmt );
memset ( function_name, 0, sizeof ( function_name ));
if ( !( parenthesis_pos = (int) strstr ( stmt, "(" )))
return NULL;
parenthesis_pos -= (int) stmt;
function_name_len = ( parenthesis_pos < sizeof ( function_name )) ? parenthesis_pos : sizeof ( function_name );
strncpy ( function_name, stmt, function_name_len );
return strdup(function_name);
} /* ----- end of function __AI_get_function_name ----- */
/**
* \brief Get the arguments passed to a function predicate in a pre-condition or post-condition (comma-separated values)
* \param orig_stmt Statement representing a pre-condition or post-condition
* \param n_args Reference to an integer that will contain the number of arguments read
* \return An array of strings containing the arguments of the function
*/
PRIVATE char**
__AI_get_function_arguments ( char *orig_stmt, int *n_args )
{
char **args = NULL;
char *tok = NULL;
char *stmt = NULL;
int par_pos = 0;
*n_args = 0;
if ( !( stmt = (char*) alloca ( strlen ( orig_stmt ))))
return NULL;
strcpy ( stmt, orig_stmt );
if ( !( par_pos = (int) strstr ( stmt, "(" )))
return NULL;
par_pos -= (int) stmt;
stmt += par_pos + 1;
if ( stmt [ strlen(stmt) - 1 ] == ')' )
stmt[ strlen(stmt) - 1 ] = 0;
tok = (char*) strtok ( stmt, "," );
while ( tok ) {
if ( !( args = (char**) realloc ( args, (++(*n_args)) * sizeof ( char* ))))
AI_fatal_err ( "Fatal dynamic memory allocation error", __FILE__, __LINE__ );
args [ (*n_args) - 1 ] = strdup ( tok );
tok = (char*) strtok ( NULL, " " );
}
if ( !(*n_args) )
return NULL;
return args;
} /* ----- end of function __AI_get_function_arguments ----- */
/**
* \brief Compute the correlation coefficient between two alerts, as #INTERSECTION(pre(B), post(A)) / #UNION(pre(B), post(A)), on the basis of preconditions and postconditions in the knowledge base's correlation rules
* \param a Alert a
* \param b Alert b
* \return The correlation coefficient between A and B as coefficient in [0,1]
*/
PRIVATE double
__AI_kb_correlation_coefficient ( AI_snort_alert *a, AI_snort_alert *b )
{
unsigned int i, j, k, l,
n_intersection = 0,
n_union = 0;
char **args1 = NULL,
**args2 = NULL,
**matches = NULL,
*function_name1 = NULL,
*function_name2 = NULL,
new_stmt1[4096] = {0},
new_stmt2[4096] = {0};
int n_args1 = 0,
n_args2 = 0,
n_matches = 0,
min_addr = 0,
max_addr = 0,
ipaddr = 0,
netmask = 0;
if ( !a->hyperalert || !b->hyperalert )
return 0.0;
if ( a->hyperalert->n_postconds == 0 || b->hyperalert->n_preconds == 0 )
return 0.0;
n_union = a->hyperalert->n_postconds + b->hyperalert->n_preconds;
for ( i=0; i < a->hyperalert->n_postconds; i++ )
{
for ( j=0; j < b->hyperalert->n_preconds; j++ )
{
if ( !strcasecmp ( a->hyperalert->postconds[i], b->hyperalert->preconds[j] ))
{
n_intersection += 2;
} else {
/* Check if the predicates are the same, have the same number of arguments, and
* substitute possible occurrencies of +ANY_ADDR+ and +ANY_PORT+ or IP netmasks */
function_name1 = __AI_get_function_name ( a->hyperalert->postconds[i] );
function_name2 = __AI_get_function_name ( b->hyperalert->preconds[j] );
if ( !strcasecmp ( function_name1, function_name2 ))
{
args1 = __AI_get_function_arguments ( a->hyperalert->postconds[i], &n_args1 );
args2 = __AI_get_function_arguments ( b->hyperalert->preconds[j] , &n_args2 );
if ( args1 && args2 )
{
if ( n_args1 == n_args2 )
{
memset ( new_stmt1, 0, sizeof ( new_stmt1 ));
memset ( new_stmt2, 0, sizeof ( new_stmt2 ));
for ( k=0; k < n_args1; k++ )
{
/* If any occurrence of +ANY_ADDR+ or +ANY_PORT+ is found in any of the arguments,
* substitute that occurrence with the associated value */
if ( !strcasecmp ( args1[k], "+ANY_ADDR+" ) || !strcasecmp ( args1[k], "+ANY_PORT+" ))
{
free ( args1[k] );
args1[k] = args2[k];
}
if ( !strcasecmp ( args2[k], "+ANY_ADDR+" ) || !strcasecmp ( args2[k], "+ANY_PORT+" ))
{
free ( args2[k] );
args2[k] = args1[k];
}
/* Substitute any occurrence of an IP netmask in any of the two arguments with
* the associated IP value */
if ( preg_match ( "^([0-9]{1,3}\\.[0-9]{1,3}\\.[0-9]{1,3}\\.[0-9]{1,3})/([0-9]{1,2})$", args1[k], &matches, &n_matches ))
{
if ( preg_match ( "^[0-9]{1,3}\\.[0-9]{1,3}\\.[0-9]{1,3}\\.[0-9]{1,3}$", args2[k], NULL, NULL ))
{
if (( netmask = strtol ( matches[1], NULL, 10 )) > 32 )
AI_fatal_err ( "Invalid IP netmask value in configuration", __FILE__, __LINE__ );
if (( min_addr = inet_addr ( matches[0] )) == INADDR_NONE )
AI_fatal_err ( "Invalid base IP address in configuration", __FILE__, __LINE__ );
ipaddr = inet_addr ( args2[k] );
if ( ipaddr == INADDR_NONE )
AI_fatal_err ( "Invalid base IP address in configuration", __FILE__, __LINE__ );
netmask = 1 << (( 8*sizeof ( uint32_t )) - netmask );
min_addr = ntohl ( min_addr ) & (~(netmask - 1));
max_addr = min_addr | (netmask - 1);
ipaddr = ntohl ( ipaddr );
if ( ipaddr >= min_addr && ipaddr <= max_addr )
{
free ( args1[k] );
args1[k] = args2[k];
}
}
for ( l=0; l < n_matches; l++ )
free ( matches[l] );
free ( matches );
}
if ( preg_match ( "^([0-9]{1,3}\\.[0-9]{1,3}\\.[0-9]{1,3}\\.[0-9]{1,3})/([0-9]{1,2})$", args2[k], &matches, &n_matches ))
{
if ( preg_match ( "^[0-9]{1,3}\\.[0-9]{1,3}\\.[0-9]{1,3}\\.[0-9]{1,3}$", args1[k], NULL, NULL ))
{
if (( netmask = strtol ( matches[1], NULL, 10 )) > 32 )
AI_fatal_err ( "Invalid IP netmask value in configuration", __FILE__, __LINE__ );
if (( min_addr = inet_addr ( matches[0] )) == INADDR_NONE )
AI_fatal_err ( "Invalid base IP address in configuration", __FILE__, __LINE__ );
ipaddr = inet_addr ( args1[k] );
if ( ipaddr == INADDR_NONE )
AI_fatal_err ( "Invalid base IP address in configuration", __FILE__, __LINE__ );
netmask = 1 << (( 8*sizeof ( uint32_t )) - netmask );
min_addr = ntohl ( min_addr ) & (~(netmask - 1));
max_addr = min_addr | (netmask - 1);
ipaddr = ntohl ( ipaddr );
if ( ipaddr >= min_addr && ipaddr <= max_addr )
{
free ( args2[k] );
args2[k] = args1[k];
}
}
for ( l=0; l < n_matches; l++ )
free ( matches[l] );
free ( matches );
}
}
snprintf ( new_stmt1, sizeof ( new_stmt1 ), "%s(", function_name1 );
snprintf ( new_stmt2, sizeof ( new_stmt2 ), "%s(", function_name2 );
for ( k=0; k < n_args1; k++ )
{
if ( strlen ( new_stmt1 ) + strlen ( args1[k] ) + 1 < sizeof ( new_stmt1 ))
sprintf ( new_stmt1, "%s%s%s", new_stmt1, args1[k], ( k < n_args1 - 1 ) ? "," : ")" );
if ( strlen ( new_stmt2 ) + strlen ( args2[k] ) + 1 < sizeof ( new_stmt2 ))
sprintf ( new_stmt2, "%s%s%s", new_stmt2, args2[k], ( k < n_args2 - 1 ) ? "," : ")" );
}
if ( !strcmp ( new_stmt1, new_stmt2 ))
{
n_intersection += 2;
}
}
for ( k=0; k < n_args1; k++ )
{
if ( args1[k] )
{
free ( args1[k] );
args1[k] = NULL;
}
}
if ( args1 )
{
free ( args1 );
args1 = NULL;
}
for ( k=0; k < n_args2; k++ )
{
if ( args2[k] )
{
/* free ( args2[k] ); */
args2[k] = NULL;
}
}
if ( args2 )
{
free ( args2 );
args2 = NULL;
}
}
}
if ( function_name1 )
{
free ( function_name1 );
function_name1 = NULL;
}
if ( function_name2 )
{
free ( function_name2 );
function_name2 = NULL;
}
}
}
}
return (double) ((double) n_intersection / (double) n_union );
} /* ----- end of function __AI_kb_correlation_coefficient ----- */
/**
* \brief Parse the manual specified correlations from XML file(s) and fills the hash table
*/
PRIVATE void*
__AI_manual_correlations_parsing_thread ( void *arg )
{
unsigned int i = 0;
char manual_correlations_xml[1060] = { 0 },
manual_uncorrelations_xml[1060] = { 0 };
struct stat st;
xmlTextReaderPtr xml;
const xmlChar *tagname;
AI_alert_type_pair_key key;
AI_alert_type_pair *pair = NULL,
*found = NULL;
BOOL xml_flags[MAN_TAG_NUM] = { false };
while ( 1 )
{
/* Cleanup tables */
while ( manual_correlations )
{
pair = manual_correlations;
HASH_DEL ( manual_correlations, pair );
free ( pair );
}
while ( manual_uncorrelations )
{
pair = manual_uncorrelations;
HASH_DEL ( manual_uncorrelations, pair );
free ( pair );
}
pair = NULL;
memset ( &key, 0, sizeof ( key ));
snprintf ( manual_correlations_xml,
sizeof ( manual_correlations_xml ),
"%s/manual_correlations.xml", config->webserv_dir );
snprintf ( manual_uncorrelations_xml,
sizeof ( manual_uncorrelations_xml ),
"%s/manual_uncorrelations.xml", config->webserv_dir );
if ( stat ( manual_correlations_xml, &st ) < 0 )
{
pthread_exit ((void*) 0);
return (void*) 0;
}
if ( stat ( manual_uncorrelations_xml, &st ) < 0 )
{
pthread_exit ((void*) 0);
return (void*) 0;
}
LIBXML_TEST_VERSION
/* Check manual correlations */
if ( !( xml = xmlReaderForFile ( manual_correlations_xml, NULL, 0 )))
{
pthread_exit ((void*) 0);
return (void*) 0;
}
while ( xmlTextReaderRead ( xml ))
{
if ( !( tagname = xmlTextReaderConstName ( xml )))
continue;
if ( xmlTextReaderNodeType ( xml ) == XML_READER_TYPE_ELEMENT )
{
if ( !strcasecmp ((const char*) tagname, "correlations" ))
{
if ( xml_flags[inCorrelations] )
{
AI_fatal_err ( "Tag 'correlations' opened twice in manual correlations XML file", __FILE__, __LINE__ );
} else {
xml_flags[inCorrelations] = true;
}
} else if ( !strcasecmp ((const char*) tagname, "correlation" )) {
if ( xml_flags[inCorrelation] )
{
AI_fatal_err ( "Tag 'correlation' opened twice in manual correlations XML file", __FILE__, __LINE__ );
} else {
xml_flags[inCorrelation] = true;
}
} else if ( !strcasecmp ((const char*) tagname, "from" )) {
xml_flags[inFromTag] = true;
key.from_gid = (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "gid" )) ?
strtol (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "gid" ), NULL, 10 ) : 0;
key.from_sid = (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "sid" )) ?
strtol (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "sid" ), NULL, 10 ) : 0;
key.from_rev = (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "rev" )) ?
strtol (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "rev" ), NULL, 10 ) : 0;
/* If this is a new pair, allocate the memory */
if ( pair == NULL )
{
if ( !( pair = ( AI_alert_type_pair* ) malloc ( sizeof ( AI_alert_type_pair ))))
{
AI_fatal_err ( "Fatal dynamic memory allocation error", __FILE__, __LINE__ );
}
pair->corr_type = manuallyCorrelated;
} else {
/* Otherwise, add the pair to the hash, if it's not already there */
pair->key = key;
HASH_FIND ( hh, manual_correlations, &key, sizeof ( key ), found );
if ( !found )
{
HASH_ADD ( hh, manual_correlations, key, sizeof ( key ), pair );
}
pair = NULL;
memset ( &key, 0, sizeof ( key ));
}
} else if ( !strcasecmp ((const char*) tagname, "to" )) {
xml_flags[inToTag] = true;
key.to_gid = (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "gid" )) ?
strtol (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "gid" ), NULL, 10 ) : 0;
key.to_sid = (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "sid" )) ?
strtol (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "sid" ), NULL, 10 ) : 0;
key.to_rev = (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "rev" )) ?
strtol (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "rev" ), NULL, 10 ) : 0;
/* If this is a new pair, allocate the memory */
if ( pair == NULL )
{
if ( !( pair = ( AI_alert_type_pair* ) malloc ( sizeof ( AI_alert_type_pair ))))
{
AI_fatal_err ( "Fatal dynamic memory allocation error", __FILE__, __LINE__ );
}
pair->corr_type = manuallyCorrelated;
} else {
/* Otherwise, add the pair to the hash, if it's not already there */
pair->key = key;
HASH_FIND ( hh, manual_correlations, &key, sizeof ( key ), found );
if ( !found )
{
HASH_ADD ( hh, manual_correlations, key, sizeof ( key ), pair );
}
pair = NULL;
memset ( &key, 0, sizeof ( key ));
}
} else {
AI_fatal_err ( "Unrecognized tag in manual correlations XML file", __FILE__, __LINE__ );
}
} else if ( xmlTextReaderNodeType ( xml ) == XML_READER_TYPE_END_ELEMENT ) {
if ( !strcasecmp ((const char*) tagname, "correlations" ))
{
if ( !xml_flags[inCorrelations] )
{
AI_fatal_err ( "Tag 'correlations' closed but never opened in manual correlations XML file", __FILE__, __LINE__ );
} else {
xml_flags[inCorrelations] = false;
}
} else if ( !strcasecmp ((const char*) tagname, "correlation" )) {
if ( !xml_flags[inCorrelation] )
{
AI_fatal_err ( "Tag 'correlation' closed but never opened in manual correlations XML file", __FILE__, __LINE__ );
} else {
xml_flags[inCorrelation] = false;
}
} else if ( !strcasecmp ((const char*) tagname, "from" )) {
if ( !xml_flags[inFromTag] )
{
AI_fatal_err ( "Tag 'from' closed but never opened in manual correlations XML file", __FILE__, __LINE__ );
} else {
xml_flags[inFromTag] = false;
}
} else if ( !strcasecmp ((const char*) tagname, "to" )) {
if ( !xml_flags[inToTag] )
{
AI_fatal_err ( "Tag 'to' closed but never opened in manual correlations XML file", __FILE__, __LINE__ );
} else {
xml_flags[inToTag] = false;
}
} else {
AI_fatal_err ( "Unrecognized tag in manual correlations XML file", __FILE__, __LINE__ );
}
}
}
xmlFreeTextReader ( xml );
xmlCleanupParser();
for ( i=0; i < MAN_TAG_NUM; i++ )
{
xml_flags[i] = false;
}
/* Check manual un-correlations */
if ( !( xml = xmlReaderForFile ( manual_uncorrelations_xml, NULL, 0 )))
{
pthread_exit ((void*) 0);
return (void*) 0;
}
while ( xmlTextReaderRead ( xml ))
{
if ( !( tagname = xmlTextReaderConstName ( xml )))
continue;
if ( xmlTextReaderNodeType ( xml ) == XML_READER_TYPE_ELEMENT )
{
if ( !strcasecmp ((const char*) tagname, "correlations" ))
{
if ( xml_flags[inCorrelations] )
{
AI_fatal_err ( "Tag 'correlations' opened twice in manual correlations XML file", __FILE__, __LINE__ );
} else {
xml_flags[inCorrelations] = true;
}
} else if ( !strcasecmp ((const char*) tagname, "correlation" )) {
if ( xml_flags[inCorrelation] )
{
AI_fatal_err ( "Tag 'correlation' opened twice in manual correlations XML file", __FILE__, __LINE__ );
} else {
xml_flags[inCorrelation] = true;
}
} else if ( !strcasecmp ((const char*) tagname, "from" )) {
xml_flags[inFromTag] = true;
key.from_gid = (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "gid" )) ?
strtol (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "gid" ), NULL, 10 ) : 0;
key.from_sid = (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "sid" )) ?
strtol (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "sid" ), NULL, 10 ) : 0;
key.from_rev = (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "rev" )) ?
strtol (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "rev" ), NULL, 10 ) : 0;
/* If this is a new pair, allocate the memory */
if ( pair == NULL )
{
if ( !( pair = ( AI_alert_type_pair* ) malloc ( sizeof ( AI_alert_type_pair ))))
{
AI_fatal_err ( "Fatal dynamic memory allocation error", __FILE__, __LINE__ );
}
pair->corr_type = manuallyNotCorrelated;
} else {
/* Otherwise, add the pair to the hash, if it's not already there */
pair->key = key;
HASH_FIND ( hh, manual_uncorrelations, &key, sizeof ( key ), found );
if ( !found )
{
HASH_ADD ( hh, manual_uncorrelations, key, sizeof ( key ), pair );
}
pair = NULL;
memset ( &key, 0, sizeof ( key ));
}
} else if ( !strcasecmp ((const char*) tagname, "to" )) {
xml_flags[inToTag] = true;
key.to_gid = (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "gid" )) ?
strtol (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "gid" ), NULL, 10 ) : 0;
key.to_sid = (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "sid" )) ?
strtol (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "sid" ), NULL, 10 ) : 0;
key.to_rev = (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "rev" )) ?
strtol (( const char* ) xmlTextReaderGetAttribute ( xml, (const xmlChar*) "rev" ), NULL, 10 ) : 0;
/* If this is a new pair, allocate the memory */
if ( pair == NULL )
{
if ( !( pair = ( AI_alert_type_pair* ) malloc ( sizeof ( AI_alert_type_pair ))))
{
AI_fatal_err ( "Fatal dynamic memory allocation error", __FILE__, __LINE__ );
}
pair->corr_type = manuallyNotCorrelated;
} else {
/* Otherwise, add the pair to the hash, if it's not already there */
pair->key = key;
HASH_FIND ( hh, manual_uncorrelations, &key, sizeof ( key ), found );
if ( !found )
{
HASH_ADD ( hh, manual_uncorrelations, key, sizeof ( key ), pair );
}
pair = NULL;
memset ( &key, 0, sizeof ( key ));
}
} else {
AI_fatal_err ( "Unrecognized tag in manual correlations XML file", __FILE__, __LINE__ );
}
} else if ( xmlTextReaderNodeType ( xml ) == XML_READER_TYPE_END_ELEMENT ) {
if ( !strcasecmp ((const char*) tagname, "correlations" ))
{
if ( !xml_flags[inCorrelations] )
{
AI_fatal_err ( "Tag 'correlations' closed but never opened in manual correlations XML file", __FILE__, __LINE__ );
} else {
xml_flags[inCorrelations] = false;
}
} else if ( !strcasecmp ((const char*) tagname, "correlation" )) {
if ( !xml_flags[inCorrelation] )
{
AI_fatal_err ( "Tag 'correlation' closed but never opened in manual correlations XML file", __FILE__, __LINE__ );
} else {
xml_flags[inCorrelation] = false;
}
} else if ( !strcasecmp ((const char*) tagname, "from" )) {
if ( !xml_flags[inFromTag] )
{
AI_fatal_err ( "Tag 'from' closed but never opened in manual correlations XML file", __FILE__, __LINE__ );
} else {
xml_flags[inFromTag] = false;
}
} else if ( !strcasecmp ((const char*) tagname, "to" )) {
if ( !xml_flags[inToTag] )
{
AI_fatal_err ( "Tag 'to' closed but never opened in manual correlations XML file", __FILE__, __LINE__ );
} else {
xml_flags[inToTag] = false;
}
} else {
AI_fatal_err ( "Unrecognized tag in manual correlations XML file", __FILE__, __LINE__ );
}
}
}
xmlFreeTextReader ( xml );
xmlCleanupParser();
sleep ( config->manualCorrelationsParsingInterval );
}
pthread_exit ((void*) 0);
return (void*) 0;
} /* ----- end of function __AI_manual_correlations_parsing_thread ----- */
/**
* \brief Substitute the macros in hyperalert pre-conditions and post-conditions with their associated values
* \param alert Reference to the hyperalert to work on
*/
PRIVATE void
__AI_macro_subst ( AI_snort_alert **alert )
{
/*
* Recognized macros:
* +SRC_ADDR+, +DST_ADDR+, +SRC_PORT+, +DST_PORT+, +ANY_ADDR+, +ANY_PORT+
*/
int i;
char src_addr[INET_ADDRSTRLEN], dst_addr[INET_ADDRSTRLEN];
char src_port[10], dst_port[10];
char *tmp;
for ( i=0; i < (*alert)->hyperalert->n_preconds; i++ )
{
tmp = (*alert)->hyperalert->preconds[i];
(*alert)->hyperalert->preconds[i] = str_replace_all ( (*alert)->hyperalert->preconds[i], " ", "" );
free ( tmp );
if ( strstr ( (*alert)->hyperalert->preconds[i], "+SRC_ADDR+" ))
{
inet_ntop ( AF_INET, &((*alert)->ip_src_addr), src_addr, INET_ADDRSTRLEN );
tmp = (*alert)->hyperalert->preconds[i];
(*alert)->hyperalert->preconds[i] = str_replace ( (*alert)->hyperalert->preconds[i], "+SRC_ADDR+", src_addr );
free ( tmp );
}
if ( strstr ( (*alert)->hyperalert->preconds[i], "+DST_ADDR+" )) {
inet_ntop ( AF_INET, &((*alert)->ip_dst_addr), dst_addr, INET_ADDRSTRLEN );
tmp = (*alert)->hyperalert->preconds[i];
(*alert)->hyperalert->preconds[i] = str_replace ( (*alert)->hyperalert->preconds[i], "+DST_ADDR+", dst_addr );
free ( tmp );
}
if ( strstr ( (*alert)->hyperalert->preconds[i], "+SRC_PORT+" )) {
snprintf ( src_port, sizeof ( src_port ), "%d", ntohs ((*alert)->tcp_src_port) );
tmp = (*alert)->hyperalert->preconds[i];
(*alert)->hyperalert->preconds[i] = str_replace ( (*alert)->hyperalert->preconds[i], "+SRC_PORT+", src_port );
free ( tmp );
}
if ( strstr ( (*alert)->hyperalert->preconds[i], "+DST_PORT+" )) {
snprintf ( dst_port, sizeof ( dst_port ), "%d", ntohs ((*alert)->tcp_dst_port) );
tmp = (*alert)->hyperalert->preconds[i];
(*alert)->hyperalert->preconds[i] = str_replace ( (*alert)->hyperalert->preconds[i], "+DST_PORT+", dst_port );
free ( tmp );
}
}
for ( i=0; i < (*alert)->hyperalert->n_postconds; i++ )
{
tmp = (*alert)->hyperalert->postconds[i];
(*alert)->hyperalert->postconds[i] = str_replace_all ( (*alert)->hyperalert->postconds[i], " ", "" );
free ( tmp );
if ( strstr ( (*alert)->hyperalert->postconds[i], "+SRC_ADDR+" ))
{
inet_ntop ( AF_INET, &((*alert)->ip_src_addr), src_addr, INET_ADDRSTRLEN );
tmp = (*alert)->hyperalert->postconds[i];
(*alert)->hyperalert->postconds[i] = str_replace ( (*alert)->hyperalert->postconds[i], "+SRC_ADDR+", src_addr );
free ( tmp );
}
if ( strstr ( (*alert)->hyperalert->postconds[i], "+DST_ADDR+" )) {
inet_ntop ( AF_INET, &((*alert)->ip_dst_addr), dst_addr, INET_ADDRSTRLEN );
tmp = (*alert)->hyperalert->postconds[i];
(*alert)->hyperalert->postconds[i] = str_replace ( (*alert)->hyperalert->postconds[i], "+DST_ADDR+", dst_addr );
free ( tmp );
}
if ( strstr ( (*alert)->hyperalert->postconds[i], "+SRC_PORT+" )) {
snprintf ( src_port, sizeof ( src_port ), "%d", ntohs ((*alert)->tcp_src_port) );
tmp = (*alert)->hyperalert->postconds[i];
(*alert)->hyperalert->postconds[i] = str_replace ( (*alert)->hyperalert->postconds[i], "+SRC_PORT+", src_port );
free ( tmp );
}
if ( strstr ( (*alert)->hyperalert->postconds[i], "+DST_PORT+" )) {
snprintf ( dst_port, sizeof ( dst_port ), "%d", ntohs ((*alert)->tcp_dst_port) );
tmp = (*alert)->hyperalert->postconds[i];
(*alert)->hyperalert->postconds[i] = str_replace ( (*alert)->hyperalert->postconds[i], "+DST_PORT+", dst_port );
free ( tmp );
}
}
} /* ----- end of function __AI_macro_subst ----- */
/**
* \brief Parse info about a hyperalert from a correlation XML file, if it exists
* \param key Key (gid, sid, rev) identifying the alert
* \return A hyperalert structure containing the info about the current alert, if the XML file was found
*/
PRIVATE AI_hyperalert_info*
__AI_hyperalert_from_XML ( AI_hyperalert_key key )
{
char hyperalert_file[1024] = {0};
char snort_id[1024] = {0};
BOOL xmlFlags[HYP_TAG_NUM] = { false };
struct stat st;
xmlTextReaderPtr xml;
const xmlChar *tagname, *tagvalue;
AI_hyperalert_info *hyp;
if ( !( hyp = ( AI_hyperalert_info* ) malloc ( sizeof ( AI_hyperalert_info ))))
{
AI_fatal_err ( "Fatal dynamic memory allocation error", __FILE__, __LINE__ );
}
memset ( hyp, 0, sizeof ( AI_hyperalert_info ));
memset ( hyperalert_file, 0, sizeof ( hyperalert_file ));
hyp->key = key;
snprintf ( hyperalert_file, sizeof ( hyperalert_file ), "%s/%d-%d-%d.xml",
config->corr_rules_dir, key.gid, key.sid, key.rev );
if ( stat ( hyperalert_file, &st ) < 0 )
return NULL;
LIBXML_TEST_VERSION
if ( !( xml = xmlReaderForFile ( hyperalert_file, NULL, 0 )))
return NULL;
while ( xmlTextReaderRead ( xml ))
{
if ( !( tagname = xmlTextReaderConstName ( xml )))
continue;
if ( xmlTextReaderNodeType ( xml ) == XML_READER_TYPE_ELEMENT )
{
if ( !strcasecmp ((const char*) tagname, "hyperalert" ))
{
if ( xmlFlags[inHyperAlert] )
AI_fatal_err ( "Error in XML correlation rules: the hyperalert tag was opened twice", __FILE__, __LINE__ );
else
xmlFlags[inHyperAlert] = true;
} else if ( !strcasecmp ((const char*) tagname, "snort-id" )) {
if ( xmlFlags[inSnortIdTag] )
AI_fatal_err ( "Error in XML correlation rules: 'snort-id' tag open inside of another 'snort-id' tag", __FILE__, __LINE__ );
else if ( !xmlFlags[inHyperAlert] )
AI_fatal_err ( "Error in XML correlation rules: 'snort-id' tag open outside of 'hyperalert' tag", __FILE__, __LINE__ );
else
xmlFlags[inSnortIdTag] = true;
} else if ( !strcasecmp ((const char*) tagname, "pre" )) {
if ( xmlFlags[inPreTag] )
AI_fatal_err ( "Error in XML correlation rules: 'pre' tag open inside of another 'pre' tag", __FILE__, __LINE__ );
else if ( !xmlFlags[inHyperAlert] )
AI_fatal_err ( "Error in XML correlation rules: 'pre' tag open outside of 'hyperalert' tag", __FILE__, __LINE__ );
else
xmlFlags[inPreTag] = true;
} else if ( !strcasecmp ((const char*) tagname, "post" )) {
if ( xmlFlags[inPostTag] )
AI_fatal_err ( "Error in XML correlation rules: 'post' tag open inside of another 'post' tag", __FILE__, __LINE__ );
else if ( !xmlFlags[inHyperAlert] )
AI_fatal_err ( "Error in XML correlation rules: 'post' tag open outside of 'hyperalert' tag", __FILE__, __LINE__ );
else
xmlFlags[inPostTag] = true;
} else if ( !strcasecmp ((const char*) tagname, "desc" )) {}
else {
AI_fatal_err ( "Unrecognized tag in XML correlation rules", __FILE__, __LINE__ );
}
} else if ( xmlTextReaderNodeType ( xml ) == XML_READER_TYPE_END_ELEMENT ) {
if ( !strcasecmp ((const char*) tagname, "hyperalert" ))
{
if ( !xmlFlags[inHyperAlert] )
AI_fatal_err ( "Error in XML correlation rules: hyperalert tag closed but never opend", __FILE__, __LINE__ );
else
xmlFlags[inHyperAlert] = false;
} else if ( !strcasecmp ((const char*) tagname, "snort-id" )) {
if ( !xmlFlags[inSnortIdTag] )
AI_fatal_err ( "Error in XML correlation rules: snort-id tag closed but never opend", __FILE__, __LINE__ );
else
xmlFlags[inSnortIdTag] = false;
} else if ( !strcasecmp ((const char*) tagname, "pre" )) {
if ( !xmlFlags[inPreTag] )
AI_fatal_err ( "Error in XML correlation rules: pre tag closed but never opend", __FILE__, __LINE__ );
else
xmlFlags[inPreTag] = false;
} else if ( !strcasecmp ((const char*) tagname, "post" )) {
if ( !xmlFlags[inPostTag] )
AI_fatal_err ( "Error in XML correlation rules: post tag closed but never opend", __FILE__, __LINE__ );
else
xmlFlags[inPostTag] = false;
} else if ( !strcasecmp ((const char*) tagname, "desc" )) {}
else {
AI_fatal_err ( "Unrecognized tag in XML correlation rules", __FILE__, __LINE__ );
}
} else if ( xmlTextReaderNodeType ( xml ) == XML_READER_TYPE_TEXT ) {
if ( !( tagvalue = xmlTextReaderConstValue ( xml )))
continue;
if ( xmlFlags[inSnortIdTag] )
{
snprintf ( snort_id, sizeof ( snort_id ), "%d.%d.%d",
key.gid, key.sid, key.rev );
if ( strcmp ( snort_id, (const char*) tagvalue ))
{
_dpd.errMsg ( "AIPreproc: Found the file associated to hyperalert: '%s', "
"but the 'snort-id' field in there has a different value\n",
hyperalert_file );
return NULL;
}
} else if ( xmlFlags[inPreTag] ) {
if ( !( hyp->preconds = (char**) realloc ( hyp->preconds, (++hyp->n_preconds)*sizeof(char*) )))
AI_fatal_err ( "Fatal dynamic memory allocation error", __FILE__, __LINE__ );
hyp->preconds[hyp->n_preconds-1] = strdup ((const char*) tagvalue );
} else if ( xmlFlags[inPostTag] ) {
if ( !( hyp->postconds = (char**) realloc ( hyp->postconds, (++hyp->n_postconds)*sizeof(char*) )))
AI_fatal_err ( "Fatal dynamic memory allocation error", __FILE__, __LINE__ );
hyp->postconds[hyp->n_postconds-1] = strdup ((const char*) tagvalue );
}
}
}
xmlFreeTextReader ( xml );
xmlCleanupParser();
return hyp;
} /* ----- end of function __AI_hyperalert_from_XML ----- */
/**
* \brief Thread for correlating clustered alerts
*/
void*
AI_alert_correlation_thread ( void *arg )
{
int i;
struct stat st;
char corr_dot_file[4096] = { 0 };
#ifdef HAVE_LIBGVC
char corr_ps_file [4096] = { 0 };
#endif
double avg_correlation = 0.0,
std_deviation = 0.0,
corr_threshold = 0.0,
kb_correlation = 0.0,
bayesian_correlation = 0.0,
neural_correlation = 0.0;
size_t n_correlations = 0,
n_corr_functions = 0,
n_corr_weights = 0;
FILE *fp = NULL;
AI_alert_correlation_key corr_key;
AI_alert_correlation *corr = NULL;
AI_alert_type_pair_key pair_key;
AI_alert_type_pair *pair = NULL,
*unpair = NULL;
AI_hyperalert_key key;
AI_hyperalert_info *hyp = NULL;
AI_snort_alert *alert_iterator = NULL,
*alert_iterator2 = NULL;
pthread_t manual_corr_thread;
#ifdef HAVE_LIBGVC
char corr_png_file[4096] = { 0 };
GVC_t *gvc = NULL;
graph_t *g = NULL;
#endif
double (**corr_functions)( const AI_snort_alert*, const AI_snort_alert* ) = NULL;
double (**corr_weights)() = NULL;
corr_functions = AI_get_corr_functions( &n_corr_functions );
corr_weights = AI_get_corr_weights ( &n_corr_weights );
pthread_mutex_init ( &mutex, NULL );
/* Start the thread for parsing manual correlations from XML */
if ( pthread_create ( &manual_corr_thread, NULL, __AI_manual_correlations_parsing_thread, NULL ) != 0 )
{
AI_fatal_err ( "Failed to create the manual correlations parsing thread", __FILE__, __LINE__ );
}
while ( 1 )
{
sleep ( config->correlationGraphInterval );
if ( stat ( config->corr_rules_dir, &st ) < 0 )
{
_dpd.errMsg ( "AIPreproc: Correlation rules directory '%s' not found, the correlation thread won't be active\n",
config->corr_rules_dir );
pthread_exit (( void* ) 0 );
return ( void* ) 0;
}
/* Set the lock flag to true, and keep it this way until I've done with generating the new hyperalerts */
pthread_mutex_lock ( &mutex );
if ( alerts )
{
AI_free_alerts ( alerts );
alerts = NULL;
}
if ( !( alerts = AI_get_clustered_alerts() ))
{
pthread_mutex_unlock ( &mutex );
continue;
}
for ( alert_iterator = alerts; alert_iterator; alert_iterator = alert_iterator->next )
{
/* Check if my hash table of hyperalerts already contains info about this alert */
key.gid = alert_iterator->gid;
key.sid = alert_iterator->sid;
key.rev = alert_iterator->rev;
HASH_FIND ( hh, hyperalerts, &key, sizeof ( AI_hyperalert_key ), hyp );
/* If not, try to read info from the XML file, if it exists */
if ( !hyp )
{
/* If there is no hyperalert knowledge on XML for this alert, ignore it and get the next one */
if ( !( hyp = __AI_hyperalert_from_XML ( key )))
continue;
/* If the XML file exists and it's valid, add the hypertalert to the hash table */
HASH_ADD ( hh, hyperalerts, key, sizeof ( AI_hyperalert_key ), hyp );
}
/* Fill the hyper alert info for the current alert */
if ( !( alert_iterator->hyperalert = ( AI_hyperalert_info* ) malloc ( sizeof ( AI_hyperalert_info ))))
AI_fatal_err ( "Fatal dynamic memory allocation error", __FILE__, __LINE__ );
alert_iterator->hyperalert->key = hyp->key;
alert_iterator->hyperalert->n_preconds = hyp->n_preconds;
alert_iterator->hyperalert->n_postconds = hyp->n_postconds;
if ( !( alert_iterator->hyperalert->preconds = ( char** ) malloc ( alert_iterator->hyperalert->n_preconds * sizeof ( char* ))))
AI_fatal_err ( "Fatal dynamic memory allocation error", __FILE__, __LINE__ );
for ( i=0; i < alert_iterator->hyperalert->n_preconds; i++ )
alert_iterator->hyperalert->preconds[i] = strdup ( hyp->preconds[i] );
if ( !( alert_iterator->hyperalert->postconds = ( char** ) malloc ( alert_iterator->hyperalert->n_postconds * sizeof ( char* ))))
AI_fatal_err ( "Fatal dynamic memory allocation error", __FILE__, __LINE__ );
for ( i=0; i < alert_iterator->hyperalert->n_postconds; i++ )
alert_iterator->hyperalert->postconds[i] = strdup ( hyp->postconds[i] );
__AI_macro_subst ( &alert_iterator );
}
__AI_correlation_table_cleanup();
correlation_table = NULL;
/* Fill the table of correlated alerts */
for ( alert_iterator = alerts; alert_iterator; alert_iterator = alert_iterator->next )
{
for ( alert_iterator2 = alerts; alert_iterator2; alert_iterator2 = alert_iterator2->next )
{
if ( alert_iterator != alert_iterator2 && ! (
alert_iterator->gid == alert_iterator2->gid &&
alert_iterator->sid == alert_iterator2->sid &&
alert_iterator->rev == alert_iterator2->rev ))
{
if ( !( corr = ( AI_alert_correlation* ) malloc ( sizeof ( AI_alert_correlation ))))
AI_fatal_err ( "Fatal dynamic memory allocation error", __FILE__, __LINE__ );
corr_key.a = alert_iterator;
corr_key.b = alert_iterator2;
corr->key = corr_key;
corr->correlation = 0.0;
n_correlations = 0;
kb_correlation = __AI_kb_correlation_coefficient ( corr_key.a, corr_key.b );
bayesian_correlation = AI_alert_bayesian_correlation ( corr_key.a, corr_key.b );
neural_correlation = AI_alert_neural_som_correlation ( corr_key.a, corr_key.b );
/* Use the correlation indexes for which we have a value */
if ( bayesian_correlation != 0.0 && config->bayesianCorrelationInterval != 0 )
{
corr->correlation += AI_bayesian_correlation_weight() * bayesian_correlation;
n_correlations++;
}
if ( kb_correlation != 0.0 )
{
corr->correlation += kb_correlation;
n_correlations++;
}
if ( neural_correlation != 0.0 && config->neuralNetworkTrainingInterval != 0 )
{
corr->correlation += AI_neural_correlation_weight() * neural_correlation;
n_correlations++;
}
/* Get the correlation indexes from extra correlation modules */
if (( corr_functions ))
{
for ( i=0; i < n_corr_functions; i++ )
{
if ( corr_weights[i]() != 0.0 )
{
corr->correlation += corr_weights[i]() * corr_functions[i] ( corr_key.a, corr_key.b );
n_correlations++;
}
}
}
if ( n_correlations != 0 )
{
corr->correlation /= (double) n_correlations;
}
HASH_ADD ( hh, correlation_table, key, sizeof ( AI_alert_correlation_key ), corr );
}
}
}
if ( HASH_COUNT ( correlation_table ) > 0 )
{
avg_correlation = 0.0;
std_deviation = 0.0;
/* Compute the average correlation coefficient */
for ( corr = correlation_table; corr; corr = ( AI_alert_correlation* ) corr->hh.next )
{
avg_correlation += corr->correlation;
}
avg_correlation /= (double) HASH_COUNT ( correlation_table );
/* Compute the standard deviation */
for ( corr = correlation_table; corr; corr = ( AI_alert_correlation* ) corr->hh.next )
{
std_deviation += ( corr->correlation - avg_correlation ) * ( corr->correlation - avg_correlation );
}
std_deviation = sqrt ( std_deviation / (double) HASH_COUNT ( correlation_table ));
corr_threshold = avg_correlation + ( config->correlationThresholdCoefficient * std_deviation );
snprintf ( corr_dot_file, sizeof ( corr_dot_file ), "%s/correlated_alerts.dot", config->corr_alerts_dir );
if ( stat ( config->corr_alerts_dir, &st ) < 0 )
{
if ( mkdir ( config->corr_alerts_dir, 0755 ) < 0 )
{
AI_fatal_err ( "Unable to create directory the correlated alerts directory", __FILE__, __LINE__ );
}
} else if ( !S_ISDIR ( st.st_mode )) {
AI_fatal_err ( "The specified directory for correlated alerts is not a directory", __FILE__, __LINE__ );
}
if ( !( fp = fopen ( corr_dot_file, "w" )))
AI_fatal_err ( "Could not write on the correlated alerts .dot file", __FILE__, __LINE__ );
fprintf ( fp, "digraph G {\n" );
/* Find correlated alerts */
for ( corr = correlation_table; corr; corr = ( AI_alert_correlation* ) corr->hh.next )
{
pair_key.from_sid = corr->key.a->sid;
pair_key.from_gid = corr->key.a->gid;
pair_key.from_rev = corr->key.a->rev;
pair_key.to_sid = corr->key.b->sid;
pair_key.to_gid = corr->key.b->gid;
pair_key.to_rev = corr->key.b->rev;
HASH_FIND ( hh, manual_correlations, &pair_key, sizeof ( pair_key ), pair );
HASH_FIND ( hh, manual_uncorrelations, &pair_key, sizeof ( pair_key ), unpair );
/* Yes, BlackLight wrote this line of code in a pair of minutes and immediately
* compiled it without a single error */
if ( !unpair && ( pair || (
corr->correlation >= corr_threshold &&
corr_threshold != 0.0 &&
corr->key.a->timestamp <= corr->key.b->timestamp && ! (
corr->key.a->gid == corr->key.b->gid &&
corr->key.a->sid == corr->key.b->sid &&
corr->key.a->rev == corr->key.b->rev ) && (
corr->key.a->ip_src_addr == corr->key.b->ip_src_addr || (
(corr->key.a->h_node[src_addr] && corr->key.b->h_node[src_addr]) ?
( corr->key.a->h_node[src_addr]->max_val == corr->key.b->h_node[src_addr]->max_val &&
corr->key.a->h_node[src_addr]->min_val == corr->key.b->h_node[src_addr]->min_val ) : 0
)) && (
corr->key.a->ip_dst_addr == corr->key.b->ip_dst_addr || (
(corr->key.a->h_node[dst_addr] && corr->key.b->h_node[dst_addr]) ?
( corr->key.a->h_node[dst_addr]->max_val == corr->key.b->h_node[dst_addr]->max_val &&
corr->key.a->h_node[dst_addr]->min_val == corr->key.b->h_node[dst_addr]->min_val ) : 0
))
)
)
) {
if ( !( corr->key.a->derived_alerts = ( AI_snort_alert** ) realloc ( corr->key.a->derived_alerts, (++corr->key.a->n_derived_alerts) * sizeof ( AI_snort_alert* ))))
AI_fatal_err ( "Fatal dynamic memory allocation error", __FILE__, __LINE__ );
if ( !( corr->key.b->parent_alerts = ( AI_snort_alert** ) realloc ( corr->key.b->parent_alerts, (++corr->key.b->n_parent_alerts) * sizeof ( AI_snort_alert* ))))
AI_fatal_err ( "Fatal dynamic memory allocation error", __FILE__, __LINE__ );
corr->key.a->derived_alerts[ corr->key.a->n_derived_alerts - 1 ] = corr->key.b;
corr->key.b->parent_alerts [ corr->key.b->n_parent_alerts - 1 ] = corr->key.a;
__AI_correlated_alerts_to_dot ( corr, fp );
if ( config->outdbtype != outdb_none )
{
AI_store_correlation_to_db ( corr );
}
}
}
fprintf ( fp, "}\n" );
fclose ( fp );
#ifdef HAVE_LIBGVC
snprintf ( corr_png_file, sizeof ( corr_png_file ), "%s/correlated_alerts.png", config->corr_alerts_dir );
snprintf ( corr_ps_file , sizeof ( corr_ps_file ), "%s/correlated_alerts.ps" , config->corr_alerts_dir );
if ( !( gvc = gvContext() ))
continue;
if ( !( fp = fopen ( corr_dot_file, "r" )))
continue;
if ( !( g = agread ( fp )))
continue;
gvLayout ( gvc, g, "dot" );
gvRenderFilename ( gvc, g, "png", corr_png_file );
gvRenderFilename ( gvc, g, "ps" , corr_ps_file );
gvFreeLayout ( gvc, g );
agclose ( g );
fclose ( fp );
#endif
/* If no database output is defined, then the alerts have no alert_id, so we cannot use the
* web interface for correlating them, as they have no unique identifier */
if ( config->outdbtype != outdb_none )
{
if ( strlen ( config->webserv_dir ) != 0 )
{
__AI_correlated_alerts_to_json ();
}
}
}
pthread_mutex_unlock ( &mutex );
}
pthread_exit (( void* ) 0 );
return (void*) 0;
} /* ----- end of function AI_alert_correlation_thread ----- */
/** @} */
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