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Minor documentation cleanups.
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7 changed files with 78 additions and 58 deletions
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@ -1,8 +1,8 @@
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##! Cluster transparency support for the intelligence framework. This is mostly
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##! oriented toward distributing intelligence information across clusters.
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@load ./main
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@load base/frameworks/cluster
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@load ./input
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module Intel;
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@ -17,14 +17,17 @@ redef record Item += {
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redef have_full_data = F;
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@endif
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# Internal event for cluster data distribution.
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global cluster_new_item: event(item: Item);
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# Primary intelligence distribution comes from manager.
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# Primary intelligence management is done by the manager:
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# The manager informs the workers about new items and item removal.
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redef Cluster::manager2worker_events += /^Intel::(cluster_new_item|purge_item)$/;
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# If a worker finds intelligence and adds it, it should share it back to the manager.
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# A worker queries the manager to insert, remove or indicate the match of an item.
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redef Cluster::worker2manager_events += /^Intel::(cluster_new_item|remove_item|match_no_items)$/;
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@if ( Cluster::local_node_type() == Cluster::MANAGER )
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# Handling of new worker nodes.
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event remote_connection_handshake_done(p: event_peer)
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{
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# When a worker connects, send it the complete minimal data store.
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@ -35,25 +38,21 @@ event remote_connection_handshake_done(p: event_peer)
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}
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}
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# Handling of matches triggered by worker nodes.
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event Intel::match_no_items(s: Seen) &priority=5
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{
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if ( Intel::find(s) )
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event Intel::match(s, Intel::get_items(s));
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}
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# Handling of item removal triggered by worker nodes.
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event Intel::remove_item(item: Item, purge_indicator: bool)
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{
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remove(item, purge_indicator);
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}
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@endif
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event Intel::cluster_new_item(item: Intel::Item) &priority=5
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{
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# Ignore locally generated events to avoid event storms.
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if ( is_remote_event() )
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Intel::insert(item);
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}
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# Handling of item insertion.
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event Intel::new_item(item: Intel::Item) &priority=5
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{
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# The cluster manager always rebroadcasts intelligence.
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@ -65,3 +64,11 @@ event Intel::new_item(item: Intel::Item) &priority=5
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event Intel::cluster_new_item(item);
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}
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}
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# Handling of item insertion by remote node.
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event Intel::cluster_new_item(item: Intel::Item) &priority=5
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{
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# Ignore locally generated events to avoid event storms.
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if ( is_remote_event() )
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Intel::insert(item);
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}
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@ -22,8 +22,8 @@ export {
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## should go here to provide context to the data.
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f: fa_file &optional;
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## If the data was discovered within a file, the file uid should
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## go here to provide context to the data. If the *f* field is
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## provided, this will be automatically filled out.
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## go here to provide context to the data. If the file record *f*
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## is provided, this will be automatically filled out.
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fuid: string &optional;
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};
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@ -1,11 +1,14 @@
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##! Input handling for the intelligence framework. This script implements the
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##! import of intelligence data from files using the input framework.
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@load ./main
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module Intel;
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export {
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## Intelligence files that will be read off disk. The files are
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## reread every time they are updated so updates must be atomic with
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## "mv" instead of writing the file in place.
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## Intelligence files that will be read off disk. The files are
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## reread every time they are updated so updates must be atomic
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## with "mv" instead of writing the file in place.
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const read_files: set[string] = {} &redef;
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}
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@ -1,7 +1,6 @@
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##! The intelligence framework provides a way to store and query IP addresses,
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##! and strings (with a str_type). Metadata can
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##! also be associated with the intelligence, like for making more informed
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##! decisions about matching and handling of intelligence.
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##! The intelligence framework provides a way to store and query intelligence data
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##! (e.g. IP addresses, URLs and hashes). The intelligence items can be associated
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##! with metadata to allow informed decisions about matching and handling.
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@load base/frameworks/notice
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@ -31,15 +30,15 @@ export {
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## Public key MD5 hash. (SSH server host keys are a good example.)
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PUBKEY_HASH,
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};
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## Set of intelligence data types.
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type TypeSet: set[Type];
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## Data about an :bro:type:`Intel::Item`.
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type MetaData: record {
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## An arbitrary string value representing the data source.
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## Typically, the convention for this field will be the source
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## name and feed name separated by a hyphen.
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## For example: "source1-c&c".
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## An arbitrary string value representing the data source. This
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## value is used as unique key to identify a metadata record in
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## the scope of a single intelligence item.
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source: string;
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## A freeform description for the data.
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desc: string &optional;
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## The type of data that the indicator field represents.
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indicator_type: Type;
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## Metadata for the item. Typically represents more deeply
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## Metadata for the item. Typically represents more deeply
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## descriptive data for a piece of intelligence.
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meta: MetaData;
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};
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@ -117,11 +116,14 @@ export {
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sources: set[string] &log &default=string_set();
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};
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## Intelligence data manipulation function.
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## Function to insert intelligence data. If the indicator is already
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## present, the associated metadata will be added to the indicator. If
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## the indicator already contains a metadata record from the same source,
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## the existing metadata record will be updated.
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global insert: function(item: Item);
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## Function to remove intelligence data. If purge_indicator is set, the
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## given meta data is ignored and the indicator is removed completely.
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## given metadata is ignored and the indicator is removed completely.
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global remove: function(item: Item, purge_indicator: bool &default = F);
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## Function to declare discovery of a piece of data in order to check
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global seen: function(s: Seen);
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## Event to represent a match in the intelligence data from data that
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## was seen. On clusters there is no assurance as to where this event
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## was seen. On clusters there is no assurance as to when this event
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## will be generated so do not assume that arbitrary global state beyond
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## the given data will be available.
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##
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## This is the primary mechanism where a user will take actions based on
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## data within the intelligence framework.
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## This is the primary mechanism where a user may take actions based on
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## data provided by the intelligence framework.
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global match: event(s: Seen, items: set[Item]);
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## This hook can be used to extend the intel log by adding data to the
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## Info record. The default information is added with a priority of 5.
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## This hook can be used to influence the logging of intelligence hits
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## (e.g. by adding data to the Info record). The default information is
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## added with a priority of 5.
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##
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## info: The Info record that will be logged.
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##
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##
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## indicator_type: The indicator type of the expired item.
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##
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## metas: The set of meta data describing the expired item.
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## metas: The set of metadata describing the expired item.
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##
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## If all hook handlers are executed, the expiration timeout will be reset.
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## Otherwise, if one of the handlers terminates using break, the item will
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# if this is a cluster deployment or not.
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const have_full_data = T &redef;
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# Table of meta data, indexed by source string.
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# Table of metadata, indexed by source string.
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type MetaDataTable: table[string] of MetaData;
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# Expiration handlers.
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Log::create_stream(LOG, [$columns=Info, $ev=log_intel, $path="intel"]);
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}
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function find(s: Seen): bool
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{
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local ds = have_full_data ? data_store : min_data_store;
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if ( s?$host )
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{
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return ((s$host in ds$host_data) ||
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(|matching_subnets(addr_to_subnet(s$host), ds$subnet_data)| > 0));
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}
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else
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{
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return ([to_lower(s$indicator), s$indicator_type] in ds$string_data);
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}
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}
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# Function that abstracts expiration of different types.
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function expire_item(indicator: string, indicator_type: Type, metas: set[MetaData]): interval
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{
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return expire_item(indicator, indicator_type, metas);
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}
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# Function to abstract from different data stores for different indicator types.
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# Function to check for intelligence hits.
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function find(s: Seen): bool
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{
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local ds = have_full_data ? data_store : min_data_store;
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if ( s?$host )
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{
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return ((s$host in ds$host_data) ||
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(|matching_subnets(addr_to_subnet(s$host), ds$subnet_data)| > 0));
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}
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else
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{
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return ([to_lower(s$indicator), s$indicator_type] in ds$string_data);
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}
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}
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# Function to retrieve intelligence items while abstracting from different
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# data stores for different indicator types.
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function get_items(s: Seen): set[Item]
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{
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local return_data: set[Item];
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function insert(item: Item)
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{
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# Create and fill out the meta data item.
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# Create and fill out the metadata item.
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local meta = item$meta;
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local meta_tbl: table [string] of MetaData;
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local is_new: bool = T;
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if ( have_full_data )
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{
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# Insert new meta data or update if already present
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# Insert new metadata or update if already present
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meta_tbl[meta$source] = meta;
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}
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event Intel::new_item(item);
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}
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# Function to remove meta data of an item. The function returns T
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# if there is no meta data left for the given indicator.
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# Function to remove metadata of an item. The function returns T
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# if there is no metadata left for the given indicator.
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function remove_meta_data(item: Item): bool
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{
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if ( ! have_full_data )
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return;
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}
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# Remove meta data from manager's data store
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# Remove metadata from manager's data store
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local no_meta_data = remove_meta_data(item);
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# Remove whole indicator if necessary
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if ( no_meta_data || purge_indicator )
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delete data_store$string_data[item$indicator, item$indicator_type];
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break;
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}
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# Trigger deletion in min data stores
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# Trigger deletion in minimal data stores
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event Intel::purge_item(item);
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}
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}
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# Handling of indicator removal in minimal data stores.
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event purge_item(item: Item)
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{
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# Remove data from min data store
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switch ( item$indicator_type )
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{
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case ADDR:
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