Records stored as a nested type for better querying, added source field so we can identify where the zone data derived (icann, axfr, breach, etc)
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@ -12,7 +12,7 @@ except ImportError:
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# Set a default elasticsearch index if one is not provided
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# Set a default elasticsearch index if one is not provided
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default_index = 'dns-zones'
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default_index = 'eris-zones'
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# Known DNS record types found in zone files
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# Known DNS record types found in zone files
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record_types = ('a','aaaa','caa','cdnskey','cds','cname','dnskey','ds','mx','naptr','ns','nsec','nsec3','nsec3param','ptr','rrsig','rp','sshfp','soa','srv','txt','type65534')
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record_types = ('a','aaaa','caa','cdnskey','cds','cname','dnskey','ds','mx','naptr','ns','nsec','nsec3','nsec3param','ptr','rrsig','rp','sshfp','soa','srv','txt','type65534')
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@ -29,7 +29,8 @@ def construct_map() -> dict:
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'mappings': {
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'mappings': {
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'properties': {
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'properties': {
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'domain' : keyword_mapping,
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'domain' : keyword_mapping,
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'records' : { 'properties': {} },
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'records' : { 'type': 'nested', 'properties': {} },
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'source' : { 'type': 'keyword' },
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'seen' : { 'type': 'date' }
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'seen' : { 'type': 'date' }
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}
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}
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}
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}
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@ -39,9 +40,10 @@ def construct_map() -> dict:
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for record_type in record_types:
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for record_type in record_types:
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if record_type in ('a','aaaa'):
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if record_type in ('a','aaaa'):
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mapping['mappings']['properties']['records']['properties'][record_type] = {
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mapping['mappings']['properties']['records']['properties'][record_type] = {
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'properties': {
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'type' : 'nested',
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'data': { 'type': 'ip' if record_type in ('a','aaaa') else keyword_mapping},
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'properties' : {
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'ttl': { 'type': 'integer' }
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'data' : { 'type': 'ip' if record_type in ('a','aaaa') else keyword_mapping },
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'ttl' : { 'type': 'integer' }
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}
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}
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}
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}
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@ -127,7 +129,8 @@ async def process_data(file_path: str):
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'_index' : default_index,
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'_index' : default_index,
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'_doc' : {
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'_doc' : {
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'domain' : domain,
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'domain' : domain,
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'records' : {record_type: [{'ttl': ttl, 'data': data}]},
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'records' : {record_type: [{'data': data, 'ttl': ttl}]},
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'source' : 'czds',
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'seen' : time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime()) # Zone files do not contain a timestamp, so we use the current time
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'seen' : time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime()) # Zone files do not contain a timestamp, so we use the current time
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},
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},
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'doc_as_upsert' : True # This will create the document if it does not exist
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'doc_as_upsert' : True # This will create the document if it does not exist
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