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Intel
Operation ID | Description | ||||
---|---|---|---|---|---|
|
Get info about actors that match provided FQL filters. | ||||
|
Get info about indicators that match provided FQL filters. | ||||
|
Get info about reports that match provided FQL filters. | ||||
|
Retrieve specific actors using their actor IDs. | ||||
|
Retrieve specific indicators using their indicator IDs. | ||||
|
Return a Report PDF attachment | ||||
|
Retrieve specific reports using their report IDs. | ||||
|
Download earlier rule sets. | ||||
|
Download the latest rule set. | ||||
|
Retrieve details for rule sets for the specified ids. | ||||
|
Get actor IDs that match provided FQL filters. | ||||
|
Get indicators IDs that match provided FQL filters. | ||||
|
Get report IDs that match provided FQL filters. | ||||
|
Search for rule IDs that match provided filter criteria. |
Get info about actors that match provided FQL filters.
query_actor_entities
- Produces: application/json
Required | Name | Type | Datatype | Description |
---|---|---|---|---|
offset | query | integer | Set the starting row number to return actors from. Defaults to 0. | |
limit | query | integer | Set the number of actors to return. The value must be between 1 and 5000. | |
sort | query | string | Order fields in ascending or descending order. Ex: created_date | |
filter | query | string | Filter your query by specifying FQL filter parameters. Filter parameters include: actors, actors.id, actors.name, actors.slug, actors.url, created_date, description, id, last_modified_date, motivations, motivations.id, motivations.slug, motivations.value, name, name.raw, short_description, slug, sub_type, sub_type.id, sub_type.name, sub_type.slug, tags, tags.id, tags.slug, tags.value, target_countries, target_countries.id, target_countries.slug, target_countries.value, target_industries, target_industries.id, target_industries.slug, target_industries.value, type, type.id, type.name, type.slug, url. | |
q | query | string | Perform a generic substring search across all fields. | |
fields | query | array (string) | The fields to return, or a predefined set of fields in the form of the collection name surrounded by two underscores like: . Ex: slug full. Defaults to basic. |
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
response = falcon.query_actor_entities(offset=integer,
limit=integer,
sort="string",
filter="string",
q="string",
fields=["string", "string"]
)
print(response)
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
response = falcon.QueryIntelActorEntities(offset=integer,
limit=integer,
sort="string",
filter="string",
q="string",
fields=["string", "string"]
)
print(response)
from falconpy.api_complete import APIHarness
falcon = APIHarness(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
PARAMS = {
"offset": integer,
"limit": integer,
"sort": "string",
"filter": "string",
"q": "string",
"fields": [
"string",
"string"
]
}
response = falcon.command("QueryIntelActorEntities", parameters=PARAMS)
print(response)
Get info about indicators that match provided FQL filters.
query_indicator_entities
- Produces: application/json
Required | Name | Type | Datatype | Description |
---|---|---|---|---|
offset | query | integer | Set the starting row number to return indicators from. Defaults to 0. | |
limit | query | integer | Set the number of indicators to return. The number must be between 1 and 50000 | |
sort | query | string | Order fields in ascending or descending order. Ex: published_date | |
filter | query | string | Filter your query by specifying FQL filter parameters. Filter parameters include: _marker, actors, deleted, domain_types, id, indicator, ip_address_types, kill_chains, labels, labels.created_on, labels.last_valid_on, labels.name, last_updated, malicious_confidence, malware_families, published_date, reports, targets, threat_types, type, vulnerabilities. | |
q | query | string | Perform a generic substring search across all fields. | |
include_deleted | query | boolean | If true, include both published and deleted indicators in the response. Defaults to false. |
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
response = falcon.query_indicator_entities(offset=integer,
limit=integer,
sort="string",
filter="string",
q="string",
include_deleted=boolean
)
print(response)
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
response = falcon.QueryIntelIndicatorEntities(offset=integer,
limit=integer,
sort="string",
filter="string",
q="string",
include_deleted=boolean
)
print(response)
from falconpy.api_complete import APIHarness
falcon = APIHarness(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
PARAMS = {
"offset": integer,
"limit": integer,
"sort": "string",
"filter": "string",
"q": "string",
"include_deleted": boolean
}
response = falcon.command("QueryIntelIndicatorEntities", parameters=PARAMS)
print(response)
Get info about reports that match provided FQL filters.
query_report_entities
- Produces: application/json
Required | Name | Type | Datatype | Description |
---|---|---|---|---|
offset | query | integer | Set the starting row number to return reports from. Defaults to 0. | |
limit | query | integer | Set the number of reports to return. The value must be between 1 and 5000. | |
sort | query | string | Order fields in ascending or descending order. Ex: created_date | |
filter | query | string | Filter your query by specifying FQL filter parameters. Filter parameters include: actors, actors.id, actors.name, actors.slug, actors.url, created_date, description, id, last_modified_date, motivations, motivations.id, motivations.slug, motivations.value, name, name.raw, short_description, slug, sub_type, sub_type.id, sub_type.name, sub_type.slug, tags, tags.id, tags.slug, tags.value, target_countries, target_countries.id, target_countries.slug, target_countries.value, target_industries, target_industries.id, target_industries.slug, target_industries.value, type, type.id, type.name, type.slug, url. | |
q | query | string | Perform a generic substring search across all fields. | |
fields | query | array (string) | The fields to return, or a predefined set of fields in the form of the collection name surrounded by two underscores like: . Ex: slug full. Defaults to basic. |
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
response = falcon.query_report_entities(offset=integer,
limit=integer,
sort="string",
filter="string",
q="string",
fields=["string", "string"]
)
print(response)
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
response = falcon.QueryIntelReportEntities(offset=integer,
limit=integer,
sort="string",
filter="string",
q="string",
fields=["string", "string"]
)
print(response)
from falconpy.api_complete import APIHarness
falcon = APIHarness(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
PARAMS = {
"offset": integer,
"limit": integer,
"sort": "string",
"filter": "string",
"q": "string",
"fields": [
"string",
"string"
]
}
response = falcon.command("QueryIntelReportEntities", parameters=PARAMS)
print(response)
Retrieve specific actors using their actor IDs.
get_actor_entities
- Produces: application/json
Required | Name | Type | Datatype | Description |
---|---|---|---|---|
✅ | ids | query | array (string) | The IDs of the actors you want to retrieve. |
fields | query | array (string) | The fields to return, or a predefined set of fields in the form of the collection name surrounded by two underscores like: . Ex: slug full. Defaults to basic. |
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.get_actor_entities(fields=["string", "string"], ids=id_list)
print(response)
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.GetIntelActorEntities(fields=["string", "string"], ids=id_list)
print(response)
from falconpy.api_complete import APIHarness
falcon = APIHarness(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
PARAMS = {
"fields": [
"string",
"string"
]
}
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.command("GetIntelActorEntities", parameters=PARAMS, ids=id_list)
print(response)
Retrieve specific indicators using their indicator IDs.
get_indicator_entities
- Consumes: application/json
- Produces: application/json
Required | Name | Type | Datatype | Description |
---|---|---|---|---|
✅ | body | body | string |
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
BODY = {
"Body Payload": "See body description above"
}
response = falcon.get_indicator_entities(body=BODY)
print(response)
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
BODY = {
"Body Payload": "See body description above"
}
response = falcon.GetIntelIndicatorEntities(body=BODY)
print(response)
from falconpy.api_complete import APIHarness
falcon = APIHarness(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
BODY = {
"Body Payload": "See body description above"
}
response = falcon.command("GetIntelIndicatorEntities", body=BODY)
print(response)
Return a Report PDF attachment
get_report_pdf
- Produces: application/octet-stream
Required | Name | Type | Datatype | Description |
---|---|---|---|---|
✅ | id | query | string | The ID of the report you want to download as a PDF. |
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
save_file = "some_file.ext"
response = falcon.get_report_pdf(id="string")
open(save_file, 'wb').write(response)
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
save_file = "some_file.ext"
response = falcon.GetIntelReportPDF(id="string")
open(save_file, 'wb').write(response)
from falconpy.api_complete import APIHarness
falcon = APIHarness(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
PARAMS = {
"id": "string"
}
save_file = "some_file.ext"
response = falcon.command("GetIntelReportPDF", parameters=PARAMS)
open(save_file, 'wb').write(response)
Retrieve specific reports using their report IDs.
get_report_entities
- Produces: application/json
Required | Name | Type | Datatype | Description |
---|---|---|---|---|
✅ | ids | query | array (string) | The IDs of the reports you want to retrieve. |
fields | query | array (string) | The fields to return, or a predefined set of fields in the form of the collection name surrounded by two underscores like: . Ex: slug full. Defaults to basic. |
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.get_report_entities(fields=["string", "string"], ids=id_list)
print(response)
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.GetIntelReportEntities(fields=["string", "string"], ids=id_list)
print(response)
from falconpy.api_complete import APIHarness
falcon = APIHarness(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
PARAMS = {
"fields": [
"string",
"string"
]
}
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.command("GetIntelReportEntities", parameters=PARAMS, ids=id_list)
print(response)
Download earlier rule sets.
get_rule_file
- Produces: application/zip
Required | Name | Type | Datatype | Description |
---|---|---|---|---|
Accept | header | string | Choose the format you want the rule set in. | |
✅ | id | query | integer | The ID of the rule set. |
format | query | string | Choose the format you want the rule set in. Valid formats are zip and gzip. Defaults to zip. |
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
HEADERS = {
"Accept": "string"
}
save_file = "some_file.zip"
response = falcon.get_rule_file(id=integer, format="string", headers=HEADERS)
open(save_file, 'wb').write(response)
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
HEADERS = {
"Accept": "string"
}
save_file = "some_file.zip"
response = falcon.GetIntelRuleFile(id=integer, format="string", headers=HEADERS)
open(save_file, 'wb').write(response)
from falconpy.api_complete import APIHarness
falcon = APIHarness(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
PARAMS = {
"id": integer,
"format": "string"
}
HEADERS = {
"Accept": "string"
}
save_file = "some_file.zip"
response = falcon.command("GetIntelRuleFile", parameters=PARAMS, headers=HEADERS)
open(save_file, 'wb').write(response)
Download the latest rule set.
get_latest_rule_file
- Produces: application/zip
Required | Name | Type | Datatype | Description |
---|---|---|---|---|
Accept | header | string | Choose the format you want the rule set in. | |
✅ | type | query | string | The rule news report type. Accepted values: snort-suricata-master snort-suricata-update snort-suricata-changelog yara-master yara-update yara-changelog common-event-format netwitness |
format | query | string | Choose the format you want the rule set in. Valid formats are zip and gzip. Defaults to zip. |
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
HEADERS = {
"Accept": "string"
}
save_file = "some_file.zip"
response = falcon.get_latest_rule_file(type="string", format="string", headers=HEADERS)
open(save_file, 'wb').write(response)
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
HEADERS = {
"Accept": "string"
}
save_file = "some_file.zip"
response = falcon.GetLatestIntelRuleFile(type="string", format="string", headers=HEADERS)
open(save_file, 'wb').write(response)
from falconpy.api_complete import APIHarness
falcon = APIHarness(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
PARAMS = {
"type": "string",
"format": "string"
}
HEADERS = {
"Accept": "string"
}
save_file = "some_file.zip"
response = falcon.command("GetLatestIntelRuleFile", parameters=PARAMS, headers=HEADERS)
open(save_file, 'wb').write(response)
Retrieve details for rule sets for the specified ids.
get_rule_entities
- Produces: application/json
Required | Name | Type | Datatype | Description |
---|---|---|---|---|
✅ | ids | query | array (string) | The ids of rules to return. |
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.get_rule_entities(ids=id_list)
print(response)
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.GetIntelRuleEntities(ids=id_list)
print(response)
from falconpy.api_complete import APIHarness
falcon = APIHarness(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.command("GetIntelRuleEntities", ids=id_list)
print(response)
Get actor IDs that match provided FQL filters.
query_actor_ids
- Produces: application/json
Required | Name | Type | Datatype | Description |
---|---|---|---|---|
offset | query | integer | Set the starting row number to return actors IDs from. Defaults to 0. | |
limit | query | integer | Set the number of actor IDs to return. The value must be between 1 and 5000. | |
sort | query | string | Order fields in ascending or descending order. Ex: created_date | |
filter | query | string | Filter your query by specifying FQL filter parameters. Filter parameters include: actors, actors.id, actors.name, actors.slug, actors.url, created_date, description, id, last_modified_date, motivations, motivations.id, motivations.slug, motivations.value, name, name.raw, short_description, slug, sub_type, sub_type.id, sub_type.name, sub_type.slug, tags, tags.id, tags.slug, tags.value, target_countries, target_countries.id, target_countries.slug, target_countries.value, target_industries, target_industries.id, target_industries.slug, target_industries.value, type, type.id, type.name, type.slug, url. | |
q | query | string | Perform a generic substring search across all fields. |
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
response = falcon.query_actor_ids(offset=integer,
limit=integer,
sort="string",
filter="string",
q="string"
)
print(response)
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
response = falcon.QueryIntelActorIds(offset=integer,
limit=integer,
sort="string",
filter="string",
q="string"
)
print(response)
from falconpy.api_complete import APIHarness
falcon = APIHarness(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
PARAMS = {
"offset": integer,
"limit": integer,
"sort": "string",
"filter": "string",
"q": "string"
}
response = falcon.command("QueryIntelActorIds", parameters=PARAMS)
print(response)
Get indicators IDs that match provided FQL filters.
query_indicator_ids
- Produces: application/json
Required | Name | Type | Datatype | Description |
---|---|---|---|---|
offset | query | integer | Set the starting row number to return indicator IDs from. Defaults to 0. | |
limit | query | integer | Set the number of indicator IDs to return. The number must be between 1 and 50000 | |
sort | query | string | Order fields in ascending or descending order. Ex: published_date | |
filter | query | string | Filter your query by specifying FQL filter parameters. Filter parameters include: _marker, actors, deleted, domain_types, id, indicator, ip_address_types, kill_chains, labels, labels.created_on, labels.last_valid_on, labels.name, last_updated, malicious_confidence, malware_families, published_date, reports, targets, threat_types, type, vulnerabilities. | |
q | query | string | Perform a generic substring search across all fields. | |
include_deleted | query | boolean | If true, include both published and deleted indicators in the response. Defaults to false. |
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
response = falcon.query_indicator_ids(offset=integer,
limit=integer,
sort="string",
filter="string",
q="string",
include_deleted=boolean
)
print(response)
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
response = falcon.QueryIntelIndicatorIds(offset=integer,
limit=integer,
sort="string",
filter="string",
q="string",
include_deleted=boolean
)
print(response)
from falconpy.api_complete import APIHarness
falcon = APIHarness(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
PARAMS = {
"offset": integer,
"limit": integer,
"sort": "string",
"filter": "string",
"q": "string",
"include_deleted": boolean
}
response = falcon.command("QueryIntelIndicatorIds", parameters=PARAMS)
print(response)
Get report IDs that match provided FQL filters.
query_report_ids
- Produces: application/json
Required | Name | Type | Datatype | Description |
---|---|---|---|---|
offset | query | integer | Set the starting row number to return report IDs from. Defaults to 0. | |
limit | query | integer | Set the number of report IDs to return. The value must be between 1 and 5000. | |
sort | query | string | Order fields in ascending or descending order. Ex: created_date | |
filter | query | string | Filter your query by specifying FQL filter parameters. Filter parameters include: actors, actors.id, actors.name, actors.slug, actors.url, created_date, description, id, last_modified_date, motivations, motivations.id, motivations.slug, motivations.value, name, name.raw, short_description, slug, sub_type, sub_type.id, sub_type.name, sub_type.slug, tags, tags.id, tags.slug, tags.value, target_countries, target_countries.id, target_countries.slug, target_countries.value, target_industries, target_industries.id, target_industries.slug, target_industries.value, type, type.id, type.name, type.slug, url. | |
q | query | string | Perform a generic substring search across all fields. |
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
response = falcon.query_report_ids(offset=integer,
limit=integer,
sort="string",
filter="string",
q="string"
)
print(response)
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
response = falcon.QueryIntelReportIds(offset=integer,
limit=integer,
sort="string",
filter="string",
q="string"
)
print(response)
from falconpy.api_complete import APIHarness
falcon = APIHarness(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
PARAMS = {
"offset": integer,
"limit": integer,
"sort": "string",
"filter": "string",
"q": "string"
}
response = falcon.command("QueryIntelReportIds", parameters=PARAMS)
print(response)
Search for rule IDs that match provided filter criteria.
query_rule_ids
- Produces: application/json
Required | Name | Type | Datatype | Description |
---|---|---|---|---|
offset | query | integer | Set the starting row number to return reports from. Defaults to 0. | |
limit | query | integer | The number of rule IDs to return. Defaults to 10. | |
sort | query | string | Order fields in ascending or descending order. Ex: created_date | |
name | query | array (string) | Search by rule title. | |
✅ | type | query | string | The rule news report type. Accepted values: snort-suricata-master snort-suricata-update snort-suricata-changelog yara-master yara-update yara-changelog common-event-format netwitness |
description | query | array (string) | Substring match on description field. | |
tags | query | array (string) | Search for rule tags. | |
min_created_date | query | integer | Filter results to those created on or after a certain date. | |
max_created_date | query | string | Filter results to those created on or before a certain date. | |
q | query | string | Perform a generic substring search across all fields. |
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
response = falcon.query_rule_ids(offset=integer,
limit=integer,
sort="string",
name=["string", "string"],
type="string",
description=["string", "string"],
tags=["string", "string"],
min_created_date=integer,
max_created_date="string",
q="string"
)
print(response)
from falconpy.intel import Intel
falcon = Intel(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
response = falcon.QueryIntelRuleIds(offset=integer,
limit=integer,
sort="string",
name=["string", "string"],
type="string",
description=["string", "string"],
tags=["string", "string"],
min_created_date=integer,
max_created_date="string",
q="string"
)
print(response)
from falconpy.api_complete import APIHarness
falcon = APIHarness(client_id="API_CLIENT_ID_HERE",
client_secret="API_CLIENT_SECRET_HERE"
)
PARAMS = {
"offset": integer,
"limit": integer,
"sort": "string",
"name": [
"string",
"string"
],
"type": "string",
"description": [
"string",
"string"
],
"tags": [
"string",
"string"
],
"min_created_date": integer,
"max_created_date": "string",
"q": "string"
}
response = falcon.command("QueryIntelRuleIds", parameters=PARAMS)
print(response)
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