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Correlation Rules
| Operation ID | Description | ||||
|---|---|---|---|---|---|
|
Get rules aggregates as specified via json in the request body. | ||||
|
Find all rules matching the query and filter. | ||||
|
Find all rules matching the query and filter. | ||||
|
Retrieve latest rule versions by rule IDs | ||||
|
Export rule versions | ||||
|
Import rule versions | ||||
|
Publish existing rule version | ||||
|
Delete versions by IDs | ||||
|
Retrieve rules by IDs. | ||||
|
Create a correlation rule. | ||||
|
Delete rules by IDs. | ||||
|
Update a correlation rule. | ||||
|
Retrieve rule versions by IDs | ||||
|
Find all rule IDs matching the query and filter. | ||||
|
Find all rule version IDs matching the query and filter. | ||||
WARNING
client_idandclient_secretare keyword arguments that contain your CrowdStrike API credentials. Please note that all examples below do not hard code these values. (These values are ingested as strings.)CrowdStrike does not recommend hard coding API credentials or customer identifiers within source code.
Get rules aggregates as specified via json in the request body.
aggregate_rule_versions
| Method | Route |
|---|---|
/correlation-rules/aggregates/rule-versions/v1 |
- Consumes: application/json
- Produces: application/json
| Name | Service | Uber | Type | Data type | Description |
|---|---|---|---|---|---|
| body | body | dictionary | Full body payload provided as a dictionary. | ||
| filter | query | string | FQL query specifying the filter parameters. | ||
| ids | query | string or list of strings | Correlation rule IDs. | ||
| parameters | query | dictionary | Full query parameters payload as a dictionary, not required when using other keywords. |
from falconpy.correlation_rules import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
body_payload = { }
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.aggregate_rule_versions(body=body_payload, filter="string", ids=id_list)
print(response)from falconpy import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
body_payload = { }
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.aggregates_rule_versions_post_v1(body=body_payload, filter="string", ids=id_list)
print(response)from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
body_payload = { }
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.command("aggregates_rule_versions_post_v1", body=body_payload, filter="string", ids=id_list)
print(response)Find all rules matching the query and filter.
get_rules_combined
| Method | Route |
|---|---|
/correlation-rules/combined/rules/v1 |
- Produces: application/json
| Name | Service | Uber | Type | Data type | Description |
|---|---|---|---|---|---|
| filter | query | string | FQL query specifying the filter parameters. Available filters:
last_updated_on
|
||
| q | query | string | Match query criteria, which includes all the filter string fields. | ||
| sort | query | string | Rule property to sort on. | ||
| offset | query | integer | Starting index of overall result set from which to return IDs. | ||
| limit | query | integer | Number of IDs to return. | ||
| parameters | query | dictionary | Full query parameters payload as a dictionary, not required when using other keywords. |
from falconpy import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.get_rules_combined(filter="string",
q="string",
sort="string",
offset=integer,
limit=integer
)
print(response)from falconpy import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.combined_rules_get_v1(filter="string",
q="string",
sort="string",
offset=integer,
limit=integer
)
print(response)from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.command("combined_rules_get_v1",
filter="string",
q="string",
sort="string",
offset=integer,
limit=integer
)
print(response)Find all rules matching the query and filter.
get_rules_combined_v2
| Method | Route |
|---|---|
/correlation-rules/combined/rules/v2 |
- Produces: application/json
| Name | Service | Uber | Type | Data type | Description |
|---|---|---|---|---|---|
| filter | query | string | FQL query specifying the filter parameters. Available filters:
last_updated_on
|
||
| q | query | string | Match query criteria, which includes all the filter string fields. | ||
| sort | query | string | Rule property to sort on. | ||
| offset | query | integer | Starting index of overall result set from which to return IDs. | ||
| limit | query | integer | Number of IDs to return. | ||
| parameters | query | dictionary | Full query parameters payload as a dictionary, not required when using other keywords. |
from falconpy.correlation_rules import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.get_rules_combined_v2(filter="string",
q="string",
sort="string",
offset=integer,
limit=integer
)
print(response)from falconpy import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.combined_rules_get_v2(filter="string",
q="string",
sort="string",
offset=integer,
limit=integer
)
print(response)from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.command("combined_rules_get_v2",
filter="string",
q="string",
sort="string",
offset=integer,
limit=integer
)
print(response)Retrieve latest rule versions by rule IDs.
get_latest_rule_versions
| Method | Route |
|---|---|
/correlation-rules/entities/latest-rules/v1 |
- Produces: application/json
| Name | Service | Uber | Type | Data type | Description |
|---|---|---|---|---|---|
| parameters | query | dictionary | Full query parameters payload as a dictionary, not required when using other keywords. | ||
| rule_ids | query | string or list of strings | The rule IDs to retrieve. |
from falconpy.correlation_rules import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
rule_id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.get_latest_rule_versions(rule_ids=rule_id_list)
print(response)from falconpy import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
rule_id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.entities_latest_rules_get_v1(rule_ids=rule_id_list)
print(response)from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
rule_id_list = ['ID1', 'ID2', 'ID3']
response = falcon.command("entities_latest_rules_get_v1", rule_ids=rule_id_list)
print(response)Export rule versions.
export_rule
| Method | Route |
|---|---|
/correlation-rules/entities/rule-versions/export/v1 |
- Consumes: application/json
- Produces: application/json
| Name | Service | Uber | Type | Data type | Description |
|---|---|---|---|---|---|
| body | body | dictionary | Full body payload provided as a dictionary. | ||
| filter | body | string | Filter to use for export. | ||
| get_latest | body | boolean | Flag indicating if the latest rule version should be exported. | ||
| report_format | body | string | Format to use for rule export. | ||
| search | body | dictionary | Rule search to perform. Overrides filter and sort keywords. |
||
| sort | body | string | Sort to use for rule export. |
from falconpy.correlation_rules import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.export_rule(filter="string",
get_latest=boolean,
report_format="string",
sort="string"
)
print(response)from falconpy import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.entities_rule_versions_export_post_v1(filter="string",
get_latest=boolean,
report_format="string",
sort="string"
)
print(response)from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
body_payload = {
"get_latest": boolean,
"report_format": "string",
"search": {
"filter": "string",
"sort": "string"
}
}
response = falcon.command("entities_rule_versions_export_post_v1", body=body_payload)
print(response)Import rule versions.
import_rule
| Method | Route |
|---|---|
/correlation-rules/entities/rule-versions/import/v1 |
- Consumes: multipart/form-data
- Produces: application/json
| Name | Service | Uber | Type | Data type | Description |
|---|---|---|---|---|---|
| body | body | dictionary | Rule to be imported. Not required if using the rule keyword. |
||
| rule | body | dictionary | Rule to be imported (Service Class only). |
from falconpy.correlation_rules import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
rule_json = {
"description": "test_string",
"name": "test_string",
"search": {
"filter": "string",
"lookback": "string",
"outcome": "string",
"trigger_mode": "string"
},
}
response = falcon.import_rule(rule=rule_json)
print(response)from falconpy import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
rule_json = {
"description": "test_string",
"name": "test_string",
"search": {
"filter": "string",
"lookback": "string",
"outcome": "string",
"trigger_mode": "string"
},
}
response = falcon.entities_rule_versions_import_post_v1(rule=rule_json)
print(response)from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
body_payload = {
"description": "test_string",
"name": "test_string",
"search": {
"filter": "string",
"lookback": "string",
"outcome": "string",
"trigger_mode": "string"
},
}
response = falcon.command("entities_rule_versions_import_post_v1", body=body_payload)
print(response)Publish existing rule version.
publish_rule_version
| Method | Route |
|---|---|
/correlation-rules/entities/rule-versions/publish/v1 |
- Consumes: application/json
- Produces: application/json
| Name | Service | Uber | Type | Data type | Description |
|---|---|---|---|---|---|
| body | body | dictionary | Full body payload provided as a dictionary. | ||
| id | body | string | Correlation rule version ID to publish. |
from falconpy.correlation_rules import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.publish_rule_version(id="string")
print(response)from falconpy import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.entities_rule_versions_publish_patch_v1(id="string")
print(response)from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
body_payload = {
"id": "string"
}
response = falcon.command("entities_rule_versions_publish_patch_v1", body=body_payload)
print(response)Delete versions by IDs.
delete_rule_versions
| Method | Route |
|---|---|
/correlation-rules/entities/rule-versions/v1 |
- Produces: application/json
| Name | Service | Uber | Type | Data type | Description |
|---|---|---|---|---|---|
| ids | query | string or list of strings | The rule version IDs to be deleted. | ||
| parameters | query | dictionary | Full query parameters payload as a dictionary, not required when using other keywords. |
from falconpy.correlation_rules import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.delete_rule_versions(ids=id_list)
print(response)from falconpy import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.entities_rule_versions_delete_v1(ids=id_list)
print(response)from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.command("entities_rule_versions_delete_v1", ids=id_list)
print(response)Retrieve rules by IDs.
get_rules
| Method | Route |
|---|---|
/correlation-rules/entities/rules/v1 |
- Produces: application/json
| Name | Service | Uber | Type | Data type | Description |
|---|---|---|---|---|---|
| ids | query | string or list of strings | The rule IDs to be retrieved. | ||
| parameters | query | dictionary | Full query parameters payload as a dictionary, not required when using other keywords. |
from falconpy import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.get_rules(ids=id_list)
print(response)from falconpy import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.entities_rules_get_v1(ids=id_list)
print(response)from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.command("entities_rules_get_v1", ids=id_list)
print(response)Retrieve rule versions by IDs
get_rules_v2
| Method | Route |
|---|---|
/correlation-rules/entities/rules/v2 |
- Produces: application/json
| Name | Service | Uber | Type | Data type | Description |
|---|---|---|---|---|---|
| ids | query | string or list of strings | The rule IDs to be retrieved. | ||
| parameters | query | dictionary | Full query parameters payload as a dictionary, not required when using other keywords. |
from falconpy.correlation_rules import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.get_rules_v2(ids=id_list)
print(response)from falconpy import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.entities_rules_get_v2(ids=id_list)
print(response)from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.command("entities_rules_get_v2", ids=id_list)
print(response)Create a correlation rule.
create_rule
| Method | Route |
|---|---|
/correlation-rules/entities/rules/v1 |
- Consumes: application/json
- Produces: application/json
| Name | Service | Uber | Type | Data type | Description |
|---|---|---|---|---|---|
| body | body | dictionary | Full body payload provided as a dictionary. | ||
| comment | body | string | Correlation rule comment. | ||
| customer_id | body | string | CID for the tenant. | ||
| description | body | string | Correlation rule description. | ||
| name | body | string | Correlation rule name. | ||
| notifications | body | list of dictionaries | List of notifications to implement. | ||
| operation | body | dictionary | Operation to perform. | ||
| search | body | dictionary | Search to perform. | ||
| severity | body | integer | Correlation severity. | ||
| status | body | string | Correlation rule status. | ||
| tactic | body | string | Identified tactic. | ||
| technique | body | string | Identified technique. | ||
| trigger_on_create | body | boolean | Flag indicating if the rule triggers on creation. |
from falconpy import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
notifications_list = [
{
"config": {
"cid": "string",
"config_id": "string",
"plugin_id": "string",
"recipients": [
"string"
],
"severity": "string"
},
"options": {
"additionalProp1": "string",
"additionalProp2": "string",
"additionalProp3": "string"
},
"type": "string"
}
]
operation_dictionary = {
"schedule": {
"definition": "string"
},
"start_on": "2025-02-12T02:11:22.284Z",
"stop_on": "2025-02-12T02:11:22.284Z"
}
search_dictionary = {
"filter": "string",
"lookback": "string",
"outcome": "string",
"trigger_mode": "string"
}
response = falcon.create_rule(comment="string",
customer_id="string",
description="string",
name="string",
notifications=notifications_list,
operation=operation_dictionary,
search=search_dictionary,
severity=integer,
status="string",
tactic="string",
technique="string",
trigger_on_create=boolean
)
print(response)from falconpy import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
notifications_list = [
{
"config": {
"cid": "string",
"config_id": "string",
"plugin_id": "string",
"recipients": [
"string"
],
"severity": "string"
},
"options": {
"additionalProp1": "string",
"additionalProp2": "string",
"additionalProp3": "string"
},
"type": "string"
}
]
operation_dictionary = {
"schedule": {
"definition": "string"
},
"start_on": "2025-02-12T02:11:22.284Z",
"stop_on": "2025-02-12T02:11:22.284Z"
}
search_dictionary = {
"filter": "string",
"lookback": "string",
"outcome": "string",
"trigger_mode": "string"
}
response = falcon.entities_rules_post_v1(comment="string",
customer_id="string",
description="string",
name="string",
notifications=notifications_list,
operation=operation_dictionary,
search=search_dictionary,
severity=integer,
status="string",
tactic="string",
technique="string",
trigger_on_create=boolean
)
print(response)from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
body_payload = {
"comment": "string",
"customer_id": "string",
"description": "string",
"name": "string",
"notifications": [
{
"config": {
"cid": "string",
"config_id": "string",
"plugin_id": "string",
"recipients": [
"string"
],
"severity": "string"
},
"options": {
"additionalProp1": "string",
"additionalProp2": "string",
"additionalProp3": "string"
},
"type": "string"
}
],
"operation": {
"schedule": {
"definition": "string"
},
"start_on": "2025-02-12T02:11:22.284Z",
"stop_on": "2025-02-12T02:11:22.284Z"
},
"search": {
"filter": "string",
"lookback": "string",
"outcome": "string",
"trigger_mode": "string"
},
"severity": 0,
"status": "string",
"tactic": "string",
"technique": "string",
"trigger_on_create": boolean
}
response = falcon.command("entities_rules_post_v1", body=body_payload)
print(response)Delete rules by IDs.
delete_rules
| Method | Route |
|---|---|
/correlation-rules/entities/rules/v1 |
- Produces: application/json
| Name | Service | Uber | Type | Data type | Description |
|---|---|---|---|---|---|
| ids | query | string or list of strings | The rule IDs to be deleted. | ||
| parameters | query | dictionary | Full query parameters payload as a dictionary, not required when using other keywords. |
from falconpy import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.delete_rules(ids=id_list)
print(response)from falconpy import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.entities_rules_delete_v1(ids=id_list)
print(response)from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.command("entities_rules_delete_v1", ids=id_list)
print(response)Update a correlation rule.
update_rule
| Method | Route |
|---|---|
/correlation-rules/entities/rules/v1 |
- Consumes: application/json
- Produces: application/json
| Name | Service | Uber | Type | Data type | Description |
|---|---|---|---|---|---|
| body | body | dictionary | Full body payload provided as a dictionary. | ||
| comment | body | string | Correlation rule comment. | ||
| customer_id | body | string | CID for the tenant. | ||
| description | body | string | Correlation rule description. | ||
| id | body | string | Correlation rule ID to update. | ||
| name | body | string | Correlation rule name. | ||
| notifications | body | list of dictionaries | List of notifications to implement. | ||
| operation | body | dictionary | Operation to perform. | ||
| search | body | dictionary | Search to perform. | ||
| severity | body | integer | Correlation severity. | ||
| status | body | string | Correlation rule status. | ||
| tactic | body | string | Identified tactic. | ||
| technique | body | string | Identified technique. | ||
| trigger_on_create | body | boolean | Flag indicating if the rule triggers on creation. |
from falconpy import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
notifications_list = [
{
"config": {
"cid": "string",
"config_id": "string",
"plugin_id": "string",
"recipients": [
"string"
],
"severity": "string"
},
"options": {
"additionalProp1": "string",
"additionalProp2": "string",
"additionalProp3": "string"
},
"type": "string"
}
]
operation_dictionary = {
"schedule": {
"definition": "string"
},
"start_on": "2025-02-12T02:11:22.284Z",
"stop_on": "2025-02-12T02:11:22.284Z"
}
search_dictionary = {
"filter": "string",
"lookback": "string",
"outcome": "string",
"trigger_mode": "string"
}
response = falcon.update_rule(comment="string",
customer_id="string",
description="string",
id="string",
name="string",
notifications=notifications_list,
operation=operation_dictionary,
search=search_dictionary,
severity=integer,
status="string",
tactic="string",
technique="string",
trigger_on_create=boolean
)
print(response)from falconpy import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
notifications_list = [
{
"config": {
"cid": "string",
"config_id": "string",
"plugin_id": "string",
"recipients": [
"string"
],
"severity": "string"
},
"options": {
"additionalProp1": "string",
"additionalProp2": "string",
"additionalProp3": "string"
},
"type": "string"
}
]
operation_dictionary = {
"schedule": {
"definition": "string"
},
"start_on": "2025-02-12T02:11:22.284Z",
"stop_on": "2025-02-12T02:11:22.284Z"
}
search_dictionary = {
"filter": "string",
"lookback": "string",
"outcome": "string",
"trigger_mode": "string"
}
response = falcon.entities_rules_patch_v1(comment="string",
customer_id="string",
description="string",
id="string",
name="string",
notifications=notifications_list,
operation=operation_dictionary,
search=search_dictionary,
severity=integer,
status="string",
tactic="string",
technique="string",
trigger_on_create=boolean
)
print(response)from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
body_payload = [{
"comment": "string",
"customer_id": "string",
"description": "string",
"id": "string",
"name": "string",
"notifications": [
{
"config": {
"cid": "string",
"config_id": "string",
"plugin_id": "string",
"recipients": [
"string"
],
"severity": "string"
},
"options": {
"additionalProp1": "string",
"additionalProp2": "string",
"additionalProp3": "string"
},
"type": "string"
}
],
"operation": {
"schedule": {
"definition": "string"
},
"start_on": "2025-02-12T02:11:22.284Z",
"stop_on": "2025-02-12T02:11:22.284Z"
},
"search": {
"filter": "string",
"lookback": "string",
"outcome": "string",
"trigger_mode": "string"
},
"severity": 0,
"status": "string",
"tactic": "string",
"technique": "string",
"trigger_on_create": boolean
}]
response = falcon.command("entities_rules_patch_v1", body=body_payload)
print(response)Find all rule IDs matching the query and filter.
query_rules
| Method | Route |
|---|---|
/correlation-rules/queries/rules/v1 |
- Produces: application/json
| Name | Service | Uber | Type | Data type | Description |
|---|---|---|---|---|---|
| filter | query | string | FQL query specifying the filter parameters. Available filters:
last_updated_on
|
||
| q | query | string | Match query criteria, which includes all the filter string fields. | ||
| sort | query | string | Rule property to sort on. | ||
| offset | query | integer | Starting index of overall result set from which to return IDs. | ||
| limit | query | integer | Number of IDs to return. | ||
| parameters | query | dictionary | Full query parameters payload as a dictionary, not required when using other keywords. |
from falconpy import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.query_rules(filter="string",
q="string",
sort="string",
offset=integer,
limit=integer
)
print(response)from falconpy import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.queries_rules_get_v1(filter="string",
q="string",
sort="string",
offset=integer,
limit=integer
)
print(response)from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.command("queries_rules_get_v1",
filter="string",
q="string",
sort="string",
offset=integer,
limit=integer
)
print(response)Find all rule version IDs matching the query and filter.
query_rules_v2
| Method | Route |
|---|---|
/correlation-rules/queries/rules/v2 |
- Produces: application/json
| Name | Service | Uber | Type | Data type | Description |
|---|---|---|---|---|---|
| filter | query | string | FQL query specifying the filter parameters. Available filters:
last_updated_on
|
||
| q | query | string | Match query criteria, which includes all the filter string fields. | ||
| sort | query | string | Rule property to sort on. | ||
| offset | query | integer | Starting index of overall result set from which to return IDs. | ||
| limit | query | integer | Number of IDs to return. | ||
| parameters | query | dictionary | Full query parameters payload as a dictionary, not required when using other keywords. |
from falconpy.correlation_rules import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.query_rules_v2(filter="string",
q="string",
sort="string",
offset=integer,
limit=integer
)
print(response)from falconpy import CorrelationRules
falcon = CorrelationRules(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.queries_rules_get_v2(filter="string",
q="string",
sort="string",
offset=integer,
limit=integer
)
print(response)from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.command("queries_rules_get_v2",
filter="string",
q="string",
sort="string",
offset=integer,
limit=integer
)
print(response)
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