Using the Spotlight Evaluation Logic service collection
Table of Contents
Operation ID | Description | ||||
---|---|---|---|---|---|
| Search for evaluation logic in your environment by providing a FQL filter and paging details. Returns a set of evaluation logic entities which match the filter criteria. | ||||
| Get details on evaluation logic items by providing one or more IDs. | ||||
| Search for evaluation logic in your environment by providing a FQL filter and paging details. Returns a set of evaluation logic IDs which match the filter criteria. |
Passing credentials
WARNING
client_id
andclient_secret
are 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.
combinedQueryEvaluationLogic
Search for evaluation logic in your environment by providing a FQL filter and paging details. Returns a set of evaluation logic entities which match the filter criteria.
PEP8 method name
query_evaluation_logic_combined
Endpoint
Method | Route |
---|---|
/spotlight/combined/evaluation-logic/v1 |
Required Scope
Content-Type
- Produces: application/json
Keyword Arguments
Name | Service | Uber | Type | Data type | Description |
---|---|---|---|---|---|
after | query | string | A pagination token used with the limit parameter to manage pagination of results. On your first request, don't provide an after token. On subsequent requests, provide the after token from the previous response to continue from that place in the results. | ||
limit | query | integer | Maximum number of entities to return. | ||
filter | query | string | FQL query specifying the filter parameters. | ||
parameters | query | dictionary | Full query string parameters payload in JSON format. | ||
sort | query | string | Sort evaluation logic by their properties. |
Usage
Service class example (PEP8 syntax)
from falconpy.spotlight_evaluation_logic import SpotlightEvaluationLogic
# Do not hardcode API credentials!
falcon = SpotlightEvaluationLogic(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.query_evaluation_logic_combined(after="string",
limit=integer,
filter="string",
sort="string"
)
print(response)
Service class example (Operation ID syntax)
from falconpy import SpotlightEvaluationLogic
# Do not hardcode API credentials!
falcon = SpotlightEvaluationLogic(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.combinedQueryEvaluationLogic(after="string",
limit=integer,
filter="string",
sort="string"
)
print(response)
Uber class example
from falconpy import APIHarnessV2
# Do not hardcode API credentials!
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.command("combinedQueryEvaluationLogic",
after="string",
limit=integer,
filter="string",
sort="string"
)
print(response)
getEvaluationLogic
Get details on evaluation logic items by providing one or more IDs.
PEP8 method name
get_evaluation_logic
Endpoint
Method | Route |
---|---|
/spotlight/entities/evaluation-logic/v1 |
Required Scope
Content-Type
- Produces: application/json
Keyword Arguments
Name | Service | Uber | Type | Data type | Description |
---|---|---|---|---|---|
ids | query | list of strings | One or more evaluation logic IDs. | ||
parameters | query | dictionary | Full query string parameters payload in JSON format. |
Usage
Service class example (PEP8 syntax)
from falconpy.spotlight_evaluation_logic import SpotlightEvaluationLogic
# Do not hardcode API credentials!
falcon = SpotlightEvaluationLogic(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_evaluation_logic(ids=id_list)
print(response)
Service class example (Operation ID syntax)
from falconpy import SpotlightEvaluationLogic
# Do not hardcode API credentials!
falcon = SpotlightEvaluationLogic(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
id_list = 'ID1,ID2,ID3' # Can also pass a list here: ['ID1', 'ID2', 'ID3']
response = falcon.getEvaluationLogic(ids=id_list)
print(response)
Uber class example
from falconpy import APIHarnessV2
# Do not hardcode API credentials!
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("getEvaluationLogic", ids=id_list)
print(response)
queryEvaluationLogic
Search for evaluation logic in your environment by providing a FQL filter and paging details. Returns a set of evaluation logic IDs which match the filter criteria.
PEP8 method name
query_evaluation_logic
Endpoint
Method | Route |
---|---|
/spotlight/queries/evaluation-logic/v1 |
Required Scope
Content-Type
- Produces: application/json
Keyword Arguments
Name | Service | Uber | Type | Data type | Description |
---|---|---|---|---|---|
after | query | string | A pagination token used with the limit parameter to manage pagination of results. On your first request, don't provide an after token. On subsequent requests, provide the after token from the previous response to continue from that place in the results. | ||
limit | query | integer | Maximum number of entities to return. | ||
filter | query | string | FQL query specifying the filter parameters. | ||
parameters | query | dictionary | Full query string parameters payload in JSON format. | ||
sort | query | string | Sort evaluation logic by their properties. |
Usage
Service class example (PEP8 syntax)
from falconpy.spotlight_evaluation_logic import SpotlightEvaluationLogic
# Do not hardcode API credentials!
falcon = SpotlightEvaluationLogic(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.query_evaluation_logic(after="string",
limit=integer,
filter="string",
sort="string"
)
print(response)
Service class example (Operation ID syntax)
from falconpy import SpotlightEvaluationLogic
# Do not hardcode API credentials!
falcon = SpotlightEvaluationLogic(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.queryEvaluationLogic(after="string",
limit=integer,
filter="string",
sort="string"
)
print(response)
Uber class example
from falconpy import APIHarnessV2
# Do not hardcode API credentials!
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.command("queryEvaluationLogic",
after="string",
limit=integer,
filter="string",
sort="string"
)
print(response)