Using the ML Exclusions service collection

Table of Contents

Passing credentials

WARNING

client_id and client_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.

getMLExclusionsV1

Get a set of ML Exclusions by specifying their IDs

PEP8 method name

get_exclusions

Endpoint

Method	Route
	/policy/entities/ml-exclusions/v1

Content-Type

• Produces: application/json

Keyword Arguments

Name	Service	Uber	Type	Data type	Description
ids			query	string or list of strings	The IDs of the exclusions to retrieve.
parameters			query	dictionary	Full query string parameters payload in JSON format.

Usage

Service class example (PEP8 syntax)

from falconpy import MLExclusions

# Do not hardcode API credentials!
falcon = MLExclusions(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_exclusions(ids=id_list)
print(response)

Service class example (Operation ID syntax)

from falconpy import MLExclusions

# Do not hardcode API credentials!
falcon = MLExclusions(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

id_list = 'ID1,ID2,ID3'  # Can also pass a list here: ['ID1', 'ID2', 'ID3']

response = falcon.getMLExclusionsV1(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("getMLExclusionsV1", ids=id_list)
print(response)

createMLExclusionsV1

Create the ML exclusions

PEP8 method name

create_exclusions

Endpoint

Method	Route
	/policy/entities/ml-exclusions/v1

Content-Type

• Produces: application/json

Keyword Arguments

Name	Service	Uber	Type	Data type	Description
body			body	dictionary	Full body payload in JSON format.
comment			body	string	String comment describing why the exclusions was created.
excluded_from			body	list of strings	Group ID(s) explicitly excluded from the exclusion.
groups			body	list of strings	Group ID(s) impacted by the exclusion. Defaults to ["all"] when not specified while using a Service Class. This default must be provided by the developer when using the Uber Class.
value			body	string	Value to match for the exclusion.

Usage

Service class example (PEP8 syntax)

from falconpy import MLExclusions

# Do not hardcode API credentials!
falcon = MLExclusions(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

group_list = ['ID1', 'ID2', 'ID3']
exclude_list = ['EX1', 'EX2', 'EX3']

response = falcon.create_exclusions(comment="string",
                                    groups=group_list,
                                    excluded_from=exclude_list,
                                    value="string"
                                    )
print(response)

Service class example (Operation ID syntax)

from falconpy import MLExclusions

# Do not hardcode API credentials!
falcon = MLExclusions(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

group_list = ['ID1', 'ID2', 'ID3']
exclude_list = ['EX1', 'EX2', 'EX3']

response = falcon.createMLExclusionsV1(comment="string",
                                       groups=group_list,
                                       excluded_from=exclude_list,
                                       value="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
                      )
group_list = ['ID1', 'ID2', 'ID3']  # If not specifying a group ID, you must submit ["all"].
exclude_list = ['EX1', 'EX2', 'EX3']

BODY = {
    "comment": "string",
    "excluded_from": exclude_list,
    "groups": group_list,
    "value": "string"
}

response = falcon.command("createMLExclusionsV1", body=BODY)
print(response)

deleteMLExclusionsV1

Delete the ML exclusions by id

PEP8 method name

delete_exclusions

Endpoint

Method	Route
	/policy/entities/ml-exclusions/v1

Content-Type

• Produces: application/json

Keyword Arguments

Name	Service	Uber	Type	Data type	Description
comment			query	string	Explains why this exclusion was deleted.
ids			query	string or list of strings	The IDs of the exclusions to retrieve.
parameters			query	dictionary	Full query string parameters payload in JSON format.

Usage

Service class example (PEP8 syntax)

from falconpy import MLExclusions

# Do not hardcode API credentials!
falcon = MLExclusions(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_exclusions(comment="string", ids=id_list)
print(response)

Service class example (Operation ID syntax)

from falconpy import MLExclusions

# Do not hardcode API credentials!
falcon = MLExclusions(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

id_list = 'ID1,ID2,ID3'  # Can also pass a list here: ['ID1', 'ID2', 'ID3']

response = falcon.deleteMLExclusionsV1(comment="string", 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("deleteMLExclusionsV1", comment="string", ids=id_list)
print(response)

updateMLExclusionsV1

Update the ML exclusions

PEP8 method name

update_exclusions

Endpoint

Method	Route
	/policy/entities/ml-exclusions/v1

Content-Type

• Produces: application/json

Keyword Arguments

Name	Service	Uber	Type	Data type	Description
body			body	dictionary	Full body payload in JSON format.
comment			body	string	String comment describing why the exclusions was created.
groups			body	list of strings	Group ID(s) impacted by the exclusion.
id			body	string	The ID of the exclusion to update.
value			body	string	Value to match for the exclusion.

Usage

Service class example (PEP8 syntax)

from falconpy import MLExclusions

# Do not hardcode API credentials!
falcon = MLExclusions(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

group_list = ['ID1', 'ID2', 'ID3']

response = falcon.update_exclusions(comment="string",
                                    groups=group_list,
                                    value="string",
                                    id="string"
                                    )
print(response)

Service class example (Operation ID syntax)

from falconpy import MLExclusions

# Do not hardcode API credentials!
falcon = MLExclusions(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

group_list = ['ID1', 'ID2', 'ID3']

response = falcon.updateMLExclusionsV1(comment="string",
                                       groups=group_list,
                                       value="string",
                                       id="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
                      )

group_list = ['ID1', 'ID2', 'ID3']

BODY = {
    "comment": "string",
    "groups": group_list,
    "id": "string",
    "value": "string"
}

response = falcon.command("updateMLExclusionsV1", body=BODY)
print(response)

queryMLExclusionsV1

Search for ML exclusions.

PEP8 method name

query_exclusions

Endpoint

Method	Route
	/policy/queries/ml-exclusions/v1

Content-Type

• Produces: application/json

Keyword Arguments

Name	Service	Uber	Type	Data type	Description
filter			query	string	The filter expression that should be used to limit the results. FQL syntax. Available filters: applied_globally created_by created_on last_modified modified_by value
limit			query	integer	The maximum number of records to return. [1-500]
offset			query	integer	The offset to start retrieving records from.
parameters			query	dictionary	Full query string parameters payload in JSON format.
sort			query	string	The property to sort by. FQL syntax. (e.g. last_behavior|asc) Available sort fields: applied_globally created_by created_on last_modified modified_by value

Usage

Service class example (PEP8 syntax)

from falconpy import MLExclusions

# Do not hardcode API credentials!
falcon = MLExclusions(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

response = falcon.query_exclusions(filter="string",
                                   offset=integer,
                                   limit=integer,
                                   sort="string"
                                   )
print(response)

Service class example (Operation ID syntax)

from falconpy import MLExclusions

# Do not hardcode API credentials!
falcon = MLExclusions(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

response = falcon.queryMLExclusionsV1(filter="string",
                                      offset=integer,
                                      limit=integer,
                                      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("queryMLExclusionsV1",
                          filter="string",
                          offset=integer,
                          limit=integer,
                          sort="string"
                          )
print(response)