Using the ODS (On Demand Scan) 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.

aggregate_query_scan_host_metadata

Get aggregates on ODS scan-hosts data.

PEP8 method name

aggregate_scan_hosts

Endpoint

Method	Route
	/ods/aggregates/scan-hosts/v1

Required Scope

Content-Type

• Produces: application/json

Keyword Arguments

Name	Service	Uber	Type	Data type	Description
body			body	list of dictionaries	Full body payload in JSON format.
date_ranges			body	list of dictionaries	Applies to date_range aggregations. Example: [   {     "from": "2016-05-28T09:00:31Z",     "to": "2016-05-30T09:00:31Z"   },   {     "from": "2016-06-01T09:00:31Z",     "to": "2016-06-10T09:00:31Z"   } ]
exclude			body	string	Elements to exclude.
field			body	string	The field on which to compute the aggregation.
filter			body	string	FQL syntax formatted string to use to filter the results.
from			body	integer	Starting position.
include			body	string	Elements to include.
interval			body	string	Time interval for date histogram aggregations. Valid values include: year month week day hour minute
max_doc_count			body	integer	Only return buckets if values are less than or equal to the value here.
min_doc_count			body	integer	Only return buckets if values are greater than or equal to the value here.
missing			body	string	Missing is the value to be used when the aggregation field is missing from the object. In other words, the missing parameter defines how documents that are missing a value should be treated. By default they will be ignored, but it is also possible to treat them as if they had a value.
name			body	string	Name of the aggregate query, as chosen by the user. Used to identify the results returned to you.
q			body	string	Full text search across all metadata fields.
ranges			body	list of dictionaries	Applies to range aggregations. Ranges values will depend on field. For example, if max_severity is used, ranges might look like: [   {     "From": 0,     "To": 70   },   {     "From": 70,     "To": 100   } ]
size			body	integer	The max number of term buckets to be returned.
sub_aggregates			body	list of dictionaries	A nested aggregation, such as: [   {     "name": "max_first_behavior",     "type": "max",     "field": "first_behavior"   } ] There is a maximum of 3 nested aggregations per request.
sort			body	string	FQL syntax string to sort bucket results. _count - sort by document count _term - sort by the string value alphabetically Supports asc and desc using | format. Example: _count|desc
time_zone			body	string	Time zone for bucket results.
type			body	string	Type of aggregation. Valid values include: date_histogram - Aggregates counts on a specified time interval. Requires use of “interval” field. date_range - Aggregates counts on custom defined date range buckets. Can include multiple ranges. (Similar to time series, but the bucket sizes are variable). Date formats to follow ISO 8601. terms - Buckets alerts by the value of a specified field. For example, if field used is scenario, then alerts will be bucketed by the various alert scenario names. range - Buckets alerts by specified (numeric) ranges of a specified field. For example, if doing a range aggregation on the max_severity field, the alerts will be counted by the specified ranges of severity. cardinality - Returns the count of distinct values in a specified field. max - Returns the maximum value of a specified field. min - Returns the minimum value of a specified field. avg - Returns the average value of the specified field. sum - Returns the total sum of all values for the specified field. percentiles - Returns the following percentiles for the specified field: 1, 5, 25, 50, 75, 95, 99.

Usage

Service class example (PEP8 syntax)

from falconpy import ODS

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

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.aggregate_scan_hosts(date_ranges=date_ranges,
                                       exclude="string",
                                       field="string",
                                       filter="string",
                                       from=integer,
                                       include="string",
                                       interval="string",
                                       max_doc_count=integer,
                                       min_doc_count=integer,
                                       missing="string",
                                       name="string",
                                       q="string",
                                       ranges=ranges,
                                       size=integer,
                                       sort="string",
                                        time_zone="string",
                                       type="string"
                                       )

print(response)

Service class example (Operation ID syntax)

from falconpy import ODS

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

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.aggregate_query_scan_host_metadata(date_ranges=date_ranges,
                                                     exclude="string",
                                                     field="string",
                                                     filter="string",
                                                     from=integer,
                                                     include="string",
                                                     interval="string",
                                                     max_doc_count=integer,
                                                     min_doc_count=integer,
                                                     missing="string",
                                                     name="string",
                                                     q="string",
                                                     ranges=ranges,
                                                     size=integer,
                                                     sort="string",
                                                     time_zone="string",
                                                     type="string"
                                                     )

print(response)

Uber class example

from falconpy import APIHarnessV2

falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

BODY = [{
    "date_ranges": date_ranges,
    "exclude": "string",
    "field": "string",
    "filter": "string",
    "from": integer,
    "include": "string",
    "interval": "string",
    "max_doc_count": integer,
    "min_doc_count": integer,
    "missing": "string",
    "name": "string",
    "q": "string",
    "ranges": ranges,
    "size": integer,
    "sort": "string",
    "sub_aggregates": [
        null
    ]
    "time_zone": "string",
    "type": "string"
}]

response = falcon.command("aggregate_query_scan_host_metadata", body=BODY)

print(response)

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aggregate_scans

Get aggregates on ODS scan data.

PEP8 method name

aggregate_scans

Endpoint

Method	Route
	/ods/aggregates/scans/v1

Required Scope

Content-Type

• Produces: application/json

Keyword Arguments

Name	Service	Uber	Type	Data type	Description
body			body	list of dictionaries	Full body payload in JSON format.
date_ranges			body	list of dictionaries	Applies to date_range aggregations. Example: [   {     "from": "2016-05-28T09:00:31Z",     "to": "2016-05-30T09:00:31Z"   },   {     "from": "2016-06-01T09:00:31Z",     "to": "2016-06-10T09:00:31Z"   } ]
exclude			body	string	Elements to exclude.
field			body	string	The field on which to compute the aggregation.
filter			body	string	FQL syntax formatted string to use to filter the results.
from			body	integer	Starting position.
include			body	string	Elements to include.
interval			body	string	Time interval for date histogram aggregations. Valid values include: year month week day hour minute
max_doc_count			body	integer	Only return buckets if values are less than or equal to the value here.
min_doc_count			body	integer	Only return buckets if values are greater than or equal to the value here.
missing			body	string	Missing is the value to be used when the aggregation field is missing from the object. In other words, the missing parameter defines how documents that are missing a value should be treated. By default they will be ignored, but it is also possible to treat them as if they had a value.
name			body	string	Name of the aggregate query, as chosen by the user. Used to identify the results returned to you.
q			body	string	Full text search across all metadata fields.
ranges			body	list of dictionaries	Applies to range aggregations. Ranges values will depend on field. For example, if max_severity is used, ranges might look like: [   {     "From": 0,     "To": 70   },   {     "From": 70,     "To": 100   } ]
size			body	integer	The max number of term buckets to be returned.
sub_aggregates			body	list of dictionaries	A nested aggregation, such as: [   {     "name": "max_first_behavior",     "type": "max",     "field": "first_behavior"   } ] There is a maximum of 3 nested aggregations per request.
sort			body	string	FQL syntax string to sort bucket results. _count - sort by document count _term - sort by the string value alphabetically Supports asc and desc using | format. Example: _count|desc
time_zone			body	string	Time zone for bucket results.
type			body	string	Type of aggregation. Valid values include: date_histogram - Aggregates counts on a specified time interval. Requires use of “interval” field. date_range - Aggregates counts on custom defined date range buckets. Can include multiple ranges. (Similar to time series, but the bucket sizes are variable). Date formats to follow ISO 8601. terms - Buckets alerts by the value of a specified field. For example, if field used is scenario, then alerts will be bucketed by the various alert scenario names. range - Buckets alerts by specified (numeric) ranges of a specified field. For example, if doing a range aggregation on the max_severity field, the alerts will be counted by the specified ranges of severity. cardinality - Returns the count of distinct values in a specified field. max - Returns the maximum value of a specified field. min - Returns the minimum value of a specified field. avg - Returns the average value of the specified field. sum - Returns the total sum of all values for the specified field. percentiles - Returns the following percentiles for the specified field: 1, 5, 25, 50, 75, 95, 99.

Usage

Service class example (PEP8 / Operation ID syntax)

from falconpy import ODS

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

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.aggregate_scans(date_ranges=date_ranges,
                                  exclude="string",
                                  field="string",
                                  filter="string",
                                  from=integer,
                                  include="string",
                                  interval="string",
                                  max_doc_count=integer,
                                  min_doc_count=integer,
                                  missing="string",
                                  name="string",
                                  q="string",
                                  ranges=ranges,
                                  size=integer,
                                  sort="string",
                                  time_zone="string",
                                  type="string"
                                  )

print(response)

Uber class example

from falconpy import APIHarnessV2

falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

BODY = [{
    "date_ranges": date_ranges,
    "exclude": "string",
    "field": "string",
    "filter": "string",
    "from": integer,
    "include": "string",
    "interval": "string",
    "max_doc_count": integer,
    "min_doc_count": integer,
    "missing": "string",
    "name": "string",
    "q": "string",
    "ranges": ranges,
    "size": integer,
    "sort": "string",
    "sub_aggregates": [
        null
    ]
    "time_zone": "string",
    "type": "string"
}]

response = falcon.command("aggregate_scans", body=BODY)

print(response)

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aggregate_scheduled_scans

Get aggregates on ODS scheduled-scan data.

PEP8 method name

aggregate_scheduled_scans

Endpoint

Method	Route
	/ods/aggregates/scheduled-scans/v1

Required Scope

Content-Type

• Produces: application/json

Keyword Arguments

Name	Service	Uber	Type	Data type	Description
body			body	list of dictionaries	Full body payload in JSON format.
date_ranges			body	list of dictionaries	Applies to date_range aggregations. Example: [   {     "from": "2016-05-28T09:00:31Z",     "to": "2016-05-30T09:00:31Z"   },   {     "from": "2016-06-01T09:00:31Z",     "to": "2016-06-10T09:00:31Z"   } ]
exclude			body	string	Elements to exclude.
field			body	string	The field on which to compute the aggregation.
filter			body	string	FQL syntax formatted string to use to filter the results.
from			body	integer	Starting position.
include			body	string	Elements to include.
interval			body	string	Time interval for date histogram aggregations. Valid values include: year month week day hour minute
max_doc_count			body	integer	Only return buckets if values are less than or equal to the value here.
min_doc_count			body	integer	Only return buckets if values are greater than or equal to the value here.
missing			body	string	Missing is the value to be used when the aggregation field is missing from the object. In other words, the missing parameter defines how documents that are missing a value should be treated. By default they will be ignored, but it is also possible to treat them as if they had a value.
name			body	string	Name of the aggregate query, as chosen by the user. Used to identify the results returned to you.
q			body	string	Full text search across all metadata fields.
ranges			body	list of dictionaries	Applies to range aggregations. Ranges values will depend on field. For example, if max_severity is used, ranges might look like: [   {     "From": 0,     "To": 70   },   {     "From": 70,     "To": 100   } ]
size			body	integer	The max number of term buckets to be returned.
sub_aggregates			body	list of dictionaries	A nested aggregation, such as: [   {     "name": "max_first_behavior",     "type": "max",     "field": "first_behavior"   } ] There is a maximum of 3 nested aggregations per request.
sort			body	string	FQL syntax string to sort bucket results. _count - sort by document count _term - sort by the string value alphabetically Supports asc and desc using | format. Example: _count|desc
time_zone			body	string	Time zone for bucket results.
type			body	string	Type of aggregation. Valid values include: date_histogram - Aggregates counts on a specified time interval. Requires use of “interval” field. date_range - Aggregates counts on custom defined date range buckets. Can include multiple ranges. (Similar to time series, but the bucket sizes are variable). Date formats to follow ISO 8601. terms - Buckets alerts by the value of a specified field. For example, if field used is scenario, then alerts will be bucketed by the various alert scenario names. range - Buckets alerts by specified (numeric) ranges of a specified field. For example, if doing a range aggregation on the max_severity field, the alerts will be counted by the specified ranges of severity. cardinality - Returns the count of distinct values in a specified field. max - Returns the maximum value of a specified field. min - Returns the minimum value of a specified field. avg - Returns the average value of the specified field. sum - Returns the total sum of all values for the specified field. percentiles - Returns the following percentiles for the specified field: 1, 5, 25, 50, 75, 95, 99.

Usage

Service class example (PEP8 / Operation ID syntax)

from falconpy import ODS

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

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

response = falcon.aggregate_scheduled_scans(date_ranges=date_ranges,
                                            exclude="string",
                                            field="string",
                                            filter="string",
                                            from=integer,
                                            include="string",
                                            interval="string",
                                            max_doc_count=integer,
                                            min_doc_count=integer,
                                            missing="string",
                                            name="string",
                                            q="string",
                                            ranges=ranges,
                                            size=integer,
                                            sort="string",
                                            time_zone="string",
                                            type="string"
                                            )

print(response)

Uber class example

from falconpy import APIHarnessV2

falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

date_ranges = [
    {
        "from": "2021-05-15T14:55:21.892315096Z",
        "to": "2021-05-17T13:42:16.493180643Z"
    }
]

ranges = [
    {
        "From": 1,
        "To": 100
    }
]

BODY = [{
    "date_ranges": date_ranges,
    "exclude": "string",
    "field": "string",
    "filter": "string",
    "from": integer,
    "include": "string",
    "interval": "string",
    "max_doc_count": integer,
    "min_doc_count": integer,
    "missing": "string",
    "name": "string",
    "q": "string",
    "ranges": ranges,
    "size": integer,
    "sort": "string",
    "sub_aggregates": [
        null
    ]
    "time_zone": "string",
    "type": "string"
}]

response = falcon.command("aggregate_scheduled_scans", body=BODY)

print(response)

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get_malicious_files_by_ids

Get malicious files by ids.

PEP8 method name

get_malicious_files

Endpoint

Method	Route
	/ods/entities/malicious-files/v1

Required Scope

Content-Type

• Produces: application/json

Keyword Arguments

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

Usage

Service class example (PEP8 / Operation ID syntax)

from falconpy import ODS

# Do not hardcode API credentials!
falcon = ODS(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_malicious_files(ids=id_list)

print(response)

Uber class example

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("get_malicious_files_by_ids", ids=id_list)

print(response)

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cancel_scans

Cancel ODS scans for the given scan ids.

PEP8 method name

cancel_scans

Endpoint

Method	Route
	/ods/entities/scan-control-actions/cancel/v1

Required Scope

Content-Type

• Produces: application/json

Keyword Arguments

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

Usage

Service class example (PEP8 / Operation ID syntax)

from falconpy import ODS

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

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

response = falcon.cancel_scans(ids=id_list)

print(response)

Uber class example

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("cancel_scans", ids=id_list)

print(response)

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get_scan_host_metadata_by_ids

Get scan hosts by ids.

PEP8 method name

get_scan_hosts

Endpoint

Method	Route
	/ods/entities/scan-hosts/v1

Required Scope

Content-Type

• Produces: application/json

Keyword Arguments

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

Usage

Service class example (PEP8 / Operation ID syntax)

from falconpy import ODS

# Do not hardcode API credentials!
falcon = ODS(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_scan_hosts(ids=id_list)

print(response)

Uber class example

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("get_scan_host_metadata_by_ids", ids=id_list)

print(response)

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get_scans_by_scan_ids_v1

Get Scans by IDs.

PEP8 method name

get_scans_by_scan_ids_v1

Endpoint

Method	Route
	/ods/entities/scans/v1

Required Scope

Content-Type

• Produces: application/json

Keyword Arguments

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

Usage

Service class example (PEP8 / Operation ID syntax)

from falconpy import ODS

# Do not hardcode API credentials!
falcon = ODS(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_scans_by_scan_ids_v1(ids=id_list)

print(response)

Uber class example

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("get_scans_by_scan_ids", ids=id_list)

print(response)

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get_scans_by_scan_ids_v2

Get Scans by IDs.

PEP8 method name

get_scans_by_scan_ids_v2 (or get_scans)

Endpoint

Method	Route
	/ods/entities/scans/v2

Required Scope

Content-Type

• Produces: application/json

Keyword Arguments

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

Usage

Service class example (PEP8 / Operation ID syntax)

from falconpy import ODS

# Do not hardcode API credentials!
falcon = ODS(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_scans(ids=id_list)

print(response)

Uber class example

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("get_scans_by_scan_ids_v2", ids=id_list)

print(response)

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create_scan

Create ODS scan and start or schedule scan for the given scan request.

PEP8 method name

create_scan

Endpoint

Method	Route
	/ods/entities/scans/v1

Required Scope

Content-Type

• Produces: application/json

Keyword Arguments

Name	Service	Uber	Type	Data type	Description
body			body	dictionary	Full body payload in JSON format.
cloud_ml_level_detection			body	integer	ML Detection level for the scan.
cloud_ml_level_prevention			body	integer	ML Prevention level for the scan.
cpu_priority			body	integer	Set the scan CPU priority.
description			body	string	Scan description.
endpoint_notification			body	boolean	Flag indicating if the endpoint should be notified of the results.
file_paths			body	list of strings	List of file paths to be scanned.
host_groups			body	list of strings	List of host groups to be scanned.
initiated_from			body	string	Scan origination.
max_duration			body	integer	Maximum time (in seconds) the scan is allowed to execute.
max_file_size			body	integer	Maximum file size (in bytes) to be scanned.
pause_duration			body	integer	Amount of time (in seconds) for scan pauses.
quarantine			body	boolean	Flag indicating if identified threats should be quarantined.
scan_exclusions			body	list of strings	List of excuded files or locations for this scan.
sensor_ml_level_detection			body	integer	Sensor ML detection level.
sensor_ml_level_prevention			body	integer	Sensor ML prevention level.

Usage

Service class example (PEP8 / Operation ID syntax)

from falconpy import ODS

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

file_paths = ["string", "string"]
host_groups = ["string", "string"]
exclusions = ["string", "string"]


response = falcon.create_scan(cloud_ml_level_detection=integer,
                              cloud_ml_level_prevetion=integer,
                              cpu_priority=integer,
                              description="string",
                              endpoint_notification=boolean,
                              file_paths=file_paths,
                              host_groups=host_groups,
                              initiated_from="string",
                              max_duration=integer,
                              max_file_size=integer,
                              pause_duration=integer,
                              quarantine=boolean,
                              scan_exclusions=exclusions,
                              sensor_ml_level_detection=integer,
                              sensor_ml_level_prevention=integer
                              )

print(response)

Uber class example

from falconpy import APIHarnessV2

falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

BODY = {
  "cloud_ml_level_detection": integer,
  "cloud_ml_level_prevention": integer,
  "cpu_priority": integer,
  "description": "string",
  "endpoint_notification": boolean,
  "file_paths": [
    "string"
  ],
  "host_groups": [
    "string"
  ],
  "hosts": [
    "string"
  ],
  "initiated_from": "string",
  "max_duration": integer,
  "max_file_size": integer,
  "pause_duration": integer,
  "quarantine": boolean,
  "scan_exclusions": [
    "string"
  ],
  "sensor_ml_level_detection": integer,
  "sensor_ml_level_prevention": integer
}

response = falcon.command("create_scan", body=BODY)

print(response)

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get_scheduled_scans_by_scan_ids

Get ScheduledScans by IDs.

PEP8 method name

get_scheduled_scans

Endpoint

Method	Route
	/ods/entities/scheduled-scans/v1

Required Scope

Content-Type

• Produces: application/json

Keyword Arguments

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

Usage

Service class example (PEP8 / Operation ID syntax)

from falconpy import ODS

# Do not hardcode API credentials!
falcon = ODS(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_scheduled_scans(ids=id_list)

print(response)

Uber class example

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("get_scheduled_scans_by_scan_ids", ids=id_list)

print(response)

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schedule_scan

Create ODS scan and start or schedule scan for the given scan request.

PEP8 method name

schedule_scan

Endpoint

Method	Route
	/ods/entities/scheduled-scans/v1

Required Scope

Content-Type

• Produces: application/json

Keyword Arguments

Name	Service	Uber	Type	Data type	Description
body			body	dictionary	Full body payload in JSON format.
cloud_ml_level_detection			body	integer	ML Detection level for the scan.
cloud_ml_level_prevention			body	integer	ML Prevention level for the scan.
cpu_priority			body	integer	Set the scan CPU priority.
description			body	string	Scan description.
endpoint_notification			body	boolean	Flag indicating if the endpoint should be notified of the results.
file_paths			body	list of strings	List of file paths to be scanned.
host_groups			body	list of strings	List of host groups to be scanned.
initiated_from			body	string	Scan origination.
max_duration			body	integer	Maximum time (in seconds) the scan is allowed to execute.
max_file_size			body	integer	Maximum file size (in bytes) to be scanned.
pause_duration			body	integer	Amount of time (in seconds) for scan pauses.
quarantine			body	boolean	Flag indicating if identified threats should be quarantined.
scan_exclusions			body	list of strings	List of excluded files or locations for this scan.
scan_inclusions			body	list of strings	List of included files or locations for this scan.
schedule			body	dictionary	Dictionary container the schedule for the scan. This dictionary will contain the ignored_by_channelfile (boolean), interval (integer) and start_timestamp (string) keys.
sensor_ml_level_detection			body	integer	Sensor ML detection level.
sensor_ml_level_prevention			body	integer	Sensor ML prevention level.

Usage

Service class example (PEP8 / Operation ID syntax)

from falconpy import ODS

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

file_paths = ["string", "string"]
host_groups = ["string", "string"]
exclusions = ["string", "string"]
inclusions = ["string", "string"]
schedule = {
    "ignored_by_channelfile": boolean,
    "interval": integer,
    "start_timestamp": "string"
}

response = falcon.schedule_scan(cloud_ml_level_detection=integer,
                                cloud_ml_level_prevetion=integer,
                                cpu_priority=integer,
                                description="string",
                                endpoint_notification=boolean,
                                file_paths=file_paths,
                                host_groups=host_groups,
                                initiated_from="string",
                                max_duration=integer,
                                max_file_size=integer,
                                pause_duration=integer,
                                quarantine=boolean,
                                scan_exclusions=exclusions,
                                scan_inclusions=inclusions,
                                schedule=schedule,
                                sensor_ml_level_detection=integer,
                                sensor_ml_level_prevention=integer
                                )

print(response)

Uber class example

from falconpy import APIHarnessV2

falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

BODY = {
  "cloud_ml_level_detection": integer,
  "cloud_ml_level_prevention": integer,
  "cpu_priority": integer,
  "description": "string",
  "endpoint_notification": boolean,
  "file_paths": [
    "string"
  ],
  "host_groups": [
    "string"
  ],
  "initiated_from": "string",
  "max_duration": integer,
  "max_file_size": integer,
  "pause_duration": integer,
  "quarantine": boolean,
  "scan_exclusions": [
    "string"
  ],
  "scan_inclusions": [
    "string"
  ],
  "schedule": {
    "ignored_by_channelfile": boolean,
    "interval": integer,
    "start_timestamp": "string"
  },
  "sensor_ml_level_detection": integer,
  "sensor_ml_level_prevention": integer
}


response = falcon.command("schedule_scan", body=BODY)

print(response)

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delete_scheduled_scans

Delete ODS scheduled-scans for the given scheduled-scan ids.

PEP8 method name

delete_scheduled_scans

Endpoint

Method	Route
	/ods/entities/scheduled-scans/v1

Required Scope

Content-Type

• Produces: application/json

Keyword Arguments

Name	Service	Uber	Type	Data type	Description
filter			query	string or list of strings	FQL compatible filter to use for selecting scan IDs.
ids			query	string or list of strings	Scan IDs to delete.
parameters			query	dictionary	Full query string parameters payload in JSON format.

Usage

Service class example (PEP8 / Operation ID syntax)

from falconpy import ODS

# Do not hardcode API credentials!
falcon = ODS(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_scheduled_scans(filter="string", ids=id_list)

print(response)

Uber class example

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("delete_scheduled_scans", filters="string", ids=id_list)

print(response)

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query_malicious_files

Query malicious files.

PEP8 method name

query_malicious_files

Endpoint

Method	Route
	/ods/queries/malicious-files/v1

Required Scope

Content-Type

• Produces: application/json

Keyword Arguments

Name	Service	Uber	Type	Data type	Description
filter			query	string	FQL Syntax formatted string used to limit the results. Available filters: id cid host_id scan_id host_scan_id filepath filename hash pattern_id severity quarantined last_updated
limit			query	integer	Maximum number of resources to return.
offset			query	integer	Starting index of overall result set from which to return ids.
sort			query	string	The property to sort by. (Ex: created_timestamp.desc)
parameters			query	dictionary	Full query string parameters payload in JSON format.

Usage

Service class example (PEP8 / Operation ID syntax)

from falconpy import ODS

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

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

print(response)

Uber class example

from falconpy import APIHarnessV2

falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

response = falcon.command("query_malicious_files",
                          filter="string",
                          limit=integer,
                          offset=integer,
                          sort="string"
                          )

print(response)

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query_scan_host_metadata

Query scan hosts.

PEP8 method name

query_scan_hosts

Endpoint

Method	Route
	/ods/queries/scan-hosts/v1

Required Scope

Content-Type

• Produces: application/json

Keyword Arguments

Name	Service	Uber	Type	Data type	Description
filter			query	string	FQL Syntax formatted string used to limit the results. Available filters: id cid profile_id host_id scan_id host_scan_id filecount.scanned filecount.malicious filecount.quarantined filecount.skipped affected_hosts_count status severity started_on completed_on last_updated
limit			query	integer	Maximum number of resources to return.
offset			query	integer	Starting index of overall result set from which to return ids.
sort			query	string	The property to sort by. (Ex: created_timestamp.desc)
parameters			query	dictionary	Full query string parameters payload in JSON format.

Usage

Service class example (PEP8 / Operation ID syntax)

from falconpy import ODS

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

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

print(response)

Uber class example

from falconpy import APIHarnessV2

falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

response = falcon.command("query_scan_host_metadata", 
                          filter="string",
                          limit=integer,
                          offset=integer,
                          sort="string"
                          )

print(response)

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query_scans

Query Scans.

PEP8 method name

query_scans

Endpoint

Method	Route
	/ods/queries/scans/v1

Required Scope

Content-Type

• Produces: application/json

Keyword Arguments

Name	Service	Uber	Type	Data type	Description
filter			query	string	FQL Syntax formatted string used to limit the results. Available filters: id cid profile_id description.keyword initiated_from filecount.scanned filecount.malicious filecount.quarantined filecount.skipped affected_hosts_count status severity scan_started_on scan_completed_on created_on created_by last_updated
limit			query	integer	Maximum number of resources to return.
offset			query	integer	Starting index of overall result set from which to return ids.
sort			query	string	The property to sort by. (Ex: created_timestamp.desc)
parameters			query	dictionary	Full query string parameters payload in JSON format.

Usage

Service class example (PEP8 / Operation ID syntax)

from falconpy import ODS

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

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

print(response)

Uber class example

from falconpy import APIHarnessV2

falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

response = falcon.command("query_scans", 
                          filter="string",
                          limit=integer,
                          offset=integer,
                          sort="string"
                          )

print(response)

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query_scheduled_scans

Query ScheduledScans.

PEP8 method name

query_scheduled_scans

Endpoint

Method	Route
	/ods/queries/scheduled-scans/v1

Required Scope

Content-Type

• Produces: application/json

Keyword Arguments

Name	Service	Uber	Type	Data type	Description
filter			query	string	FQL Syntax formatted string used to limit the results. Available filters: id cid description initiated_from status schedule.start_timestamp schedule.Interval created_on created_by last_updated deleted
limit			query	integer	Maximum number of resources to return.
offset			query	integer	Starting index of overall result set from which to return ids.
sort			query	string	The property to sort by. (Ex: created_timestamp.desc)
parameters			query	dictionary	Full query string parameters payload in JSON format.

Usage

Service class example (PEP8 / Operation ID syntax)

from falconpy import ODS

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

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

print(response)

Uber class example

from falconpy import APIHarnessV2

falcon = APIHarnessV2(client_id=CLIENT_ID,
                      client_secret=CLIENT_SECRET
                      )

response = falcon.command("query_scheduled_scans", 
                          filter="string",
                          limit=integer,
                          offset=integer,
                          sort="string"
                          )

print(response)

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