Using the ODS (On Demand Scan) service collection

Uber class support Service class support Documentation Version Page Updated

Operation ID

Description

aggregate_query_scan_host_metadata
PEP8	aggregate_query_scan_host_metadata

Get aggregates on ODS scan-hosts data.

aggregate_scans
PEP8	aggregate_scans

Get aggregates on ODS scan data.

aggregate_scheduled_scans
PEP8	aggregate_scheduled_scans

Get aggregates on ODS scheduled-scan data.

get_malicious_files_by_ids
PEP8	get_malicious_files

Get malicious files by ids.

cancel_scans
PEP8	cancel_scans

Cancel ODS scans for the given scan ids.

get_scan_host_metadata_by_ids
PEP8	get_scan_hosts

Get scan hosts by ids.

get_scans_by_scan_ids_v1
PEP8	get_scans_by_scan_ids_v1

Get Scans by IDs.

get_scans_by_scan_ids_v2
PEP8	get_scans_by_scan_ids_v2

Get Scans by IDs.

create_scan
PEP8	create_scan

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

get_scheduled_scans_by_scan_ids
PEP8	get_scheduled_scans

Get ScheduledScans by IDs.

schedule_scan
PEP8	schedule_scan

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

delete_scheduled_scans
PEP8	delete_scheduled_scans

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

query_malicious_files
PEP8	query_malicious_files

Query malicious files.

query_scan_host_metadata
PEP8	query_scan_hosts

Query scan hosts.

query_scans
PEP8	query_scans

Query Scans.

query_scheduled_scans
PEP8	query_scheduled_scans

Query ScheduledScans.

Passing credentials

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`

Content-Type

Produces: application/json

Keyword Arguments

Name	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)

aggregate_scans

Get aggregates on ODS scan data.

PEP8 method name

aggregate_scans

Endpoint

Method	Route
	`/ods/aggregates/scans/v1`

Content-Type

Produces: application/json

Keyword Arguments

Name	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)

aggregate_scheduled_scans

Get aggregates on ODS scheduled-scan data.

PEP8 method name

aggregate_scheduled_scans

Endpoint

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

Content-Type

Produces: application/json

Keyword Arguments

Name	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)

get_malicious_files_by_ids

Get malicious files by ids.

PEP8 method name

get_malicious_files

Endpoint

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

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)

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`

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)

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`

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)

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`

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)

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`

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)

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`

Content-Type

Produces: application/json

Keyword Arguments

Name	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)

get_scheduled_scans_by_scan_ids

Get ScheduledScans by IDs.

PEP8 method name

get_scheduled_scans

Endpoint

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

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)

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`

Content-Type

Produces: application/json

Keyword Arguments

Name	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)

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`

Content-Type

Produces: application/json

Keyword Arguments

Name	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)

query_malicious_files

Query malicious files.

PEP8 method name

query_malicious_files

Endpoint

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

Content-Type

Produces: application/json

Keyword Arguments

Name	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)

query_scan_host_metadata

Query scan hosts.

PEP8 method name

query_scan_hosts

Endpoint

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

Content-Type

Produces: application/json

Keyword Arguments

Name	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)

query_scans

Query Scans.

PEP8 method name

query_scans

Endpoint

Method	Route
	`/ods/queries/scans/v1`

Content-Type

Produces: application/json

Keyword Arguments

Name	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)

query_scheduled_scans

Query ScheduledScans.

PEP8 method name

query_scheduled_scans

Endpoint

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

Content-Type

Produces: application/json

Keyword Arguments

Name	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)

ODS - CrowdStrike/falconpy GitHub Wiki

Using the ODS (On Demand Scan) service collection

Table of Contents

Passing credentials

aggregate_query_scan_host_metadata

PEP8 method name

Endpoint

Content-Type

Keyword Arguments

Usage

Service class example (PEP8 syntax)

Service class example (Operation ID syntax)

Uber class example

aggregate_scans

PEP8 method name

Endpoint

Content-Type

Keyword Arguments

Usage

Service class example (PEP8 / Operation ID syntax)

Uber class example

aggregate_scheduled_scans

PEP8 method name

Endpoint

Content-Type

Keyword Arguments

Usage

Service class example (PEP8 / Operation ID syntax)

Uber class example

get_malicious_files_by_ids

PEP8 method name

Endpoint

Content-Type

Keyword Arguments

Usage

Service class example (PEP8 / Operation ID syntax)

Uber class example

cancel_scans

PEP8 method name

Endpoint

Content-Type

Keyword Arguments

Usage

Service class example (PEP8 / Operation ID syntax)

Uber class example

get_scan_host_metadata_by_ids

PEP8 method name

Endpoint

Content-Type

Keyword Arguments

Usage

Service class example (PEP8 / Operation ID syntax)

Uber class example

get_scans_by_scan_ids_v1

PEP8 method name

Endpoint

Content-Type

Keyword Arguments

Usage

Service class example (PEP8 / Operation ID syntax)

Uber class example

get_scans_by_scan_ids_v2

PEP8 method name

Endpoint

Content-Type

Keyword Arguments

Usage

Service class example (PEP8 / Operation ID syntax)

Uber class example

create_scan

PEP8 method name

Endpoint

Content-Type

Keyword Arguments

Usage

Service class example (PEP8 / Operation ID syntax)

Uber class example

get_scheduled_scans_by_scan_ids

PEP8 method name

Endpoint

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