Using the Quick Scan service collection

Uber class support Service class support Documentation Version Page Updated

This service collection has code examples posted to the repository.

Operation ID

Description

GetScansAggregates
PEP 8	get_scans_aggregates

Get scans aggregations as specified via json in request body.

GetScans
PEP 8	get_scans

Check the status of a volume scan. Time required for analysis increases with the number of samples in a volume but usually it should take less than 1 minute

ScanSamples
PEP 8	scan_samples

Submit a volume of files for ml scanning. Time required for analysis increases with the number of samples in a volume but usually it should take less than 1 minute

QuerySubmissionsMixin0
PEP 8	query_submissions

Find IDs for submitted scans by providing a FQL filter and paging details. Returns a set of volume IDs that match your criteria.

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.

GetScansAggregates

Get scans aggregations as specified via json in request body.

PEP8 method name

get_scans_aggregates

Endpoint

Method	Route
	`/scanner/aggregates/scans/GET/v1`

Required Scope

quick-scan:read

Content-Type

Consumes: application/json
Produces: application/json

Keyword Arguments

Name	Type	Data type	Description
body	body	dictionary	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" } ]
field	body	string	The field on which to compute the aggregation.
filter	body	string	FQL syntax formatted string to use to filter the results.
interval	body	string	Time interval for date histogram aggregations. Valid values include: `year` `month` `week` `day` `hour` `minute`
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 detections by the value of a specified field. For example, if field used is scenario, then detections will be bucketed by the various detection scenario names. `range` - Buckets detections by specified (numeric) ranges of a specified field. For example, if doing a range aggregation on the max_severity field, the detects 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 QuickScan

# Do not hardcode API credentials!
falcon = QuickScan(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.get_scans_aggregates(date_ranges=date_ranges,
                                       field="string",
                                       filter="string",
                                       interval="string",
                                       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 QuickScan

# Do not hardcode API credentials!
falcon = QuickScan(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.GetScansAggregates(date_ranges=date_ranges,
                                     field="string",
                                     filter="string",
                                     interval="string",
                                     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

# Do not hardcode API credentials!
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,
    "field": "string",
    "filter": "string",
    "interval": "string",
    "min_doc_count": 0,
    "missing": "string",
    "name": "string",
    "q": "string",
    "ranges": ranges,
    "size": 0,
    "sort": "string",
    "time_zone": "string",
    "type": "string"
}

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

GetScans

Check the status of a volume scan. Time required for analysis increases with the number of samples in a volume but usually it should take less than 1 minute

PEP8 method name

get_scans

Endpoint

Method	Route
	`/scanner/entities/scans/v1`

Required Scope

quick-scan:read

Content-Type

Produces: application/json

Keyword Arguments

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

Usage

Service class example (PEP8 syntax)

from falconpy import QuickScan

# Do not hardcode API credentials!
falcon = QuickScan(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)

Service class example (Operation ID syntax)

from falconpy import QuickScan

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

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

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

ScanSamples

Submit a volume of files for ml scanning. Time required for analysis increases with the number of samples in a volume but usually it should take less than 1 minute

PEP8 method name

scan_samples

Endpoint

Method	Route
	`/scanner/entities/scans/v1`

Required Scope

quick-scan:write

Content-Type

Produces: application/json

Keyword Arguments

Name	Service	Uber	Type	Data type	Description
body			body	dictionary	Full body payload in JSON format.
samples			body	string or list of strings	Submit a batch of SHA256s for ml scanning. The samples must have been previously uploaded through UploadSampleV3.

Usage

Service class example (PEP8 syntax)

from falconpy import QuickScan

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

sample_list = "SHA1,SHA2,SHA3"  # Can also pass a list here: ['SHA1', 'SHA2', 'SHA3']

response = falcon.scan_samples(samples=sample_list)
print(response)

Service class example (Operation ID syntax)

from falconpy import QuickScan

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

sample_list = "SHA1,SHA2,SHA3"  # Can also pass a list here: ['SHA1', 'SHA2', 'SHA3']

response = falcon.ScanSamples(samples=sample_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
                      )

sample_list = ['SHA1', 'SHA2', 'SHA3']

BODY = {
    "samples": sample_list
}

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

QuerySubmissionsMixin0

Find IDs for submitted scans by providing a FQL filter and paging details. Returns a set of volume IDs that match your criteria.

PEP8 method name

query_submissions

Endpoint

Method	Route
	`/scanner/queries/scans/v1`

Required Scope

quick-scan:read

Content-Type

Produces: application/json

Keyword Arguments

Name	Type	Data type	Description
filter	query	string	Optional filter and sort criteria in the form of an FQL query. Additional information about FQL queries can also be found in here (Customer login required).
limit	query	integer	Maximum number of volume IDs to return. Max: 5000.
offset	query	string	The offset to start retrieving submissions from.
sort	query	string	Sort order: `asc` or `desc`.
parameters	query	dictionary	Full query string parameters payload in JSON format.

Usage

Service class example (PEP8 syntax)

from falconpy import QuickScan

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

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

Service class example (Operation ID syntax)

from falconpy import QuickScan

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

response = falcon.QuerySubmissionsMixin0(filter="string",
                                         offset="string",
                                         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("QuerySubmissionsMixin0",
                          filter="string",
                          offset="string",
                          limit=integer,
                          sort="string"
                          )
print(response)

Quick Scan - CrowdStrike/falconpy GitHub Wiki

Using the Quick Scan service collection

Table of Contents

Passing credentials

GetScansAggregates

PEP8 method name

Endpoint

Required Scope

Content-Type

Keyword Arguments

Usage

Service class example (PEP8 syntax)

Service class example (Operation ID syntax)

Uber class example

GetScans

PEP8 method name

Endpoint

Required Scope

Content-Type

Keyword Arguments

Usage

Service class example (PEP8 syntax)

Service class example (Operation ID syntax)

Uber class example

ScanSamples

PEP8 method name

Endpoint

Required Scope

Content-Type

Keyword Arguments

Usage

Service class example (PEP8 syntax)

Service class example (Operation ID syntax)

Uber class example

QuerySubmissionsMixin0

PEP8 method name

Endpoint

Required Scope

Content-Type

Keyword Arguments

Usage

Service class example (PEP8 syntax)

Service class example (Operation ID syntax)

Uber class example

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