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Container Detections
Joshua Hiller edited this page Jan 17, 2024
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5 revisions
Operation ID | Description | ||||
---|---|---|---|---|---|
|
Aggregate counts of detections by severity | ||||
|
Aggregate counts of detections by detection type | ||||
|
Aggregate count of detections | ||||
|
Retrieve image assessment detections identified by the provided filter criteria | ||||
|
Retrieve image assessment detection entities identified by the provided filter criteria | ||||
|
Retrieve image assessment detection entities identified by the provided filter criteria |
Aggregate counts of detections by severity
read_detection_counts_by_severity
Method | Route |
---|---|
/container-security/aggregates/detections/count-by-severity/v1 |
- Produces: application/json
Name | Service | Uber | Type | Data type | Description |
---|---|---|---|---|---|
filter |
|
|
query | string | Filter images using a query in Falcon Query Language (FQL). Supported filters: cid,container_id,detection_type,id,image_digest,image_id,image_registry,image_repository,image_tag,name,severity |
from falconpy.container_detections import ContainerDetections
falcon = ContainerDetections(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.read_detection_counts_by_severity(filter="string")
print(response)
from falconpy import ContainerDetections
falcon = ContainerDetections(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.ReadDetectionsCountBySeverity(filter="string")
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.command("ReadDetectionsCountBySeverity", filter="string")
print(response)
Aggregate counts of detections by detection type
read_detections_count_by_type
Method | Route |
---|---|
/container-security/aggregates/detections/count-by-type/v1 |
- Produces: application/json
Name | Service | Uber | Type | Data type | Description |
---|---|---|---|---|---|
filter |
|
|
query | string | Filter images using a query in Falcon Query Language (FQL). Supported filters: cid,container_id,detection_type,id,image_digest,image_id,image_registry,image_repository,image_tag,name,severity |
from falconpy.container_detections import ContainerDetections
falcon = ContainerDetections(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.read_detections_count_by_type(filter="string")
print(response)
from falconpy import ContainerDetections
falcon = ContainerDetections(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.ReadDetectionsCountByType(filter="string")
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.command("ReadDetectionsCountByType", filter="string")
print(response)
Aggregate count of detections
read_detections_count
Method | Route |
---|---|
/container-security/aggregates/detections/count/v1 |
- Produces: application/json
Name | Service | Uber | Type | Data type | Description |
---|---|---|---|---|---|
filter |
|
|
query | string | Filter images using a query in Falcon Query Language (FQL). Supported filters: cid,container_id,detection_type,id,image_digest,image_id,image_registry,image_repository,image_tag,name,severity |
from falconpy.container_detections import ContainerDetections
falcon = ContainerDetections(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.read_detections_count(filter="string")
print(response)
from falconpy import ContainerDetections
falcon = ContainerDetections(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.ReadDetectionsCount(filter="string")
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.command("ReadDetectionsCount", filter="string")
print(response)
Retrieve image assessment detections identified by the provided filter criteria
read_combined_detections
Method | Route |
---|---|
/container-security/combined/detections/v1 |
- Produces: application/json
Name | Service | Uber | Type | Data type | Description |
---|---|---|---|---|---|
filter |
|
|
query | string | Filter images using a query in Falcon Query Language (FQL). Supported filters: cid,container_id,detection_type,id,image_digest,image_id,image_registry,image_repository,image_tag,name,severity |
limit |
|
|
query | integer | The upper-bound on the number of records to retrieve. |
offset |
|
|
query | integer | The offset from where to begin. |
sort |
|
|
query | string | The fields to sort the records on. Supported columns: [containers_impacted detection_name detection_severity detection_type images_impacted last_detected] |
from falconpy.container_detections import ContainerDetections
falcon = ContainerDetections(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.read_combined_detections(filter="string",
limit=integer,
offset=integer,
sort="string"
)
print(response)
from falconpy import ContainerDetections
falcon = ContainerDetections(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.ReadCombinedDetections(filter="string",
limit=integer,
offset=integer,
sort="string"
)
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.command("ReadCombinedDetections",
filter="string",
limit=integer,
offset=integer,
sort="string"
)
print(response)
Retrieve image assessment detection entities identified by the provided filter criteria
read_detections
Method | Route |
---|---|
/container-security/entities/detections/v1 |
- Produces: application/json
Name | Service | Uber | Type | Data type | Description |
---|---|---|---|---|---|
filter |
|
|
query | string | Filter images using a query in Falcon Query Language (FQL). Supported filters: cid,detection_type,image_registry,image_repository,image_tag |
limit |
|
|
query | integer | The upper-bound on the number of records to retrieve. |
offset |
|
|
query | integer | The offset from where to begin. |
from falconpy.container_detections import ContainerDetections
falcon = ContainerDetections(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.read_detections(filter="string",
limit=integer,
offset=integer
)
print(response)
from falconpy import ContainerDetections
falcon = ContainerDetections(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.ReadDetections(filter="string",
limit=integer,
offset=integer
)
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.command("ReadDetections",
filter="string",
limit=integer,
offset=integer
)
print(response)
Retrieve image assessment detection entities identified by the provided filter criteria
search_detections
Method | Route |
---|---|
/container-security/queries/detections/v1 |
- Produces: application/json
Name | Service | Uber | Type | Data type | Description |
---|---|---|---|---|---|
filter |
|
|
query | string | Filter images using a query in Falcon Query Language (FQL). Supported filters: cid,container_id,detection_type,id,image_digest,image_id,image_registry,image_repository,image_tag,name,severity |
limit |
|
|
query | integer | The upper-bound on the number of records to retrieve. |
offset |
|
|
query | integer | The offset from where to begin. |
from falconpy.container_detections import ContainerDetections
falcon = ContainerDetections(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.search_detections(filter="string",
limit=integer,
offset=integer
)
print(response)
from falconpy import ContainerDetections
falcon = ContainerDetections(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.SearchDetections(filter="string",
limit=integer,
offset=integer
)
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.command("SearchDetections",
filter="string",
limit=integer,
offset=integer
)
print(response)
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