msticpy.context.azure.sentinel_analytics module

Mixin Classes for Sentinel Analytics Features.

class msticpy.context.azure.sentinel_analytics.SentinelAnalyticsMixin(*, connect: bool = False, cloud: str | None = None)

Bases: SentinelUtilsMixin

Mixin class for Sentinel Analytics feature integrations.

Initialize connector for Azure Python SDK.

check_connected() → None: Check that Sentinel workspace is connected.

connect(auth_methods: list[str] | None = None, tenant_id: str | None = None, *, silent: bool = False, cloud: str | None = None, **kwargs) → None

Authenticate to the Azure SDK.

Parameters:

auth_methods (List, optional) – list of preferred authentication methods to use, by default None
tenant_id (str, optional) – The tenant to authenticate against. If not supplied, the default tenant for the identity will be used.
silent (bool, optional) – Set true to prevent output during auth process, by default False
cloud (str, optional) – What Azure cloud to connect to. By default it will attempt to use the cloud setting from config file. If this is not set it will default to Azure Public Cloud
**kwargs – Additional keyword arguments to pass to the az_connect function.

Raises:

CloudError – If no valid credentials are found or if subscription client can’t be created

See also

msticpy.auth.azure_auth.az_connect: function to authenticate to Azure SDK

create_analytic_rule(template: str | None = None, name: str | None = None, *, enabled: bool = True, query: str | None = None, query_frequency: str = 'PT5H', query_period: str = 'PT5H', severity: str = 'Medium', suppression_duration: str = 'PT1H', suppression_enabled: bool = False, trigger_operator: str = 'GreaterThan', trigger_threshold: int = 0, description: str | None = None, tactics: list[str] | None = None) → str | None

Create a Sentinel Analytics Rule.

Parameters:

template (str, optional) – The GUID or name of a templated to create the analytic from, by default None
name (str, optional) – The name to give the analytic, by default None
enabled (bool, optional) – Whether you want the analytic to be enabled once deployed, by default True
query (str, optional) – The KQL query string to use in the anlaytic, by default None
query_frequency (str, optional) – How often the query should run in ISO8601 format, by default “PT5H”
query_period (str, optional) – How far back the query should look in ISO8601 format, by default “PT5H”
severity (str, optional) – The severity to raise incidents as, by default “Medium” Options are; Informational, Low, Medium, or High
suppression_duration (str, optional) – How long to suppress duplicate alerts in ISO8601 format, by default “PT1H”
suppression_enabled (bool, optional) – Whether you want to suppress duplicates, by default False
trigger_operator (str, optional) – The operator for the trigger, by default “GreaterThan”
trigger_threshold (int, optional) – The threshold of events required to create the incident, by default 0
description (str, optional) – A description of the analytic, by default None
tactics (list, optional) – A list of MITRE ATT&CK tactics related to the analytic, by default None

Returns:

The name/ID of the analytic rule.

Return type:

str|None

Raises:

MsticpyUserError – If template provided isn’t found.
CloudError – If the API returns an error.

delete_analytic_rule(analytic_rule: str) → None

Delete a deployed Analytic rule from a Sentinel workspace.

Parameters:: analytic_rule (str) – The GUID or name of the analytic.
Raises:: CloudError – If the API returns an error.

get_alert_rules() → DataFrame

Return all Microsoft Sentinel alert rules for a workspace.

Returns:: A table of the workspace’s alert rules.
Return type:: pd.DataFrame

get_analytic_rules() → DataFrame

Return all Microsoft Sentinel alert rules for a workspace.

Returns:: A table of the workspace’s alert rules.
Return type:: pd.DataFrame

get_metrics(metrics: str, resource_id: str, sub_id: str, sample_time: str = 'hour', start_time: int = 30) → dict[str, DataFrame]

Return specified metrics on Azure Resource.

Parameters:

metrics (str) – A string list of metrics you wish to collect (https://docs.microsoft.com/en-us/azure/azure-monitor/platform/metrics-supported)
resource_id (str) – The resource ID of the resource to collet the metrics from
sub_id (str) – The subscription ID that the resource is part of
sample_time (str (Optional)) – You can select to collect the metrics every hour of minute - default is hour Accepted inputs = ‘hour’ or ‘minute’
start_time (int (Optional)) – The number of days prior to today to collect metrics for, default is 30

Returns:

results – A Dictionary of DataFrames containing the metrics details

Return type:

dict

get_network_details(network_id: str, sub_id: str) → tuple[DataFrame, DataFrame]

Return details related to an Azure network interface and associated NSG.

Parameters:

network_id (str) – The ID of the network interface to return details on
sub_id (str) – The subscription ID that the network interface is part of

Returns:

details – A dictionary of items related to the network interface

Return type:

dict

get_resource_details(sub_id: str, resource_id: str | None = None, resource_details: dict[str, Any] | None = None) → dict

Return the details of a specific Azure resource.

Parameters:

resource_id (str, optional) – The ID of the resource to get details on
resource_details (dict, optional) –

If ID is unknown provide the following details:
-resource_group_name -resource_provider_namespace -resource_type -resource_name -parent_resource_path
sub_id (str) – The ID of the subscription to get resources from

Returns:

resource_details – The details of the requested resource

Return type:

dict

get_resources(sub_id: str, rgroup: str | None = None, *, get_props: bool = False) → pd.DataFrame

Return details on all resources in a subscription or Resource Group.

Parameters:

sub_id (str) – The subscription ID to get resources for
rgroup (str (Optional)) – The name of a Resource Group to get resources for
get_props (bool (Optional)) – Set to True if you want to get the full properties of every resource Warning this may be a slow process depending on the number of resources

Returns:

A dataframe of resource details

Return type:

pd.DataFrame

get_sentinel_workspaces(sub_id: str) → dict[str, str]

Return a list of Microsoft Sentinel workspaces in a Subscription.

Parameters:: sub_id (str) – The subscription ID to get a list of workspaces from. If not provided it will attempt to get sub_id from config files.
Returns:: A dictionary of workspace names and ids
Return type:: Dict

get_subscription_info(sub_id: str) → dict

Get information on a specific subscription.

Parameters:: sub_id (str) – The ID of the subscription to return details on.
Returns:: Details on the selected subscription.
Return type:: dict
Raises:: MsticpyNotConnectedError – If .connect() has not been called.

get_subscriptions() → DataFrame

Get details of all subscriptions within the tenant.

Returns:: Details of the subscriptions present in the users tenant.
Return type:: pd.DataFrame
Raises:: MsticpyNotConnectedError – If .connect() has not been called

list_alert_rules() → DataFrame

Return all Microsoft Sentinel alert rules for a workspace.

Returns:: A table of the workspace’s alert rules.
Return type:: pd.DataFrame

list_analytic_rules() → DataFrame

Return all Microsoft Sentinel alert rules for a workspace.

Returns:: A table of the workspace’s alert rules.
Return type:: pd.DataFrame

list_analytic_templates() → DataFrame

List Analytic Templates.

Returns:: A DataFrame containing the analytics templates
Return type:: pd.DataFrame
Raises:: CloudError – If a valid result is not returned.

list_sentinel_workspaces(sub_id: str) → dict[str, str]

Return a list of Microsoft Sentinel workspaces in a Subscription.

Parameters:: sub_id (str) – The subscription ID to get a list of workspaces from. If not provided it will attempt to get sub_id from config files.
Returns:: A dictionary of workspace names and ids
Return type:: Dict

class msticpy.context.azure.sentinel_analytics.SentinelHuntingMixin(*, connect: bool = False, cloud: str | None = None)

Bases: SentinelUtilsMixin

Mixin class for Sentinel Hunting feature integrations.

Initialize connector for Azure Python SDK.

check_connected() → None: Check that Sentinel workspace is connected.

connect(auth_methods: list[str] | None = None, tenant_id: str | None = None, *, silent: bool = False, cloud: str | None = None, **kwargs) → None

Authenticate to the Azure SDK.

Parameters:

auth_methods (List, optional) – list of preferred authentication methods to use, by default None
tenant_id (str, optional) – The tenant to authenticate against. If not supplied, the default tenant for the identity will be used.
silent (bool, optional) – Set true to prevent output during auth process, by default False
cloud (str, optional) – What Azure cloud to connect to. By default it will attempt to use the cloud setting from config file. If this is not set it will default to Azure Public Cloud
**kwargs – Additional keyword arguments to pass to the az_connect function.

Raises:

CloudError – If no valid credentials are found or if subscription client can’t be created