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#301 - Add client, alert and api reference docs
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| # Alert | ||
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| ## A simple alert | ||
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| A new alert requires at least these fields to be defined: | ||
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| - `type`: The type of the alert. | ||
| - `source`: The source of the alert. | ||
| - `sourceRef`: A unique reference for the alert. | ||
| - `title`: A descriptive title for the alert. | ||
| - `description`: Additional information describing the alert. | ||
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| Here's an example that demonstrates how to create the most simplistic alert possible using the [alert.create][thehive4py.endpoints.alert.AlertEndpoint.create] method: | ||
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| ```python | ||
| --8<-- "examples/alert/simple.py" | ||
| ``` | ||
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| ## An advanced alert | ||
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| In the previous example we really kept things simple and only specified the required alert fields inline in the create method call. | ||
| With a more advanced example this can become complicated and hard to read. | ||
| Fortunately we can use `thehive4py`'s type hints to the rescue and specify more complex input alerts outside of the method call. | ||
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| Here's how: | ||
| ```python | ||
| --8<-- "examples/alert/advanced.py" | ||
| ``` | ||
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| In the above snippet `input_alert` is created before the create call and later passed to the `alert` argument. | ||
| Finally after the creation of the alert we saved the response in the `output_alert` to be able to use it later. | ||
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| !!! note | ||
| While the above alert is a bit more advanced it's still far from the most complex example possible. | ||
| In case you want to see the what the Alert API offers please check out the [official alert docs](https://docs.strangebee.com/thehive/api-docs/#tag/Alert). | ||
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| ## Alert observables | ||
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| TheHive API provides multiple ways to add observables to alerts, let them be textual or file based observables. | ||
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| ### Add observables during alert creation | ||
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| We can add observables already during alert creation. This is a great way to combine alert and observable creation in a simple and atomic way: | ||
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| Let's create an alert with an `ip` and a `domain` observable: | ||
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| ```python | ||
| --8<-- "examples/alert/observable_during_alerting.py" | ||
| ``` | ||
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| ### Add observables to an existing alert | ||
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| While it's probably the most convenient way to combine alert and observable creation in a single call, sometimes we don't have all the observables at hand during alert creation time. | ||
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| Fortunately TheHive API supports alert observable creation on already existing alerts. Let's repeat the previous example, but this time add the two observables to an existing alert using the [alert.create_observable][thehive4py.endpoints.alert.AlertEndpoint.create_observable] method: | ||
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| ```python | ||
| --8<-- "examples/alert/observable_after_alerting.py" | ||
| ``` | ||
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| ### Add file based observables | ||
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| In the previous examples we've seen how to handle simple observables without attachments. Next we will create a temporary directory with a dummy file and some dummy content that will represent our file based observable and add it to an alert: | ||
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| ```python | ||
| --8<-- "examples/alert/observable_from_file.py" | ||
| ``` | ||
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| As we can see from the above example a file based observable must specify the `attachment` property with a key that links it to the attachment specified in the `attachment_map` dictionary. | ||
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| This way TheHive will know which attachment to pair with which observable behind the scenes. | ||
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| In our example `attachment_key` is used to specify the relationship between the observable and the actual file. In this case its value is a uuid, however it can be any arbitrary value, though it's important that it should uniquely identify the attachment and the observable we would like to pair in TheHive. | ||
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| ## Update single and bulk | ||
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| Sometimes an existing alert needs to be updated. TheHive offers multiple ways to accomplish this task either with a single alert or multiple ones. | ||
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| ### Update single | ||
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| A single alert can be updated using [alert.update][thehive4py.endpoints.alert.AlertEndpoint.update] method. The method requires the `alert_id` of the alert to be updated and the `fields` to update. | ||
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| ```python | ||
| --8<-- "examples/alert/update_single.py" | ||
| ``` | ||
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| In the above example we've updated the `title` and the `tags` fields. | ||
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| Be mindful though, `thehive4py` is a lightweight wrapper around TheHive API and offers no object relationship mapping functionalities, meaning that the original `original_alert` won't reflect the changes of the update. | ||
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| To work with the updated alert we fetched the latest version using the [alert.get][thehive4py.endpoints.alert.AlertEndpoint.get] method and stored it in the `updated_alert` variable. | ||
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| Now the content of `updated_alert` should reflect the changes we made with our update request. | ||
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| !!! tip | ||
| To see the full list of supported update fields please consult the [official docs](https://docs.strangebee.com/thehive/api-docs/#tag/Alert/operation/Update%20Alert). | ||
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| ### Update bulk | ||
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| To update the **same fields** with the **same values** on multiple alerts at the same time, one can use [alert.bulk_update][thehive4py.endpoints.alert.AlertEndpoint.bulk_update] method. | ||
| The method accepts the same `fields` dictionary with an additional `ids` field on it, which should contain the list of ids of the alerts to be bulk updated. | ||
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| ```python | ||
| --8<-- "examples/alert/update_bulk.py" | ||
| ``` | ||
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| In the example we prepare two alerts for the bulk update, and collect their ids in the `original_alert_ids` list. | ||
| Then we update the fields `title` and `tags` on both alerts using the bulk update method. | ||
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| ## Get and find | ||
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| There are multiple ways to retrieve already existing alerts: | ||
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| ### Get a single alert | ||
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| To get a single alert one can use the [alert.get][thehive4py.endpoints.alert.AlertEndpoint.get] method with the alert's id as follows: | ||
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| ```python | ||
| --8<-- "examples/alert/fetch_with_get.py" | ||
| ``` | ||
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| ### Find multiple alerts | ||
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| To fetch multiple alerts based on arbitrary conditions one can use the [alert.find][thehive4py.endpoints.alert.AlertEndpoint.find] method which is an abstraction on top of TheHive's Query API. | ||
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| In the next example we will create two alerts with different tags. The first alert will get the `antivirus` tag while the second one will get the `phishing` tag. | ||
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| Then we will construct a query filter that will look for alerts with these tags on them: | ||
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| ```python | ||
| --8<-- "examples/alert/fetch_with_find.py" | ||
| ``` | ||
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| The above example demonstrates two ways to construct query filters. | ||
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| One is to provide a raw dict based filter which is the plain format of [TheHive's Query API](https://docs.strangebee.com/thehive/api-docs/#tag/Query-and-Export). This is demonstrated in the `raw_filters` variable. | ||
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| However this can be cumbersome to remember, that's why `thehive4py` provides filter builders to conveniently build filter expressions on the client side. This alternative approach is demonstrated in the `class_filters` variable. | ||
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| These filter expressions can be chained together with different operators, just like we did with the `|` (`or`) operator in the example. | ||
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| Currently, the filter classes support the following operators: | ||
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| - `&`: Used for the Query API's `_and` construct. | ||
| - `|`: Used for the Query API's `_or` construct. | ||
| - `~`: Used for the Query API's `_not` construct. | ||
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| The full list of the filter builders can be found in the [query.filters][thehive4py.query.filters] module. | ||
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| ## Promote and merge into a case | ||
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| In TheHive alerts usually represent signals of compromise while cases provide a higher level entity to group these signals into one object. | ||
| Therefore we can promote an alert into a case or merge new alerts into an existing case for a more organised investigation. | ||
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| ### Promote to case | ||
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| To create a case from an alert we can use [alert.promote_to_case][thehive4py.endpoints.alert.AlertEndpoint.promote_to_case] method. | ||
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| ```python | ||
| --8<-- "examples/alert/case_promote.py" | ||
| ``` | ||
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| !!! tip | ||
| For additional control the method accepts a `fields` argument which can be used to modify properties on the case. | ||
| To see all available options please consult the [official docs](https://docs.strangebee.com/thehive/api-docs/#tag/Alert/operation/Create%20Case%20from%20Alert). | ||
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| ### Merge into case | ||
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| Oftentimes new alerts correspond to an already existing case. Fortunately we have the option to merge such alerts into a parent case using the [alert.merge_into_case][thehive4py.endpoints.alert.AlertEndpoint.merge_into_case] method. | ||
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| ```python | ||
| --8<-- "examples/alert/case_merge.py" | ||
| ``` | ||
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| In the above example we prepared a `parent_case` to which we merge the `new_alert` using their ids and finally save the updated case in the `updated_parent_case` variable. | ||
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| !!! tip | ||
| It can happen that multiple new alerts belong to the same parent case. In such situation we can use the [alert.bulk_merge_into_case][thehive4py.endpoints.alert.AlertEndpoint.bulk_merge_into_case] method for a more convenient merge process. | ||
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| ## Delete single and bulk | ||
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| `thehive4py` provides two different ways to delete alerts: | ||
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| - delete a single alert | ||
| - delete alerts in bulk | ||
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| ### Delete single | ||
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| To delete a single alert the [alert.delete][thehive4py.endpoints.alert.AlertEndpoint.delete] method can be used as follows: | ||
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| ```python | ||
| --8<-- "examples/alert/delete_single.py" | ||
| ``` | ||
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| ### Delete in bulk | ||
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| To delete multiple alerts via a single request one can use the [alert.bulk_delete][thehive4py.endpoints.alert.AlertEndpoint.bulk_delete] method as follows: | ||
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| ```python | ||
| --8<-- "examples/alert/delete_bulk.py" | ||
| ``` | ||
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| In the above example we created two alerts and saved their ids in the `alert_ids_to_delete` variable just to pass it in the bulk deletion method. |
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| Original file line number | Diff line number | Diff line change |
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| # Client | ||
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| ## Authentication | ||
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| TheHive API provides two ways to authenticate the client: | ||
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| - apikey auth | ||
| - username and password auth | ||
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| ### Auth with apikey | ||
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| ```python | ||
| --8<-- "examples/client/auth_with_apikey.py" | ||
| ``` | ||
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| ### Auth with username and password | ||
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| ```python | ||
| --8<-- "examples/client/auth_with_username_and_password.py" | ||
| ``` | ||
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| ## Organisation | ||
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| The client will use the default organisation of the user. However in case the user belongs to multiple organisation the client also provides options to specify which organisation to use. | ||
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| ### Specify the organisation during init | ||
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| In this example we will instaniate a client with the `admin` organisation explicitly: | ||
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| ```python | ||
| --8<-- "examples/client/org_via_constructor.py" | ||
| ``` | ||
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| ### Switch organisations during runtime | ||
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| In this example we will instantiate a client without explicitly specifying an organisation and switch to another organisation using the [session_organisation][thehive4py.client.TheHiveApi.session_organisation] property: | ||
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| ```python | ||
| --8<-- "examples/client/org_during_runtime.py" | ||
| ``` | ||
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| !!! warning | ||
| The [session_organisation][thehive4py.client.TheHiveApi.session_organisation] property is not thread-safe and it's almost always better to instantiate more clients if one wants to work with multiple organisations in parallel. | ||
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| ## SSL Verification | ||
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| By default the client verifies if the connection is going through SSL. | ||
| In case one needs to pass a custom certificate bundle or directory it's possible via the `verify` argument like: | ||
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| ```python | ||
| --8<-- "examples/client/ssl.py" | ||
| ``` | ||
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| !!! note | ||
| It's also possible to disable SSL verification completely by setting `verify` to `False`. | ||
| However this is greatly discouraged as it's a security bad practice. | ||
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| ## Retries | ||
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| The client comes with a sensible retry mechanism by default that will try to cover the most common use cases. | ||
| However it's also possible to configure a tailored retry mechanism via the `max_retries` argument. | ||
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| The below example will configure a custom retry mechanism with 5 total attempts, a backoff factor of 0.3 seconds on GET methods and 500 status codes: | ||
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| ```python | ||
| --8<-- "examples/client/retries.py" | ||
| ``` | ||
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| To learn more about the `urllib3.Retry` object please consult the official documentation [here](https://urllib3.readthedocs.io/en/stable/reference/urllib3.util.html#urllib3.util.Retry). | ||
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