発見を一覧化する
https://api.datadoghq.com/api/v2/posture_management/findingshttps://api.us3.datadoghq.com/api/v2/posture_management/findingshttps://api.us5.datadoghq.com/api/v2/posture_management/findingshttps://api.datadoghq.eu/api/v2/posture_management/findingshttps://api.ap1.datadoghq.com/api/v2/posture_management/findingshttps://api.ap2.datadoghq.com/api/v2/posture_management/findingshttps://api.uk1.datadoghq.com/api/v2/posture_management/findingshttps://api.ddog-gov.com/api/v2/posture_management/findingshttps://api.us2.ddog-gov.com/api/v2/posture_management/findings概要
発見のリストを取得します。これらには、誤構成とアイデンティティリスクが含まれます。
注: アイデンティティリスクのみを取得するには、次のクエリパラメータを追加します: ?filter[tags]=dd_rule_type:ciem
フィルター
URL にクエリパラメータを付加することで、フィルターを適用することができます。
- フィルター単体の使用:
?filter[attribute_key]=attribute_value - フィルターの連結:
?filter[attribute_key]=attribute_value&filter[attribute_key]=attribute_value... - タグでフィルターをかける:
?filter[tags]=tag_key:tag_value&filter[tags]=tag_key_2:tag_value_2
ここで、attribute_key は、後述するフィルターキーのいずれかを指定することができます。
integer 型のクエリパラメーターは、比較演算子 (>、>=、<、<=) をサポートしています。これは、evaluation_changed_at や resource_discovery_timestamp でフィルターをかける場合に特に有効です。例: ?filter[evaluation_changed_at]=>20123123121
また、文字列に対して否定演算子を使うこともできます。例えば、filter[resource_type]=-aws* を使用すると、AWS 以外のリソースをフィルターにかけることができます。
演算子は等号の後につける必要があります。例えば、>= 演算子でフィルターをかけるには、等号の後に演算子を追加します: filter[evaluation_changed_at]=>=1678809373257
クエリパラメーターは、ドキュメントに記載されているもので、正しい型の値を持つものだけでなければなりません。重複するクエリーパラメーター (例: filter[status]=low&filter[status]=info) は認められません。
レスポンス
レスポンスには、発見オブジェクトの配列、ページネーションメタデータ、クエリにマッチするアイテムのカウントが含まれます。
各発見オブジェクトには、以下のものが含まれます。
- 発見の詳細を取得するための
GetFindingリクエストで使用することができる発見 ID。 - ステータス、評価、高レベルのリソースの詳細、ミュート状態、ルールの詳細などのコア属性。
evaluation_changed_atおよびresource_discovery_dateタイムスタンプ。- 関連するタグの配列。
OAuth apps require the security_monitoring_findings_read authorization scope to access this endpoint.
引数
クエリ文字列
page[limit]Limit the number of findings returned. Must be <= 1000.
100snapshot_timestampReturn findings for a given snapshot of time (Unix ms).
page[cursor]Return the next page of findings pointed to by the cursor.
filter[tags]Return findings that have these associated tags (repeatable).
filter[evaluation_changed_at]Return findings that have changed from pass to fail or vice versa on a specified date (Unix ms) or date range (using comparison operators).
filter[muted]Set to true to return findings that are muted. Set to false to return unmuted findings.
filter[rule_id]Return findings for the specified rule ID.
filter[rule_name]Return findings for the specified rule.
filter[resource_type]Return only findings for the specified resource type.
filter[@resource_id]Return only findings for the specified resource id.
filter[discovery_timestamp]Return findings that were found on a specified date (Unix ms) or date range (using comparison operators).
filter[evaluation]Return only pass or fail findings.
pass, failfilter[status]Return only findings with the specified status.
critical, high, medium, low, infofilter[vulnerability_type]Return findings that match the selected vulnerability types (repeatable).
detailed_findingsReturn additional fields for some findings.
応答
OK
The expected response schema when listing findings.
data [required]Array of findings.
attributesThe JSON:API attributes of the finding.
datadog_linkThe Datadog relative link for this finding.
descriptionThe description and remediation steps for this finding.
evaluationThe evaluation of the finding.
pass, failevaluation_changed_atThe date on which the evaluation for this finding changed (Unix ms).
external_idThe cloud-based ID for the resource related to the finding.
muteInformation about the mute status of this finding.
descriptionAdditional information about the reason why this finding is muted or unmuted.
expiration_dateThe expiration date of the mute or unmute action (Unix ms).
mutedWhether this finding is muted or unmuted.
reasonThe reason why this finding is muted or unmuted.
PENDING_FIX, FALSE_POSITIVE, ACCEPTED_RISK, NO_PENDING_FIX, HUMAN_ERROR, NO_LONGER_ACCEPTED_RISK, OTHERstart_dateThe start of the mute period.
uuidThe ID of the user who muted or unmuted this finding.
resourceThe resource name of this finding.
resource_discovery_dateThe date on which the resource was discovered (Unix ms).
resource_typeThe resource type of this finding.
ruleThe rule that triggered this finding.
idThe ID of the rule that triggered this finding.
nameThe name of the rule that triggered this finding.
statusThe status of the finding.
critical, high, medium, low, infotagsThe tags associated with this finding.
vulnerability_typeThe vulnerability type of the finding.
misconfiguration, attack_path, identity_risk, api_securityidThe unique ID for this finding.
typeThe JSON:API type for findings.
findingfindingmeta [required]Metadata for pagination.
pagePagination and findings count information.
cursorThe cursor used to paginate requests.
total_filtered_countThe total count of findings after the filter has been applied.
snapshot_timestampThe point in time corresponding to the listed findings.
{
"data": [
{
"attributes": {
"datadog_link": "/security/compliance?panels=cpfinding%7Cevent%7CruleId%3Adef-000-u5t%7CresourceId%3Ae8c9ab7c52ebd7bf2fdb4db641082d7d%7CtabId%3Aoverview",
"description": "## Remediation\n\n1. In the console, go to **Storage Account**.\n2. For each Storage Account, navigate to **Data Protection**.\n3. Select **Set soft delete enabled** and enter the number of days to retain soft deleted data.",
"evaluation": "pass",
"evaluation_changed_at": 1678721573794,
"external_id": "arn:aws:s3:::my-example-bucket",
"mute": {
"description": "To be resolved later",
"expiration_date": 1778721573794,
"muted": true,
"reason": "ACCEPTED_RISK",
"start_date": 1678721573794,
"uuid": "e51c9744-d158-11ec-ad23-da7ad0900002"
},
"resource": "my_resource_name",
"resource_discovery_date": 1678721573794,
"resource_type": "azure_storage_account",
"rule": {
"id": "dv2-jzf-41i",
"name": "Soft delete is enabled for Azure Storage"
},
"status": "critical",
"tags": [
"cloud_provider:aws",
"myTag:myValue"
],
"vulnerability_type": "misconfiguration"
},
"id": "ZGVmLTAwcC1pZXJ-aS0wZjhjNjMyZDNmMzRlZTgzNw==",
"type": "finding"
}
],
"meta": {
"page": {
"cursor": "eyJhZnRlciI6IkFRQUFBWWJiaEJXQS1OY1dqUUFBQUFCQldXSmlhRUpYUVVGQlJFSktkbTlDTUdaWFRVbDNRVUUiLCJ2YWx1ZXMiOlsiY3JpdGljYWwiXX0=",
"total_filtered_count": 213
},
"snapshot_timestamp": 1678721573794
}
}Bad Request: The server cannot process the request due to invalid syntax in the request.
API error response.
errors [required]A list of errors.
detailA human-readable explanation specific to this occurrence of the error.
metaNon-standard meta-information about the error
sourceReferences to the source of the error.
headerA string indicating the name of a single request header which caused the error.
parameterA string indicating which URI query parameter caused the error.
pointerA JSON pointer to the value in the request document that caused the error.
statusStatus code of the response.
titleShort human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Forbidden: Access denied
API error response.
errors [required]A list of errors.
detailA human-readable explanation specific to this occurrence of the error.
metaNon-standard meta-information about the error
sourceReferences to the source of the error.
headerA string indicating the name of a single request header which caused the error.
parameterA string indicating which URI query parameter caused the error.
pointerA JSON pointer to the value in the request document that caused the error.
statusStatus code of the response.
titleShort human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Not Found: The requested finding cannot be found.
API error response.
errors [required]A list of errors.
detailA human-readable explanation specific to this occurrence of the error.
metaNon-standard meta-information about the error
sourceReferences to the source of the error.
headerA string indicating the name of a single request header which caused the error.
parameterA string indicating which URI query parameter caused the error.
pointerA JSON pointer to the value in the request document that caused the error.
statusStatus code of the response.
titleShort human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Too many requests: The rate limit set by the API has been exceeded.
API error response.
errors [required]A list of errors.
detailA human-readable explanation specific to this occurrence of the error.
metaNon-standard meta-information about the error
sourceReferences to the source of the error.
headerA string indicating the name of a single request header which caused the error.
parameterA string indicating which URI query parameter caused the error.
pointerA JSON pointer to the value in the request document that caused the error.
statusStatus code of the response.
titleShort human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}コード例
# Set your Datadog site and credentials
export DD_SITE="datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/posture_management/findings" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/posture_management/findings" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/posture_management/findings" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/posture_management/findings" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/posture_management/findings" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/posture_management/findings" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/posture_management/findings" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/posture_management/findings" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/posture_management/findings" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"// List findings returns "OK" response
package main
import (
"context"
"encoding/json"
"fmt"
"os"
"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)
func main() {
ctx := datadog.NewDefaultContext(context.Background())
ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
configuration := datadog.NewConfiguration()
configuration.SetUnstableOperationEnabled("v2.ListFindings", true)
apiClient := datadog.NewAPIClient(configuration)
api := datadogV2.NewSecurityMonitoringApi(apiClient)
resp, r, err := api.ListFindings(ctx, *datadogV2.NewListFindingsOptionalParameters())
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `SecurityMonitoringApi.ListFindings`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `SecurityMonitoringApi.ListFindings`:\n%s\n", responseContent)
}
Instructions
First install the library and its dependencies and then save the example to main.go and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"// List findings returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.SecurityMonitoringApi;
import com.datadog.api.client.v2.model.ListFindingsResponse;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
defaultClient.setUnstableOperationEnabled("v2.listFindings", true);
SecurityMonitoringApi apiInstance = new SecurityMonitoringApi(defaultClient);
try {
ListFindingsResponse result = apiInstance.listFindings();
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling SecurityMonitoringApi#listFindings");
System.err.println("Status code: " + e.getCode());
System.err.println("Reason: " + e.getResponseBody());
System.err.println("Response headers: " + e.getResponseHeaders());
e.printStackTrace();
}
}
}
Instructions
First install the library and its dependencies and then save the example to Example.java and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java""""
List findings returns "OK" response
"""
from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.security_monitoring_api import SecurityMonitoringApi
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
configuration.unstable_operations["list_findings"] = True
with ApiClient(configuration) as api_client:
api_instance = SecurityMonitoringApi(api_client)
response = api_instance.list_findings()
print(response)
Instructions
First install the library and its dependencies and then save the example to example.py and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"# List findings returns "OK" response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
config.unstable_operations["v2.list_findings".to_sym] = true
end
api_instance = DatadogAPIClient::V2::SecurityMonitoringAPI.new
p api_instance.list_findings()
Instructions
First install the library and its dependencies and then save the example to example.rb and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"// List findings returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_security_monitoring::ListFindingsOptionalParams;
use datadog_api_client::datadogV2::api_security_monitoring::SecurityMonitoringAPI;
#[tokio::main]
async fn main() {
let mut configuration = datadog::Configuration::new();
configuration.set_unstable_operation_enabled("v2.list_findings", true);
let api = SecurityMonitoringAPI::with_config(configuration);
let resp = api
.list_findings(ListFindingsOptionalParams::default())
.await;
if let Ok(value) = resp {
println!("{:#?}", value);
} else {
println!("{:#?}", resp.unwrap_err());
}
}
Instructions
First install the library and its dependencies and then save the example to src/main.rs and run following commands:
DD_SITE="datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us3.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us5.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="datadoghq.eu" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ap1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ap2.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="uk1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run/**
* List findings returns "OK" response
*/
import { client, v2 } from "@datadog/datadog-api-client";
const configuration = client.createConfiguration({
authMethods: {
AuthZ: {
accessToken: process.env.DD_BEARER_TOKEN as string,
},
},
});
configuration.unstableOperations["v2.listFindings"] = true;
const apiInstance = new v2.SecurityMonitoringApi(configuration);
apiInstance
.listFindings()
.then((data: v2.ListFindingsResponse) => {
console.log(
"API called successfully. Returned data: " + JSON.stringify(data)
);
})
.catch((error: any) => console.error(error));
Instructions
First install the library and its dependencies and then save the example to example.ts and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"