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Amazon Inspector

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Amazon Inspector is an automated vulnerability management service that continually scans Amazon EC2 and container images for software vulnerabilities and network exposures. The Sumo Logic Inspector App helps reveal trends and identify anomalies from these findings.


For information about integrating Amazon Inspector with Security Hub, see Integration with AWS Security Hub in Amazon help.

Collecting findings for the Amazon Inspector app​

Sumo Logic provides a serverless solution for creating a CloudWatch events rule and a Lambda function (SecurityHubCollector) to extract findings from AWS Security Hub.

Findings from AWS services (AWS Security Hub) are delivered to CloudWatch Events as events in near real time. The Lambda function parses those events and sends them to an S3 bucket. Sumo Logic then collects the findings data using an S3 bucket source on a Sumo Logic hosted collector. The Lambda function setup is defined using Serverless Application Model (SAM) specifications and is published in AWS Serverless Application Repository.

You do not have to manually create the AWS resources. Simply deploy the solution, as described in the Step 2: Deploy an AWS Security Hub App collector.

Step 1: Add a hosted collector and Amazon S3 source​

This section demonstrates how to add a hosted Sumo Logic collector and AWS source, to collect events for the AWS Security Hub App.


An AWS Source must be associated with a Sumo Logic Hosted Collector. Before creating the S3 source, identify the Sumo Logic Hosted Collector you want to use, or create a new Hosted Collector as described in the following task.

To add a hosted collector and Amazon S3 source:

  1. Grant Access to an Amazon S3 Bucket.
  2. To create a new Sumo Logic Hosted Collector, perform the steps in Configure a Hosted Collector.
  3. Add an AWS Source for the S3 Source to Sumo Logic, and in Advanced Options for Logs, under Timestamp Format, click Specify a format and enter the following:
    • Specify Format as yyyy-MM-dd'T'HH:mm:ss.SSS'Z'
    • Specify Timestamp locator as .*"UpdatedAt":"(.*)".*
    • Click Add.

Step 2: Deploy an AWS Security Hub App collector​

The AWS Security Hub App collector transforms the received events and sends them to Sumo Logic. The AWS Security Hub App displays the results in pre-defined visual dashboards for you to analyze.

To deploy an AWS Security Hub App collector:

  1. Open a browser window and enter the following URL:
  2. In the Serverless Application Repository, search for sumologic.
  3. Select Show apps that create custom IAM roles or resource policies check box.
  4. Click the sumologic-securityhub-collector link, and then click Deploy.
  5. In the AWS Lambda > Functions > Application Settings panel, enter the name of the S3SourceBucketName for the bucket you configured (when you defined the S3 source).
  6. Scroll to the bottom of the window and click Deploy.

Sample log messages​

AWS Security Hub log
"SchemaVersion": "2018-10-08",
"ProductArn": "arn:aws:securityhub:us-west- 2:123456789012:provider:private/default",
"AwsAccountId": "123456789012",
"Id": "test_finding_123456",
"GeneratorId": "TestDetector",
"Types": [
"Software and Configuration Checks/Vulnerabilities/CVE"
"CreatedAt": "2018-11- 06T13:22:13.933Z",
"UpdatedAt": "2018-11-07T14:22:13.933Z",
"Severity": {
"Product": 10,
"Normalized": 30
"Title": "Unprotected port 22 found on instance i-01234567890abcefb",
"Description": "Test finding was found on instance i- 01234567890afbcefa",
"Resources": [
"Type": "AwsEc2::Instance",
"Id": "arn:aws:ec2:us-west-2: 123456789012:instance:i- 01234567890abcefa"
"SourceUrl": "",
"Process": {
"Name": "My Process",
"Path": "/Process/Path"
"RecordState": "ACTIVE",
"Note": {
"Text": "User1 will address this finding",
"UpdatedBy": "User1",
"UpdatedAt": "2018-11-03T13:22:13.933Z"

Sample queries​

Findings by resource type and severity query
(_sourceCategory="securityhub_findings" OR _sourceCategory="Labs/AWS/SecurityHub")
| json "AwsAccountId", "Id", "GeneratorId", "ProductArn", "CreatedAt", "UpdatedAt", "Resources",
"Severity.Normalized", "SourceUrl",
"Types", "Compliance.Status" as aws_account_id, finding_id, generator_id, product_arn, created_at,
updated_at, resources, severity_normalized, sourceurl, finding_types, compliance_status nodrop
| parse regex field=finding_types "\"(?<finding_type>.*?)\"" multi
| parse regex field=resources "\"Type\":\"(?<resource_type>.*?)\"" multi
| parse regex field=resources "\"Id\":\"(?<resource_id>.*?)\"" multi
| parse regex field=product_arn "product/(?<finding_provider>.*?)$"
| min(severity_normalized), pct(severity_normalized,25), pct(severity_normalized,50), pct(severity_normalized,75),
max(severity_normalized) by resource_type

Installing the Amazon Inspector app​

Once you've set up ingestion of findings from AWS Security Hub, you can install the Sumo Logic app for Amazon Inspector and use the pre-configured searches and dashboards.

To install the app, do the following:

  1. From the Sumo Logic navigation, select App Catalog.
  2. In the Search Apps field, search for and then select your app.
    Optionally, you can scroll down to preview the dashboards included with the app.
  3. To install the app, click Install App.
  4. Click Next in the Setup Data section.
  5. In the Configure section of the respective app, complete the following fields.
    1. Key. Select either of these options for the data source.
      • Choose Source Category, and select a source category from the list for Default Value.
      • Choose Custom, and enter a custom metadata field. Insert its value in Default Value.
  6. Click Next. You will be redirected to the Preview & Done section.

Your app will be installed in the Installed Apps folder and dashboard panels will start to fill automatically.

Each panel slowly fills with data matching the time range query and received since the panel was created. Results will not immediately be available, updating with full graphs and charts over time.

Viewing the Amazon Inspector Overview dashboard​

All dashboards have a set of filters that you can apply to the entire dashboard. Use these filters to drill down and examine the data to a granular level.

  • You can change the time range for a dashboard or panel by selecting a predefined interval from a drop-down list, choosing a recently used time range, or specifying custom dates and times. Learn more.
  • You can use template variables to drill down and examine the data on a granular level. For more information, see Filter with template variables.
  • Most Next-Gen apps allow you to provide the scope at the installation time and are comprised of a key (_sourceCategory by default) and a default value for this key. Based on your input, the app dashboards will be parameterized with a dashboard variable, allowing you to change the dataset queried by all panels. This eliminates the need to create multiple copies of the same dashboard with different queries.

The dashboard provides an overview of Security Hub findings broken down by severity.

Amazon Inspector

Findings Summary​

The top panel of the dashboard presents:

  • All Findings. The count of total security findings during the last 24 hours by default, or during the currently selected time range.
  • Findings by Severity. A stacked line chart showing the count of findings by severity, during the last 24 hours by default, or during the currently selected time range.
  • Last 20 Findings. A table detailing the 20 most recent findings.

Critical, high, medium, low severity findings​

The other panels on the dashboard, for Critical, High, Medium, and Low Severity findings, have similar content. The only difference is they each are filtered by the listed severity level.

  • Severity Findings. The count of findings at this severity during the last 24 hours by default, or during the currently selected time range.
  • Severity Outliers. Shows the trending volume of findings at this severity level during the last 24 hours by default, or during the currently selected time range. The gray shaded area corresponds to 3 standard deviations of the past 10 mean values. Pink triangles show values that exceed that threshold and are likely points of investigation considering the large change in volume of findings.
  • Last 20 Severity Findings. A table detailing the 20 most recent findings at this severity level.
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