Security Scorecard Vunerability Assessment Scanner

Overview

SecurityScorecard's Vulnerability Assessment Scanner is a tool designed to identify and assess vulnerabilities in an organization's digital infrastructure, offering real-time insights and prioritized recommendations to strengthen security measures and reduce cyber risk.

Vendor: SecurityScorecard
Plan: Defend Core & Defend Prime
Supported environment: SaaS
Detection based on: Alert
Supported application or feature: Application logs

Configure

This setup guide will show you how to provide an integration between Security Scorecard Vunerability Assessment Scanner events and Sekoia.io.

Create an intake

Go to the intake page and create a new intake from the format Security Scorecard VAS. Copy the intake key.

Configure Security Scorecard

Login to admin panel and go to Rule Builder tab.
Click Create Rule button.
In the forms that you see please feel all the fields with correct values and use Send web request to as action. Set the destination url to https://intake.sekoia.io/plain?intake_key=<intake_key> with value from previous steps.
Save the configuration and enjoy your events

Raw Events Samples

In this section, you will find examples of raw logs as generated natively by the source. These examples are provided to help integrators understand the data format before ingestion into Sekoia.io. It is crucial for setting up the correct parsing stages and ensuring that all relevant information is captured.

breach_reported_eventissue_event

{
    "trigger": {
        "type": "breach_reported",
        "breach": {
            "domain": "example.com",
            "root_cause": "hacked",
            "company_name": "Example Company",
            "records_lost": 10000,
            "date_discovered": 0,
            "type_of_breach": "",
            "description": "Company was breached, exposing authentication details of senior employees. An insider is believed to have helped."
        }
    },
    "created_at": "2022-08-09T16:36:42.397Z",
    "execution_id": "87b786f3-76c9-4a2e-a44b-985be679ef80",
    "scorecard_id": "8e21f4aa-ee49-5f6d-be70-366b95ecc586",
    "domain": "example.com"
}

{
    "trigger": {
        "type": "new_issues",
        "issues": {
            "csp_no_policy_v2": {
                "active": {
                    "count": 26
                },
                "departed": {
                    "count": 3
                },
                "resolved": {
                    "count": 2
                }
            },
            "domain_missing_https_v2": {
                "active": {
                    "count": 15
                }
            }
        },
        "selected": "by_severity",
        "severity": "low"
    },
    "created_at": "2022-08-10T19:49:46.029Z",
    "execution_id": "ee08b90e-98fe-45e1-9261-91eb0a80275d",
    "scorecard_id": "8e21f4aa-ee49-5f6d-be70-366b95ecc586",
    "domain": "example.com"
}

Detection section

The following section provides information for those who wish to learn more about the detection capabilities enabled by collecting this intake. It includes details about the built-in rule catalog, event categories, and ECS fields extracted from raw events. This is essential for users aiming to create custom detection rules, perform hunting activities, or pivot in the events page.

The following Sekoia.io built-in rules match the intake SecurityScorecard Vulnerability Assessment Scanner. This documentation is updated automatically and is based solely on the fields used by the intake which are checked against our rules. This means that some rules will be listed but might not be relevant with the intake.

SEKOIA.IO x SecurityScorecard Vulnerability Assessment Scanner on ATT&CK Navigator

SecurityScorecard Vulnerability Assessment Scanner New Issues

Raises an alert when SecurityScorecard Vulnerability Assessment Scanner find new issues.

Effort: master

Event Categories

The following table lists the data source offered by this integration.

Data Source	Description
`Application logs`	collect activities from the source

In details, the following table denotes the type of events produced by this integration.

Name	Values
Kind	`alert`
Category	`intrusion_detection`, `vulnerability`
Type	`info`

Transformed Events Samples after Ingestion

This section demonstrates how the raw logs will be transformed by our parsers. It shows the extracted fields that will be available for use in the built-in detection rules and hunting activities in the events page. Understanding these transformations is essential for analysts to create effective detection mechanisms with custom detection rules and to leverage the full potential of the collected data.

breach_reported_event.jsonissue_event.json

{
    "message": "{\"trigger\":{\"type\":\"breach_reported\",\"breach\":{\"domain\":\"example.com\",\"root_cause\":\"hacked\",\"company_name\":\"Example Company\",\"records_lost\":10000,\"date_discovered\":0,\"type_of_breach\":\"\",\"description\":\"Company was breached, exposing authentication details of senior employees. An insider is believed to have helped.\"}},\"created_at\":\"2022-08-09T16:36:42.397Z\",\"execution_id\":\"87b786f3-76c9-4a2e-a44b-985be679ef80\",\"scorecard_id\":\"8e21f4aa-ee49-5f6d-be70-366b95ecc586\",\"domain\":\"example.com\"}",
    "event": {
        "action": "breach_reported",
        "category": [
            "intrusion_detection"
        ],
        "dataset": "breach",
        "kind": "alert",
        "reason": "Company was breached, exposing authentication details of senior employees. An insider is believed to have helped.",
        "type": [
            "info"
        ]
    },
    "@timestamp": "2022-08-09T16:36:42.397000Z",
    "cloud": {
        "account": {
            "name": "example.com"
        }
    },
    "observer": {
        "product": "Vulnerability Assessment Scanner",
        "vendor": "SecurityScorecard"
    },
    "organization": {
        "name": "Example Company"
    },
    "securityscorecard": {
        "vas": {
            "breach": {
                "root_cause": "hacked"
            },
            "id": "8e21f4aa-ee49-5f6d-be70-366b95ecc586"
        }
    }
}

{
    "message": "{\"trigger\":{\"type\":\"new_issues\",\"issues\":{\"csp_no_policy_v2\":{\"active\":{\"count\":26},\"departed\":{\"count\":3},\"resolved\":{\"count\":2}},\"domain_missing_https_v2\":{\"active\":{\"count\":15}}},\"selected\":\"by_severity\",\"severity\":\"low\"},\"created_at\":\"2022-08-10T19:49:46.029Z\",\"execution_id\":\"ee08b90e-98fe-45e1-9261-91eb0a80275d\",\"scorecard_id\":\"8e21f4aa-ee49-5f6d-be70-366b95ecc586\",\"domain\":\"example.com\"}",
    "event": {
        "action": "new_issues",
        "category": [
            "vulnerability"
        ],
        "dataset": "issue",
        "type": [
            "info"
        ]
    },
    "@timestamp": "2022-08-10T19:49:46.029000Z",
    "cloud": {
        "account": {
            "name": "example.com"
        }
    },
    "observer": {
        "product": "Vulnerability Assessment Scanner",
        "vendor": "SecurityScorecard"
    },
    "securityscorecard": {
        "vas": {
            "id": "8e21f4aa-ee49-5f6d-be70-366b95ecc586",
            "selected": "by_severity",
            "severity": "low"
        }
    }
}

Extracted Fields

The following table lists the fields that are extracted, normalized under the ECS format, analyzed and indexed by the parser. It should be noted that infered fields are not listed.

Name	Type	Description
`@timestamp`	`date`	Date/time when the event originated.
`cloud.account.name`	`keyword`	The cloud account name.
`event.action`	`keyword`	The action captured by the event.
`event.category`	`keyword`	Event category. The second categorization field in the hierarchy.
`event.dataset`	`keyword`	Name of the dataset.
`event.kind`	`keyword`	The kind of the event. The highest categorization field in the hierarchy.
`event.reason`	`keyword`	Reason why this event happened, according to the source
`event.type`	`keyword`	Event type. The third categorization field in the hierarchy.
`observer.product`	`keyword`	The product name of the observer.
`observer.vendor`	`keyword`	Vendor name of the observer.
`organization.name`	`keyword`	Organization name.
`securityscorecard.vas.breach.root_cause`	`keyword`	Scorecard breach root cause
`securityscorecard.vas.id`	`keyword`	Scorecard event id
`securityscorecard.vas.selected`	`keyword`	Scorecard event selected
`securityscorecard.vas.severity`	`keyword`	Scorecard event severity

For more information on the Intake Format, please find the code of the Parser, Smart Descriptions, and Supported Events here.