implementing-rapid7-insightvm-for-scanning

Deploy and configure Rapid7 InsightVM Security Console and Scan Engines for authenticated and unauthenticated vulnerability scanning across enterprise environments.

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name	implementing-rapid7-insightvm-for-scanning
description	Deploy and configure Rapid7 InsightVM Security Console and Scan Engines for authenticated and unauthenticated vulnerability scanning across enterprise environments.
domain	cybersecurity
subdomain	vulnerability-management
tags	["rapid7","insightvm","vulnerability-scanning","nexpose","scan-engine","asset-discovery","authenticated-scanning"]
version	1.0
author	mahipal
license	Apache-2.0
nist_csf	["ID.RA-01","ID.RA-02","ID.IM-02","ID.RA-06"]

Implementing Rapid7 InsightVM for Scanning

Overview

Rapid7 InsightVM (formerly Nexpose) is an enterprise vulnerability management platform that combines on-premises scanning via Security Console and Scan Engines with cloud-based analytics through the Insight Platform. InsightVM leverages Rapid7's vulnerability research library, Metasploit exploit knowledge, global attacker behavior data, internet-wide scanning telemetry, and real-time reporting to provide comprehensive vulnerability visibility. This skill covers deploying the Security Console, configuring Scan Engines, setting up scan templates, credentialed scanning, and integrating with the Insight Agent for continuous assessment.

When to Use

When deploying or configuring implementing rapid7 insightvm for scanning capabilities in your environment
When establishing security controls aligned to compliance requirements
When building or improving security architecture for this domain
When conducting security assessments that require this implementation

Detection Gaps & Validation

Unauthenticated coverage — engine-only scans miss 60-80% of local vulnerabilities. Validate credentials succeed via the scan's authentication results, not just a completed scan.
Roaming/offline assets — network scans miss laptops. Validate coverage by combining Insight Agent data and reconciling against asset inventory.
Segmented networks — a single engine behind a firewall leaves blind spots. Validate each segment is reachable by a paired engine.
Excluded fragile devices — printers/ICS excluded from aggressive templates become silent gaps; validate they are covered by a safe template.
Stale content — validate the vulnerability content/feed is current before a scan so new CVEs are checked.
False positives — validate high-severity findings with authenticated detail or a manual check before opening remediation tickets.

Prerequisites

Server meeting minimum requirements: 16 GB RAM, 4 CPU cores, 500 GB disk (Security Console)
Scan Engine: 8 GB RAM, 4 CPU cores, 100 GB disk
Network access to target subnets (ports vary by scan type)
Administrative credentials for authenticated scanning (SSH, WMI, SNMP)
Rapid7 InsightVM license and Insight Platform account
PostgreSQL database (bundled with Security Console)

Core Concepts

InsightVM Architecture Components

Security Console

The central management server that:

Hosts the web-based management interface (default port 3780)

Template	Use Case	Depth
Discovery Scan	Asset inventory, host enumeration	Low
Full Audit without Web Spider	Standard vulnerability assessment	Medium
Full Audit Enhanced Logging	Deep assessment with verbose logging	High
HIPAA Compliance	Healthcare regulatory compliance	High
PCI ASV Audit	PCI DSS external scanning requirement	High
CIS Policy Compliance	Configuration benchmarking	Medium
Web Spider	Web application discovery and assessment	Medium

# Download InsightVM installer (Linux)
chmod +x Rapid7Setup-Linux64.bin
./Rapid7Setup-Linux64.bin -c

# Verify service is running
systemctl status nexposeconsole.service

# Access web interface
# https://<console-ip>:3780

# Install Scan Engine on remote server
./Rapid7Setup-Linux64.bin -c

# During installation, select "Scan Engine only"
# Pair with Security Console using shared secret

# Docker-based Scan Engine deployment
docker pull rapid7/insightvm-scan-engine
docker run -d \
  --name scan-engine \
  -p 40814:40814 \
  -e CONSOLE_HOST=<console-ip> \
  -e CONSOLE_PORT=3780 \
  -e ENGINE_NAME=DMZ-Scanner \
  -e SHARED_SECRET=<pairing-secret> \
  rapid7/insightvm-scan-engine

Site Configuration:
  Name:           Production-Network
  Scan Engine:    Primary-Engine-01
  Scan Template:  Full Audit without Web Spider

  Included Assets:
    - 10.0.0.0/8     (Internal network)
    - 172.16.0.0/12   (DMZ network)

  Excluded Assets:
    - 10.0.0.1        (Core router - fragile)
    - 10.0.100.0/24   (ICS/SCADA segment)

  Schedule:
    Frequency:    Weekly
    Day:          Sunday
    Time:         02:00 AM
    Max Duration: 8 hours

Credential Type:    Microsoft Windows/Samba (SMB/CIFS)
Domain:             CORP.EXAMPLE.COM
Username:           svc_insightvm_scan
Password:           <service-account-password>
Authentication:     NTLM

Privilege Elevation:
  Type:   None (use domain admin or local admin)

Credential Type:    Secure Shell (SSH)
Username:           insightvm_scan
Authentication:     SSH Key (preferred) or Password
SSH Private Key:    /opt/rapid7/.ssh/scan_key
Port:               22

Privilege Elevation:
  Type:             sudo
  sudo User:        root
  sudo Password:    <sudo-password>

Credential Type:    Microsoft SQL Server
Instance:           MSSQLSERVER
Domain:             CORP
Username:           insightvm_db_scan
Authentication:     Windows Authentication

Credential Type:    Oracle
Port:               1521
SID:                ORCL
Username:           insightvm_scan

Template Name:      Enterprise-Standard-Scan

Service Discovery:
  TCP Ports:        Well-known (1-1024) + common services
  UDP Ports:        DNS(53), SNMP(161), NTP(123), TFTP(69)
  Method:           SYN scan (stealth)

Vulnerability Checks:
  Safe checks only: Enabled
  Skip potential:   Disabled
  Web spidering:    Disabled (separate template)
  Policy checks:    Enabled (CIS benchmarks)

Performance:
  Max parallel assets:     10
  Max requests per second: 100
  Timeout per asset:       30 minutes
  Retries:                 2

# Windows Agent Installation (via GPO or SCCM)
msiexec /i agentInstaller-x86_64.msi /quiet /norestart `
  CUSTOMTOKEN=<platform-token> `
  CUSTOMCONFIG=<agent-config>

# Linux Agent Installation
chmod +x agent_installer.sh
./agent_installer.sh install_start \
  --token <platform-token>

# Verify agent connectivity
# Check InsightVM console: Assets > Agent Management

Remediation Project:
  Name:             Q1-2025-Critical-Remediation

  Scope:
    Severity:       Critical + High
    CVSS Score:     >= 7.0
    Assets:         Production-Network site

  Assignment:
    Team:           Infrastructure-Ops
    Due Date:       2025-03-31

  Tracking:
    Auto-verify:    Enabled (re-scan on next scheduled scan)
    Notification:   Email on overdue items
    Escalation:     Manager notification at 75% SLA

import requests
import json

class InsightVMClient:
    """Rapid7 InsightVM API v3 client for automation."""

    def __init__(self, console_url, api_key):
        self.base_url = f"{console_url}/api/3"
        self.session = requests.Session()
        self.session.headers.update({
            "Content-Type": "application/json",
            "Authorization": f"Bearer {api_key}"
        })
        self.session.verify = not os.environ.get("SKIP_TLS_VERIFY", "").lower() == "true"  # Set SKIP_TLS_VERIFY=true for self-signed certs in lab environments

    def get_sites(self):
        """List all configured scan sites."""
        response = self.session.get(f"{self.base_url}/sites")
        response.raise_for_status()
        return response.json().get("resources", [])

    def start_scan(self, site_id, engine_id=None, template_id=None):
        """Trigger an ad-hoc scan for a site."""
        payload = {}
        if engine_id:
            payload["engineId"] = engine_id
        if template_id:
            payload["templateId"] = template_id

        response = self.session.post(
            f"{self.base_url}/sites/{site_id}/scans",
            json=payload
        )
        response.raise_for_status()
        return response.json()

    def get_asset_vulnerabilities(self, asset_id):
        """Retrieve vulnerabilities for a specific asset."""
        response = self.session.get(
            f"{self.base_url}/assets/{asset_id}/vulnerabilities"
        )
        response.raise_for_status()
        return response.json().get("resources", [])

    def get_scan_status(self, scan_id):
        """Check the status of a running scan."""
        response = self.session.get(f"{self.base_url}/scans/{scan_id}")
        response.raise_for_status()
        return response.json()

    def create_remediation_project(self, name, description, assets, vulns):
        """Create a remediation tracking project."""
        payload = {
            "name": name,
            "description": description,
            "assets": {"includedTargets": {"addresses": assets}},
            "vulnerabilities": {"includedVulnerabilities": vulns}
        }
        response = self.session.post(
            f"{self.base_url}/remediations",
            json=payload
        )
        response.raise_for_status()
        return response.json()


# Usage
client = InsightVMClient("https://insightvm-console:3780", "api-key-here")
sites = client.get_sites()
for site in sites:
    print(f"Site: {site['name']} - Assets: {site.get('assets', 0)}")