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Agentless Vulnerability Scanning

Free

Assess systems for vulnerabilities without agents.

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Free · Opens the source repo

What Agentless Vulnerability Scanning does

The Performing Agentless Vulnerability Scanning skill allows users to conduct security assessments on systems without the need for installing endpoint agents. This is particularly useful in environments where deploying agents is impractical or impossible. By leveraging existing network protocols such as SSH for Linux and WMI for Windows, alongside cloud provider APIs for snapshot analysis, this skill enables comprehensive vulnerability assessments across on-premises, cloud, and containerized environments.

This skill is designed for security professionals and system administrators who need to ensure the integrity and security of their infrastructure. It facilitates the identification of security weaknesses by utilizing methods that do not interfere with the operational performance of the systems being scanned. The agentless approach minimizes the overhead on target systems while still providing deep insights into their security posture through remote checks and analysis of system configurations and installed packages.

Users can configure and execute scans that utilize SSH commands for Linux systems, WMI queries for Windows, and cloud snapshot analysis for virtual machines. The skill supports a variety of scanning methods, ensuring that it can be adapted to different environments and requirements. With the ability to analyze disk images and configurations without leaving persistent traces, this tool is an essential asset for maintaining security compliance and performing thorough audits.

Overall, this skill is a valuable addition for teams focused on proactive security measures, incident response, and regular vulnerability assessments, providing a streamlined and effective way to assess systems without the need for agent deployment.

When to use it

Use this skill when you need to perform vulnerability assessments without deploying agents, especially in cloud or legacy environments.

When not to use it

This skill may not be suitable for scenarios requiring deep local access to systems, as it relies on network connectivity and available protocols.

What you can build with it

Security Audits

Use this skill to perform regular security audits across your infrastructure without the need for agent deployment.

Incident Response

Quickly assess systems during incident response activities to identify vulnerabilities that may have been exploited.

Cloud Environment Assessments

Leverage cloud snapshot analysis to evaluate the security posture of your cloud-based virtual machines.

How to install Agentless Vulnerability Scanning

View source

1. Install with the skills CLI

npx skills add mukul975/anthropic-cybersecurity-skills/performing-agentless-vulnerability-scanning --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by mukul975

Performing Agentless Vulnerability Scanning

Overview

Agentless vulnerability scanning assesses systems for security weaknesses without requiring endpoint agent installation. This approach leverages existing network protocols (SSH for Linux, WMI for Windows), cloud provider APIs for snapshot-based analysis, and authenticated remote checks. Modern cloud platforms like Microsoft Defender for Cloud, Wiz, Datadog, and Tenable perform out-of-band analysis by taking disk snapshots and examining OS configurations and installed packages offline. The open-source tool Vuls provides agentless scanning based on NVD and OVAL data for Linux/FreeBSD systems. This skill covers configuring agentless scans across on-premises, cloud, and containerized environments.

When to Use

  • When conducting security assessments that involve performing agentless vulnerability scanning
  • When following incident response procedures for related security events
  • When performing scheduled security testing or auditing activities
  • When validating security controls through hands-on testing

Prerequisites

  • SSH key-based authentication configured on Linux/Unix targets
  • WMI/WinRM access on Windows targets with appropriate credentials
  • Cloud provider API credentials (AWS IAM, Azure RBAC, GCP IAM)
  • Network access from scanner to target systems on required ports
  • Service account with read-only access to target system configurations
  • Python 3.8+ for custom scanning automation

Core Concepts

Agentless vs Agent-Based Scanning

AspectAgentlessAgent-Based
DeploymentNo software installation neededAgent install on every endpoint
Network dependencyRequires network connectivityWorks offline with cloud sync
Performance impactMinimal on target systemsLight continuous overhead
Coverage depthDepends on protocol/credentialsDeep local access
Cloud snapshot analysisNative capabilityNot applicable
Ideal forCloud VMs, IoT, legacy systems, OTManaged endpoints, laptops

Agentless Scanning Methods

MethodProtocolTarget OSPortUse Case
SSH Remote CommandsSSHLinux/Unix22Package enumeration, config audit
WMI Remote QueryWMI/DCOMWindows135, 445Hotfix enumeration, registry checks
WinRM PowerShellWS-ManWindows5985/5986Remote command execution
SNMP CommunitySNMP v2c/v3Network devices161Device fingerprinting, firmware check
Cloud SnapshotProvider APICloud VMsN/ADisk image analysis
Container RegistryHTTPSContainer images443Image vulnerability scanning
API-BasedREST/HTTPSSaaS/Cloud443Configuration assessment

Cloud Snapshot Analysis Flow

1. Scanner requests disk snapshot via cloud API
2. Cloud provider creates snapshot of VM root + data disks
3. Scanner mounts snapshot in isolated analysis environment
4. Scanner examines OS packages, configurations, file system
5. Snapshot is deleted after analysis (no persistent copies)
6. Results sent to central management console

Workflow

Step 1: SSH-Based Agentless Scanning (Linux)

# Create dedicated scan SSH key pair
ssh-keygen -t ed25519 -f /opt/scanner/.ssh/scan_key -N "" \
  -C "vuln-scanner@security.local"

# Deploy public key to targets via Ansible
# ansible-playbook deploy_scan_key.yml

# Test connectivity to target
ssh -i /opt/scanner/.ssh/scan_key -o ConnectTimeout=10 \
  scanner@target-host "cat /etc/os-release && dpkg -l 2>/dev/null || rpm -qa"
import paramiko
import json

class AgentlessLinuxScanner:
    """SSH-based agentless vulnerability scanner for Linux systems."""

    def __init__(self, key_path):
        self.key_path = key_path

    def connect(self, hostname, username="scanner", port=22):
        """Establish SSH connection to target."""
        client = paramiko.SSHClient()
        client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
        key = paramiko.Ed25519Key.from_private_key_file(self.key_path)
        client.connect(hostname, port=port, username=username, pkey=key,
                       timeout=30, banner_timeout=30)
        return client

    def get_os_info(self, client):
        """Detect OS type and version."""
        _, stdout, _ = client.exec_command("cat /etc/os-release", timeout=10)
        os_release = stdout.read().decode()
        info = {}
        for line in os_release.strip().split("\n"):
            if "=" in line:
                key, val = line.split("=", 1)
                info[key] = val.strip('"')
        return info

    def get_installed_packages(self, client):
        """Enumerate installed packages."""
        # Try dpkg (Debian/Ubuntu)
        _, stdout, _ = client.exec_command(
            "dpkg-query -W -f='${Package}|${Version}|${Architecture}\\n'",
            timeout=30
        )
        output = stdout.read().decode().strip()
        if output:
            packages = []
            for line in output.split("\n"):
                parts = line.split("|")
                if len(parts) >= 2:
                    packages.append({
                        "name": parts[0],
                        "version": parts[1],
                        "arch": parts[2] if len(parts) > 2 else "",
                        "manager": "dpkg"
                    })
            return packages

        # Try rpm (RHEL/CentOS/Fedora)
        _, stdout, _ = client.exec_command(
            "rpm -qa --queryformat '%{NAME}|%{VERSION}-%{RELEASE}|%{ARCH}\\n'",
            timeout=30
        )
        output = stdout.read().decode().strip()
        packages = []
        for line in output.split("\n"):
            parts = line.split("|")
            if len(parts) >= 2:
                packages.append({
                    "name": parts[0],
                    "version": parts[1],
                    "arch": parts[2] if len(parts) > 2 else "",
                    "manager": "rpm"
                })
        return packages

    def check_kernel_version(self, client):
        """Get running kernel version."""
        _, stdout, _ = client.exec_command("uname -r", timeout=10)
        return stdout.read().decode().strip()

    def check_listening_ports(self, client):
        """Enumerate listening network services."""
        _, stdout, _ = client.exec_command(
            "ss -tlnp 2>/dev/null || netstat -tlnp 2>/dev/null",
            timeout=10
        )
        return stdout.read().decode().strip()

    def scan_host(self, hostname, username="scanner"):
        """Perform full agentless scan of a host."""
        print(f"[*] Scanning {hostname}...")
        client = self.connect(hostname, username)

        result = {
            "hostname": hostname,
            "os_info": self.get_os_info(client),
            "kernel": self.check_kernel_version(client),
            "packages": self.get_installed_packages(client),
            "listening_ports": self.check_listening_ports(client),
        }

        client.close()
        print(f"  [+] Found {len(result['packages'])} packages on {hostname}")
        return result

Step 2: WinRM-Based Agentless Scanning (Windows)

import winrm

class AgentlessWindowsScanner:
    """WinRM-based agentless vulnerability scanner for Windows."""

    def __init__(self, username, password, domain=None):
        self.username = username
        self.password = password
        self.domain = domain

    def connect(self, hostname, use_ssl=True):
        """Create WinRM session."""
        port = 5986 if use_ssl else 5985
        transport = "ntlm"
        user = f"{self.domain}\\{self.username}" if self.domain else self.username
        session = winrm.Session(
            f"{'https' if use_ssl else 'http'}://{hostname}:{port}/wsman",
            auth=(user, self.password),
            transport=transport,
            server_cert_validation="ignore"
        )
        return session

    def get_installed_hotfixes(self, session):
        """Get installed Windows updates/hotfixes."""
        cmd = "Get-HotFix | Select-Object HotFixID,InstalledOn,Description | ConvertTo-Json"
        result = session.run_ps(cmd)
        if result.status_code == 0:
            return json.loads(result.std_out.decode())
        return []

    def get_installed_software(self, session):
        """Enumerate installed software from registry."""
        cmd = """
        $paths = @(
            'HKLM:\\SOFTWARE\\Microsoft\\Windows\\CurrentVersion\\Uninstall\\*',
            'HKLM:\\SOFTWARE\\WOW6432Node\\Microsoft\\Windows\\CurrentVersion\\Uninstall\\*'
        )
        Get-ItemProperty $paths -ErrorAction SilentlyContinue |
            Where-Object {$_.DisplayName} |
            Select-Object DisplayName, DisplayVersion, Publisher |
            ConvertTo-Json
        """
        result = session.run_ps(cmd)
        if result.status_code == 0:
            return json.loads(result.std_out.decode())
        return []

    def get_os_info(self, session):
        """Get Windows OS details."""
        cmd = "Get-CimInstance Win32_OperatingSystem | Select-Object Caption,Version,BuildNumber,OSArchitecture | ConvertTo-Json"
        result = session.run_ps(cmd)
        if result.status_code == 0:
            return json.loads(result.std_out.decode())
        return {}

    def scan_host(self, hostname):
        """Perform full agentless scan of Windows host."""
        print(f"[*] Scanning {hostname} via WinRM...")
        session = self.connect(hostname)

        result = {
            "hostname": hostname,
            "os_info": self.get_os_info(session),
            "hotfixes": self.get_installed_hotfixes(session),
            "software": self.get_installed_software(session),
        }

        print(f"  [+] Found {len(result['hotfixes'])} hotfixes, "
              f"{len(result['software'])} software entries")
        return result

Step 3: Cloud Snapshot Scanning (AWS)

import boto3
import time

class AWSSnapshotScanner:
    """AWS EC2 agentless snapshot-based vulnerability scanner."""

    def __init__(self, region="us-east-1"):
        self.ec2 = boto3.client("ec2", region_name=region)

    def create_snapshot(self, volume_id, description="Security scan snapshot"):
        """Create EBS snapshot for analysis."""
        snapshot = self.ec2.create_snapshot(
            VolumeId=volume_id,
            Description=description,
            TagSpecifications=[{
                "ResourceType": "snapshot",
                "Tags": [
                    {"Key": "Purpose", "Value": "VulnScan"},
                    {"Key": "AutoDelete", "Value": "true"},
                ]
            }]
        )
        snapshot_id = snapshot["SnapshotId"]
        print(f"  [*] Creating snapshot {snapshot_id} from {volume_id}...")

        waiter = self.ec2.get_waiter("snapshot_completed")
        waiter.wait(SnapshotIds=[snapshot_id])
        print(f"  [+] Snapshot {snapshot_id} ready")
        return snapshot_id

    def delete_snapshot(self, snapshot_id):
        """Clean up snapshot after analysis."""
        self.ec2.delete_snapshot(SnapshotId=snapshot_id)
        print(f"  [+] Deleted snapshot {snapshot_id}")

    def scan_instance(self, instance_id):
        """Scan an EC2 instance via snapshot analysis."""
        print(f"[*] Agentless scan of instance {instance_id}")

        instance = self.ec2.describe_instances(
            InstanceIds=[instance_id]
        )["Reservations"][0]["Instances"][0]

        root_volume = None
        for bdm in instance.get("BlockDeviceMappings", []):
            if bdm["DeviceName"] == instance.get("RootDeviceName"):
                root_volume = bdm["Ebs"]["VolumeId"]
                break

        if not root_volume:
            print("  [!] No root volume found")
            return None

        snapshot_id = self.create_snapshot(root_volume)
        try:
            # Analysis would be performed here
            # Mount snapshot, examine packages, check configs
            result = {
                "instance_id": instance_id,
                "snapshot_id": snapshot_id,
                "root_volume": root_volume,
                "platform": instance.get("Platform", "linux"),
                "state": instance["State"]["Name"],
            }
            return result
        finally:
            self.delete_snapshot(snapshot_id)

Step 4: Vuls Open-Source Agentless Scanner

# /etc/vuls/config.toml - Vuls configuration for agentless scanning

[servers]

[servers.web-server-01]
host = "192.168.1.10"
port = "22"
user = "vuls"
keyPath = "/opt/vuls/.ssh/scan_key"
scanMode = ["fast"]

[servers.db-server-01]
host = "192.168.1.20"
port = "22"
user = "vuls"
keyPath = "/opt/vuls/.ssh/scan_key"
scanMode = ["fast-root"]
[servers.db-server-01.optional]
  [servers.db-server-01.optional.sudo]
    password = ""

[servers.container-host-01]
host = "192.168.1.30"
port = "22"
user = "vuls"
keyPath = "/opt/vuls/.ssh/scan_key"
scanMode = ["fast"]
containersIncluded = ["${running}"]
# Run Vuls agentless scan
vuls scan

# Generate report
vuls report -format-json -to-localfile

# View results
vuls tui

Best Practices

  1. Use SSH key-based authentication instead of passwords for Linux scanning
  2. Create dedicated service accounts with minimal read-only privileges for scanning
  3. Always clean up cloud snapshots after analysis to avoid storage costs and data exposure
  4. Combine agentless scanning with agent-based for comprehensive coverage
  5. Schedule scans during low-activity periods to minimize any performance impact
  6. Rotate scanning credentials regularly and store in a secrets vault
  7. Test scanner connectivity before scheduling production scans
  8. Use SNMPv3 with authentication and encryption for network device scanning

Common Pitfalls

  • Using shared credentials across multiple environments without proper segmentation
  • Not cleaning up temporary snapshots in cloud environments
  • Assuming agentless scanning has zero performance impact (network and CPU are used)
  • Missing WinRM/SSH firewall rules causing scan failures on new deployments
  • Not accounting for SSH host key changes causing authentication failures
  • Scanning OT/ICS devices with protocols they cannot safely handle

Related Skills

  • implementing-rapid7-insightvm-for-scanning
  • implementing-wazuh-for-vulnerability-detection
  • deploying-osquery-for-endpoint-monitoring
  • performing-remediation-validation-scanning

Frequently asked questions about Agentless Vulnerability Scanning

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