performing-authenticated-scan-with-openvas

$npx mdskill add mukul975/Anthropic-Cybersecurity-Skills/performing-authenticated-scan-with-openvas

Execute authenticated scans to uncover hidden vulnerabilities.

  • Detects local flaws unfindable by unauthenticated methods.
  • Requires GVM, PostgreSQL, Redis, and NVT feeds.
  • Logs in via SSH, SMB, or ESXi credentials.
  • Reports findings with severity ratings and remediation steps.

SKILL.md

.github/skills/performing-authenticated-scan-with-openvasView on GitHub ↗
---
name: performing-authenticated-scan-with-openvas
description: Configure and execute authenticated vulnerability scans using OpenVAS/Greenbone Vulnerability Management with SSH and SMB credentials for comprehensive host-level assessment.
domain: cybersecurity
subdomain: vulnerability-management
tags: [openvas, gvm, authenticated-scan, vulnerability-scanning, greenbone, network-security, credentialed-scan]
version: "1.0"
author: mahipal
license: Apache-2.0
---

# Performing Authenticated Scan with OpenVAS

## Overview

OpenVAS (Open Vulnerability Assessment Scanner) is the scanner component of the Greenbone Vulnerability Management (GVM) framework. Authenticated scans use valid credentials (SSH for Linux, SMB for Windows, ESXi for VMware) to log into target systems, enabling detection of local vulnerabilities, missing patches, and misconfigurations that unauthenticated scans cannot identify. Authenticated scans typically find 10-50x more vulnerabilities than unauthenticated scans.


## When to Use

- When conducting security assessments that involve performing authenticated scan with openvas
- 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

- GVM 22.x+ installed (gvmd, openvas-scanner, gsad, ospd-openvas)
- PostgreSQL database configured for gvmd
- Redis configured for openvas-scanner
- NVT feed synchronized (greenbone-nvt-sync or greenbone-feed-sync)
- SSH credentials for Linux targets or SMB credentials for Windows targets
- Network access to target hosts on scan ports

## Installation

### Install GVM on Kali Linux / Debian
```bash
# Install GVM package
sudo apt update && sudo apt install -y gvm

# Run initial setup (creates admin account, syncs feeds)
sudo gvm-setup

# Check installation status
sudo gvm-check-setup

# Start all GVM services
sudo gvm-start

# Access Greenbone Security Assistant at https://127.0.0.1:9392
```

### Install via Docker (Recommended for Production)
```bash
# Pull Greenbone Community Edition containers
docker pull greenbone/gvm:stable

# Run with docker-compose
curl -fsSL https://greenbone.github.io/docs/latest/_static/docker-compose-22.4.yml \
  -o docker-compose.yml

# Start the stack
docker compose -f docker-compose.yml -p greenbone-community-edition up -d

# Wait for feed sync (initial sync takes 15-30 minutes)
docker compose -f docker-compose.yml -p greenbone-community-edition \
  logs -f gvmd 2>&1 | grep -i "feed"
```

## Configuring Credentials

### SSH Credentials for Linux Targets
```bash
# Using gvm-cli to create SSH credential with key-based auth
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<create_credential>
    <name>Linux SSH Key</name>
    <type>usk</type>
    <login>scan_user</login>
    <key>
      <private><![CDATA['"$(cat /home/scan_user/.ssh/id_rsa)"']]></private>
      <phrase>key_passphrase</phrase>
    </key>
  </create_credential>'

# SSH credential with password authentication
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<create_credential>
    <name>Linux SSH Password</name>
    <type>up</type>
    <login>scan_user</login>
    <password>scan_password_here</password>
  </create_credential>'
```

### SMB Credentials for Windows Targets
```bash
# Create SMB credential for Windows authenticated scanning
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<create_credential>
    <name>Windows SMB Cred</name>
    <type>up</type>
    <login>DOMAIN\scan_account</login>
    <password>smb_password_here</password>
  </create_credential>'
```

### ESXi Credentials
```bash
# Create ESXi credential for VMware host scanning
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<create_credential>
    <name>ESXi Root</name>
    <type>up</type>
    <login>root</login>
    <password>esxi_password_here</password>
  </create_credential>'
```

## Creating Scan Targets

```bash
# Create target with SSH credential (Linux hosts)
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<create_target>
    <name>Linux Production Servers</name>
    <hosts>192.168.1.10,192.168.1.11,192.168.1.12</hosts>
    <port_list id="33d0cd82-57c6-11e1-8ed1-406186ea4fc5"/>
    <ssh_credential id="CREDENTIAL_UUID_HERE">
      <port>22</port>
    </ssh_credential>
    <alive_test>ICMP, TCP-ACK Service and ARP Ping</alive_test>
  </create_target>'

# Create target with SMB credential (Windows hosts)
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<create_target>
    <name>Windows Domain Controllers</name>
    <hosts>192.168.1.20,192.168.1.21</hosts>
    <port_list id="33d0cd82-57c6-11e1-8ed1-406186ea4fc5"/>
    <smb_credential id="SMB_CREDENTIAL_UUID_HERE"/>
    <alive_test>ICMP, TCP-ACK Service and ARP Ping</alive_test>
  </create_target>'
```

## Scan Configuration

### Built-in Scan Configs
| Config Name | OID | Use Case |
|------------|-----|----------|
| Full and fast | daba56c8-73ec-11df-a475-002264764cea | Standard production scan |
| Full and deep | 708f25c4-7489-11df-8094-002264764cea | Thorough scan, may be disruptive |
| System Discovery | 8715c877-47a0-438d-98a3-27c7a6ab2196 | Host and service enumeration |

### Create Custom Scan Config for Authenticated Scan
```bash
# Clone "Full and fast" config and customize
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<create_config>
    <copy>daba56c8-73ec-11df-a475-002264764cea</copy>
    <name>Authenticated Full Scan</name>
  </create_config>'
```

## Running the Scan

### Create and Start Scan Task
```bash
# Create scan task
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<create_task>
    <name>Weekly Authenticated Scan - Linux Prod</name>
    <config id="CONFIG_UUID"/>
    <target id="TARGET_UUID"/>
    <scanner id="08b69003-5fc2-4037-a479-93b440211c73"/>
  </create_task>'

# Start the scan task
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<start_task task_id="TASK_UUID"/>'

# Check scan progress
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<get_tasks task_id="TASK_UUID"/>'
```

### Schedule Recurring Scans
```bash
# Create weekly schedule (every Sunday at 2:00 AM UTC)
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<create_schedule>
    <name>Weekly Sunday 2AM</name>
    <icalendar>
BEGIN:VCALENDAR
VERSION:2.0
BEGIN:VEVENT
DTSTART:20240101T020000Z
RRULE:FREQ=WEEKLY;BYDAY=SU
DURATION:PT12H
END:VEVENT
END:VCALENDAR
    </icalendar>
    <timezone>UTC</timezone>
  </create_schedule>'
```

## Exporting Results

```bash
# Export scan report as XML
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<get_reports report_id="REPORT_UUID" format_id="a994b278-1f62-11e1-96ac-406186ea4fc5"/>'

# Export as CSV
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<get_reports report_id="REPORT_UUID" format_id="c1645568-627a-11e3-a660-406186ea4fc5"/>'

# Use python-gvm for programmatic access
python3 -c "
from gvm.connections import UnixSocketConnection
from gvm.protocols.gmp import Gmp
from gvm.transforms import EtreeCheckCommandTransform

connection = UnixSocketConnection(path='/run/gvmd/gvmd.sock')
transform = EtreeCheckCommandTransform()
with Gmp(connection=connection, transform=transform) as gmp:
    gmp.authenticate('admin', 'password')
    reports = gmp.get_reports()
    print(f'Total reports: {len(reports)}')
"
```

## Validating Authentication Success

```bash
# Check if credentials were accepted during scan
# In the scan report, look for NVT "Authentication tests" results:
# - OID 1.3.6.1.4.1.25623.1.0.103591 (SSH authentication successful)
# - OID 1.3.6.1.4.1.25623.1.0.90023 (SMB authentication successful)

# Verify via gvm-cli
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<get_results filter="name=SSH rows=10 sort-reverse=severity"/>'
```

## References

- [OpenVAS Official Site](https://www.openvas.org/)
- [Greenbone Community Edition Docs](https://greenbone.github.io/docs/latest/)
- [GVM GitHub Repository](https://github.com/greenbone/openvas-scanner)
- [python-gvm Library](https://github.com/greenbone/python-gvm)
- [GVM Docker Deployment](https://greenbone.github.io/docs/latest/22.4/container/)

More from mukul975/Anthropic-Cybersecurity-Skills

SkillDescription
acquiring-disk-image-with-dd-and-dcflddCreate forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
analyzing-active-directory-acl-abuseDetect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
analyzing-android-malware-with-apktoolPerform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
analyzing-api-gateway-access-logs>
analyzing-apt-group-with-mitre-navigatorAnalyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.
analyzing-azure-activity-logs-for-threats>
analyzing-bootkit-and-rootkit-samples>
analyzing-browser-forensics-with-hindsightAnalyze Chromium-based browser artifacts using Hindsight to extract browsing history, downloads, cookies, cached content, autofill data, saved passwords, and browser extensions from Chrome, Edge, Brave, and Opera for forensic investigation.
analyzing-campaign-attribution-evidenceCampaign attribution analysis involves systematically evaluating evidence to determine which threat actor or group is responsible for a cyber operation. This skill covers collecting and weighting attr
analyzing-certificate-transparency-for-phishingMonitor Certificate Transparency logs using crt.sh and Certstream to detect phishing domains, lookalike certificates, and unauthorized certificate issuance targeting your organization.