performing-authenticated-scan-with-openvas
Configure and execute authenticated vulnerability scans using OpenVAS/Greenbone Vulnerability Management with SSH and SMB credentials for comprehensive host-level assessment.
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Installation Guide
How to use performing-authenticated-scan-with-openvas on Cursor
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Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
performing-authenticated-scan-with-openvas
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches performing-authenticated-scan-with-openvas from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate performing-authenticated-scan-with-openvas. Access via /performing-authenticated-scan-with-openvas in your agent's command palette.
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
| 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 |
| nist_csf | - ID.RA-01 - ID.RA-02 - ID.IM-02 - ID.RA-06 |
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
# 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)
# 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
# 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
# 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
# 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
# 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
# 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
# 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
# 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
# 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
# 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
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Use Cases
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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Reviews
- KKofi Agarwal★★★★★Dec 28, 2024
performing-authenticated-scan-with-openvas reduced setup friction for our internal harness; good balance of opinion and flexibility.
- HHarper Iyer★★★★★Dec 16, 2024
Keeps context tight: performing-authenticated-scan-with-openvas is the kind of skill you can hand to a new teammate without a long onboarding doc.
- LLiam Dixit★★★★★Dec 12, 2024
performing-authenticated-scan-with-openvas has been reliable in day-to-day use. Documentation quality is above average for community skills.
- PPratham Ware★★★★★Dec 4, 2024
Solid pick for teams standardizing on skills: performing-authenticated-scan-with-openvas is focused, and the summary matches what you get after install.
- IIra Brown★★★★★Dec 4, 2024
We added performing-authenticated-scan-with-openvas from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- SSakshi Patil★★★★★Nov 23, 2024
We added performing-authenticated-scan-with-openvas from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- LLiam Wang★★★★★Nov 23, 2024
Solid pick for teams standardizing on skills: performing-authenticated-scan-with-openvas is focused, and the summary matches what you get after install.
- KKofi Desai★★★★★Nov 19, 2024
performing-authenticated-scan-with-openvas is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- HHarper Anderson★★★★★Nov 11, 2024
I recommend performing-authenticated-scan-with-openvas for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- HHarper Robinson★★★★★Nov 7, 2024
Registry listing for performing-authenticated-scan-with-openvas matched our evaluation — installs cleanly and behaves as described in the markdown.
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