external/anthropic-cybersecurity-skills/skills/performing-authenticated-vulnerability-scan/SKILL.md
Plan and run authenticated (credentialed) vulnerability scans with scanners such as Nessus, Qualys, OpenVAS, or Rapid7 InsightVM, using SSH, SMB, WinRM, or SNMPv3 credentials to inspect installed software, patches, and configurations on Linux, Windows, and network devices. Use when a scan must catch vulnerabilities unauthenticated scanning misses, or when choosing and managing credential types for a credentialed scan.
npx skillsauth add seikaikyo/dash-skills performing-authenticated-vulnerability-scanInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Authenticated (credentialed) vulnerability scanning uses valid system credentials to log into target hosts and perform deep inspection of installed software, patches, configurations, and security settings. Compared to unauthenticated scanning, credentialed scans detect 45-60% more vulnerabilities with significantly fewer false positives because they can directly query installed packages, registry keys, and file system contents.
Unauthenticated scanning can only assess externally visible services and banners, often leading to:
Authenticated scanning resolves these by directly querying the target OS.
# Linux: Create scan service account
sudo useradd -m -s /bin/bash -c "Vulnerability Scanner Service Account" nessus_svc
sudo usermod -aG sudo nessus_svc
# Configure sudo for passwordless specific commands
echo 'nessus_svc ALL=(ALL) NOPASSWD: /usr/bin/dpkg -l, /usr/bin/rpm -qa, \
/bin/cat /etc/shadow, /usr/sbin/dmidecode, /usr/bin/find' | sudo tee /etc/sudoers.d/nessus_svc
# Generate SSH key pair
sudo -u nessus_svc ssh-keygen -t ed25519 -f /home/nessus_svc/.ssh/id_ed25519 -N ""
# Distribute public key to targets
for host in $(cat target_hosts.txt); do
ssh-copy-id -i /home/nessus_svc/.ssh/id_ed25519.pub nessus_svc@$host
done
# Windows: Create scan service account via PowerShell
New-ADUser -Name "SVC_VulnScan" `
-SamAccountName "SVC_VulnScan" `
-UserPrincipalName "[email protected]" `
-Description "Vulnerability Scanner Service Account" `
-PasswordNeverExpires $true `
-CannotChangePassword $true `
-Enabled $true `
-AccountPassword (Read-Host -AsSecureString "Enter Password")
# Add to local Administrators group on targets via GPO or:
Add-ADGroupMember -Identity "Domain Admins" -Members "SVC_VulnScan"
# For least privilege, use a dedicated GPO for local admin rights instead
# Enable WinRM on targets
Enable-PSRemoting -Force
Set-Item WSMan:\localhost\Service\AllowRemote -Value $true
winrm set winrm/config/service '@{AllowUnencrypted="false"}'
{
"credentials": {
"add": {
"Host": {
"SSH": [{
"auth_method": "public key",
"username": "nessus_svc",
"private_key": "/path/to/id_ed25519",
"elevate_privileges_with": "sudo",
"escalation_account": "root"
}],
"Windows": [{
"auth_method": "Password",
"username": "DOMAIN\\SVC_VulnScan",
"password": "stored_in_vault",
"domain": "domain.local"
}],
"SNMPv3": [{
"username": "nessus_snmpv3",
"security_level": "authPriv",
"auth_algorithm": "SHA-256",
"auth_password": "stored_in_vault",
"priv_algorithm": "AES-256",
"priv_password": "stored_in_vault"
}]
}
}
}
}
# Test SSH connectivity
ssh -i /path/to/key -o ConnectTimeout=10 nessus_svc@target_host "uname -a && sudo dpkg -l | head -5"
# Test WinRM connectivity
python3 -c "
import winrm
s = winrm.Session('target_host', auth=('DOMAIN\\\\SVC_VulnScan', 'password'), transport='ntlm')
r = s.run_cmd('systeminfo')
print(r.std_out.decode())
"
# Test SNMP v3 connectivity
snmpwalk -v3 -u nessus_snmpv3 -l authPriv -a SHA-256 -A authpass -x AES-256 -X privpass target_host sysDescr.0
Configure and launch the scan using the Nessus API:
# Create scan with credentials
curl -k -X POST https://nessus:8834/scans \
-H "X-Cookie: token=$TOKEN" \
-H "Content-Type: application/json" \
-d '{
"uuid": "'$TEMPLATE_UUID'",
"settings": {
"name": "Authenticated Scan - Production",
"text_targets": "192.168.1.0/24",
"launch": "ON_DEMAND"
},
"credentials": {
"add": {
"Host": {
"SSH": [{"auth_method": "public key", "username": "nessus_svc", "private_key": "/keys/id_ed25519"}],
"Windows": [{"auth_method": "Password", "username": "DOMAIN\\SVC_VulnScan", "password": "vault_ref"}]
}
}
}
}'
After scan completion, check credential verification results:
tools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.