building-vulnerability-scanning-workflow

Builds a structured vulnerability scanning workflow using tools like Nessus, Qualys, and OpenVAS to discover, prioritize, and track remediation of security vulnerabilities across infrastructure. Use when SOC teams need to establish recurring vulnerability assessment processes, integrate scan results with SIEM alerting, and build remediation tracking dashboards.

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Install skill "building-vulnerability-scanning-workflow" with this command: npx skills add mukul975/anthropic-cybersecurity-skills/mukul975-anthropic-cybersecurity-skills-building-vulnerability-scanning-workflow

Building Vulnerability Scanning Workflow

When to Use

Use this skill when:

  • SOC teams need to establish or improve recurring vulnerability scanning programs
  • Scan results require prioritization beyond raw CVSS scores using asset context and threat intelligence
  • Vulnerability data must be integrated into SIEM for correlation with exploitation attempts
  • Remediation tracking needs formalization with SLA-based dashboards and reporting

Do not use for penetration testing or active exploitation — vulnerability scanning identifies weaknesses, penetration testing validates exploitability.

Prerequisites

  • Vulnerability scanner (Tenable Nessus Professional, Qualys VMDR, or OpenVAS/Greenbone)
  • Asset inventory with criticality classifications (business-critical, standard, development)
  • Network access from scanner to all target segments (agent-based or network scan)
  • SIEM integration for scan result ingestion and correlation
  • Patch management system (WSUS, SCCM, Intune) for remediation tracking

Workflow

Step 1: Define Scan Scope and Scheduling

Create scan policies covering all asset types:

Nessus Scan Configuration (API):

import requests

nessus_url = "https://nessus.company.com:8834"
headers = {"X-ApiKeys": f"accessKey={access_key};secretKey={secret_key}"}

# Create scan policy
policy = {
    "uuid": "advanced",
    "settings": {
        "name": "SOC Weekly Infrastructure Scan",
        "description": "Weekly credentialed scan of all server and workstation segments",
        "scanner_id": 1,
        "policy_id": 0,
        "text_targets": "10.0.0.0/16, 172.16.0.0/12",
        "launch": "WEEKLY",
        "starttime": "20240315T020000",
        "rrules": "FREQ=WEEKLY;INTERVAL=1;BYDAY=SA",
        "enabled": True
    },
    "credentials": {
        "add": {
            "Host": {
                "Windows": [{
                    "domain": "company.local",
                    "username": "nessus_svc",
                    "password": "SCAN_SERVICE_PASSWORD",
                    "auth_method": "Password"
                }],
                "SSH": [{
                    "username": "nessus_svc",
                    "private_key": "/path/to/nessus_key",
                    "auth_method": "public key"
                }]
            }
        }
    }
}

response = requests.post(f"{nessus_url}/scans", headers=headers, json=policy, verify=False)
scan_id = response.json()["scan"]["id"]
print(f"Scan created: ID {scan_id}")

Qualys VMDR Scan via API:

import qualysapi

conn = qualysapi.connect(
    hostname="qualysapi.qualys.com",
    username="api_user",
    password="API_PASSWORD"
)

# Launch vulnerability scan
params = {
    "action": "launch",
    "scan_title": "Weekly_Infrastructure_Scan",
    "ip": "10.0.0.0/16",
    "option_id": "123456",  # Scan profile ID
    "iscanner_name": "Internal_Scanner_01",
    "priority": "0"
}

response = conn.request("/api/2.0/fo/scan/", params)
print(f"Scan launched: {response}")

Step 2: Process and Prioritize Scan Results

Download results and apply risk-based prioritization:

import requests
import csv

# Export Nessus results
response = requests.get(
    f"{nessus_url}/scans/{scan_id}/export",
    headers=headers,
    params={"format": "csv"},
    verify=False
)

# Parse and prioritize
vulns = []
reader = csv.DictReader(response.text.splitlines())
for row in reader:
    cvss = float(row.get("CVSS v3.0 Base Score", 0))
    asset_criticality = get_asset_criticality(row["Host"])  # From asset inventory

    # Risk-based priority calculation
    risk_score = cvss * asset_criticality_multiplier(asset_criticality)

    # Boost score if actively exploited (check CISA KEV)
    if row.get("CVE") in cisa_kev_list:
        risk_score *= 1.5

    vulns.append({
        "host": row["Host"],
        "plugin_name": row["Name"],
        "severity": row["Risk"],
        "cvss": cvss,
        "cve": row.get("CVE", "N/A"),
        "risk_score": round(risk_score, 1),
        "asset_criticality": asset_criticality,
        "kev": row.get("CVE") in cisa_kev_list
    })

# Sort by risk score
vulns.sort(key=lambda x: x["risk_score"], reverse=True)

CISA KEV (Known Exploited Vulnerabilities) Check:

import requests

kev_response = requests.get(
    "https://www.cisa.gov/sites/default/files/feeds/known_exploited_vulnerabilities.json"
)
kev_data = kev_response.json()
cisa_kev_list = {v["cveID"] for v in kev_data["vulnerabilities"]}

# Check if vulnerability is actively exploited
def is_actively_exploited(cve_id):
    return cve_id in cisa_kev_list

Step 3: Define Remediation SLAs

Apply SLA-based remediation timelines:

PriorityCVSS RangeAsset TypeSLAExamples
P1 Critical9.0-10.0 + KEVAll assets24 hoursLog4Shell, EternalBlue on prod servers
P2 High7.0-8.9 or 9.0+ non-KEVBusiness-critical7 daysRCE without known exploit
P3 Medium4.0-6.9Business-critical30 daysAuthenticated privilege escalation
P4 Low0.1-3.9Standard90 daysInformation disclosure, low-impact DoS
P5 Informational0.0DevelopmentNext cycleBest practice findings, config hardening

Step 4: Integrate with SIEM for Exploitation Detection

Correlate vulnerability scan data with SIEM alerts to detect active exploitation:

index=vulnerability sourcetype="nessus:scan"
| eval vuln_key = Host.":".CVE
| join vuln_key type=left [
    search index=ids_ips sourcetype="snort" OR sourcetype="suricata"
    | eval vuln_key = dest_ip.":".cve_id
    | stats count AS exploit_attempts, latest(_time) AS last_exploit_attempt by vuln_key
  ]
| where isnotnull(exploit_attempts)
| eval risk = "CRITICAL — Vulnerability being actively exploited"
| sort - exploit_attempts
| table Host, CVE, plugin_name, cvss_score, exploit_attempts, last_exploit_attempt, risk

Alert when KEV vulnerabilities are detected on critical assets:

index=vulnerability sourcetype="nessus:scan" severity="Critical"
| lookup cisa_kev_lookup.csv cve_id AS CVE OUTPUT kev_status, due_date
| where kev_status="active"
| lookup asset_criticality_lookup.csv ip AS Host OUTPUT criticality
| where criticality IN ("business-critical", "mission-critical")
| table Host, CVE, plugin_name, cvss_score, kev_status, due_date, criticality

Step 5: Build Remediation Tracking Dashboard

Splunk Dashboard for Vulnerability Metrics:

-- Open vulnerabilities by severity
index=vulnerability sourcetype="nessus:scan" status="open"
| stats count by severity
| eval order = case(severity="Critical", 1, severity="High", 2, severity="Medium", 3,
                    severity="Low", 4, 1=1, 5)
| sort order

-- SLA compliance tracking
index=vulnerability sourcetype="nessus:scan" status="open"
| eval sla_days = case(
    severity="Critical", 1,
    severity="High", 7,
    severity="Medium", 30,
    severity="Low", 90
  )
| eval days_open = round((now() - first_detected) / 86400)
| eval sla_status = if(days_open > sla_days, "OVERDUE", "Within SLA")
| stats count by severity, sla_status

-- Remediation trend over 90 days
index=vulnerability sourcetype="nessus:scan"
| eval is_open = if(status="open", 1, 0)
| eval is_closed = if(status="fixed", 1, 0)
| timechart span=1w sum(is_open) AS opened, sum(is_closed) AS remediated

Step 6: Automate Remediation Ticketing

Create tickets automatically for high-priority findings:

import requests

servicenow_url = "https://company.service-now.com/api/now/table/incident"
headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {snow_token}"
}

for vuln in vulns:
    if vuln["risk_score"] >= 8.0:
        ticket = {
            "short_description": f"[VULN] {vuln['cve']} — {vuln['plugin_name']} on {vuln['host']}",
            "description": (
                f"Vulnerability: {vuln['plugin_name']}\n"
                f"CVE: {vuln['cve']}\n"
                f"CVSS: {vuln['cvss']}\n"
                f"Host: {vuln['host']}\n"
                f"Asset Criticality: {vuln['asset_criticality']}\n"
                f"CISA KEV: {'YES' if vuln['kev'] else 'NO'}\n"
                f"Risk Score: {vuln['risk_score']}\n"
                f"Remediation SLA: {'24 hours' if vuln['kev'] else '7 days'}"
            ),
            "urgency": "1" if vuln["kev"] else "2",
            "impact": "1" if vuln["asset_criticality"] == "business-critical" else "2",
            "assignment_group": "IT Infrastructure",
            "category": "Vulnerability"
        }
        response = requests.post(servicenow_url, headers=headers, json=ticket)
        print(f"Ticket created: {response.json()['result']['number']}")

Key Concepts

TermDefinition
CVSSCommon Vulnerability Scoring System — standardized severity rating (0-10) for vulnerabilities
CISA KEVKnown Exploited Vulnerabilities catalog — CISA-maintained list of vulnerabilities with confirmed active exploitation
Credentialed ScanVulnerability scan using authenticated access for deeper detection than network-only scanning
Asset CriticalityBusiness impact classification determining remediation priority (mission-critical, business-critical, standard)
Remediation SLAService Level Agreement defining maximum time allowed to patch vulnerabilities by severity
EPSSExploit Prediction Scoring System — ML-based probability score predicting likelihood of exploitation

Tools & Systems

  • Tenable Nessus / Tenable.io: Enterprise vulnerability scanner with 200,000+ plugin checks and compliance auditing
  • Qualys VMDR: Cloud-based vulnerability management with asset discovery, prioritization, and patching integration
  • OpenVAS (Greenbone): Open-source vulnerability scanner with community-maintained vulnerability feed
  • CISA KEV Catalog: US government maintained list of actively exploited vulnerabilities requiring mandatory remediation
  • Rapid7 InsightVM: Vulnerability management platform with live dashboards and remediation project tracking

Common Scenarios

  • Zero-Day Response: New CVE published — run targeted scan for affected software, cross-reference with KEV and exploit databases
  • Compliance Audit Prep: Generate PCI DSS or HIPAA vulnerability report showing scan coverage and remediation status
  • Post-Patch Verification: Rescan patched systems to confirm vulnerability closure and update tracking dashboard
  • Network Expansion: New subnet added to infrastructure — onboard to scan scope with appropriate policy
  • Third-Party Risk: Scan externally-facing assets to validate vendor patch compliance before integration

Output Format

VULNERABILITY SCAN REPORT — Weekly Summary
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Scan Date:    2024-03-16 02:00 UTC
Scan Scope:   10.0.0.0/16 (1,247 hosts scanned)
Duration:     4h 23m
Coverage:     98.7% (16 hosts unreachable)

Findings:
  Severity     Count    New    CISA KEV
  Critical     23       5      3
  High         187      34     12
  Medium       892      78     0
  Low          1,456    112    0
  Info         3,891    201    0

Top Priority (P1 — 24hr SLA):
  CVE-2024-21762  FortiOS RCE           3 hosts   KEV: YES
  CVE-2024-1709   ConnectWise RCE       1 host    KEV: YES
  CVE-2024-3400   Palo Alto PAN-OS RCE  2 hosts   KEV: YES

SLA Compliance:
  Critical: 82% within SLA (4 overdue)
  High:     91% within SLA (17 overdue)
  Medium:   88% within SLA (107 overdue)

Tickets Created: 39 (ServiceNow)

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