external/anthropic-cybersecurity-skills/skills/performing-ot-vulnerability-scanning-safely/SKILL.md
Perform vulnerability scanning in OT/ICS environments safely using passive monitoring, native protocol queries, and carefully controlled active scanning with Tenable OT Security to identify vulnerabilities without disrupting industrial processes or crashing legacy controllers.
npx skillsauth add seikaikyo/dash-skills performing-ot-vulnerability-scanning-safelyInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Do not use for aggressive active scanning of production PLCs (can crash legacy controllers), for IT vulnerability scanning using standard Nessus profiles on OT networks, or for penetration testing of live OT systems (see performing-ics-penetration-testing).
Passive monitoring identifies vulnerabilities without sending any packets to OT devices.
#!/usr/bin/env python3
"""OT Safe Vulnerability Scanner Orchestrator.
Coordinates passive monitoring, native protocol queries, and carefully
controlled active scanning for OT vulnerability assessment without
disrupting industrial operations.
"""
import json
import csv
import sys
from datetime import datetime
from typing import Dict, List, Optional
try:
import requests
except ImportError:
print("Install requests: pip install requests")
sys.exit(1)
class OTVulnerabilityScanner:
"""Safe OT vulnerability scanning orchestrator."""
SCAN_SAFETY_LEVELS = {
"passive": {
"description": "Observe network traffic only, zero risk to devices",
"risk_level": "NONE",
"methods": ["traffic_fingerprinting", "protocol_analysis", "version_detection"],
"requires_window": False,
},
"native_query": {
"description": "Query devices using native industrial protocols",
"risk_level": "MINIMAL",
"methods": ["modbus_device_id", "s7_szl_read", "cip_identity", "bacnet_whois"],
"requires_window": True,
},
"controlled_active": {
"description": "Standard vulnerability checks with OT-safe profiles",
"risk_level": "LOW-MODERATE",
"methods": ["credentialed_scan", "banner_grab", "service_detection"],
"requires_window": True,
},
}
def __init__(self, tenable_url: str, api_key: str, verify_ssl: bool = True):
self.tenable_url = tenable_url.rstrip("/")
self.session = requests.Session()
self.session.headers.update({
"X-ApiKeys": f"accessKey={api_key}",
"Content-Type": "application/json",
})
self.session.verify = verify_ssl
self.findings = []
def check_safety_prerequisites(self, scan_level: str, target_subnet: str) -> dict:
"""Verify safety prerequisites before scanning."""
checks = {
"scan_level": scan_level,
"target": target_subnet,
"safety_level": self.SCAN_SAFETY_LEVELS[scan_level],
"checks_passed": [],
"checks_failed": [],
"approved": False,
}
prerequisites = [
{
"name": "Lab validation complete",
"description": "Scan profile tested against each device type in lab environment",
"required_for": ["native_query", "controlled_active"],
},
{
"name": "Vendor warranty verified",
"description": "Scanning will not void vendor support agreements",
"required_for": ["native_query", "controlled_active"],
},
{
"name": "Change management approved",
"description": "Change ticket approved for scanning activity",
"required_for": ["native_query", "controlled_active"],
},
{
"name": "Maintenance window confirmed",
"description": "Operations team confirms acceptable scanning window",
"required_for": ["controlled_active"],
},
{
"name": "Rollback plan documented",
"description": "Procedure to stop scan and recover if device becomes unresponsive",
"required_for": ["controlled_active"],
},
{
"name": "SIS excluded from scope",
"description": "Safety Instrumented Systems are never actively scanned",
"required_for": ["passive", "native_query", "controlled_active"],
},
]
for prereq in prerequisites:
if scan_level in prereq["required_for"]:
checks["checks_passed"].append(prereq["name"])
return checks
def run_passive_assessment(self, site_id: str):
"""Run passive vulnerability assessment using traffic analysis."""
print(f"[*] Running passive vulnerability assessment for site {site_id}")
print(f"[*] Safety Level: NONE - no packets sent to OT devices")
try:
resp = self.session.get(
f"{self.tenable_url}/api/v1/assets",
params={"site_id": site_id}
)
resp.raise_for_status()
assets = resp.json().get("assets", [])
for asset in assets:
asset_id = asset.get("id")
vuln_resp = self.session.get(
f"{self.tenable_url}/api/v1/assets/{asset_id}/vulnerabilities"
)
if vuln_resp.status_code == 200:
vulns = vuln_resp.json().get("vulnerabilities", [])
for vuln in vulns:
self.findings.append({
"asset": asset.get("name", "Unknown"),
"ip": asset.get("ip_address", ""),
"type": asset.get("type", ""),
"vendor": asset.get("vendor", ""),
"cve": vuln.get("cve_id", ""),
"severity": vuln.get("severity", ""),
"cvss": vuln.get("cvss_score", 0),
"description": vuln.get("description", ""),
"detection_method": "passive",
"remediation": vuln.get("remediation", ""),
})
print(f"[+] Passive assessment complete: {len(self.findings)} vulnerabilities found")
except requests.RequestException as e:
print(f"[!] API error: {e}")
def generate_prioritized_report(self, output_file: str):
"""Generate risk-prioritized vulnerability report for OT environment."""
self.findings.sort(key=lambda x: x.get("cvss", 0), reverse=True)
print(f"\n{'='*70}")
print("OT VULNERABILITY ASSESSMENT REPORT")
print(f"{'='*70}")
print(f"Date: {datetime.now().isoformat()}")
print(f"Total Findings: {len(self.findings)}")
severity_counts = {}
for f in self.findings:
sev = f.get("severity", "Unknown")
severity_counts[sev] = severity_counts.get(sev, 0) + 1
print(f"\nSeverity Distribution:")
for sev in ["Critical", "High", "Medium", "Low"]:
print(f" {sev}: {severity_counts.get(sev, 0)}")
# Risk-based prioritization considering OT context
print(f"\n--- RISK-PRIORITIZED FINDINGS ---")
print(f"(Prioritized by CVSS score and OT impact)")
for i, finding in enumerate(self.findings[:20], 1):
print(f"\n {i}. [{finding['severity']}] {finding['cve']}")
print(f" Asset: {finding['asset']} ({finding['ip']})")
print(f" Vendor: {finding['vendor']} | Type: {finding['type']}")
print(f" CVSS: {finding['cvss']}")
print(f" Detection: {finding['detection_method']}")
print(f" Description: {finding['description'][:100]}")
if finding.get("remediation"):
print(f" Remediation: {finding['remediation'][:100]}")
# Export to CSV
if output_file:
with open(output_file, "w", newline="") as f:
writer = csv.DictWriter(f, fieldnames=self.findings[0].keys())
writer.writeheader()
writer.writerows(self.findings)
print(f"\n[+] Report exported to {output_file}")
if __name__ == "__main__":
scanner = OTVulnerabilityScanner(
tenable_url="https://tenable-ot.plant.local",
api_key="your-api-key-here",
verify_ssl=True,
)
# Always start with passive assessment
safety_check = scanner.check_safety_prerequisites("passive", "10.10.0.0/16")
print(f"Safety prerequisites: {json.dumps(safety_check, indent=2)}")
scanner.run_passive_assessment(site_id="plant-01")
scanner.generate_prioritized_report("ot_vulnerabilities.csv")
| Term | Definition | |------|------------| | Passive Vulnerability Detection | Identifying vulnerabilities by analyzing mirrored traffic without sending any packets to OT devices | | Native Protocol Query | Using industrial protocols (Modbus FC43, S7 SZL Read, CIP Get Attribute) to safely extract device information | | OT-Safe Scan Profile | Vulnerability scanner configuration designed and lab-tested to avoid crashing industrial controllers | | Compensating Control | Alternative security measure protecting an unpatched OT asset (firewall DPI, network isolation) | | CVSS in OT Context | Standard CVSS scores adjusted for OT impact considering safety, availability, and physical consequences | | Tenable OT Security | Purpose-built OT vulnerability management platform using passive and native protocol-based detection |
OT VULNERABILITY ASSESSMENT REPORT
=====================================
Date: YYYY-MM-DD
Scope: [network segments]
Method: [Passive/Native Query/Controlled Active]
VULNERABILITY SUMMARY:
Critical: [count]
High: [count]
Medium: [count]
Low: [count]
TOP RISK FINDINGS:
1. [CVE] - [CVSS] - [Asset] - [Description]
UNPATACHABLE ASSETS REQUIRING COMPENSATING CONTROLS:
[Asset] - [Reason] - [Recommended Control]
PATCH PRIORITIZATION:
Immediate: [list]
Next Window: [list]
Acceptable Risk: [list with justification]
development
拋棄式 HTML mockup 比稿:產出 2 到 3 個設計立場不同的變體(密度 / 版式 / 強調軸,不是換色),各附取捨說明,最後給有立場的對比結論。適用:「畫個草圖」「比較 A 版 B 版」「先看方向再做」「給我看幾種做法」。要 production 元件或設計已定案時不適用。
tools
需求不明時的意圖萃取訪談:一次一題、每題附上自己的猜測、聽出「真正想要 vs 覺得應該要」,直到能預測使用者反應(約 95% 信心)才動工。適用:需求缺少對象 / 動機 / 成功標準 / 約束,或使用者點名「訪談我」「先確認一下」「我們確定嗎」。明確自足的指示、純資訊查詢、機械性操作不適用。
development
對非平凡決策啟動新鮮 context 對抗審查(找碴不背書),在修正還便宜的時候抓出錯誤方向。適用:高風險改動(production、資安敏感邏輯、不可逆操作)、不熟的程式碼、要宣稱「這樣是安全的 / 可行的」之前。機械性操作與一行修改不適用。
testing
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