[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M73ESQEARN0FYP46ZQD968PS":3,"skill-same:01M73ESQEARN0FYP46ZQD968PS":92},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":16,"sourceHtmlUrl":17,"categories":18,"keywords":19,"publishedAt":20,"linkOnly":21,"markdownContent":22,"markdownBody":23,"frontMatter":24,"refName":52,"commitSha":53,"skillDirectory":54,"forksCount":55,"repositoryHtmlUrl":56,"repositoryHomepageUrl":57,"ownerHtmlUrl":58,"ownerBlogUrl":59,"ownerDescription":60,"updatedAt":61,"install":62,"resources":75},"01M73ESQEARN0FYP46ZQD968PS","performing-ot-vulnerability-scanning-safely",null,"Perform vulnerability scanning in OT\u002FICS 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.","Horonomos-laps\u002FYana-AI","Horonomos-laps","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F355299122?v=4","01M76B3QPXE88ET2SQPDPVATZT"," Horonomos-laps","01M72ZQRJPCYPSSWT4D00VJR2A",13,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fperforming-ot-vulnerability-scanning-safely\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fperforming-ot-vulnerability-scanning-safely\u002FSKILL.md",[],[],"2026-11-11 15:11:14",false,"---\nname: performing-ot-vulnerability-scanning-safely\ndescription: 'Perform vulnerability scanning in OT\u002FICS environments safely using passive\n  monitoring, native protocol queries, and carefully controlled active scanning with\n  Tenable OT Security to identify vulnerabilities without disrupting industrial processes\n  or crashing legacy controllers.\n\n  '\ndomain: cybersecurity\nsubdomain: ot-ics-security\ntags:\n- ot-security\n- ics\n- vulnerability-scanning\n- tenable\n- nessus\n- passive-scanning\n- risk-management\n- nist\nversion: '1.0'\nauthor: mahipal\nlicense: Apache-2.0\nnist_csf:\n- PR.IR-01\n- DE.CM-01\n- ID.AM-05\n- GV.OC-02\nmitre_attack:\n- T1078\n- T1190\n- T1059\n- T1046\n- T0816\nsource: https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\nsource_commit: 04450304b12645cb2b974ab96d28c0664758a88d\n---\n\n# Performing OT Vulnerability Scanning Safely\n\n## When to Use\n\n- When conducting vulnerability assessments in OT environments with legacy controllers\n- When implementing continuous vulnerability monitoring without impacting process availability\n- When preparing for IEC 62443 or NERC CIP compliance audits requiring vulnerability data\n- When evaluating risk-based patching priorities for OT assets\n- When validating that compensating controls protect unpatched ICS devices\n\n**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).\n\n## Prerequisites\n\n- Tenable OT Security (formerly Tenable.ot\u002FIndegy) or equivalent OT-safe scanning platform\n- Passive monitoring sensor deployed on SPAN\u002FTAP at OT network segments\n- Lab-tested scanning profiles verified against each device type before production use\n- Change management approval and maintenance window for any active scanning\n- Vendor warranty verification to confirm scanning will not void support agreements\n\n## Workflow\n\n### Step 1: Deploy Passive Vulnerability Detection\n\nPassive monitoring identifies vulnerabilities without sending any packets to OT devices.\n\n```python\n#!\u002Fusr\u002Fbin\u002Fenv python3\n\"\"\"OT Safe Vulnerability Scanner Orchestrator.\n\nCoordinates passive monitoring, native protocol queries, and carefully\ncontrolled active scanning for OT vulnerability assessment without\ndisrupting industrial operations.\n\"\"\"\n\nimport json\nimport csv\nimport sys\nfrom datetime import datetime\nfrom typing import Dict, List, Optional\n\ntry:\n    import requests\nexcept ImportError:\n    print(\"Install requests: pip install requests\")\n    sys.exit(1)\n\n\nclass OTVulnerabilityScanner:\n    \"\"\"Safe OT vulnerability scanning orchestrator.\"\"\"\n\n    SCAN_SAFETY_LEVELS = {\n        \"passive\": {\n            \"description\": \"Observe network traffic only, zero risk to devices\",\n            \"risk_level\": \"NONE\",\n            \"methods\": [\"traffic_fingerprinting\", \"protocol_analysis\", \"version_detection\"],\n            \"requires_window\": False,\n        },\n        \"native_query\": {\n            \"description\": \"Query devices using native industrial protocols\",\n            \"risk_level\": \"MINIMAL\",\n            \"methods\": [\"modbus_device_id\", \"s7_szl_read\", \"cip_identity\", \"bacnet_whois\"],\n            \"requires_window\": True,\n        },\n        \"controlled_active\": {\n            \"description\": \"Standard vulnerability checks with OT-safe profiles\",\n            \"risk_level\": \"LOW-MODERATE\",\n            \"methods\": [\"credentialed_scan\", \"banner_grab\", \"service_detection\"],\n            \"requires_window\": True,\n        },\n    }\n\n    def __init__(self, tenable_url: str, api_key: str, verify_ssl: bool = True):\n        self.tenable_url = tenable_url.rstrip(\"\u002F\")\n        self.session = requests.Session()\n        self.session.headers.update({\n            \"X-ApiKeys\": f\"accessKey={api_key}\",\n            \"Content-Type\": \"application\u002Fjson\",\n        })\n        self.session.verify = verify_ssl\n        self.findings = []\n\n    def check_safety_prerequisites(self, scan_level: str, target_subnet: str) -> dict:\n        \"\"\"Verify safety prerequisites before scanning.\"\"\"\n        checks = {\n            \"scan_level\": scan_level,\n            \"target\": target_subnet,\n            \"safety_level\": self.SCAN_SAFETY_LEVELS[scan_level],\n            \"checks_passed\": [],\n            \"checks_failed\": [],\n            \"approved\": False,\n        }\n\n        prerequisites = [\n            {\n                \"name\": \"Lab validation complete\",\n                \"description\": \"Scan profile tested against each device type in lab environment\",\n                \"required_for\": [\"native_query\", \"controlled_active\"],\n            },\n            {\n                \"name\": \"Vendor warranty verified\",\n                \"description\": \"Scanning will not void vendor support agreements\",\n                \"required_for\": [\"native_query\", \"controlled_active\"],\n            },\n            {\n                \"name\": \"Change management approved\",\n                \"description\": \"Change ticket approved for scanning activity\",\n                \"required_for\": [\"native_query\", \"controlled_active\"],\n            },\n            {\n                \"name\": \"Maintenance window confirmed\",\n                \"description\": \"Operations team confirms acceptable scanning window\",\n                \"required_for\": [\"controlled_active\"],\n            },\n            {\n                \"name\": \"Rollback plan documented\",\n                \"description\": \"Procedure to stop scan and recover if device becomes unresponsive\",\n                \"required_for\": [\"controlled_active\"],\n            },\n            {\n                \"name\": \"SIS excluded from scope\",\n                \"description\": \"Safety Instrumented Systems are never actively scanned\",\n                \"required_for\": [\"passive\", \"native_query\", \"controlled_active\"],\n            },\n        ]\n\n        for prereq in prerequisites:\n            if scan_level in prereq[\"required_for\"]:\n                checks[\"checks_passed\"].append(prereq[\"name\"])\n\n        return checks\n\n    def run_passive_assessment(self, site_id: str):\n        \"\"\"Run passive vulnerability assessment using traffic analysis.\"\"\"\n        print(f\"[*] Running passive vulnerability assessment for site {site_id}\")\n        print(f\"[*] Safety Level: NONE - no packets sent to OT devices\")\n\n        try:\n            resp = self.session.get(\n                f\"{self.tenable_url}\u002Fapi\u002Fv1\u002Fassets\",\n                params={\"site_id\": site_id}\n            )\n            resp.raise_for_status()\n            assets = resp.json().get(\"assets\", [])\n\n            for asset in assets:\n                asset_id = asset.get(\"id\")\n                vuln_resp = self.session.get(\n                    f\"{self.tenable_url}\u002Fapi\u002Fv1\u002Fassets\u002F{asset_id}\u002Fvulnerabilities\"\n                )\n                if vuln_resp.status_code == 200:\n                    vulns = vuln_resp.json().get(\"vulnerabilities\", [])\n                    for vuln in vulns:\n                        self.findings.append({\n                            \"asset\": asset.get(\"name\", \"Unknown\"),\n                            \"ip\": asset.get(\"ip_address\", \"\"),\n                            \"type\": asset.get(\"type\", \"\"),\n                            \"vendor\": asset.get(\"vendor\", \"\"),\n                            \"cve\": vuln.get(\"cve_id\", \"\"),\n                            \"severity\": vuln.get(\"severity\", \"\"),\n                            \"cvss\": vuln.get(\"cvss_score\", 0),\n                            \"description\": vuln.get(\"description\", \"\"),\n                            \"detection_method\": \"passive\",\n                            \"remediation\": vuln.get(\"remediation\", \"\"),\n                        })\n\n            print(f\"[+] Passive assessment complete: {len(self.findings)} vulnerabilities found\")\n        except requests.RequestException as e:\n            print(f\"[!] API error: {e}\")\n\n    def generate_prioritized_report(self, output_file: str):\n        \"\"\"Generate risk-prioritized vulnerability report for OT environment.\"\"\"\n        self.findings.sort(key=lambda x: x.get(\"cvss\", 0), reverse=True)\n\n        print(f\"\\n{'='*70}\")\n        print(\"OT VULNERABILITY ASSESSMENT REPORT\")\n        print(f\"{'='*70}\")\n        print(f\"Date: {datetime.now().isoformat()}\")\n        print(f\"Total Findings: {len(self.findings)}\")\n\n        severity_counts = {}\n        for f in self.findings:\n            sev = f.get(\"severity\", \"Unknown\")\n            severity_counts[sev] = severity_counts.get(sev, 0) + 1\n\n        print(f\"\\nSeverity Distribution:\")\n        for sev in [\"Critical\", \"High\", \"Medium\", \"Low\"]:\n            print(f\"  {sev}: {severity_counts.get(sev, 0)}\")\n\n        # Risk-based prioritization considering OT context\n        print(f\"\\n--- RISK-PRIORITIZED FINDINGS ---\")\n        print(f\"(Prioritized by CVSS score and OT impact)\")\n        for i, finding in enumerate(self.findings[:20], 1):\n            print(f\"\\n  {i}. [{finding['severity']}] {finding['cve']}\")\n            print(f\"     Asset: {finding['asset']} ({finding['ip']})\")\n            print(f\"     Vendor: {finding['vendor']} | Type: {finding['type']}\")\n            print(f\"     CVSS: {finding['cvss']}\")\n            print(f\"     Detection: {finding['detection_method']}\")\n            print(f\"     Description: {finding['description'][:100]}\")\n            if finding.get(\"remediation\"):\n                print(f\"     Remediation: {finding['remediation'][:100]}\")\n\n        # Export to CSV\n        if output_file:\n            with open(output_file, \"w\", newline=\"\") as f:\n                writer = csv.DictWriter(f, fieldnames=self.findings[0].keys())\n                writer.writeheader()\n                writer.writerows(self.findings)\n            print(f\"\\n[+] Report exported to {output_file}\")\n\n\nif __name__ == \"__main__\":\n    scanner = OTVulnerabilityScanner(\n        tenable_url=\"https:\u002F\u002Ftenable-ot.plant.local\",\n        api_key=\"your-api-key-here\",\n        verify_ssl=True,\n    )\n\n    # Always start with passive assessment\n    safety_check = scanner.check_safety_prerequisites(\"passive\", \"10.10.0.0\u002F16\")\n    print(f\"Safety prerequisites: {json.dumps(safety_check, indent=2)}\")\n\n    scanner.run_passive_assessment(site_id=\"plant-01\")\n    scanner.generate_prioritized_report(\"ot_vulnerabilities.csv\")\n```\n\n## Key Concepts\n\n| Term | Definition |\n|------|------------|\n| Passive Vulnerability Detection | Identifying vulnerabilities by analyzing mirrored traffic without sending any packets to OT devices |\n| Native Protocol Query | Using industrial protocols (Modbus FC43, S7 SZL Read, CIP Get Attribute) to safely extract device information |\n| OT-Safe Scan Profile | Vulnerability scanner configuration designed and lab-tested to avoid crashing industrial controllers |\n| Compensating Control | Alternative security measure protecting an unpatched OT asset (firewall DPI, network isolation) |\n| CVSS in OT Context | Standard CVSS scores adjusted for OT impact considering safety, availability, and physical consequences |\n| Tenable OT Security | Purpose-built OT vulnerability management platform using passive and native protocol-based detection |\n\n## Output Format\n\n```\nOT VULNERABILITY ASSESSMENT REPORT\n=====================================\nDate: YYYY-MM-DD\nScope: [network segments]\nMethod: [Passive\u002FNative Query\u002FControlled Active]\n\nVULNERABILITY SUMMARY:\n  Critical: [count]\n  High: [count]\n  Medium: [count]\n  Low: [count]\n\nTOP RISK FINDINGS:\n  1. [CVE] - [CVSS] - [Asset] - [Description]\n\nUNPATACHABLE ASSETS REQUIRING COMPENSATING CONTROLS:\n  [Asset] - [Reason] - [Recommended Control]\n\nPATCH PRIORITIZATION:\n  Immediate: [list]\n  Next Window: [list]\n  Acceptable Risk: [list with justification]\n```\n","# Performing OT Vulnerability Scanning Safely\n\n## When to Use\n\n- When conducting vulnerability assessments in OT environments with legacy controllers\n- When implementing continuous vulnerability monitoring without impacting process availability\n- When preparing for IEC 62443 or NERC CIP compliance audits requiring vulnerability data\n- When evaluating risk-based patching priorities for OT assets\n- When validating that compensating controls protect unpatched ICS devices\n\n**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).\n\n## Prerequisites\n\n- Tenable OT Security (formerly Tenable.ot\u002FIndegy) or equivalent OT-safe scanning platform\n- Passive monitoring sensor deployed on SPAN\u002FTAP at OT network segments\n- Lab-tested scanning profiles verified against each device type before production use\n- Change management approval and maintenance window for any active scanning\n- Vendor warranty verification to confirm scanning will not void support agreements\n\n## Workflow\n\n### Step 1: Deploy Passive Vulnerability Detection\n\nPassive monitoring identifies vulnerabilities without sending any packets to OT devices.\n\n```python\n#!\u002Fusr\u002Fbin\u002Fenv python3\n\"\"\"OT Safe Vulnerability Scanner Orchestrator.\n\nCoordinates passive monitoring, native protocol queries, and carefully\ncontrolled active scanning for OT vulnerability assessment without\ndisrupting industrial operations.\n\"\"\"\n\nimport json\nimport csv\nimport sys\nfrom datetime import datetime\nfrom typing import Dict, List, Optional\n\ntry:\n    import requests\nexcept ImportError:\n    print(\"Install requests: pip install requests\")\n    sys.exit(1)\n\n\nclass OTVulnerabilityScanner:\n    \"\"\"Safe OT vulnerability scanning orchestrator.\"\"\"\n\n    SCAN_SAFETY_LEVELS = {\n        \"passive\": {\n            \"description\": \"Observe network traffic only, zero risk to devices\",\n            \"risk_level\": \"NONE\",\n            \"methods\": [\"traffic_fingerprinting\", \"protocol_analysis\", \"version_detection\"],\n            \"requires_window\": False,\n        },\n        \"native_query\": {\n            \"description\": \"Query devices using native industrial protocols\",\n            \"risk_level\": \"MINIMAL\",\n            \"methods\": [\"modbus_device_id\", \"s7_szl_read\", \"cip_identity\", \"bacnet_whois\"],\n            \"requires_window\": True,\n        },\n        \"controlled_active\": {\n            \"description\": \"Standard vulnerability checks with OT-safe profiles\",\n            \"risk_level\": \"LOW-MODERATE\",\n            \"methods\": [\"credentialed_scan\", \"banner_grab\", \"service_detection\"],\n            \"requires_window\": True,\n        },\n    }\n\n    def __init__(self, tenable_url: str, api_key: str, verify_ssl: bool = True):\n        self.tenable_url = tenable_url.rstrip(\"\u002F\")\n        self.session = requests.Session()\n        self.session.headers.update({\n            \"X-ApiKeys\": f\"accessKey={api_key}\",\n            \"Content-Type\": \"application\u002Fjson\",\n        })\n        self.session.verify = verify_ssl\n        self.findings = []\n\n    def check_safety_prerequisites(self, scan_level: str, target_subnet: str) -> dict:\n        \"\"\"Verify safety prerequisites before scanning.\"\"\"\n        checks = {\n            \"scan_level\": scan_level,\n            \"target\": target_subnet,\n            \"safety_level\": self.SCAN_SAFETY_LEVELS[scan_level],\n            \"checks_passed\": [],\n            \"checks_failed\": [],\n            \"approved\": False,\n        }\n\n        prerequisites = [\n            {\n                \"name\": \"Lab validation complete\",\n                \"description\": \"Scan profile tested against each device type in lab environment\",\n                \"required_for\": [\"native_query\", \"controlled_active\"],\n            },\n            {\n                \"name\": \"Vendor warranty verified\",\n                \"description\": \"Scanning will not void vendor support agreements\",\n                \"required_for\": [\"native_query\", \"controlled_active\"],\n            },\n            {\n                \"name\": \"Change management approved\",\n                \"description\": \"Change ticket approved for scanning activity\",\n                \"required_for\": [\"native_query\", \"controlled_active\"],\n            },\n            {\n                \"name\": \"Maintenance window confirmed\",\n                \"description\": \"Operations team confirms acceptable scanning window\",\n                \"required_for\": [\"controlled_active\"],\n            },\n            {\n                \"name\": \"Rollback plan documented\",\n                \"description\": \"Procedure to stop scan and recover if device becomes unresponsive\",\n                \"required_for\": [\"controlled_active\"],\n            },\n            {\n                \"name\": \"SIS excluded from scope\",\n                \"description\": \"Safety Instrumented Systems are never actively scanned\",\n                \"required_for\": [\"passive\", \"native_query\", \"controlled_active\"],\n            },\n        ]\n\n        for prereq in prerequisites:\n            if scan_level in prereq[\"required_for\"]:\n                checks[\"checks_passed\"].append(prereq[\"name\"])\n\n        return checks\n\n    def run_passive_assessment(self, site_id: str):\n        \"\"\"Run passive vulnerability assessment using traffic analysis.\"\"\"\n        print(f\"[*] Running passive vulnerability assessment for site {site_id}\")\n        print(f\"[*] Safety Level: NONE - no packets sent to OT devices\")\n\n        try:\n            resp = self.session.get(\n                f\"{self.tenable_url}\u002Fapi\u002Fv1\u002Fassets\",\n                params={\"site_id\": site_id}\n            )\n            resp.raise_for_status()\n            assets = resp.json().get(\"assets\", [])\n\n            for asset in assets:\n                asset_id = asset.get(\"id\")\n                vuln_resp = self.session.get(\n                    f\"{self.tenable_url}\u002Fapi\u002Fv1\u002Fassets\u002F{asset_id}\u002Fvulnerabilities\"\n                )\n                if vuln_resp.status_code == 200:\n                    vulns = vuln_resp.json().get(\"vulnerabilities\", [])\n                    for vuln in vulns:\n                        self.findings.append({\n                            \"asset\": asset.get(\"name\", \"Unknown\"),\n                            \"ip\": asset.get(\"ip_address\", \"\"),\n                            \"type\": asset.get(\"type\", \"\"),\n                            \"vendor\": asset.get(\"vendor\", \"\"),\n                            \"cve\": vuln.get(\"cve_id\", \"\"),\n                            \"severity\": vuln.get(\"severity\", \"\"),\n                            \"cvss\": vuln.get(\"cvss_score\", 0),\n                            \"description\": vuln.get(\"description\", \"\"),\n                            \"detection_method\": \"passive\",\n                            \"remediation\": vuln.get(\"remediation\", \"\"),\n                        })\n\n            print(f\"[+] Passive assessment complete: {len(self.findings)} vulnerabilities found\")\n        except requests.RequestException as e:\n            print(f\"[!] API error: {e}\")\n\n    def generate_prioritized_report(self, output_file: str):\n        \"\"\"Generate risk-prioritized vulnerability report for OT environment.\"\"\"\n        self.findings.sort(key=lambda x: x.get(\"cvss\", 0), reverse=True)\n\n        print(f\"\\n{'='*70}\")\n        print(\"OT VULNERABILITY ASSESSMENT REPORT\")\n        print(f\"{'='*70}\")\n        print(f\"Date: {datetime.now().isoformat()}\")\n        print(f\"Total Findings: {len(self.findings)}\")\n\n        severity_counts = {}\n        for f in self.findings:\n            sev = f.get(\"severity\", \"Unknown\")\n            severity_counts[sev] = severity_counts.get(sev, 0) + 1\n\n        print(f\"\\nSeverity Distribution:\")\n        for sev in [\"Critical\", \"High\", \"Medium\", \"Low\"]:\n            print(f\"  {sev}: {severity_counts.get(sev, 0)}\")\n\n        # Risk-based prioritization considering OT context\n        print(f\"\\n--- RISK-PRIORITIZED FINDINGS ---\")\n        print(f\"(Prioritized by CVSS score and OT impact)\")\n        for i, finding in enumerate(self.findings[:20], 1):\n            print(f\"\\n  {i}. [{finding['severity']}] {finding['cve']}\")\n            print(f\"     Asset: {finding['asset']} ({finding['ip']})\")\n            print(f\"     Vendor: {finding['vendor']} | Type: {finding['type']}\")\n            print(f\"     CVSS: {finding['cvss']}\")\n            print(f\"     Detection: {finding['detection_method']}\")\n            print(f\"     Description: {finding['description'][:100]}\")\n            if finding.get(\"remediation\"):\n                print(f\"     Remediation: {finding['remediation'][:100]}\")\n\n        # Export to CSV\n        if output_file:\n            with open(output_file, \"w\", newline=\"\") as f:\n                writer = csv.DictWriter(f, fieldnames=self.findings[0].keys())\n                writer.writeheader()\n                writer.writerows(self.findings)\n            print(f\"\\n[+] Report exported to {output_file}\")\n\n\nif __name__ == \"__main__\":\n    scanner = OTVulnerabilityScanner(\n        tenable_url=\"https:\u002F\u002Ftenable-ot.plant.local\",\n        api_key=\"your-api-key-here\",\n        verify_ssl=True,\n    )\n\n    # Always start with passive assessment\n    safety_check = scanner.check_safety_prerequisites(\"passive\", \"10.10.0.0\u002F16\")\n    print(f\"Safety prerequisites: {json.dumps(safety_check, indent=2)}\")\n\n    scanner.run_passive_assessment(site_id=\"plant-01\")\n    scanner.generate_prioritized_report(\"ot_vulnerabilities.csv\")\n```\n\n## Key Concepts\n\n| Term | Definition |\n|------|------------|\n| Passive Vulnerability Detection | Identifying vulnerabilities by analyzing mirrored traffic without sending any packets to OT devices |\n| Native Protocol Query | Using industrial protocols (Modbus FC43, S7 SZL Read, CIP Get Attribute) to safely extract device information |\n| OT-Safe Scan Profile | Vulnerability scanner configuration designed and lab-tested to avoid crashing industrial controllers |\n| Compensating Control | Alternative security measure protecting an unpatched OT asset (firewall DPI, network isolation) |\n| CVSS in OT Context | Standard CVSS scores adjusted for OT impact considering safety, availability, and physical consequences |\n| Tenable OT Security | Purpose-built OT vulnerability management platform using passive and native protocol-based detection |\n\n## Output Format\n\n```\nOT VULNERABILITY ASSESSMENT REPORT\n=====================================\nDate: YYYY-MM-DD\nScope: [network segments]\nMethod: [Passive\u002FNative Query\u002FControlled Active]\n\nVULNERABILITY SUMMARY:\n  Critical: [count]\n  High: [count]\n  Medium: [count]\n  Low: [count]\n\nTOP RISK FINDINGS:\n  1. [CVE] - [CVSS] - [Asset] - [Description]\n\nUNPATACHABLE ASSETS REQUIRING COMPENSATING CONTROLS:\n  [Asset] - [Reason] - [Recommended Control]\n\nPATCH PRIORITIZATION:\n  Immediate: [list]\n  Next Window: [list]\n  Acceptable Risk: [list with justification]\n```\n",{"name":5,"tags":25,"author":34,"domain":35,"source":36,"license":15,"version":37,"nist_csf":38,"subdomain":43,"description":44,"mitre_attack":45,"source_commit":51},[26,27,28,29,30,31,32,33],"ot-security","ics","vulnerability-scanning","tenable","nessus","passive-scanning","risk-management","nist","mahipal","cybersecurity","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills","1.0",[39,40,41,42],"PR.IR-01","DE.CM-01","ID.AM-05","GV.OC-02","ot-ics-security","Perform vulnerability scanning in OT\u002FICS 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.\n",[46,47,48,49,50],"T1078","T1190","T1059","T1046","T0816","04450304b12645cb2b974ab96d28c0664758a88d","main","481dcd7dd2e288b9d627a2bd017db70e64e6c6fa","core\u002Fskills\u002Fperforming-ot-vulnerability-scanning-safely",2,"https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI","https:\u002F\u002Fyana.vutam.link\u002F","https:\u002F\u002Fgithub.com\u002FHoronomos-laps","https:\u002F\u002Fyana.vutam.link","An open-source governed runtime & execution environment for multi-agent AI systems.","2026-11-14 13:24:09",{"source":8,"skillName":5,"commands":63,"prompt":73,"zipAvailable":74},[64,67,70],{"tool":65,"command":66},"npx","npx skills add Horonomos-laps\u002FYana-AI --skill performing-ot-vulnerability-scanning-safely",{"tool":68,"command":69},"bunx","bunx skills add Horonomos-laps\u002FYana-AI --skill performing-ot-vulnerability-scanning-safely",{"tool":71,"command":72},"pnpm","pnpm dlx skills add Horonomos-laps\u002FYana-AI --skill performing-ot-vulnerability-scanning-safely","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fperforming-ot-vulnerability-scanning-safely\u002FSKILL.md",true,[76,80,86],{"path":77,"resourceType":77,"resourceTypeDesc":78,"sizeBytes":79,"sourceHtmlUrl":16},"LICENSE","许可证",11255,{"path":81,"resourceType":82,"resourceTypeDesc":83,"sizeBytes":84,"sourceHtmlUrl":85},"references\u002Fapi-reference.md","REFERENCE","参考文档",1573,"https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fperforming-ot-vulnerability-scanning-safely\u002Freferences\u002Fapi-reference.md",{"path":87,"resourceType":88,"resourceTypeDesc":89,"sizeBytes":90,"sourceHtmlUrl":91},"scripts\u002Fagent.py","SCRIPT","脚本",7898,"https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fperforming-ot-vulnerability-scanning-safely\u002Fscripts\u002Fagent.py",[93,101,108,116,124,132],{"skillNo":94,"name":95,"nameZh":6,"description":96,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":97,"licenseFileUrl":6,"sourceHtmlUrl":98,"categories":99,"keywords":100,"publishedAt":20},"01M735GKET5YVYKAY62W2P5YXB","openai--sentry--sentry","Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`.","MIT","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fopenai--sentry--sentry\u002FSKILL.md",[],[],{"skillNo":102,"name":103,"nameZh":6,"description":104,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":105,"categories":106,"keywords":107,"publishedAt":20},"01M73DCAP83T17HY7SMGK7MGFE","ito-basket-compare","Compare Itô prediction-market baskets against a user's knowledge base, portfolio notes, financial context, watchlist, or research thesis. Use for read-only basket comparison and gap analysis without investment advice or live trading.","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fito-basket-compare\u002FSKILL.md",[],[],{"skillNo":109,"name":110,"nameZh":6,"description":111,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":112,"sourceHtmlUrl":113,"categories":114,"keywords":115,"publishedAt":20},"01M734CYEMZFDR3KH6SW0JP8TD","implementing-network-traffic-baselining","Build network traffic baselines from NetFlow\u002FIPFIX data using Python pandas for statistical analysis, z-score anomaly detection, and hourly\u002Fdaily traffic pattern profiling","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-network-traffic-baselining\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-network-traffic-baselining\u002FSKILL.md",[],[],{"skillNo":117,"name":118,"nameZh":6,"description":119,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":120,"sourceHtmlUrl":121,"categories":122,"keywords":123,"publishedAt":20},"01M73ASZ6NJRJM44Z2P84NGQ3Q","detecting-evasion-techniques-in-endpoint-logs","Detects defense evasion techniques used by adversaries in endpoint logs including log tampering, timestomping, process injection, and security tool disabling. Use when investigating suspicious endpoint behavior, building detection rules for evasion tactics, or conducting threat hunting for stealthy adversary activity. Activates for requests involving evasion detection, defense evasion analysis, log tampering detection, or MITRE ATT&CK TA0005.","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fdetecting-evasion-techniques-in-endpoint-logs\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fdetecting-evasion-techniques-in-endpoint-logs\u002FSKILL.md",[],[],{"skillNo":125,"name":126,"nameZh":6,"description":127,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":128,"sourceHtmlUrl":129,"categories":130,"keywords":131,"publishedAt":20},"01M734AFNXD06Z78QRK0VKGT7Q","implementing-microsegmentation-with-guardicore","Implementing microsegmentation using Akamai Guardicore Segmentation to map application dependencies, create granular network policies, visualize east-west traffic flows, and enforce least-privilege communication between workloads across data centers and cloud.","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-microsegmentation-with-guardicore\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-microsegmentation-with-guardicore\u002FSKILL.md",[],[],{"skillNo":133,"name":134,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":135,"categories":136,"keywords":137,"publishedAt":20},"01M736TK27QMCXK0DVCH25SJN5","ramdisk-tmpfs-patterns","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Framdisk-tmpfs-patterns\u002FSKILL.md",[],[]]