--- name: performing-ics-asset-discovery-with-claroty-fc8b0fd7f924 description: 'Performs ICS/OT asset discovery with Claroty xDome, combining passive monitoring and Claroty Edge active queries to inventory PLCs, RTUs, HMIs, and network infrastructure across Purdue Model levels. Use when gaining visibility into an undocumented OT environment, preparing an IEC 62443 asset inventory, or onboarding Claroty xDome; not for IT-only discovery. ' domain: cybersecurity subdomain: ot-ics-security tags: - ot-security - ics - asset-discovery - claroty - xdome - scada - network-visibility - iec62443 version: '1.0' author: mahipal license: Apache-2.0 nist_ai_rmf: - MEASURE-2.7 - MAP-5.1 - MANAGE-2.4 atlas_techniques: - AML.T0070 - AML.T0066 - AML.T0082 nist_csf: - PR.IR-01 - DE.CM-01 - ID.AM-05 - GV.OC-02 mitre_attack: - T1078 - T1190 - T1059 - T0816 - T0836 --- # Performing ICS Asset Discovery with Claroty ## When to Use - When gaining initial visibility into an OT environment with unknown or poorly documented assets - When preparing for an IEC 62443 risk assessment requiring a complete asset inventory - When onboarding Claroty xDome into a brownfield industrial environment - When validating existing asset inventory against actual network communications - When identifying shadow OT devices or unauthorized connections in the control network **Do not use** for IT-only asset discovery (use tools like Nessus or Qualys), for active scanning of sensitive PLC networks without vendor approval, or for environments where Claroty is not the deployed platform (see implementing-ot-network-traffic-analysis-with-nozomi). ## Prerequisites - Claroty xDome SaaS subscription or on-premises deployment - Network TAP or SPAN port configured at OT network boundaries (Levels 1-3 of Purdue Model) - Claroty Edge collector deployed for safe active querying of hard-to-reach network segments - Integration credentials for CMDB tools (ServiceNow, BMC) if used - Network architecture diagram showing VLANs, switches, and firewall zones ## Workflow ### Step 1: Configure Passive Network Monitoring Deploy Claroty sensors on SPAN ports to passively observe all OT network traffic without impacting operations. ```python #!/usr/bin/env python3 """Claroty xDome Asset Discovery Configuration and Reporting Tool. Automates the configuration of passive monitoring sensors and generates asset inventory reports from Claroty xDome API. """ import json import sys import csv from datetime import datetime from typing import Optional try: import requests except ImportError: print("Install requests: pip install requests") sys.exit(1) class ClarotyAssetDiscovery: """Interface with Claroty xDome API for ICS asset discovery.""" def __init__(self, base_url: str, api_token: str, verify_ssl: bool = True): self.base_url = base_url.rstrip("/") self.session = requests.Session() self.session.headers.update({ "Authorization": f"Bearer {api_token}", "Content-Type": "application/json", "Accept": "application/json", }) self.session.verify = verify_ssl def get_sites(self): """Retrieve all monitored sites.""" resp = self.session.get(f"{self.base_url}/api/v1/sites") resp.raise_for_status() return resp.json().get("sites", []) def get_assets(self, site_id: Optional[str] = None, asset_type: Optional[str] = None): """Retrieve discovered assets with optional filtering. asset_type: PLC, RTU, HMI, DCS, Engineering_Workstation, Historian, Network_Device, IO_Module, Safety_Controller """ params = {} if site_id: params["site_id"] = site_id if asset_type: params["type"] = asset_type resp = self.session.get(f"{self.base_url}/api/v1/assets", params=params) resp.raise_for_status() return resp.json().get("assets", []) def get_asset_detail(self, asset_id: str): """Retrieve detailed asset information including firmware, modules, and CVEs.""" resp = self.session.get(f"{self.base_url}/api/v1/assets/{asset_id}") resp.raise_for_status() return resp.json() def get_communication_map(self, site_id: str): """Retrieve communication relationships between assets.""" resp = self.session.get( f"{self.base_url}/api/v1/sites/{site_id}/communications" ) resp.raise_for_status() return resp.json().get("communications", []) def get_vulnerabilities(self, site_id: Optional[str] = None, severity: str = "critical"): """Retrieve vulnerabilities for discovered assets.""" params = {"min_severity": severity} if site_id: params["site_id"] = site_id resp = self.session.get(f"{self.base_url}/api/v1/vulnerabilities", params=params) resp.raise_for_status() return resp.json().get("vulnerabilities", []) def export_asset_inventory(self, output_file: str, site_id: Optional[str] = None): """Export full asset inventory to CSV for compliance reporting.""" assets = self.get_assets(site_id=site_id) if not assets: print("[!] No assets found") return fieldnames = [ "asset_id", "name", "type", "vendor", "model", "firmware_version", "ip_address", "mac_address", "serial_number", "purdue_level", "zone", "protocol", "first_seen", "last_seen", "risk_score", "cve_count", "site_name", ] with open(output_file, "w", newline="") as f: writer = csv.DictWriter(f, fieldnames=fieldnames) writer.writeheader() for asset in assets: writer.writerow({ "asset_id": asset.get("id", ""), "name": asset.get("name", "Unknown"), "type": asset.get("type", ""), "vendor": asset.get("vendor", ""), "model": asset.get("model", ""), "firmware_version": asset.get("firmware_version", ""), "ip_address": asset.get("ip_address", ""), "mac_address": asset.get("mac_address", ""), "serial_number": asset.get("serial_number", ""), "purdue_level": asset.get("purdue_level", ""), "zone": asset.get("zone", ""), "protocol": ", ".join(asset.get("protocols", [])), "first_seen": asset.get("first_seen", ""), "last_seen": asset.get("last_seen", ""), "risk_score": asset.get("risk_score", 0), "cve_count": asset.get("cve_count", 0), "site_name": asset.get("site_name", ""), }) print(f"[+] Exported {len(assets)} assets to {output_file}") def generate_purdue_level_report(self, site_id: str): """Generate asset distribution report by Purdue Model level.""" assets = self.get_assets(site_id=site_id) levels = {0: [], 1: [], 2: [], 3: [], 3.5: [], 4: [], 5: []} for asset in assets: level = asset.get("purdue_level", -1) if level in levels: levels[level].append(asset) print(f"\n{'='*65}") print("PURDUE MODEL ASSET DISTRIBUTION REPORT") print(f"{'='*65}") print(f"Site: {site_id}") print(f"Total Assets Discovered: {len(assets)}") print(f"Report Generated: {datetime.now().isoformat()}") print(f"{'-'*65}") level_names = { 0: "Level 0 - Physical Process (Sensors/Actuators)", 1: "Level 1 - Basic Control (PLCs/RTUs)", 2: "Level 2 - Supervisory Control (HMI/SCADA)", 3: "Level 3 - Site Operations (Historian/MES)", 3.5: "Level 3.5 - IT/OT DMZ", 4: "Level 4 - Enterprise IT", 5: "Level 5 - Enterprise Network/Internet", } for level, name in level_names.items(): device_list = levels.get(level, []) print(f"\n {name}") print(f" Count: {len(device_list)}") if device_list: vendors = set(a.get("vendor", "Unknown") for a in device_list) types = set(a.get("type", "Unknown") for a in device_list) print(f" Vendors: {', '.join(vendors)}") print(f" Types: {', '.join(types)}") high_risk = [a for a in device_list if a.get("risk_score", 0) >= 7] if high_risk: print(f" High-Risk Assets: {len(high_risk)}") for a in high_risk[:5]: print(f" - {a['name']} (Risk: {a.get('risk_score')})") if __name__ == "__main__": discovery = ClarotyAssetDiscovery( base_url="https://your-claroty-instance.claroty.cloud", api_token="your-api-token-here", verify_ssl=True, ) print("[*] Fetching sites...") sites = discovery.get_sites() for site in sites: print(f" Site: {site['name']} (ID: {site['id']})") if sites: site_id = sites[0]["id"] print(f"\n[*] Generating Purdue level report for {sites[0]['name']}...") discovery.generate_purdue_level_report(site_id) print(f"\n[*] Exporting asset inventory...") discovery.export_asset_inventory( f"asset_inventory_{datetime.now().strftime('%Y%m%d')}.csv", site_id=site_id, ) print(f"\n[*] Checking critical vulnerabilities...") vulns = discovery.get_vulnerabilities(site_id=site_id, severity="critical") print(f" Critical vulnerabilities: {len(vulns)}") for v in vulns[:10]: print(f" - {v.get('cve_id')}: {v.get('description', '')[:80]}") ``` ### Step 2: Configure Active Discovery with Claroty Edge Claroty Edge performs safe, targeted queries of OT devices using native industrial protocols (not IT scanning) to extract detailed asset information from devices that passive monitoring alone cannot fully identify. ```yaml # Claroty Edge Active Discovery Configuration # Safe active queries using native industrial protocols edge_configuration: deployment_mode: "on-premises" collection_schedule: frequency: "weekly" maintenance_window: "Sunday 02:00-06:00" max_concurrent_queries: 5 protocol_queries: siemens_s7: enabled: true target_subnets: ["10.10.1.0/24", "10.10.2.0/24"] ports: [102] query_type: "SZL_read" information_collected: - "Module identification" - "Firmware version" - "Hardware configuration" - "Protection level" rockwell_cip: enabled: true target_subnets: ["10.10.3.0/24"] ports: [44818] query_type: "CIP_identity" information_collected: - "Product name and revision" - "Serial number" - "Device type" - "Vendor ID" modbus: enabled: true target_subnets: ["10.10.4.0/24"] ports: [502] query_type: "read_device_identification" function_code: 43 information_collected: - "Vendor name" - "Product code" - "Firmware revision" bacnet: enabled: true target_subnets: ["10.10.5.0/24"] ports: [47808] query_type: "who_is" information_collected: - "Device name" - "Vendor identifier" - "Model name" - "Application software version" safety_controls: excluded_subnets: ["10.10.100.0/24"] # SIS network - never active scan rate_limiting: true max_packets_per_second: 10 timeout_seconds: 5 retry_count: 1 abort_on_device_error: true ``` ### Step 3: Validate and Enrich Asset Data Cross-reference discovered assets against known inventories and enrich with vulnerability data. ```python #!/usr/bin/env python3 """Asset Validation and Enrichment Tool. Cross-references Claroty discovery results against existing CMDB and enriches with NVD vulnerability data. """ import json import csv import sys from datetime import datetime try: import requests except ImportError: print("Install requests: pip install requests") sys.exit(1) class AssetValidator: """Validates and enriches OT asset inventory.""" def __init__(self, inventory_file: str): self.discovered_assets = [] self.load_inventory(inventory_file) self.discrepancies = [] def load_inventory(self, filepath: str): """Load Claroty-discovered asset inventory.""" with open(filepath, "r") as f: reader = csv.DictReader(f) self.discovered_assets = list(reader) print(f"[*] Loaded {len(self.discovered_assets)} discovered assets") def compare_with_cmdb(self, cmdb_file: str): """Compare discovered assets against CMDB records.""" with open(cmdb_file, "r") as f: cmdb_assets = {row["ip_address"]: row for row in csv.DictReader(f)} discovered_ips = {a["ip_address"] for a in self.discovered_assets if a["ip_address"]} cmdb_ips = set(cmdb_assets.keys()) shadow_devices = discovered_ips - cmdb_ips missing_devices = cmdb_ips - discovered_ips print(f"\n{'='*60}") print("ASSET INVENTORY VALIDATION REPORT") print(f"{'='*60}") print(f"Discovered assets: {len(discovered_ips)}") print(f"CMDB records: {len(cmdb_ips)}") print(f"Shadow OT devices (not in CMDB): {len(shadow_devices)}") print(f"Missing devices (in CMDB, not seen): {len(missing_devices)}") if shadow_devices: print(f"\n SHADOW DEVICES (Unauthorized/Undocumented):") for ip in sorted(shadow_devices): asset = next((a for a in self.discovered_assets if a["ip_address"] == ip), {}) print(f" - {ip} | {asset.get('vendor', 'Unknown')} {asset.get('model', '')} | Type: {asset.get('type', 'Unknown')}") self.discrepancies.append({ "type": "SHADOW_DEVICE", "severity": "HIGH", "ip": ip, "detail": f"Undocumented {asset.get('type', 'device')} from {asset.get('vendor', 'unknown vendor')}", }) if missing_devices: print(f"\n MISSING DEVICES (Expected but not seen):") for ip in sorted(missing_devices): cmdb = cmdb_assets[ip] print(f" - {ip} | {cmdb.get('name', 'Unknown')} | Last CMDB update: {cmdb.get('last_updated', 'N/A')}") self.discrepancies.append({ "type": "MISSING_DEVICE", "severity": "MEDIUM", "ip": ip, "detail": f"CMDB asset {cmdb.get('name', ip)} not seen on network", }) def check_firmware_vulnerabilities(self, asset): """Check NVD for known vulnerabilities matching asset firmware.""" vendor = asset.get("vendor", "").lower() model = asset.get("model", "").lower() firmware = asset.get("firmware_version", "") if not vendor or not model: return [] search_term = f"{vendor} {model}" try: resp = requests.get( "https://services.nvd.nist.gov/rest/json/cves/2.0", params={"keywordSearch": search_term, "resultsPerPage": 10}, timeout=15, ) if resp.status_code == 200: data = resp.json() return data.get("vulnerabilities", []) except requests.RequestException: pass return [] def generate_risk_summary(self): """Generate risk-prioritized summary of findings.""" print(f"\n{'='*60}") print("RISK SUMMARY") print(f"{'='*60}") high_risk = [a for a in self.discovered_assets if float(a.get("risk_score", 0)) >= 7] end_of_life = [a for a in self.discovered_assets if a.get("firmware_version", "").startswith("v1.")] no_encryption = [a for a in self.discovered_assets if "modbus" in a.get("protocol", "").lower()] print(f" High-risk assets (score >= 7): {len(high_risk)}") print(f" Potentially end-of-life firmware: {len(end_of_life)}") print(f" Assets using unencrypted protocols: {len(no_encryption)}") print(f" Inventory discrepancies: {len(self.discrepancies)}") if __name__ == "__main__": if len(sys.argv) < 2: print("Usage: python validate_assets.py [cmdb_export.csv]") sys.exit(1) validator = AssetValidator(sys.argv[1]) if len(sys.argv) >= 3: validator.compare_with_cmdb(sys.argv[2]) validator.generate_risk_summary() ``` ## Key Concepts | Term | Definition | |------|------------| | Passive Monitoring | Observing mirrored network traffic via SPAN/TAP without injecting packets, safe for all OT devices | | Active Querying | Sending native protocol requests to extract detailed device information; requires careful scheduling | | Claroty Edge | Claroty's safe active discovery collector that uses native industrial protocols rather than IT scanning | | Purdue Level | Hierarchical classification of industrial network assets from Level 0 (physical process) to Level 5 (enterprise) | | Shadow OT Device | Asset connected to the OT network that is not documented in the asset management system | | xDome | Claroty's SaaS-based cyber-physical systems protection platform providing visibility, risk management, and threat detection | ## Common Scenarios ### Scenario: Brownfield Factory Asset Discovery **Context**: A manufacturing plant with 20 years of equipment additions needs a complete OT asset inventory for an IEC 62443 risk assessment. No accurate asset records exist. **Approach**: 1. Deploy Claroty sensors on SPAN ports at each major network segment (control, supervisory, DMZ) 2. Allow passive monitoring for 2-4 weeks to capture all regular communication patterns 3. Schedule Claroty Edge active queries during a planned maintenance window 4. Export discovered inventory and categorize assets by Purdue level, vendor, and criticality 5. Cross-reference against any existing documentation (P&ID diagrams, network drawings) 6. Identify shadow devices and initiate a review process with plant operations 7. Feed validated inventory into IEC 62443 zone and conduit risk assessment **Pitfalls**: Do not rush active discovery before passive monitoring has captured baseline traffic patterns. Never use IT vulnerability scanners (Nessus active scans) directly against PLCs or RTUs -- this can crash legacy controllers. Always exclude Safety Instrumented Systems (SIS) from active queries. ## Output Format ``` ICS ASSET DISCOVERY REPORT ============================ Date: YYYY-MM-DD Platform: Claroty xDome Site: [Site Name] DISCOVERY SUMMARY: Total Assets Discovered: [count] New Assets (not in CMDB): [count] High-Risk Assets: [count] PURDUE LEVEL DISTRIBUTION: Level 0 (Process): [count] assets Level 1 (Control): [count] assets Level 2 (Supervisory): [count] assets Level 3 (Operations): [count] assets Level 3.5 (DMZ): [count] assets Level 4-5 (Enterprise): [count] assets TOP VENDORS: 1. [Vendor] - [count] devices 2. [Vendor] - [count] devices CRITICAL FINDINGS: - [Shadow device description] - [End-of-life firmware finding] - [Unencrypted protocol concern] ``` --- Source attribution: costrict-plugins-repo Original project: https://github.com/costrict-plugins-repo/mukul975-anthropic-cybersecurity-skills-cybersecurity-skills/blob/1b344d155f00bae5cf27d8eba9508e8f5050d904/skills/performing-ics-asset-discovery-with-claroty/SKILL.md License: Apache-2.0 License information: https://www.apache.org/licenses/LICENSE-2.0 Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. 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See the License for the specific language governing permissions and limitations under the License. # Mega AI Hub resource metadata Creator / publisher: costrict-plugins-repo Original project: https://github.com/costrict-plugins-repo/mukul975-anthropic-cybersecurity-skills-cybersecurity-skills/blob/1b344d155f00bae5cf27d8eba9508e8f5050d904/skills/performing-ics-asset-discovery-with-claroty/SKILL.md Attribution basis: Source repository record Fields of work: Development & Engineering Roles: Data Engineer, ML / AI Engineer, Security Engineer Specialties: API Tools: Claroty Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 2a06fd14c3588115dd39b6d769c8fa233130f75716f7ed81bd65d408a22c2713