{"id":"794a8497-7015-4f34-8a38-bd6b99ee5d9d","entityType":"agent","slug":"clawhub-ling-qian-threat-actor-osint","name":"Threat Actor OSINT Profiling","canonicalUrl":"https://www.xpersona.co/agent/clawhub-ling-qian-threat-actor-osint","canonicalPath":"/agent/clawhub-ling-qian-threat-actor-osint","generatedAt":"2026-10-11T14:16:18.263Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-11T10:39:52.977Z","emptyReason":null},"description":"Build comprehensive threat actor profiles using open-source intelligence (OSINT) techniques to document adversary motivations, capabilities, infrastructure,... Skill: Threat Actor OSINT Profiling Owner: ling-qian Summary: Build comprehensive threat actor profiles using open-source intelligence (OSINT) techniques to document adversary motivations, capabilities, infrastructure,... Tags: latest:1.0.0, osint:1.0.0, security:1.0.0, threat-actor:1.0.0 Version history: v1.0.0 | 2026-05-26T10:15:26.947Z | auto Initial release – build comprehensive threat actor profiles using OSINT.","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. 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ling-qian\n\nSummary: Build comprehensive threat actor profiles using open-source intelligence (OSINT) techniques to document adversary motivations, capabilities, infrastructure,...\n\nTags: latest:1.0.0, osint:1.0.0, security:1.0.0, threat-actor:1.0.0\n\nVersion history:\n\nv1.0.0 | 2026-05-26T10:15:26.947Z | auto\n\nInitial release – build comprehensive threat actor profiles using OSINT.\n\n- Gather intelligence from public sources including vendor reports, forums, and threat databases.\n- Integrate with tools such as Maltego and SpiderFoot for infrastructure mapping and link analysis.\n- Document threat actor motivations, capabilities, TTPs, and historical campaigns.\n- Map findings to MITRE ATT&CK and produce structured STIX 2.1 threat actor profiles.\n- Includes sample Python workflows utilizing AlienVault OTX, VirusTotal, and Shodan APIs.\n\nArchive index:\n\nArchive v1.0.0: 5 files, 10933 bytes\n\nFiles: references/api-reference.md (1839b), scripts/agent.py (6859b), skill-card.md (3239b), SKILL.md (14922b), _meta.json (137b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: building-threat-actor-profile-from-osint\ndescription: Build comprehensive threat actor profiles using open-source intelligence (OSINT) techniques to document adversary\n  motivations, capabilities, infrastructure, and TTPs for proactive defense.\ndomain: cybersecurity\nsubdomain: threat-intelligence\ntags:\n- osint\n- threat-actor\n- profiling\n- maltego\n- spiderfoot\n- attribution\n- threat-intelligence\n- reconnaissance\nversion: '1.0'\nauthor: mahipal\nlicense: Apache-2.0\nnist_csf:\n- ID.RA-01\n- ID.RA-05\n- DE.CM-01\n- DE.AE-02\n---\n# Building Threat Actor Profile from OSINT\n\n## Overview\n\nThreat actor profiling using OSINT systematically gathers and analyzes publicly available information to build comprehensive profiles of adversary groups. This skill covers collecting intelligence from public sources (security vendor reports, paste sites, dark web forums, social media, code repositories), correlating indicators across platforms, mapping adversary infrastructure using tools like Maltego and SpiderFoot, and producing structured threat actor dossiers that inform defensive strategies and attribution assessments.\n\n\n## When to Use\n\n- When deploying or configuring building threat actor profile from osint capabilities in your environment\n- When establishing security controls aligned to compliance requirements\n- When building or improving security architecture for this domain\n- When conducting security assessments that require this implementation\n\n## Prerequisites\n\n- Python 3.9+ with `shodan`, `requests`, `beautifulsoup4`, `maltego-trx`, `stix2` libraries\n- SpiderFoot (https://github.com/smicallef/spiderfoot) or SpiderFoot HX\n- Maltego CE or Maltego XL for link analysis\n- API keys: Shodan, VirusTotal, AlienVault OTX, PassiveTotal/RiskIQ\n- MITRE ATT&CK knowledge for TTP mapping\n- Understanding of STIX 2.1 Intrusion Set, Threat Actor, and Identity SDOs\n\n## Key Concepts\n\n### OSINT Sources for Threat Actor Profiling\n\nPrimary intelligence sources include vendor threat reports (Mandiant, CrowdStrike, Recorded Future, Talos), government advisories (CISA, NSA, FBI joint advisories), academic research papers, malware repositories (VirusTotal, MalwareBazaar, Malpedia), paste sites (Pastebin, GitHub Gists), code repositories, social media accounts, dark web forums, and certificate transparency logs.\n\n### Structured Analytical Techniques\n\nProfiling uses the Diamond Model (adversary, infrastructure, capability, victim), Analysis of Competing Hypotheses (ACH) for attribution confidence, and MITRE ATT&CK mapping for TTP documentation. Link analysis tools like Maltego visualize relationships between indicators, infrastructure, and actors.\n\n### Profile Components\n\nA complete threat actor profile includes: aliases and naming conventions across vendors, suspected origin and sponsorship, motivation (espionage, financial, hacktivism, disruption), targeted sectors and geographies, known campaigns and operations, TTPs mapped to ATT&CK, toolset and malware families, infrastructure patterns, and historical timeline.\n\n## Workflow\n\n### Step 1: Collect Intelligence from Multiple Sources\n\n```python\nimport requests\nimport json\nfrom datetime import datetime\n\nclass OSINTCollector:\n    def __init__(self, vt_key=None, otx_key=None, shodan_key=None):\n        self.vt_key = vt_key\n        self.otx_key = otx_key\n        self.shodan_key = shodan_key\n        self.collected_data = {\"sources\": [], \"indicators\": [], \"reports\": []}\n\n    def search_alienvault_otx(self, actor_name):\n        \"\"\"Search AlienVault OTX for threat actor pulses.\"\"\"\n        headers = {\"X-OTX-API-KEY\": self.otx_key}\n        url = f\"https://otx.alienvault.com/api/v1/search/pulses?q={actor_name}&limit=20\"\n        resp = requests.get(url, headers=headers)\n        if resp.status_code == 200:\n            data = resp.json()\n            pulses = data.get(\"results\", [])\n            for pulse in pulses:\n                self.collected_data[\"reports\"].append({\n                    \"source\": \"AlienVault OTX\",\n                    \"title\": pulse.get(\"name\", \"\"),\n                    \"created\": pulse.get(\"created\", \"\"),\n                    \"description\": pulse.get(\"description\", \"\")[:500],\n                    \"tags\": pulse.get(\"tags\", []),\n                    \"indicators_count\": len(pulse.get(\"indicators\", [])),\n                    \"pulse_id\": pulse.get(\"id\", \"\"),\n                })\n                for ioc in pulse.get(\"indicators\", []):\n                    self.collected_data[\"indicators\"].append({\n                        \"type\": ioc.get(\"type\", \"\"),\n                        \"value\": ioc.get(\"indicator\", \"\"),\n                        \"source\": \"OTX\",\n                        \"pulse\": pulse.get(\"name\", \"\"),\n                    })\n            print(f\"[+] OTX: Found {len(pulses)} pulses for '{actor_name}'\")\n        return self.collected_data\n\n    def search_virustotal_collections(self, actor_name):\n        \"\"\"Search VirusTotal for threat actor collections.\"\"\"\n        headers = {\"x-apikey\": self.vt_key}\n        url = \"https://www.virustotal.com/api/v3/intelligence/search\"\n        params = {\"query\": f\"tag:{actor_name.lower().replace(' ', '-')}\"}\n        resp = requests.get(url, headers=headers, params=params)\n        if resp.status_code == 200:\n            results = resp.json().get(\"data\", [])\n            print(f\"[+] VT: Found {len(results)} samples tagged '{actor_name}'\")\n            return results\n        return []\n\n    def query_shodan_infrastructure(self, indicators):\n        \"\"\"Query Shodan for infrastructure details on IPs.\"\"\"\n        results = []\n        for ip in indicators:\n            url = f\"https://api.shodan.io/shodan/host/{ip}?key={self.shodan_key}\"\n            resp = requests.get(url)\n            if resp.status_code == 200:\n                data = resp.json()\n                results.append({\n                    \"ip\": ip,\n                    \"org\": data.get(\"org\", \"\"),\n                    \"asn\": data.get(\"asn\", \"\"),\n                    \"country\": data.get(\"country_code\", \"\"),\n                    \"ports\": data.get(\"ports\", []),\n                    \"hostnames\": data.get(\"hostnames\", []),\n                    \"os\": data.get(\"os\", \"\"),\n                    \"last_update\": data.get(\"last_update\", \"\"),\n                })\n        print(f\"[+] Shodan: Enriched {len(results)} IPs\")\n        return results\n\ncollector = OSINTCollector(\n    vt_key=\"YOUR_VT_KEY\",\n    otx_key=\"YOUR_OTX_KEY\",\n    shodan_key=\"YOUR_SHODAN_KEY\",\n)\ndata = collector.search_alienvault_otx(\"APT29\")\n```\n\n### Step 2: Build Structured Threat Actor Profile\n\n```python\nfrom stix2 import ThreatActor, IntrusionSet, Identity, Relationship, Bundle\nfrom datetime import datetime\n\n# Create STIX 2.1 Threat Actor profile\nidentity = Identity(\n    name=\"Cybersecurity Analyst\",\n    identity_class=\"individual\",\n)\n\nthreat_actor = ThreatActor(\n    name=\"APT29\",\n    description=\"APT29 (also known as Cozy Bear, Midnight Blizzard, NOBELIUM, The Dukes) \"\n                \"is a Russian state-sponsored threat group attributed to Russia's Foreign \"\n                \"Intelligence Service (SVR). Active since at least 2008, the group conducts \"\n                \"cyber espionage targeting government, diplomatic, think tank, healthcare, \"\n                \"and energy organizations primarily in NATO countries.\",\n    aliases=[\"Cozy Bear\", \"Midnight Blizzard\", \"NOBELIUM\", \"The Dukes\",\n             \"Dark Halo\", \"UNC2452\", \"YTTRIUM\", \"Blue Kitsune\", \"Iron Ritual\"],\n    roles=[\"agent\"],\n    sophistication=\"strategic\",\n    resource_level=\"government\",\n    primary_motivation=\"organizational-gain\",\n    secondary_motivations=[\"ideology\"],\n    threat_actor_types=[\"nation-state\"],\n    goals=[\"Intelligence collection on foreign governments\",\n           \"Long-term persistent access to high-value targets\",\n           \"Supply chain compromise for broad access\"],\n    created_by_ref=identity.id,\n)\n\nintrusion_set = IntrusionSet(\n    name=\"APT29\",\n    description=\"Intrusion set tracked as APT29, attributed to Russian SVR.\",\n    aliases=[\"Cozy Bear\", \"Midnight Blizzard\"],\n    first_seen=\"2008-01-01T00:00:00Z\",\n    goals=[\"espionage\"],\n    resource_level=\"government\",\n    primary_motivation=\"organizational-gain\",\n)\n\nrelationship = Relationship(\n    relationship_type=\"attributed-to\",\n    source_ref=intrusion_set.id,\n    target_ref=threat_actor.id,\n)\n\nbundle = Bundle(objects=[identity, threat_actor, intrusion_set, relationship])\nwith open(\"apt29_profile.json\", \"w\") as f:\n    f.write(bundle.serialize(pretty=True))\nprint(\"[+] STIX profile saved: apt29_profile.json\")\n```\n\n### Step 3: Map TTPs to MITRE ATT&CK\n\n```python\nfrom attackcti import attack_client\n\nlift = attack_client()\napt29_techs = lift.get_techniques_used_by_group(\"G0016\")\n\nprofile_ttps = {\n    \"initial_access\": [],\n    \"execution\": [],\n    \"persistence\": [],\n    \"defense_evasion\": [],\n    \"credential_access\": [],\n    \"lateral_movement\": [],\n    \"collection\": [],\n    \"c2\": [],\n    \"exfiltration\": [],\n}\n\ntactic_mapping = {\n    \"initial-access\": \"initial_access\",\n    \"execution\": \"execution\",\n    \"persistence\": \"persistence\",\n    \"defense-evasion\": \"defense_evasion\",\n    \"credential-access\": \"credential_access\",\n    \"lateral-movement\": \"lateral_movement\",\n    \"collection\": \"collection\",\n    \"command-and-control\": \"c2\",\n    \"exfiltration\": \"exfiltration\",\n}\n\nfor tech in apt29_techs:\n    tech_id = \"\"\n    for ref in tech.get(\"external_references\", []):\n        if ref.get(\"source_name\") == \"mitre-attack\":\n            tech_id = ref.get(\"external_id\", \"\")\n            break\n    for phase in tech.get(\"kill_chain_phases\", []):\n        tactic = phase.get(\"phase_name\", \"\")\n        key = tactic_mapping.get(tactic)\n        if key:\n            profile_ttps[key].append({\n                \"id\": tech_id,\n                \"name\": tech.get(\"name\", \"\"),\n                \"description\": tech.get(\"description\", \"\")[:200],\n            })\n\nprint(\"=== APT29 TTP Profile ===\")\nfor tactic, techs in profile_ttps.items():\n    if techs:\n        print(f\"\\n{tactic.upper()} ({len(techs)} techniques):\")\n        for t in techs[:5]:\n            print(f\"  {t['id']}: {t['name']}\")\n```\n\n### Step 4: Correlate Infrastructure with SpiderFoot\n\n```python\nimport subprocess\nimport json\n\ndef run_spiderfoot_scan(target, scan_name=\"actor_recon\"):\n    \"\"\"Run SpiderFoot scan against target domain or IP.\"\"\"\n    cmd = [\n        \"python3\", \"-m\", \"spiderfoot\", \"-s\", target,\n        \"-m\", \"sfp_dns,sfp_whois,sfp_shodan,sfp_virustotal,sfp_certspotter\",\n        \"-o\", \"json\", \"-q\",\n    ]\n    result = subprocess.run(cmd, capture_output=True, text=True, timeout=300)\n    if result.returncode == 0:\n        findings = json.loads(result.stdout) if result.stdout else []\n        print(f\"[+] SpiderFoot: {len(findings)} findings for {target}\")\n        return findings\n    return []\n\ndef correlate_infrastructure(indicators):\n    \"\"\"Find relationships between infrastructure indicators.\"\"\"\n    ip_to_domains = {}\n    domain_to_ips = {}\n    registrar_patterns = {}\n\n    for indicator in indicators:\n        ioc_type = indicator.get(\"type\", \"\")\n        value = indicator.get(\"value\", \"\")\n\n        if ioc_type == \"IP_ADDRESS\":\n            if value not in ip_to_domains:\n                ip_to_domains[value] = set()\n        elif ioc_type == \"INTERNET_NAME\":\n            if value not in domain_to_ips:\n                domain_to_ips[value] = set()\n\n    # Identify shared hosting, registration patterns\n    shared_ips = {ip: domains for ip, domains in ip_to_domains.items() if len(domains) > 1}\n    print(f\"[+] Shared infrastructure IPs: {len(shared_ips)}\")\n    return {\"shared_ips\": shared_ips, \"registrar_patterns\": registrar_patterns}\n```\n\n### Step 5: Generate Threat Actor Dossier\n\n```python\ndef generate_dossier(actor_name, profile_data, ttp_data, infrastructure_data):\n    dossier = f\"\"\"# Threat Actor Dossier: {actor_name}\n## Generated: {datetime.now().isoformat()}\n\n## Executive Summary\n{profile_data.get('description', '')}\n\n## Attribution\n- **Suspected Origin**: {profile_data.get('origin', 'Unknown')}\n- **Sponsorship**: {profile_data.get('sponsorship', 'Unknown')}\n- **Confidence Level**: {profile_data.get('confidence', 'Medium')}\n- **First Observed**: {profile_data.get('first_seen', 'Unknown')}\n\n## Aliases\n{', '.join(profile_data.get('aliases', []))}\n\n## Targeting\n- **Sectors**: {', '.join(profile_data.get('sectors', []))}\n- **Regions**: {', '.join(profile_data.get('regions', []))}\n- **Motivation**: {profile_data.get('motivation', 'Unknown')}\n\n## TTP Summary (MITRE ATT&CK)\n\"\"\"\n    for tactic, techs in ttp_data.items():\n        if techs:\n            dossier += f\"\\n### {tactic.replace('_', ' ').title()}\\n\"\n            for t in techs:\n                dossier += f\"- **{t['id']}**: {t['name']}\\n\"\n\n    dossier += f\"\"\"\n## Infrastructure Patterns\n- Known C2 servers: {len(infrastructure_data.get('c2_servers', []))}\n- Domain patterns: {', '.join(infrastructure_data.get('domain_patterns', []))}\n- Hosting preferences: {', '.join(infrastructure_data.get('hosting', []))}\n\n## Recommendations\n1. Monitor for known TTPs in EDR/SIEM\n2. Block known infrastructure indicators\n3. Hunt for behavioral patterns in network traffic\n4. Implement detections for top technique gaps\n\"\"\"\n    with open(f\"{actor_name.lower().replace(' ', '_')}_dossier.md\", \"w\") as f:\n        f.write(dossier)\n    print(f\"[+] Dossier saved for {actor_name}\")\n\ngenerate_dossier(\"APT29\", {\n    \"description\": \"Russian state-sponsored espionage group attributed to SVR\",\n    \"origin\": \"Russia\", \"sponsorship\": \"SVR (Foreign Intelligence Service)\",\n    \"confidence\": \"High\", \"first_seen\": \"2008\",\n    \"aliases\": [\"Cozy Bear\", \"Midnight Blizzard\", \"NOBELIUM\", \"The Dukes\"],\n    \"sectors\": [\"Government\", \"Diplomatic\", \"Think Tank\", \"Healthcare\", \"Energy\"],\n    \"regions\": [\"North America\", \"Europe\", \"NATO countries\"],\n    \"motivation\": \"Espionage\",\n}, profile_ttps, {\"c2_servers\": [], \"domain_patterns\": [], \"hosting\": []})\n```\n\n## Validation Criteria\n\n- Intelligence collected from at least 3 OSINT sources\n- STIX 2.1 Threat Actor and Intrusion Set objects created correctly\n- TTPs mapped to ATT&CK with technique IDs and procedure examples\n- Infrastructure indicators correlated across sources\n- Dossier includes attribution assessment with confidence levels\n- Profile is actionable for detection engineering and threat hunting\n\n## References\n\n- [Huntress: Threat Actor Profiling](https://www.huntress.com/cybersecurity-101/topic/threat-actor-profiling)\n- [CrowdStrike: OSINT in Cybersecurity](https://www.crowdstrike.com/en-us/cybersecurity-101/threat-intelligence/open-source-intelligence-osint/)\n- [SpiderFoot OSINT Tool](https://github.com/smicallef/spiderfoot)\n- [MITRE ATT&CK Groups](https://attack.mitre.org/groups/)\n- [ShadowDragon: OSINT Techniques](https://shadowdragon.io/blog/osint-techniques/)\n- [ISACA: Building a Threat-Led Cybersecurity Program](https://www.isaca.org/resources/white-papers/2025/building-a-threat-led-cybersecurity-program)\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn7exkvs9fr4ybh3yx6986mfw985c17g\",\n  \"slug\": \"threat-actor-osint\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1779790526947\n}\n\nFile v1.0.0:references/api-reference.md\n\n# API Reference: Threat Actor Profiling from OSINT\n\n## MITRE ATT&CK STIX Data\n```bash\ncurl -o enterprise-attack.json \\\n  https://raw.githubusercontent.com/mitre/cti/master/enterprise-attack/enterprise-attack.json\n```\n\n### STIX Object Types\n| Type | Description |\n|------|-------------|\n| `intrusion-set` | Threat actor groups |\n| `attack-pattern` | Techniques/sub-techniques |\n| `malware` | Malware families |\n| `tool` | Legitimate tools abused |\n| `relationship` | Links (group \"uses\" technique) |\n\n## AlienVault OTX API\n```\nGET https://otx.alienvault.com/api/v1/pulses/search?q={group_name}&limit=10\nX-OTX-API-KEY: $OTX_API_KEY\n```\n\n### OTX Pulse Fields\n| Field | Description |\n|-------|-------------|\n| `name` | Pulse title |\n| `created` | Publication date |\n| `tags` | Topic tags |\n| `indicators` | IOCs (IPs, domains, hashes) |\n\n## MITRE ATT&CK Navigator Layer\n```json\n{\n  \"name\": \"APT29 Techniques\",\n  \"versions\": {\"attack\": \"14\", \"navigator\": \"4.9\"},\n  \"domain\": \"enterprise-attack\",\n  \"techniques\": [\n    {\"techniqueID\": \"T1566.001\", \"score\": 100, \"color\": \"#ff6666\"}\n  ]\n}\n```\n\n## ATT&CK Tactic IDs\n| Tactic | ID |\n|--------|-----|\n| Initial Access | TA0001 |\n| Execution | TA0002 |\n| Persistence | TA0003 |\n| Privilege Escalation | TA0004 |\n| Defense Evasion | TA0005 |\n| Credential Access | TA0006 |\n| Discovery | TA0007 |\n| Lateral Movement | TA0008 |\n| Collection | TA0009 |\n| Exfiltration | TA0010 |\n| Command and Control | TA0011 |\n| Impact | TA0040 |\n\n## MALPEDIA API\n```\nGET https://malpedia.caad.fkie.fraunhofer.de/api/list/actors\nAuthorization: apitoken $MALPEDIA_API_KEY\n```\n\n## Threat Actor Profiling Fields\n| Field | Source |\n|-------|--------|\n| Aliases | ATT&CK intrusion-set |\n| TTPs | ATT&CK relationships |\n| Malware | ATT&CK malware objects |\n| IOCs | OTX pulse indicators |\n| Reports | OTX, MITRE references |\n\nFile v1.0.0:skill-card.md\n\n## Description:\n\nBuild comprehensive threat actor profiles using open-source intelligence (OSINT) techniques to document adversary motivations, capabilities, infrastructure, and TTPs for proactive defense.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[ling-qian](https://clawhub.ai/user/ling-qian)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nSecurity analysts, threat intelligence teams, and detection engineers use this skill to gather OSINT, map threat actor TTPs to MITRE ATT&CK, correlate infrastructure, and produce structured threat actor dossiers for defensive planning.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Threat actor names, indicators, and collection targets may be sent to third-party OSINT and threat-intelligence services.\n\nMitigation: Use the skill only for authorized threat-intelligence work, minimize sensitive query content, and review which external services are enabled before execution.\n\nRisk: API keys for OTX, VirusTotal, Shodan, Malpedia, or related tools could be exposed if passed directly in prompts or command lines.\n\nMitigation: Store credentials in environment variables or a secret manager and avoid embedding keys in generated code, reports, or command history.\n\nRisk: Collected OSINT and generated dossiers can include sensitive indicators, attribution assessments, or investigative targets.\n\nMitigation: Handle generated JSON and Markdown reports according to organizational data-handling rules and review them before sharing.\n\nRisk: Collection from social media, paste sites, dark web forums, or similar sources may have legal, policy, or authorization constraints.\n\nMitigation: Confirm legal and organizational authorization before using the skill for those source categories.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/ling-qian/skills/threat-actor-osint)\n- [API Reference: Threat Actor Profiling from OSINT](references/api-reference.md)\n- [SpiderFoot OSINT Tool](https://github.com/smicallef/spiderfoot)\n- [MITRE ATT&CK Groups](https://attack.mitre.org/groups/)\n- [MITRE ATT&CK STIX data](https://raw.githubusercontent.com/mitre/cti/master/enterprise-attack/enterprise-attack.json)\n- [Huntress: Threat Actor Profiling](https://www.huntress.com/cybersecurity-101/topic/threat-actor-profiling)\n- [CrowdStrike: OSINT in Cybersecurity](https://www.crowdstrike.com/en-us/cybersecurity-101/threat-intelligence/open-source-intelligence-osint/)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance, JSON]\n\n**Output Format:** [Markdown guidance with Python and shell examples; JSON report artifacts when running the bundled script.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May call MITRE ATT&CK, AlienVault OTX, VirusTotal, Shodan, Malpedia, or SpiderFoot depending on user configuration and API keys.]\n\n## Skill Version(s):\n\n1.0.0 (source: server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.","readmeExcerpt":"Skill: Threat Actor OSINT Profiling Owner: ling-qian Summary: Build comprehensive threat actor profiles using open-source intelligence (OSINT) techniques to document adversary motivations, capabilities, infrastructure,... Tags: latest:1.0.0, osint:1.0.0, security:1.0.0, threat-actor:1.0.0 Version history: v1.0.0 | 2026-05-26T10:15:26.947Z | auto Initial release – build comprehensive threat actor profiles using OSINT.","codeSnippets":[],"executableExamples":[{"language":"python","snippet":"import requests\nimport json\nfrom datetime import datetime\n\nclass OSINTCollector:\n    def __init__(self, vt_key=None, otx_key=None, shodan_key=None):\n        self.vt_key = vt_key\n        self.otx_key = otx_key\n        self.shodan_key = shodan_key\n        self.collected_data = {\"sources\": [], \"indicators\": [], \"reports\": []}\n\n    def search_alienvault_otx(self, actor_name):\n        \"\"\"Search AlienVault OTX for threat actor pulses.\"\"\"\n        headers = {\"X-OTX-API-KEY\": self.otx_key}\n        url = f\"https://otx.alienvault.com/api/v1/search/pulses?q={actor_name}&limit=20\"\n        resp = requests.get(url, headers=headers)\n        if resp.status_code == 200:\n            data = resp.json()\n            pulses = data.get(\"results\", [])\n            for pulse in pulses:\n                self.collected_data[\"reports\"].append({\n                    \"source\": \"AlienVault OTX\",\n                    \"title\": pulse.get(\"name\", \"\"),\n                    \"created\": pulse.get(\"created\", \"\"),\n                    \"description\": pulse.get(\"description\", \"\")[:500],\n                    \"tags\": pulse.get(\"tags\", []),\n                    \"indicators_count\": len(pulse.get(\"indicators\", [])),\n                    \"pulse_id\": pulse.get(\"id\", \"\"),\n                })\n                for ioc in pulse.get(\"indicators\", []):\n                    self.collected_data[\"indicators\"].append({\n                        \"type\": ioc.get(\"type\", \"\"),\n                        \"value\": ioc.get(\"indicator\", \"\"),\n                        \"source\": \"OTX\",\n                        \"pulse\": pulse.get(\"name\", \"\"),\n                    })\n            print(f\"[+] OTX: Found {len(pulses)} pulses for '{actor_name}'\")\n        return self.collected_data\n\n    def search_virustotal_collections(self, actor_name):\n        \"\"\"Search VirusTotal for threat actor collections.\"\"\"\n        headers = {\"x-apikey\": self.vt_key}\n        url = \"https://www.virustotal.com/api/v3/intelligence/search\"\n        params = {\"query\": f\"tag:{actor_name.lower()"},{"language":"python","snippet":"from stix2 import ThreatActor, IntrusionSet, Identity, Relationship, Bundle\nfrom datetime import datetime\n\n# Create STIX 2.1 Threat Actor profile\nidentity = Identity(\n    name=\"Cybersecurity Analyst\",\n    identity_class=\"individual\",\n)\n\nthreat_actor = ThreatActor(\n    name=\"APT29\",\n    description=\"APT29 (also known as Cozy Bear, Midnight Blizzard, NOBELIUM, The Dukes) \"\n                \"is a Russian state-sponsored threat group attributed to Russia's Foreign \"\n                \"Intelligence Service (SVR). Active since at least 2008, the group conducts \"\n                \"cyber espionage targeting government, diplomatic, think tank, healthcare, \"\n                \"and energy organizations primarily in NATO countries.\",\n    aliases=[\"Cozy Bear\", \"Midnight Blizzard\", \"NOBELIUM\", \"The Dukes\",\n             \"Dark Halo\", \"UNC2452\", \"YTTRIUM\", \"Blue Kitsune\", \"Iron Ritual\"],\n    roles=[\"agent\"],\n    sophistication=\"strategic\",\n    resource_level=\"government\",\n    primary_motivation=\"organizational-gain\",\n    secondary_motivations=[\"ideology\"],\n    threat_actor_types=[\"nation-state\"],\n    goals=[\"Intelligence collection on foreign governments\",\n           \"Long-term persistent access to high-value targets\",\n           \"Supply chain compromise for broad access\"],\n    created_by_ref=identity.id,\n)\n\nintrusion_set = IntrusionSet(\n    name=\"APT29\",\n    description=\"Intrusion set tracked as APT29, attributed to Russian SVR.\",\n    aliases=[\"Cozy Bear\", \"Midnight Blizzard\"],\n    first_seen=\"2008-01-01T00:00:00Z\",\n    goals=[\"espionage\"],\n    resource_level=\"government\",\n    primary_motivation=\"organizational-gain\",\n)\n\nrelationship = Relationship(\n    relationship_type=\"attributed-to\",\n    source_ref=intrusion_set.id,\n    target_ref=threat_actor.id,\n)\n\nbundle = Bundle(objects=[identity, threat_actor, intrusion_set, relationship])\nwith open(\"apt29_profile.json\", \"w\") as f:\n    f.write(bundle.serialize(pretty=True))\nprint(\"[+] STIX profile saved: apt29_profile.json\")"},{"language":"python","snippet":"from attackcti import attack_client\n\nlift = attack_client()\napt29_techs = lift.get_techniques_used_by_group(\"G0016\")\n\nprofile_ttps = {\n    \"initial_access\": [],\n    \"execution\": [],\n    \"persistence\": [],\n    \"defense_evasion\": [],\n    \"credential_access\": [],\n    \"lateral_movement\": [],\n    \"collection\": [],\n    \"c2\": [],\n    \"exfiltration\": [],\n}\n\ntactic_mapping = {\n    \"initial-access\": \"initial_access\",\n    \"execution\": \"execution\",\n    \"persistence\": \"persistence\",\n    \"defense-evasion\": \"defense_evasion\",\n    \"credential-access\": \"credential_access\",\n    \"lateral-movement\": \"lateral_movement\",\n    \"collection\": \"collection\",\n    \"command-and-control\": \"c2\",\n    \"exfiltration\": \"exfiltration\",\n}\n\nfor tech in apt29_techs:\n    tech_id = \"\"\n    for ref in tech.get(\"external_references\", []):\n        if ref.get(\"source_name\") == \"mitre-attack\":\n            tech_id = ref.get(\"external_id\", \"\")\n            break\n    for phase in tech.get(\"kill_chain_phases\", []):\n        tactic = phase.get(\"phase_name\", \"\")\n        key = tactic_mapping.get(tactic)\n        if key:\n            profile_ttps[key].append({\n                \"id\": tech_id,\n                \"name\": tech.get(\"name\", \"\"),\n                \"description\": tech.get(\"description\", \"\")[:200],\n            })\n\nprint(\"=== APT29 TTP Profile ===\")\nfor tactic, techs in profile_ttps.items():\n    if techs:\n        print(f\"\\n{tactic.upper()} ({len(techs)} techniques):\")\n        for t in techs[:5]:\n            print(f\"  {t['id']}: {t['name']}\")"},{"language":"python","snippet":"import subprocess\nimport json\n\ndef run_spiderfoot_scan(target, scan_name=\"actor_recon\"):\n    \"\"\"Run SpiderFoot scan against target domain or IP.\"\"\"\n    cmd = [\n        \"python3\", \"-m\", \"spiderfoot\", \"-s\", target,\n        \"-m\", \"sfp_dns,sfp_whois,sfp_shodan,sfp_virustotal,sfp_certspotter\",\n        \"-o\", \"json\", \"-q\",\n    ]\n    result = subprocess.run(cmd, capture_output=True, text=True, timeout=300)\n    if result.returncode == 0:\n        findings = json.loads(result.stdout) if result.stdout else []\n        print(f\"[+] SpiderFoot: {len(findings)} findings for {target}\")\n        return findings\n    return []\n\ndef correlate_infrastructure(indicators):\n    \"\"\"Find relationships between infrastructure indicators.\"\"\"\n    ip_to_domains = {}\n    domain_to_ips = {}\n    registrar_patterns = {}\n\n    for indicator in indicators:\n        ioc_type = indicator.get(\"type\", \"\")\n        value = indicator.get(\"value\", \"\")\n\n        if ioc_type == \"IP_ADDRESS\":\n            if value not in ip_to_domains:\n                ip_to_domains[value] = set()\n        elif ioc_type == \"INTERNET_NAME\":\n            if value not in domain_to_ips:\n                domain_to_ips[value] = set()\n\n    # Identify shared hosting, registration patterns\n    shared_ips = {ip: domains for ip, domains in ip_to_domains.items() if len(domains) > 1}\n    print(f\"[+] Shared infrastructure IPs: {len(shared_ips)}\")\n    return {\"shared_ips\": shared_ips, \"registrar_patterns\": registrar_patterns}"},{"language":"python","snippet":"def generate_dossier(actor_name, profile_data, ttp_data, infrastructure_data):\n    dossier = f\"\"\"# Threat Actor Dossier: {actor_name}\n## Generated: {datetime.now().isoformat()}\n\n## Executive Summary\n{profile_data.get('description', '')}\n\n## Attribution\n- **Suspected Origin**: {profile_data.get('origin', 'Unknown')}\n- **Sponsorship**: {profile_data.get('sponsorship', 'Unknown')}\n- **Confidence Level**: {profile_data.get('confidence', 'Medium')}\n- **First Observed**: {profile_data.get('first_seen', 'Unknown')}\n\n## Aliases\n{', '.join(profile_data.get('aliases', []))}\n\n## Targeting\n- **Sectors**: {', '.join(profile_data.get('sectors', []))}\n- **Regions**: {', '.join(profile_data.get('regions', []))}\n- **Motivation**: {profile_data.get('motivation', 'Unknown')}\n\n## TTP Summary (MITRE ATT&CK)\n\"\"\"\n    for tactic, techs in ttp_data.items():\n        if techs:\n            dossier += f\"\\n### {tactic.replace('_', ' ').title()}\\n\"\n            for t in techs:\n                dossier += f\"- **{t['id']}**: {t['name']}\\n\"\n\n    dossier += f\"\"\"\n## Infrastructure Patterns\n- Known C2 servers: {len(infrastructure_data.get('c2_servers', []))}\n- Domain patterns: {', '.join(infrastructure_data.get('domain_patterns', []))}\n- Hosting preferences: {', '.join(infrastructure_data.get('hosting', []))}\n\n## Recommendations\n1. Monitor for known TTPs in EDR/SIEM\n2. Block known infrastructure indicators\n3. Hunt for behavioral patterns in network traffic\n4. Implement detections for top technique gaps\n\"\"\"\n    with open(f\"{actor_name.lower().replace(' ', '_')}_dossier.md\", \"w\") as f:\n        f.write(dossier)\n    print(f\"[+] Dossier saved for {actor_name}\")\n\ngenerate_dossier(\"APT29\", {\n    \"description\": \"Russian state-sponsored espionage group attributed to SVR\",\n    \"origin\": \"Russia\", \"sponsorship\": \"SVR (Foreign Intelligence Service)\",\n    \"confidence\": \"High\", \"first_seen\": \"2008\",\n    \"aliases\": [\"Cozy Bear\", \"Midnight Blizzard\", \"NOBELIUM\", \"The Dukes\"],\n    \"sectors\": [\"Government\", \"Diplomatic\", "},{"language":"bash","snippet":"curl -o enterprise-attack.json \\"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: building-threat-actor-profile-from-osint\ndescription: Build comprehensive threat actor profiles using open-source intelligence (OSINT) techniques to document adversary\n  motivations, capabilities, infrastructure, and TTPs for proactive defense.\ndomain: cybersecurity\nsubdomain: threat-intelligence\ntags:\n- osint\n- threat-actor\n- profiling\n- maltego\n- spiderfoot\n- attribution\n- threat-intelligence\n- reconnaissance\nversion: '1.0'\nauthor: mahipal\nlicense: Apache-2.0\nnist_csf:\n- ID.RA-01\n- ID.RA-05\n- DE.CM-01\n- DE.AE-02\n---\n# Building Threat Actor Profile from OSINT\n\n## Overview\n\nThreat actor profiling using OSINT systematically gathers and analyzes publicly available information to build comprehensive profiles of adversary groups. This skill covers collecting intelligence from public sources (security vendor reports, paste sites, dark web forums, social media, code repositories), correlating indicators across platforms, mapping adversary infrastructure using tools like Maltego and SpiderFoot, and producing structured threat actor dossiers that inform defensive strategies and attribution assessments.\n\n\n## When to Use\n\n- When deploying or configuring building threat actor profile from osint capabilities in your environment\n- When establishing security controls aligned to compliance requirements\n- When building or improving security architecture for this domain\n- When conducting security assessments that require this implementation\n\n## Prerequisites\n\n- Python 3.9+ with `shodan`, `requests`, `beautifulsoup4`, `maltego-trx`, `stix2` libraries\n- SpiderFoot (https://github.com/smicallef/spiderfoot) or SpiderFoot HX\n- Maltego CE or Maltego XL for link analysis\n- API keys: Shodan, VirusTotal, AlienVault OTX, PassiveTotal/RiskIQ\n- MITRE ATT&CK knowledge for TTP mapping\n- Understanding of STIX 2.1 Intrusion Set, Threat Actor, and Identity SDOs\n\n## Key Concepts\n\n### OSINT Sources for Threat Actor Profiling\n\nPrimary intelligence sources include vendor threat reports (Mandiant, CrowdStrike, Recorded Future, Talos), government advisories (CISA, NSA, FBI joint advisories), academic research papers, malware repositories (VirusTotal, MalwareBazaar, Malpedia), paste sites (Pastebin, GitHub Gists), code repositories, social media accounts, dark web forums, and certificate transparency logs.\n\n### Structured Analytical Techniques\n\nProfiling uses the Diamond Model (adversary, infrastructure, capability, victim), Analysis of Competing Hypotheses (ACH) for attribution confidence, and MITRE ATT&CK mapping for TTP documentation. Link analysis tools like Maltego visualize relationships between indicators, infrastructure, and actors.\n\n### Profile Components\n\nA complete threat actor profile includes: aliases and naming conventions across vendors, suspected origin and sponsorship, motivation (espionage, financial, hacktivism, disruption), targeted sectors and geographies, known campaigns and operations, TTPs mapped to ATT&CK, toolset and malware families, infrastructure p"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7exkvs9fr4ybh3yx6986mfw985c17g\",\n  \"slug\": \"threat-actor-osint\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1779790526947\n}"},{"path":"references/api-reference.md","content":"# API Reference: Threat Actor Profiling from OSINT\n\n## MITRE ATT&CK STIX Data\n```bash\ncurl -o enterprise-attack.json \\\n  https://raw.githubusercontent.com/mitre/cti/master/enterprise-attack/enterprise-attack.json\n```\n\n### STIX Object Types\n| Type | Description |\n|------|-------------|\n| `intrusion-set` | Threat actor groups |\n| `attack-pattern` | Techniques/sub-techniques |\n| `malware` | Malware families |\n| `tool` | Legitimate tools abused |\n| `relationship` | Links (group \"uses\" technique) |\n\n## AlienVault OTX API\n```\nGET https://otx.alienvault.com/api/v1/pulses/search?q={group_name}&limit=10\nX-OTX-API-KEY: $OTX_API_KEY\n```\n\n### OTX Pulse Fields\n| Field | Description |\n|-------|-------------|\n| `name` | Pulse title |\n| `created` | Publication date |\n| `tags` | Topic tags |\n| `indicators` | IOCs (IPs, domains, hashes) |\n\n## MITRE ATT&CK Navigator Layer\n```json\n{\n  \"name\": \"APT29 Techniques\",\n  \"versions\": {\"attack\": \"14\", \"navigator\": \"4.9\"},\n  \"domain\": \"enterprise-attack\",\n  \"techniques\": [\n    {\"techniqueID\": \"T1566.001\", \"score\": 100, \"color\": \"#ff6666\"}\n  ]\n}\n```\n\n## ATT&CK Tactic IDs\n| Tactic | ID |\n|--------|-----|\n| Initial Access | TA0001 |\n| Execution | TA0002 |\n| Persistence | TA0003 |\n| Privilege Escalation | TA0004 |\n| Defense Evasion | TA0005 |\n| Credential Access | TA0006 |\n| Discovery | TA0007 |\n| Lateral Movement | TA0008 |\n| Collection | TA0009 |\n| Exfiltration | TA0010 |\n| Command and Control | TA0011 |\n| Impact | TA0040 |\n\n## MALPEDIA API\n```\nGET https://malpedia.caad.fkie.fraunhofer.de/api/list/actors\nAuthorization: apitoken $MALPEDIA_API_KEY\n```\n\n## Threat Actor Profiling Fields\n| Field | Source |\n|-------|--------|\n| Aliases | ATT&CK intrusion-set |\n| TTPs | ATT&CK relationships |\n| Malware | ATT&CK malware objects |\n| IOCs | OTX pulse indicators |\n| Reports | OTX, MITRE references |"},{"path":"skill-card.md","content":"## Description:\n\nBuild comprehensive threat actor profiles using open-source intelligence (OSINT) techniques to document adversary motivations, capabilities, infrastructure, and TTPs for proactive defense.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[ling-qian](https://clawhub.ai/user/ling-qian)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nSecurity analysts, threat intelligence teams, and detection engineers use this skill to gather OSINT, map threat actor TTPs to MITRE ATT&CK, correlate infrastructure, and produce structured threat actor dossiers for defensive planning.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Threat actor names, indicators, and collection targets may be sent to third-party OSINT and threat-intelligence services.\n\nMitigation: Use the skill only for authorized threat-intelligence work, minimize sensitive query content, and review which external services are enabled before execution.\n\nRisk: API keys for OTX, VirusTotal, Shodan, Malpedia, or related tools could be exposed if passed directly in prompts or command lines.\n\nMitigation: Store credentials in environment variables or a secret manager and avoid embedding keys in generated code, reports, or command history.\n\nRisk: Collected OSINT and generated dossiers can include sensitive indicators, attribution assessments, or investigative targets.\n\nMitigation: Handle generated JSON and Markdown reports according to organizational data-handling rules and review them before sharing.\n\nRisk: Collection from social media, paste sites, dark web forums, or similar sources may have legal, policy, or authorization constraints.\n\nMitigation: Confirm legal and organizational authorization before using the skill for those source categories.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/ling-qian/skills/threat-actor-osint)\n- [API Reference: Threat Actor Profiling from OSINT](references/api-reference.md)\n- [SpiderFoot OSINT Tool](https://github.com/smicallef/spiderfoot)\n- [MITRE ATT&CK Groups](https://attack.mitre.org/groups/)\n- [MITRE ATT&CK STIX data](https://raw.githubusercontent.com/mitre/cti/master/enterprise-attack/enterprise-attack.json)\n- [Huntress: Threat Actor Profiling](https://www.huntress.com/cybersecurity-101/topic/threat-actor-profiling)\n- [CrowdStrike: OSINT in Cybersecurity](https://www.crowdstrike.com/en-us/cybersecurity-101/threat-intelligence/open-source-intelligence-osint/)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance, JSON]\n\n**Output Format:** [Markdown guidance with Python and shell examples; JSON report artifacts when running the bundled script.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May call MITRE ATT&CK, AlienVault OTX, VirusTotal, Shodan, Malpedia, or SpiderFoot depending on user configuration and API keys.]\n\n## Skill Version(s):\n\n1.0.0 (source: server release evidence)\n\n## Ethical Considerations:\n"}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Build comprehensive threat actor profiles using open-source intelligence (OSINT) techniques to document adversary motivations, capabilities, infrastructure,... Skill: Threat Actor OSINT Profiling Owner: ling-qian Summary: Build comprehensive threat actor profiles using open-source intelligence (OSINT) techniques to document adversary motivations, capabilities, infrastructure,... 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