[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6AE08EKVE7XP03DT3FD648D":3,"skill-same:01M6AE08EKVE7XP03DT3FD648D":110},{"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":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":57,"commitSha":58,"skillDirectory":59,"forksCount":60,"repositoryHtmlUrl":61,"repositoryHomepageUrl":62,"ownerHtmlUrl":63,"ownerBlogUrl":64,"ownerDescription":65,"updatedAt":66,"install":67,"resources":80},"01M6AE08EKVE7XP03DT3FD648D","building-threat-actor-profile-from-osint",null,"Build threat actor profiles by collecting OSINT from vendor reports, paste sites, dark web forums, social media, and code repos, correlating indicators, mapping adversary infrastructure with tools like Maltego and SpiderFoot, and producing structured dossiers of motivations, capabilities, infrastructure, and TTPs. Use when performing attribution or building an adversary dossier from open-source intelligence.","mukul975\u002FAnthropic-Cybersecurity-Skills","mukul975","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F42860185?v=4","01M6ADEQR8T5M4EEG6C67BQCWF","Mahipal","01M6ADJPMYWG1E5GM1FWBE3128",36078,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fbuilding-threat-actor-profile-from-osint\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"osint","building threat actor profile from osint","cybersecurity","web","repos","infrastructure","code","capabilities","threat-actor","threat-intelligence","attribution","threat-actor-profiling","maltego","spiderfoot","reconnaissance","2026-11-10 10:12:30",false,"---\nname: building-threat-actor-profile-from-osint\ndescription: Build threat actor profiles by collecting OSINT from vendor reports, paste sites, dark web forums, social media, and code repos, correlating indicators, mapping adversary infrastructure with tools like Maltego and SpiderFoot, and producing structured dossiers of motivations, capabilities, infrastructure, and TTPs. Use when performing attribution or building an adversary dossier from open-source intelligence.\ndomain: cybersecurity\nsubdomain: threat-intelligence\ntags:\n- osint\n- threat-actor\n- threat-actor-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\nmitre_attack:\n- T1591\n- T1589\n- T1593\n- T1590\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:\u002F\u002Fgithub.com\u002Fsmicallef\u002Fspiderfoot) or SpiderFoot HX\n- Maltego CE or Maltego XL for link analysis\n- API keys: Shodan, VirusTotal, AlienVault OTX, PassiveTotal\u002FRiskIQ\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:\u002F\u002Fotx.alienvault.com\u002Fapi\u002Fv1\u002Fsearch\u002Fpulses?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:\u002F\u002Fwww.virustotal.com\u002Fapi\u002Fv3\u002Fintelligence\u002Fsearch\"\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:\u002F\u002Fapi.shodan.io\u002Fshodan\u002Fhost\u002F{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\u002FSIEM\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:\u002F\u002Fwww.huntress.com\u002Fcybersecurity-101\u002Ftopic\u002Fthreat-actor-profiling)\n- [CrowdStrike: OSINT in Cybersecurity](https:\u002F\u002Fwww.crowdstrike.com\u002Fen-us\u002Fcybersecurity-101\u002Fthreat-intelligence\u002Fopen-source-intelligence-osint\u002F)\n- [SpiderFoot OSINT Tool](https:\u002F\u002Fgithub.com\u002Fsmicallef\u002Fspiderfoot)\n- [MITRE ATT&CK Groups](https:\u002F\u002Fattack.mitre.org\u002Fgroups\u002F)\n- [ShadowDragon: OSINT Techniques](https:\u002F\u002Fshadowdragon.io\u002Fblog\u002Fosint-techniques\u002F)\n- [ISACA: Building a Threat-Led Cybersecurity Program](https:\u002F\u002Fwww.isaca.org\u002Fresources\u002Fwhite-papers\u002F2025\u002Fbuilding-a-threat-led-cybersecurity-program)\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:\u002F\u002Fgithub.com\u002Fsmicallef\u002Fspiderfoot) or SpiderFoot HX\n- Maltego CE or Maltego XL for link analysis\n- API keys: Shodan, VirusTotal, AlienVault OTX, PassiveTotal\u002FRiskIQ\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:\u002F\u002Fotx.alienvault.com\u002Fapi\u002Fv1\u002Fsearch\u002Fpulses?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:\u002F\u002Fwww.virustotal.com\u002Fapi\u002Fv3\u002Fintelligence\u002Fsearch\"\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:\u002F\u002Fapi.shodan.io\u002Fshodan\u002Fhost\u002F{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\u002FSIEM\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:\u002F\u002Fwww.huntress.com\u002Fcybersecurity-101\u002Ftopic\u002Fthreat-actor-profiling)\n- [CrowdStrike: OSINT in Cybersecurity](https:\u002F\u002Fwww.crowdstrike.com\u002Fen-us\u002Fcybersecurity-101\u002Fthreat-intelligence\u002Fopen-source-intelligence-osint\u002F)\n- [SpiderFoot OSINT Tool](https:\u002F\u002Fgithub.com\u002Fsmicallef\u002Fspiderfoot)\n- [MITRE ATT&CK Groups](https:\u002F\u002Fattack.mitre.org\u002Fgroups\u002F)\n- [ShadowDragon: OSINT Techniques](https:\u002F\u002Fshadowdragon.io\u002Fblog\u002Fosint-techniques\u002F)\n- [ISACA: Building a Threat-Led Cybersecurity Program](https:\u002F\u002Fwww.isaca.org\u002Fresources\u002Fwhite-papers\u002F2025\u002Fbuilding-a-threat-led-cybersecurity-program)\n",{"name":5,"tags":44,"author":45,"domain":26,"license":15,"version":46,"nist_csf":47,"subdomain":33,"description":7,"mitre_attack":52},[24,32,35,36,37,34,33,38],"mahipal","1.0",[48,49,50,51],"ID.RA-01","ID.RA-05","DE.CM-01","DE.AE-02",[53,54,55,56],"T1591","T1589","T1593","T1590","main","54a798831d2266a3ca61ce68a7acb80b81160d57","skills\u002Fbuilding-threat-actor-profile-from-osint",4414,"https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills","https:\u002F\u002Fmahipal.engineer\u002FAnthropic-Cybersecurity-Skills\u002F","https:\u002F\u002Fgithub.com\u002Fmukul975","Mahipal.engineer","🔐 Cybersecurity | 💻 Dev | 📷 Street Photographer\r\n🎓 MSc | 📚 Research & AI Security","2026-08-31 12:32:44",{"source":8,"skillName":5,"commands":68,"prompt":78,"zipAvailable":79},[69,72,75],{"tool":70,"command":71},"npx","npx skills add mukul975\u002FAnthropic-Cybersecurity-Skills --skill building-threat-actor-profile-from-osint",{"tool":73,"command":74},"bunx","bunx skills add mukul975\u002FAnthropic-Cybersecurity-Skills --skill building-threat-actor-profile-from-osint",{"tool":76,"command":77},"pnpm","pnpm dlx skills add mukul975\u002FAnthropic-Cybersecurity-Skills --skill building-threat-actor-profile-from-osint","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fbuilding-threat-actor-profile-from-osint\u002FSKILL.md",true,[81,87,91,95,100,104],{"path":82,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":85,"sourceHtmlUrl":86},"agents\u002Fopenai.yaml","REFERENCE","参考文档",102,"https:\u002F\u002Fgithub.com\u002FVortex375\u002Fseraph\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fcodebase-design\u002Fagents\u002Fopenai.yaml",{"path":88,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":89,"sourceHtmlUrl":90},"DEEPENING.md",2553,"https:\u002F\u002Fgithub.com\u002FVortex375\u002Fseraph\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fcodebase-design\u002FDEEPENING.md",{"path":92,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":93,"sourceHtmlUrl":94},"DESIGN-IT-TWICE.md",2665,"https:\u002F\u002Fgithub.com\u002FVortex375\u002Fseraph\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fcodebase-design\u002FDESIGN-IT-TWICE.md",{"path":96,"resourceType":96,"resourceTypeDesc":97,"sizeBytes":98,"sourceHtmlUrl":99},"LICENSE","许可证",11255,"https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fbuilding-threat-actor-profile-from-osint\u002FLICENSE",{"path":101,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":102,"sourceHtmlUrl":103},"references\u002Fapi-reference.md",1839,"https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fbuilding-threat-actor-profile-from-osint\u002Freferences\u002Fapi-reference.md",{"path":105,"resourceType":106,"resourceTypeDesc":107,"sizeBytes":108,"sourceHtmlUrl":109},"scripts\u002Fagent.py","SCRIPT","脚本",6859,"https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fbuilding-threat-actor-profile-from-osint\u002Fscripts\u002Fagent.py",[111,137,161,188,214,241],{"skillNo":112,"name":113,"nameZh":6,"description":114,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":115,"categories":116,"keywords":118,"publishedAt":39},"01M6AGDM3HJXTKXX15ZZ0ZVCJ3","verifying-build-provenance-with-slsa-sigstore","Verifies artifact signatures and SLSA provenance using Sigstore's cosign (verify, verify-attestation, verify-blob-attestation) and slsa-verifier (verify-artifact), enforcing keyless OIDC builder identity and source repo against SLSA Build levels. Use in CI\u002FCD before deploying artifacts, when consuming third-party attestations, establishing a SLSA Build L3 pipeline, or confirming provenance during incident response or admission control.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fverifying-build-provenance-with-slsa-sigstore\u002FSKILL.md",[117],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[119,120,121,122,123,26,124,125,126,30,127,128,129,130,131,132,133,134,135,136],"sigstore","provenance","slsa","verifying build provenance with slsa sigstore","security","incident response","identity","pr","artifacts","ci","supply-chain","pipeline","supply-chain-security","t1195","attestation","code-signing","cosign","keyless",{"skillNo":138,"name":139,"nameZh":6,"description":140,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":141,"categories":142,"keywords":144,"publishedAt":39},"01M6AGDGBPWYVZ2F11GFKJ4HZ9","validating-tpm-measured-boot-attestation","Verifies TPM 2.0 measured-boot integrity and remote attestation with tpm2-tools -- reading PCRs (tpm2_pcrread), replaying the boot event log, generating and checking signed quotes (tpm2_quote\u002Ftpm2_checkquote), and sealing secrets to a PCR policy. Use to confirm a system booted trusted firmware\u002Fkernel for Zero Trust device posture, detect boot-chain tampering via PCR drift, or build a golden-value baseline for fleet attestation.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fvalidating-tpm-measured-boot-attestation\u002FSKILL.md",[143],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[145,133,146,147,123,148,26,126,149,150,151,152,153,154,155,156,157,158,159,160],"boot","TPM","validating tpm measured boot attestation","policy","verification","ZeRO","firmware","Tools","measured-boot","PCR","integrity","secrets","remote-attestation","tpm2-tools","integrity-verification","trusted-computing",{"skillNo":162,"name":163,"nameZh":6,"description":164,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":165,"categories":166,"keywords":171,"publishedAt":39},"01M6AGDCW0Y4FXZ3362GT1941M","validating-backup-integrity-for-recovery","Validates backup integrity through cryptographic hash verification, automated restore testing, corruption detection, and recoverability checks to confirm backups are reliable for disaster recovery and ransomware response. Use before relying on backups for recovery, when building post-backup validation pipelines, auditing backup infrastructure for compliance, or checking immutable\u002Fair-gapped backups for silent corruption or tampering.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fvalidating-backup-integrity-for-recovery\u002FSKILL.md",[167,170],{"categoryNo":168,"categoryName":169,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[155,172,173,174,175,26,29,176,149,177,178,179,180,181,182,183,184,185,186,187],"backup","recovery","validating backup integrity for recovery","testing","validation","compliance","hash-verification","incident-response","ransomware","cryptocurrency","detection","t1078","t1490","immutable","disaster-recovery","restore-testing",{"skillNo":189,"name":190,"nameZh":6,"description":191,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":192,"categories":193,"keywords":195,"publishedAt":39},"01M6AGD9GBG2KZ336AE763J3WH","triaging-windows-with-kape","Runs KAPE (Kroll Artifact Parser and Extractor) to collect targeted forensic artifacts (registry hives, $MFT, event logs, prefetch, browser data) via Targets and parse them with Modules wrapping Eric Zimmerman's EZ Tools (PECmd, MFTECmd, RECmd). Use during early incident containment\u002Ftriage when full disk imaging is impractical but a defensible, parseable Windows artifact set is needed quickly, including at-scale remote collection.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Ftriaging-windows-with-kape\u002FSKILL.md",[194],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[196,197,198,26,199,200,201,202,203,204,205,206,207,208,209,210,152,211,212,213],"windows","kape","triaging windows with kape","registry","browser","logs","windows-forensics","dfir","mft","mftecmd","data","prefetch","eric-zimmerman","digital-forensics","SET","collection","pecmd","artifact-collection",{"skillNo":215,"name":216,"nameZh":6,"description":217,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":218,"categories":219,"keywords":221,"publishedAt":39},"01M6AGD5PW5J4EVZM958WD74ZQ","triaging-vulnerabilities-with-ssvc-framework","Triages and prioritizes vulnerabilities with CISA's Stakeholder-Specific Vulnerability Categorization (SSVC) decision tree, weighing exploitation status (via the CISA KEV catalog and FIRST EPSS API), technical impact, automatability, and mission prevalence to output Track\u002FTrack*\u002FAttend\u002FAct decisions. Use when prioritizing vulnerability scan results (OpenVAS, Nessus, Qualys) for remediation planning beyond raw CVSS scores.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Ftriaging-vulnerabilities-with-ssvc-framework\u002FSKILL.md",[220],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[222,223,224,26,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240],"vulnerabilities","framework","triaging vulnerabilities with ssvc framework","status","planning","CISA","vulnerability-management","risk-management","nessus","qualys","openvas","cvss","remediation","risk","vulnerability","api","prioritization","ssvc","decision-tree",{"skillNo":242,"name":243,"nameZh":6,"description":244,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":245,"categories":246,"keywords":248,"publishedAt":39},"01M6AGD24TTQQM4CXG69E3B9TJ","triaging-security-incident","Performs initial triage of security incidents using the NIST SP 800-61r3 and SANS PICERL frameworks, classifying incident type, assigning priority by business impact, and routing to the appropriate response team. Use when a SIEM\u002FEDR alert needs human classification, concurrent alerts must be prioritized, or a user report or threat-intel IOC match requires initial incident categorization.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Ftriaging-security-incident\u002FSKILL.md",[247],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[123,249,26,250,251,252,253,254,255,256,257,183,258,184,259,260,261,262,263,264],"triaging security incident","siem","file","ioc","soc","NIST-800-61","NIST","severity","edr","execution","analysis","classification","severity-classification","incident-triage","SANS-PICERL","SOC-operations"]