[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6AE0KRCZ5EYHAR938E7Z7TA":3,"skill-same:01M6AE0KRCZ5EYHAR938E7Z7TA":117},{"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":18,"publishedAt":36,"linkOnly":37,"markdownContent":38,"markdownBody":39,"frontMatter":40,"refName":54,"commitSha":55,"skillDirectory":56,"forksCount":57,"repositoryHtmlUrl":58,"repositoryHomepageUrl":59,"ownerHtmlUrl":60,"ownerBlogUrl":61,"ownerDescription":62,"updatedAt":63,"install":64,"resources":77},"01M6AE0KRCZ5EYHAR938E7Z7TA","building-threat-intelligence-enrichment-in-splunk",null,"Build automated IOC enrichment pipelines in Splunk Enterprise Security by ingesting threat feeds into KV Store collections and correlating them against security events via lookup tables, modular inputs, and the Threat Intelligence Framework. Use when wiring threat intel into Splunk correlation searches to flag IOC matches and cut SOC triage time.","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-intelligence-enrichment-in-splunk\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35],"building threat intelligence enrichment in splunk","threat intelligence","enrichment","splunk","ioc","lookup","correlation","enterprise-security","Enterprise","soc","security","threat-intelligence","framework","modular","triage","siem","cybersecurity","2026-11-10 10:12:30",false,"---\nname: building-threat-intelligence-enrichment-in-splunk\ndescription: Build automated IOC enrichment pipelines in Splunk Enterprise Security by ingesting threat feeds into KV Store collections and correlating them against security events via lookup tables, modular inputs, and the Threat Intelligence Framework. Use when wiring threat intel into Splunk correlation searches to flag IOC matches and cut SOC triage time.\ndomain: cybersecurity\nsubdomain: soc-operations\ntags:\n- splunk\n- threat-intelligence\n- enrichment\n- ioc\n- lookup\n- siem\n- soc\n- enterprise-security\nversion: '1.0'\nauthor: mahipal\nlicense: Apache-2.0\nnist_csf:\n- DE.CM-01\n- DE.AE-02\n- RS.MA-01\n- DE.AE-06\nmitre_attack:\n- T1071\n- T1105\n- T1041\n---\n\n# Building Threat Intelligence Enrichment in Splunk\n\n## Overview\n\nSplunk's Threat Intelligence Framework in Enterprise Security enables SOC teams to automatically correlate indicators of compromise (IOCs) against security events. The framework ingests threat feeds, normalizes indicators into KV Store collections, and uses lookup-based correlation searches to flag matching events. Splunk Threat Intelligence Management centralizes collection, normalization, and enrichment from multiple sources, reducing triage time by providing analysts with immediate context.\n\n\n## When to Use\n\n- When deploying or configuring building threat intelligence enrichment in splunk 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- Splunk Enterprise Security (ES) 7.x or later\n- Threat Intelligence Management add-on or Threat Intelligence Framework\n- API keys for external threat intelligence feeds (MISP, OTX, VirusTotal, AbuseIPDB)\n- KV Store enabled and properly configured\n- Admin access for modular input configuration\n\n## Threat Intelligence Framework Architecture\n\n```\nExternal TI Sources (STIX\u002FTAXII, CSV, API)\n    |\n    v\nModular Inputs (download and parse feeds)\n    |\n    v\nKV Store Collections (normalized IOC storage)\n    |-- ip_intel\n    |-- domain_intel\n    |-- file_intel\n    |-- url_intel\n    |-- email_intel\n    |\n    v\nThreat Intelligence Lookups\n    |\n    v\nCorrelation Searches (match events against IOCs)\n    |\n    v\nNotable Events (enriched with TI context)\n```\n\n## Configuring Threat Intelligence Sources\n\n### STIX\u002FTAXII Feed Integration\n\n```conf\n# inputs.conf - TAXII feed configuration\n[threatlist:\u002F\u002Ftaxii_feed_example]\ndescription = TAXII 2.1 Threat Feed\ntype = taxii\nurl = https:\u002F\u002Fthreatfeed.example.com\u002Ftaxii2\u002F\ncollection = threat-indicators-v21\npolling_interval = 3600\napi_key = \u003Cencrypted_api_key>\ndisabled = false\n```\n\n### CSV-Based Threat List\n\n```conf\n# inputs.conf - CSV threat list\n[threatlist:\u002F\u002Fcustom_blocklist]\ndescription = Internal threat blocklist\ntype = csv\nurl = https:\u002F\u002Finternal.company.com\u002Fthreat-feeds\u002Fblocklist.csv\npolling_interval = 1800\ndisabled = false\n```\n\n### Custom Modular Input for API-Based Feeds\n\n```python\n# bin\u002Fthreatfeed_otx.py - OTX AlienVault feed collector\nimport json\nimport sys\nimport requests\nfrom splunklib.modularinput import Script, Scheme, Argument, Event\n\n\nclass OTXFeedInput(Script):\n    def get_scheme(self):\n        scheme = Scheme(\"OTX AlienVault Feed\")\n        scheme.description = \"Collects IOCs from AlienVault OTX\"\n        scheme.use_external_validation = False\n        scheme.streaming_mode = Scheme.streaming_mode_xml\n\n        api_key_arg = Argument(\"api_key\")\n        api_key_arg.data_type = Argument.data_type_string\n        api_key_arg.required_on_create = True\n        scheme.add_argument(api_key_arg)\n\n        pulse_days_arg = Argument(\"pulse_days\")\n        pulse_days_arg.data_type = Argument.data_type_number\n        pulse_days_arg.required_on_create = False\n        scheme.add_argument(pulse_days_arg)\n\n        return scheme\n\n    def stream_events(self, inputs, ew):\n        for input_name, input_item in inputs.inputs.items():\n            api_key = input_item[\"api_key\"]\n            pulse_days = int(input_item.get(\"pulse_days\", 30))\n\n            headers = {\"X-OTX-API-KEY\": api_key}\n            url = f\"https:\u002F\u002Fotx.alienvault.com\u002Fapi\u002Fv1\u002Fpulses\u002Fsubscribed?modified_since={pulse_days}d\"\n\n            try:\n                response = requests.get(url, headers=headers, timeout=60)\n                response.raise_for_status()\n                data = response.json()\n\n                for pulse in data.get(\"results\", []):\n                    for indicator in pulse.get(\"indicators\", []):\n                        event = Event()\n                        event.stanza = input_name\n                        event.data = json.dumps({\n                            \"indicator\": indicator[\"indicator\"],\n                            \"type\": indicator[\"type\"],\n                            \"pulse_name\": pulse[\"name\"],\n                            \"pulse_id\": pulse[\"id\"],\n                            \"description\": indicator.get(\"description\", \"\"),\n                            \"created\": indicator.get(\"created\", \"\"),\n                            \"threat_source\": \"OTX\",\n                            \"confidence\": pulse.get(\"adversary\", \"unknown\"),\n                        })\n                        ew.write_event(event)\n            except requests.RequestException as e:\n                ew.log(\"ERROR\", f\"OTX feed collection failed: {str(e)}\")\n\n\nif __name__ == \"__main__\":\n    sys.exit(OTXFeedInput().run(sys.argv))\n```\n\n## Building Enrichment Lookups\n\n### KV Store Collection Configuration\n\n```conf\n# collections.conf\n[ip_threat_intel]\nfield.ip = string\nfield.threat_type = string\nfield.confidence = number\nfield.source = string\nfield.description = string\nfield.first_seen = time\nfield.last_seen = time\nfield.severity = string\n\n[domain_threat_intel]\nfield.domain = string\nfield.threat_type = string\nfield.confidence = number\nfield.source = string\nfield.whois_registrar = string\nfield.whois_created = string\n\n[file_hash_intel]\nfield.file_hash = string\nfield.hash_type = string\nfield.malware_family = string\nfield.confidence = number\nfield.source = string\nfield.detection_names = string\n```\n\n### Lookup Table Definitions\n\n```conf\n# transforms.conf\n[ip_threat_intel_lookup]\nexternal_type = kvstore\ncollection = ip_threat_intel\nfields_list = ip, threat_type, confidence, source, description, severity\n\n[domain_threat_intel_lookup]\nexternal_type = kvstore\ncollection = domain_threat_intel\nfields_list = domain, threat_type, confidence, source\n\n[file_hash_intel_lookup]\nexternal_type = kvstore\ncollection = file_hash_intel\nfields_list = file_hash, hash_type, malware_family, confidence, source\n```\n\n## Enrichment Correlation Searches\n\n### IP-Based Threat Intelligence Correlation\n\n```spl\n| tstats summariesonly=true count from datamodel=Network_Traffic\n    where All_Traffic.action=allowed\n    by All_Traffic.src_ip, All_Traffic.dest_ip, All_Traffic.dest_port, _time span=5m\n| rename \"All_Traffic.*\" as *\n| lookup ip_threat_intel_lookup ip as dest_ip OUTPUT threat_type, confidence, source as ti_source, severity as ti_severity\n| where isnotnull(threat_type)\n| lookup asset_lookup ip as src_ip OUTPUT asset_name, asset_owner, asset_priority\n| eval urgency=case(\n    ti_severity==\"critical\" AND asset_priority==\"critical\", \"critical\",\n    ti_severity==\"high\" OR asset_priority==\"critical\", \"high\",\n    ti_severity==\"medium\", \"medium\",\n    true(), \"low\"\n)\n| eval description=\"Connection from \".src_ip.\" (\".asset_name.\") to known malicious IP \".dest_ip.\" (\".threat_type.\") - Source: \".ti_source\n```\n\n### Domain-Based Threat Intelligence Correlation\n\n```spl\nindex=dns sourcetype=stream:dns query_type=A OR query_type=AAAA\n| lookup domain_threat_intel_lookup domain as query OUTPUT threat_type as domain_threat, confidence as domain_confidence, source as ti_source\n| where isnotnull(domain_threat) AND domain_confidence > 70\n| stats count dc(src_ip) as unique_sources values(src_ip) as source_ips by query, domain_threat, ti_source\n| eval severity=case(domain_confidence > 90, \"critical\", domain_confidence > 70, \"high\", true(), \"medium\")\n| eval description=\"DNS queries to malicious domain \".query.\" from \".unique_sources.\" hosts - Threat: \".domain_threat\n```\n\n### File Hash Correlation\n\n```spl\nindex=endpoint sourcetype=sysmon EventCode=1\n| lookup file_hash_intel_lookup file_hash as Hashes OUTPUT malware_family, confidence as hash_confidence, source as ti_source\n| where isnotnull(malware_family)\n| stats count values(ParentCommandLine) as parent_commands by Computer, User, Image, malware_family, ti_source\n| eval severity=\"critical\"\n| eval description=\"Known malware \".malware_family.\" executed on \".Computer.\" by \".User.\" - Binary: \".Image\n```\n\n## Multi-Source Enrichment Pipeline\n\n```spl\nindex=firewall sourcetype=pan:traffic action=allowed\n| eval indicators=mvappend(src_ip, dest_ip)\n| mvexpand indicators\n| lookup ip_threat_intel_lookup ip as indicators OUTPUT threat_type as ip_threat, confidence as ip_confidence, source as ip_ti_source\n| lookup geo_ip_lookup ip as indicators OUTPUT country, city, latitude, longitude\n| lookup whois_lookup ip as indicators OUTPUT org as ip_org, asn as ip_asn\n| where isnotnull(ip_threat)\n| stats count\n    values(ip_threat) as threat_types\n    values(ip_ti_source) as intel_sources\n    values(country) as countries\n    values(ip_org) as organizations\n    latest(_time) as last_seen\n    earliest(_time) as first_seen\n    by src_ip, dest_ip, dest_port\n| eval enrichment_context=\"Threat: \".mvjoin(threat_types, \", \").\" | Geo: \".mvjoin(countries, \", \").\" | Org: \".mvjoin(organizations, \", \")\n```\n\n## Threat Intelligence Dashboards\n\n### IOC Coverage Statistics\n\n```spl\n| inputlookup ip_threat_intel_lookup\n| stats count by source, threat_type\n| sort -count\n| head 20\n```\n\n### Feed Freshness Monitoring\n\n```spl\n| inputlookup ip_threat_intel_lookup\n| eval age_days=round((now() - strptime(last_seen, \"%Y-%m-%dT%H:%M:%S\")) \u002F 86400, 0)\n| stats count avg(age_days) as avg_age_days max(age_days) as max_age_days by source\n| eval status=case(avg_age_days > 30, \"STALE\", avg_age_days > 7, \"AGING\", true(), \"FRESH\")\n```\n\n## References\n\n- [Splunk Threat Intelligence Framework Documentation](https:\u002F\u002Fhelp.splunk.com\u002Fen\u002Fsplunk-enterprise-security-8\u002Fadminister\u002F8.2\u002Fthreat-intelligence\u002Foverview-of-threat-intelligence-in-splunk-enterprise-security)\n- [Splunk Lantern - Threat Intelligence Enrichment](https:\u002F\u002Flantern.splunk.com\u002FSecurity\u002FUCE\u002FGuided_Insights\u002FThreat_intelligence)\n- [Integrated Intelligence Enrichment - Splunk Blog](https:\u002F\u002Fwww.splunk.com\u002Fen_us\u002Fblog\u002Fsecurity\u002Fintegrated-intelligence-enrichment-with-threat-intelligence-management.html)\n- [Cisco Talos Threat Intelligence in Splunk](https:\u002F\u002Fwww.splunk.com\u002Fen_us\u002Fblog\u002Fsecurity\u002Fcisco-talos-threat-intelligence-splunk-security.html)\n","# Building Threat Intelligence Enrichment in Splunk\n\n## Overview\n\nSplunk's Threat Intelligence Framework in Enterprise Security enables SOC teams to automatically correlate indicators of compromise (IOCs) against security events. The framework ingests threat feeds, normalizes indicators into KV Store collections, and uses lookup-based correlation searches to flag matching events. Splunk Threat Intelligence Management centralizes collection, normalization, and enrichment from multiple sources, reducing triage time by providing analysts with immediate context.\n\n\n## When to Use\n\n- When deploying or configuring building threat intelligence enrichment in splunk 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- Splunk Enterprise Security (ES) 7.x or later\n- Threat Intelligence Management add-on or Threat Intelligence Framework\n- API keys for external threat intelligence feeds (MISP, OTX, VirusTotal, AbuseIPDB)\n- KV Store enabled and properly configured\n- Admin access for modular input configuration\n\n## Threat Intelligence Framework Architecture\n\n```\nExternal TI Sources (STIX\u002FTAXII, CSV, API)\n    |\n    v\nModular Inputs (download and parse feeds)\n    |\n    v\nKV Store Collections (normalized IOC storage)\n    |-- ip_intel\n    |-- domain_intel\n    |-- file_intel\n    |-- url_intel\n    |-- email_intel\n    |\n    v\nThreat Intelligence Lookups\n    |\n    v\nCorrelation Searches (match events against IOCs)\n    |\n    v\nNotable Events (enriched with TI context)\n```\n\n## Configuring Threat Intelligence Sources\n\n### STIX\u002FTAXII Feed Integration\n\n```conf\n# inputs.conf - TAXII feed configuration\n[threatlist:\u002F\u002Ftaxii_feed_example]\ndescription = TAXII 2.1 Threat Feed\ntype = taxii\nurl = https:\u002F\u002Fthreatfeed.example.com\u002Ftaxii2\u002F\ncollection = threat-indicators-v21\npolling_interval = 3600\napi_key = \u003Cencrypted_api_key>\ndisabled = false\n```\n\n### CSV-Based Threat List\n\n```conf\n# inputs.conf - CSV threat list\n[threatlist:\u002F\u002Fcustom_blocklist]\ndescription = Internal threat blocklist\ntype = csv\nurl = https:\u002F\u002Finternal.company.com\u002Fthreat-feeds\u002Fblocklist.csv\npolling_interval = 1800\ndisabled = false\n```\n\n### Custom Modular Input for API-Based Feeds\n\n```python\n# bin\u002Fthreatfeed_otx.py - OTX AlienVault feed collector\nimport json\nimport sys\nimport requests\nfrom splunklib.modularinput import Script, Scheme, Argument, Event\n\n\nclass OTXFeedInput(Script):\n    def get_scheme(self):\n        scheme = Scheme(\"OTX AlienVault Feed\")\n        scheme.description = \"Collects IOCs from AlienVault OTX\"\n        scheme.use_external_validation = False\n        scheme.streaming_mode = Scheme.streaming_mode_xml\n\n        api_key_arg = Argument(\"api_key\")\n        api_key_arg.data_type = Argument.data_type_string\n        api_key_arg.required_on_create = True\n        scheme.add_argument(api_key_arg)\n\n        pulse_days_arg = Argument(\"pulse_days\")\n        pulse_days_arg.data_type = Argument.data_type_number\n        pulse_days_arg.required_on_create = False\n        scheme.add_argument(pulse_days_arg)\n\n        return scheme\n\n    def stream_events(self, inputs, ew):\n        for input_name, input_item in inputs.inputs.items():\n            api_key = input_item[\"api_key\"]\n            pulse_days = int(input_item.get(\"pulse_days\", 30))\n\n            headers = {\"X-OTX-API-KEY\": api_key}\n            url = f\"https:\u002F\u002Fotx.alienvault.com\u002Fapi\u002Fv1\u002Fpulses\u002Fsubscribed?modified_since={pulse_days}d\"\n\n            try:\n                response = requests.get(url, headers=headers, timeout=60)\n                response.raise_for_status()\n                data = response.json()\n\n                for pulse in data.get(\"results\", []):\n                    for indicator in pulse.get(\"indicators\", []):\n                        event = Event()\n                        event.stanza = input_name\n                        event.data = json.dumps({\n                            \"indicator\": indicator[\"indicator\"],\n                            \"type\": indicator[\"type\"],\n                            \"pulse_name\": pulse[\"name\"],\n                            \"pulse_id\": pulse[\"id\"],\n                            \"description\": indicator.get(\"description\", \"\"),\n                            \"created\": indicator.get(\"created\", \"\"),\n                            \"threat_source\": \"OTX\",\n                            \"confidence\": pulse.get(\"adversary\", \"unknown\"),\n                        })\n                        ew.write_event(event)\n            except requests.RequestException as e:\n                ew.log(\"ERROR\", f\"OTX feed collection failed: {str(e)}\")\n\n\nif __name__ == \"__main__\":\n    sys.exit(OTXFeedInput().run(sys.argv))\n```\n\n## Building Enrichment Lookups\n\n### KV Store Collection Configuration\n\n```conf\n# collections.conf\n[ip_threat_intel]\nfield.ip = string\nfield.threat_type = string\nfield.confidence = number\nfield.source = string\nfield.description = string\nfield.first_seen = time\nfield.last_seen = time\nfield.severity = string\n\n[domain_threat_intel]\nfield.domain = string\nfield.threat_type = string\nfield.confidence = number\nfield.source = string\nfield.whois_registrar = string\nfield.whois_created = string\n\n[file_hash_intel]\nfield.file_hash = string\nfield.hash_type = string\nfield.malware_family = string\nfield.confidence = number\nfield.source = string\nfield.detection_names = string\n```\n\n### Lookup Table Definitions\n\n```conf\n# transforms.conf\n[ip_threat_intel_lookup]\nexternal_type = kvstore\ncollection = ip_threat_intel\nfields_list = ip, threat_type, confidence, source, description, severity\n\n[domain_threat_intel_lookup]\nexternal_type = kvstore\ncollection = domain_threat_intel\nfields_list = domain, threat_type, confidence, source\n\n[file_hash_intel_lookup]\nexternal_type = kvstore\ncollection = file_hash_intel\nfields_list = file_hash, hash_type, malware_family, confidence, source\n```\n\n## Enrichment Correlation Searches\n\n### IP-Based Threat Intelligence Correlation\n\n```spl\n| tstats summariesonly=true count from datamodel=Network_Traffic\n    where All_Traffic.action=allowed\n    by All_Traffic.src_ip, All_Traffic.dest_ip, All_Traffic.dest_port, _time span=5m\n| rename \"All_Traffic.*\" as *\n| lookup ip_threat_intel_lookup ip as dest_ip OUTPUT threat_type, confidence, source as ti_source, severity as ti_severity\n| where isnotnull(threat_type)\n| lookup asset_lookup ip as src_ip OUTPUT asset_name, asset_owner, asset_priority\n| eval urgency=case(\n    ti_severity==\"critical\" AND asset_priority==\"critical\", \"critical\",\n    ti_severity==\"high\" OR asset_priority==\"critical\", \"high\",\n    ti_severity==\"medium\", \"medium\",\n    true(), \"low\"\n)\n| eval description=\"Connection from \".src_ip.\" (\".asset_name.\") to known malicious IP \".dest_ip.\" (\".threat_type.\") - Source: \".ti_source\n```\n\n### Domain-Based Threat Intelligence Correlation\n\n```spl\nindex=dns sourcetype=stream:dns query_type=A OR query_type=AAAA\n| lookup domain_threat_intel_lookup domain as query OUTPUT threat_type as domain_threat, confidence as domain_confidence, source as ti_source\n| where isnotnull(domain_threat) AND domain_confidence > 70\n| stats count dc(src_ip) as unique_sources values(src_ip) as source_ips by query, domain_threat, ti_source\n| eval severity=case(domain_confidence > 90, \"critical\", domain_confidence > 70, \"high\", true(), \"medium\")\n| eval description=\"DNS queries to malicious domain \".query.\" from \".unique_sources.\" hosts - Threat: \".domain_threat\n```\n\n### File Hash Correlation\n\n```spl\nindex=endpoint sourcetype=sysmon EventCode=1\n| lookup file_hash_intel_lookup file_hash as Hashes OUTPUT malware_family, confidence as hash_confidence, source as ti_source\n| where isnotnull(malware_family)\n| stats count values(ParentCommandLine) as parent_commands by Computer, User, Image, malware_family, ti_source\n| eval severity=\"critical\"\n| eval description=\"Known malware \".malware_family.\" executed on \".Computer.\" by \".User.\" - Binary: \".Image\n```\n\n## Multi-Source Enrichment Pipeline\n\n```spl\nindex=firewall sourcetype=pan:traffic action=allowed\n| eval indicators=mvappend(src_ip, dest_ip)\n| mvexpand indicators\n| lookup ip_threat_intel_lookup ip as indicators OUTPUT threat_type as ip_threat, confidence as ip_confidence, source as ip_ti_source\n| lookup geo_ip_lookup ip as indicators OUTPUT country, city, latitude, longitude\n| lookup whois_lookup ip as indicators OUTPUT org as ip_org, asn as ip_asn\n| where isnotnull(ip_threat)\n| stats count\n    values(ip_threat) as threat_types\n    values(ip_ti_source) as intel_sources\n    values(country) as countries\n    values(ip_org) as organizations\n    latest(_time) as last_seen\n    earliest(_time) as first_seen\n    by src_ip, dest_ip, dest_port\n| eval enrichment_context=\"Threat: \".mvjoin(threat_types, \", \").\" | Geo: \".mvjoin(countries, \", \").\" | Org: \".mvjoin(organizations, \", \")\n```\n\n## Threat Intelligence Dashboards\n\n### IOC Coverage Statistics\n\n```spl\n| inputlookup ip_threat_intel_lookup\n| stats count by source, threat_type\n| sort -count\n| head 20\n```\n\n### Feed Freshness Monitoring\n\n```spl\n| inputlookup ip_threat_intel_lookup\n| eval age_days=round((now() - strptime(last_seen, \"%Y-%m-%dT%H:%M:%S\")) \u002F 86400, 0)\n| stats count avg(age_days) as avg_age_days max(age_days) as max_age_days by source\n| eval status=case(avg_age_days > 30, \"STALE\", avg_age_days > 7, \"AGING\", true(), \"FRESH\")\n```\n\n## References\n\n- [Splunk Threat Intelligence Framework Documentation](https:\u002F\u002Fhelp.splunk.com\u002Fen\u002Fsplunk-enterprise-security-8\u002Fadminister\u002F8.2\u002Fthreat-intelligence\u002Foverview-of-threat-intelligence-in-splunk-enterprise-security)\n- [Splunk Lantern - Threat Intelligence Enrichment](https:\u002F\u002Flantern.splunk.com\u002FSecurity\u002FUCE\u002FGuided_Insights\u002FThreat_intelligence)\n- [Integrated Intelligence Enrichment - Splunk Blog](https:\u002F\u002Fwww.splunk.com\u002Fen_us\u002Fblog\u002Fsecurity\u002Fintegrated-intelligence-enrichment-with-threat-intelligence-management.html)\n- [Cisco Talos Threat Intelligence in Splunk](https:\u002F\u002Fwww.splunk.com\u002Fen_us\u002Fblog\u002Fsecurity\u002Fcisco-talos-threat-intelligence-splunk-security.html)\n",{"name":5,"tags":41,"author":42,"domain":35,"license":15,"version":43,"nist_csf":44,"subdomain":49,"description":7,"mitre_attack":50},[22,30,21,23,24,34,28,26],"mahipal","1.0",[45,46,47,48],"DE.CM-01","DE.AE-02","RS.MA-01","DE.AE-06","soc-operations",[51,52,53],"T1071","T1105","T1041","main","54a798831d2266a3ca61ce68a7acb80b81160d57","skills\u002Fbuilding-threat-intelligence-enrichment-in-splunk",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":65,"prompt":75,"zipAvailable":76},[66,69,72],{"tool":67,"command":68},"npx","npx skills add mukul975\u002FAnthropic-Cybersecurity-Skills --skill building-threat-intelligence-enrichment-in-splunk",{"tool":70,"command":71},"bunx","bunx skills add mukul975\u002FAnthropic-Cybersecurity-Skills --skill building-threat-intelligence-enrichment-in-splunk",{"tool":73,"command":74},"pnpm","pnpm dlx skills add mukul975\u002FAnthropic-Cybersecurity-Skills --skill building-threat-intelligence-enrichment-in-splunk","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fbuilding-threat-intelligence-enrichment-in-splunk\u002FSKILL.md",true,[78,84,90,95,99,103,107,113],{"path":79,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":82,"sourceHtmlUrl":83},"agents\u002Fopenai.yaml","REFERENCE","参考文档",145,"https:\u002F\u002Fgithub.com\u002FVortex375\u002Fseraph\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fgrill-with-docs\u002Fagents\u002Fopenai.yaml",{"path":85,"resourceType":86,"resourceTypeDesc":87,"sizeBytes":88,"sourceHtmlUrl":89},"assets\u002Ftemplate.md","ASSET","资产文件",1333,"https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fbuilding-threat-intelligence-enrichment-in-splunk\u002Fassets\u002Ftemplate.md",{"path":91,"resourceType":91,"resourceTypeDesc":92,"sizeBytes":93,"sourceHtmlUrl":94},"LICENSE","许可证",11255,"https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fbuilding-threat-intelligence-enrichment-in-splunk\u002FLICENSE",{"path":96,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":97,"sourceHtmlUrl":98},"references\u002Fapi-reference.md",2008,"https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fbuilding-threat-intelligence-enrichment-in-splunk\u002Freferences\u002Fapi-reference.md",{"path":100,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":101,"sourceHtmlUrl":102},"references\u002Fstandards.md",1416,"https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fbuilding-threat-intelligence-enrichment-in-splunk\u002Freferences\u002Fstandards.md",{"path":104,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":105,"sourceHtmlUrl":106},"references\u002Fworkflows.md",1714,"https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fbuilding-threat-intelligence-enrichment-in-splunk\u002Freferences\u002Fworkflows.md",{"path":108,"resourceType":109,"resourceTypeDesc":110,"sizeBytes":111,"sourceHtmlUrl":112},"scripts\u002Fagent.py","SCRIPT","脚本",6688,"https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fbuilding-threat-intelligence-enrichment-in-splunk\u002Fscripts\u002Fagent.py",{"path":114,"resourceType":109,"resourceTypeDesc":110,"sizeBytes":115,"sourceHtmlUrl":116},"scripts\u002Fprocess.py",10310,"https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fbuilding-threat-intelligence-enrichment-in-splunk\u002Fscripts\u002Fprocess.py",[118,148,172,200,226,252],{"skillNo":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":122,"categories":123,"keywords":129,"publishedAt":36},"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",[124],{"categoryNo":125,"categoryName":126,"taxonomyType":127,"taxonomyTypeDesc":128},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[130,131,132,133,29,35,134,135,136,137,138,139,140,141,142,143,144,145,146,147],"sigstore","provenance","slsa","verifying build provenance with slsa sigstore","incident response","identity","pr","code","artifacts","ci","supply-chain","pipeline","supply-chain-security","t1195","attestation","code-signing","cosign","keyless",{"skillNo":149,"name":150,"nameZh":6,"description":151,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":152,"categories":153,"keywords":155,"publishedAt":36},"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",[154],{"categoryNo":125,"categoryName":126,"taxonomyType":127,"taxonomyTypeDesc":128},[156,144,157,158,29,159,35,136,160,161,162,163,164,165,166,167,168,169,170,171],"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":173,"name":174,"nameZh":6,"description":175,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":176,"categories":177,"keywords":182,"publishedAt":36},"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",[178,181],{"categoryNo":179,"categoryName":180,"taxonomyType":127,"taxonomyTypeDesc":128},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":125,"categoryName":126,"taxonomyType":127,"taxonomyTypeDesc":128},[166,183,184,185,186,35,187,188,160,189,190,191,192,193,194,195,196,197,198,199],"backup","recovery","validating backup integrity for recovery","testing","infrastructure","validation","compliance","hash-verification","incident-response","ransomware","cryptocurrency","detection","t1078","t1490","immutable","disaster-recovery","restore-testing",{"skillNo":201,"name":202,"nameZh":6,"description":203,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":204,"categories":205,"keywords":207,"publishedAt":36},"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",[206],{"categoryNo":125,"categoryName":126,"taxonomyType":127,"taxonomyTypeDesc":128},[208,209,210,35,211,212,213,214,215,216,217,218,219,220,221,222,163,223,224,225],"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":227,"name":228,"nameZh":6,"description":229,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":230,"categories":231,"keywords":233,"publishedAt":36},"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",[232],{"categoryNo":125,"categoryName":126,"taxonomyType":127,"taxonomyTypeDesc":128},[234,31,235,35,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251],"vulnerabilities","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":253,"name":254,"nameZh":6,"description":255,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":256,"categories":257,"keywords":259,"publishedAt":36},"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",[258],{"categoryNo":125,"categoryName":126,"taxonomyType":127,"taxonomyTypeDesc":128},[29,260,35,34,261,23,28,262,263,264,265,195,266,196,267,268,269,270,271,272],"triaging security incident","file","NIST-800-61","NIST","severity","edr","execution","analysis","classification","severity-classification","incident-triage","SANS-PICERL","SOC-operations"]