[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71FS30YKZGV251SPJTB6JCJ":3,"skill-same:01M71FS30YKZGV251SPJTB6JCJ":81},{"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":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":54,"commitSha":55,"skillDirectory":56,"forksCount":14,"repositoryHtmlUrl":57,"repositoryHomepageUrl":6,"ownerHtmlUrl":58,"ownerBlogUrl":6,"ownerDescription":59,"updatedAt":60,"install":61,"resources":74},"01M71FS30YKZGV251SPJTB6JCJ","traffic-analysis-netflow-analyze",null,"Collect and analyse NetFlow v5\u002Fv9\u002FIPFIX records with nfdump, ntopng, and ElastiFlow to detect anomalous traffic volumes, lateral movement, and data exfiltration.","DCx7C5\u002Fai-marketplace","DCx7C5","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F42419559?v=4","01M71C01G2AZV3NTNGWAWSHJPP","DC","01M71C01GQW6G50S2BYMS7PP3E",0,"MIT","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fnetwork\u002Ftraffic\u002Fanalysis\u002Fnetflow\u002Fanalyze\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"traffic analysis netflow analyze","netflow","analysis","analyze","traffic","traffic analysis","records","elastiflow","ntopng","nfdump","anomaly","with","detect","cybersecurity","cm","ipfix","network-traffic","anomaly-detection","exfiltration","collect","2026-11-10 10:12:30",false,"---\nname: traffic-analysis-netflow-analyze\ndescription: >\n  Collect and analyse NetFlow v5\u002Fv9\u002FIPFIX records with nfdump, ntopng, and ElastiFlow to detect anomalous traffic volumes, lateral movement, and data exfiltration.\ndomain: cybersecurity\nsubdomain: network-traffic-analysis\ntags:\n  - netflow\n  - ipfix\n  - nfdump\n  - ntopng\n  - elastiflow\n  - anomaly-detection\nnist_csf:\n  - DE.CM-01\n  - DE.AE-03\nmitre:\n  - T1071\n  - T1048\ncapec: []\n---\n\n## Overview\n\nCollect and analyse NetFlow v5\u002Fv9\u002FIPFIX records with nfdump, ntopng, and ElastiFlow to detect anomalous traffic volumes, lateral movement, and data exfiltration.\ndomain: cybersecurity\nsubdomain: network-traffic-analysis\ntags:\n  - netflow\n  - ipfix\n  - nfdump\n  - ntopng\n  - elastiflow\n  - anomaly-detection\nnist_csf:\n  - DE.CM-01\n  - DE.AE-03\nmitre:\n  - T1071\n  - T1048\ncapec: []\n\n## Key Points\n\n- [Content to be added]\n\n## Reference\n\nSee [SKILL taxonomy](..\u002F..\u002FTAXONOMY.md) for more details.\n","## Overview\n\nCollect and analyse NetFlow v5\u002Fv9\u002FIPFIX records with nfdump, ntopng, and ElastiFlow to detect anomalous traffic volumes, lateral movement, and data exfiltration.\ndomain: cybersecurity\nsubdomain: network-traffic-analysis\ntags:\n  - netflow\n  - ipfix\n  - nfdump\n  - ntopng\n  - elastiflow\n  - anomaly-detection\nnist_csf:\n  - DE.CM-01\n  - DE.AE-03\nmitre:\n  - T1071\n  - T1048\ncapec: []\n\n## Key Points\n\n- [Content to be added]\n\n## Reference\n\nSee [SKILL taxonomy](..\u002F..\u002FTAXONOMY.md) for more details.\n",{"name":5,"tags":44,"capec":45,"mitre":46,"domain":32,"nist_csf":49,"subdomain":52,"description":53},[20,34,28,27,26,36],[],[47,48],"T1071","T1048",[50,51],"DE.CM-01","DE.AE-03","network-traffic-analysis","Collect and analyse NetFlow v5\u002Fv9\u002FIPFIX records with nfdump, ntopng, and ElastiFlow to detect anomalous traffic volumes, lateral movement, and data exfiltration.\n","main","a91f1293287ffa9f4f1b8f486cd6e835a1568c84","skills\u002Fnetwork\u002Ftraffic\u002Fanalysis\u002Fnetflow\u002Fanalyze","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace","https:\u002F\u002Fgithub.com\u002FDCx7C5","#Python","2026-09-01 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traffic-analysis-netflow-analyze","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fnetwork\u002Ftraffic\u002Fanalysis\u002Fnetflow\u002Fanalyze\u002FSKILL.md",true,[75],{"path":76,"resourceType":77,"resourceTypeDesc":78,"sizeBytes":79,"sourceHtmlUrl":80},"index.json","REFERENCE","参考文档",672,"https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fnetwork\u002Ftraffic\u002Fanalysis\u002Fnetflow\u002Fanalyze\u002Findex.json",[82,105,126,147,169,185],{"skillNo":83,"name":84,"nameZh":6,"description":85,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":86,"categories":87,"keywords":88,"publishedAt":39},"01M71HAPZ01KQ30RKTB0FFSQ05","services-wmi-persistence-detect","Detect WMI event subscription persistence by enumerating ActiveScriptEventConsumer, CommandLineEventConsumer, and permanent subscriptions in the WMI repository.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fservices\u002Fwmi\u002Fpersistence\u002Fdetect\u002FSKILL.md",[],[89,31,90,91,92,93,33,94,95,96,97,98,99,100,101,102,103,32,104],"services","services wmi persistence detect","wmi","persistence","de","process","activescript","event","subscriptions","commandline-consumer","repository","subscription","event-subscription","t1546.003","forensics","process-forensics",{"skillNo":106,"name":107,"nameZh":6,"description":108,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":109,"categories":110,"keywords":111,"publishedAt":39},"01M71HAK6JTTTS229T17WJMMCG","services-wmi-exec-exploit","Perform lateral movement across Windows networks using WMI-based remote execution techniques including Impacket wmiexec.py, CrackMapExec, and native WMI commands for stealthy post-exploitation during red team engagements.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fservices\u002Fwmi\u002Fexec\u002Fexploit\u002FSKILL.md",[],[112,89,113,91,114,115,23,32,116,21,117,118,119,120,93,121,122,123,124,125],"exploit","services wmi exec exploit","exec","remote","Bash","team","across","crackmapexec","native","command","lateral movement","read","lateral-movement","Impacket",{"skillNo":127,"name":128,"nameZh":6,"description":129,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":130,"categories":131,"keywords":132,"publishedAt":39},"01M71HAG6MHKNQV8KDZKMT4886","registry-artifact-extract","Extract and analyze Windows Registry hives to uncover user activity, installed software, autostart entries, and evidence of system compromise.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fregistry\u002Fartifact\u002Fextract\u002FSKILL.md",[],[133,134,135,136,137,138,32,116,139,21,22,140,93,123,141,142,143,144,145,146],"artifact","registry","registry artifact extract","extract","evidence-collection","artifact-analysis","collection","uncover","software","activity","digital-forensics","windows-registry","regripper","sonnet",{"skillNo":148,"name":149,"nameZh":6,"description":150,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":151,"categories":152,"keywords":153,"publishedAt":39},"01M71HACR4A8XTWTTSXK4124AA","processes-token-impersonate-detect","Detect Windows token impersonation and privilege 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techniques including CreateRemoteThread, QueueUserAPC, NtCreateThreadEx, and thread hijacking via process memory analysis.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fprocesses\u002Fthread\u002Finjection\u002Fdetect\u002FSKILL.md",[],[176,177,31,178,156,158,179,33,180,160,32,104,21,181,182,183,184,168,93,94],"thread","processes thread injection detect","injection","memory","process-injection","api","apc-injection","thread-injection","nt-api",{"skillNo":186,"name":187,"nameZh":6,"description":188,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":189,"categories":190,"keywords":191,"publishedAt":39},"01M71HA7H311V5G14WMX58HQSS","processes-hollow-technique-detect","Detect process hollowing (RunPE) by identifying processes with mismatched image paths between PEB and VAD tree, or unmapped PE headers in memory.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fprocesses\u002Fhollow\u002Ftechnique\u002Fdetect\u002FSKILL.md",[],[192,31,156,193,179,33,194,195,32,104,196,197,198,199,200,30,93,94,201,202],"processes hollow technique detect","tree","memory-forensics","process-hollow","peb","runpe","image","pe-header","in memory","mismatched","headers"]