[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71FCWA2492SCWXJS4RFHKY7":3,"skill-same:01M71FCWA2492SCWXJS4RFHKY7":70},{"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":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":43,"commitSha":44,"skillDirectory":45,"forksCount":14,"repositoryHtmlUrl":46,"repositoryHomepageUrl":6,"ownerHtmlUrl":47,"ownerBlogUrl":6,"ownerDescription":48,"updatedAt":49,"install":50,"resources":63},"01M71FCWA2492SCWXJS4RFHKY7","net-dns-tunnelingdetection",null,"- When conducting security assessments that involve performing dns tunneling detection - When following incident response procedures for related security events - When performing scheduled security testing or auditing activities - When validating security controls through hands-on testing","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\u002Fnet-dns-tunnelingdetection\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"dns","net dns tunnelingdetection","Security Testing","events","incident response","performing","when","tunneling","security","scheduled","activities","cybersecurity","controls","detection","testing","performing dns tunneling detection","incident","for","hands-on","2026-11-10 10:12:30",false,"---\nname: net-dns-tunnelingdetection\ndescription: \"- When conducting security assessments that involve performing dns tunneling detection - When following incident response procedures for related security events - When performing scheduled security testing or auditing activities - When validating security controls through hands-on testing\"\ndomain: cybersecurity\n---\n# Performing DNS Tunneling Detection\n\n## When to Use\n\n- When conducting security assessments that involve performing dns tunneling detection\n- When following incident response procedures for related security events\n- When performing scheduled security testing or auditing activities\n- When validating security controls through hands-on testing\n\n## Prerequisites\n\n- Familiarity with security operations concepts and tools\n- Access to a test or lab environment for safe execution\n- Python 3.8+ with required dependencies installed\n- Appropriate authorization for any testing activities\n\n## Instructions\n\nAnalyze DNS traffic for indicators of DNS tunneling using entropy analysis and\nstatistical methods on query name characteristics.\n\n```python\nimport math\nfrom collections import Counter\n\ndef shannon_entropy(data):\n    if not data:\n        return 0\n    counter = Counter(data)\n    length = len(data)\n    return -sum((c\u002Flength) * math.log2(c\u002Flength) for c in counter.values())\n\n# Legitimate domain: low entropy (~3.0-3.5)\nprint(shannon_entropy(\"www.google.com\"))\n# DNS tunnel: high entropy (~4.0-5.0)\nprint(shannon_entropy(\"aGVsbG8gd29ybGQ.tunnel.example.com\"))\n```\n\nKey detection indicators:\n1. High Shannon entropy in query names (> 3.5 for subdomain labels)\n2. Unusually long query names (> 50 characters)\n3. High volume of TXT record requests to a single domain\n4. High unique subdomain count per parent domain\n5. Non-standard character distribution in labels\n\n## Examples\n\n```python\nfrom scapy.all import rdpcap, DNS, DNSQR\npackets = rdpcap(\"dns_traffic.pcap\")\nfor pkt in packets:\n    if pkt.haslayer(DNSQR):\n        query = pkt[DNSQR].qname.decode()\n        entropy = shannon_entropy(query)\n        if entropy > 4.0:\n            print(f\"Suspicious: {query} (entropy={entropy:.2f})\")\n```\n","# Performing DNS Tunneling Detection\n\n## When to Use\n\n- When conducting security assessments that involve performing dns tunneling detection\n- When following incident response procedures for related security events\n- When performing scheduled security testing or auditing activities\n- When validating security controls through hands-on testing\n\n## Prerequisites\n\n- Familiarity with security operations concepts and tools\n- Access to a test or lab environment for safe execution\n- Python 3.8+ with required dependencies installed\n- Appropriate authorization for any testing activities\n\n## Instructions\n\nAnalyze DNS traffic for indicators of DNS tunneling using entropy analysis and\nstatistical methods on query name characteristics.\n\n```python\nimport math\nfrom collections import Counter\n\ndef shannon_entropy(data):\n    if not data:\n        return 0\n    counter = Counter(data)\n    length = len(data)\n    return -sum((c\u002Flength) * math.log2(c\u002Flength) for c in counter.values())\n\n# Legitimate domain: low entropy (~3.0-3.5)\nprint(shannon_entropy(\"www.google.com\"))\n# DNS tunnel: high entropy (~4.0-5.0)\nprint(shannon_entropy(\"aGVsbG8gd29ybGQ.tunnel.example.com\"))\n```\n\nKey detection indicators:\n1. High Shannon entropy in query names (> 3.5 for subdomain labels)\n2. Unusually long query names (> 50 characters)\n3. High volume of TXT record requests to a single domain\n4. High unique subdomain count per parent domain\n5. Non-standard character distribution in labels\n\n## Examples\n\n```python\nfrom scapy.all import rdpcap, DNS, DNSQR\npackets = rdpcap(\"dns_traffic.pcap\")\nfor pkt in packets:\n    if pkt.haslayer(DNSQR):\n        query = pkt[DNSQR].qname.decode()\n        entropy = shannon_entropy(query)\n        if entropy > 4.0:\n            print(f\"Suspicious: {query} (entropy={entropy:.2f})\")\n```\n",{"name":5,"domain":30,"description":7},"main","a91f1293287ffa9f4f1b8f486cd6e835a1568c84","skills\u002Fnet-dns-tunnelingdetection","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace","https:\u002F\u002Fgithub.com\u002FDCx7C5","#Python","2026-09-01 11:21:00",{"source":8,"skillName":5,"commands":51,"prompt":61,"zipAvailable":62},[52,55,58],{"tool":53,"command":54},"npx","npx skills add DCx7C5\u002Fai-marketplace --skill net-dns-tunnelingdetection",{"tool":56,"command":57},"bunx","bunx skills add DCx7C5\u002Fai-marketplace --skill net-dns-tunnelingdetection",{"tool":59,"command":60},"pnpm","pnpm dlx skills add DCx7C5\u002Fai-marketplace --skill net-dns-tunnelingdetection","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fnet-dns-tunnelingdetection\u002FSKILL.md",true,[64],{"path":65,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":68,"sourceHtmlUrl":69},"index.json","REFERENCE","参考文档",677,"https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fnet-dns-tunnelingdetection\u002Findex.json",[71,96,119,141,163,179],{"skillNo":72,"name":73,"nameZh":6,"description":74,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":75,"categories":76,"keywords":77,"publishedAt":38},"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",[],[78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,30,95],"services","detect","services wmi persistence detect","wmi","persistence","de","cm","process","activescript","event","subscriptions","commandline-consumer","repository","subscription","event-subscription","t1546.003","forensics","process-forensics",{"skillNo":97,"name":98,"nameZh":6,"description":99,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":100,"categories":101,"keywords":102,"publishedAt":38},"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",[],[103,78,104,81,105,106,107,30,108,109,110,111,112,113,83,114,115,116,117,118],"exploit","services wmi exec exploit","exec","remote","traffic","Bash","analysis","team","across","crackmapexec","native","command","lateral movement","read","lateral-movement","Impacket",{"skillNo":120,"name":121,"nameZh":6,"description":122,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":123,"categories":124,"keywords":125,"publishedAt":38},"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",[],[126,127,128,129,130,131,30,108,132,109,133,134,83,116,135,136,137,138,139,140],"artifact","registry","registry artifact 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analysis.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fprocesses\u002Fthread\u002Finjection\u002Fdetect\u002FSKILL.md",[],[170,171,79,172,150,152,173,84,174,154,30,95,109,175,176,177,178,162,83,85],"thread","processes thread injection detect","injection","memory","process-injection","api","apc-injection","thread-injection","nt-api",{"skillNo":180,"name":181,"nameZh":6,"description":182,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":183,"categories":184,"keywords":185,"publishedAt":38},"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",[],[186,79,150,187,173,84,188,189,30,95,190,191,192,193,194,195,83,85,196,197],"processes hollow technique detect","tree","memory-forensics","process-hollow","peb","runpe","image","pe-header","in memory","with","mismatched","headers"]