[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71C9DC2TCCZ0ABY47D3935W":3,"skill-same:01M71C9DC2TCCZ0ABY47D3935W":76},{"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":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":14,"repositoryHtmlUrl":52,"repositoryHomepageUrl":6,"ownerHtmlUrl":53,"ownerBlogUrl":6,"ownerDescription":54,"updatedAt":55,"install":56,"resources":69},"01M71C9DC2TCCZ0ABY47D3935W","cloud-logs-kubernetes",null,"- When investigating security incidents that require analyzing kubernetes audit logs - When building detection rules or threat hunting queries for this domain - When SOC analysts need structured procedures for this analysis type - When validating security monitoring coverage for related attack techniques","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\u002Fcloud-logs-kubernetes\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000011","运维与部署","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"cloud logs kubernetes","logs","cloud","kubernetes","coverage","when","for","techniques","incidents","hunting","type","domain","queries","Rules","analysis","soc","monitoring","audit","threat hunting","cybersecurity","2026-11-10 10:12:30",false,"---\nname: cloud-logs-kubernetes\ndescription: \"- When investigating security incidents that require analyzing kubernetes audit logs - When building detection rules or threat hunting queries for this domain - When SOC analysts need structured procedures for this analysis type - When validating security monitoring coverage for related attack techniques\"\ndomain: cybersecurity\n---\n# Analyzing Kubernetes Audit Logs\n\n## When to Use\n\n- When investigating security incidents that require analyzing kubernetes audit logs\n- When building detection rules or threat hunting queries for this domain\n- When SOC analysts need structured procedures for this analysis type\n- When validating security monitoring coverage for related attack techniques\n\n## Prerequisites\n\n- Familiarity with container security 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\nParse Kubernetes audit log files (JSON lines format) to detect security-relevant\nevents including unauthorized access, privilege escalation, and data exfiltration.\n\n```python\nimport json\n\nwith open(\"\u002Fvar\u002Flog\u002Fkubernetes\u002Faudit.log\") as f:\n    for line in f:\n        event = json.loads(line)\n        verb = event.get(\"verb\")\n        resource = event.get(\"objectRef\", {}).get(\"resource\")\n        user = event.get(\"user\", {}).get(\"username\")\n        if verb == \"create\" and resource == \"pods\u002Fexec\":\n            print(f\"Pod exec by {user}\")\n```\n\nKey events to detect:\n1. pods\u002Fexec and pods\u002Fattach (shell into containers)\n2. secrets access (get\u002Flist\u002Fwatch)\n3. clusterrolebindings creation (RBAC escalation)\n4. Privileged pod creation\n5. Anonymous or system:unauthenticated access\n\n## Examples\n\n```python\n# Detect secret enumeration\nif verb in (\"get\", \"list\") and resource == \"secrets\":\n    print(f\"Secret access: {user} -> {event['objectRef'].get('name')}\")\n```\n","# Analyzing Kubernetes Audit Logs\n\n## When to Use\n\n- When investigating security incidents that require analyzing kubernetes audit logs\n- When building detection rules or threat hunting queries for this domain\n- When SOC analysts need structured procedures for this analysis type\n- When validating security monitoring coverage for related attack techniques\n\n## Prerequisites\n\n- Familiarity with container security 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\nParse Kubernetes audit log files (JSON lines format) to detect security-relevant\nevents including unauthorized access, privilege escalation, and data exfiltration.\n\n```python\nimport json\n\nwith open(\"\u002Fvar\u002Flog\u002Fkubernetes\u002Faudit.log\") as f:\n    for line in f:\n        event = json.loads(line)\n        verb = event.get(\"verb\")\n        resource = event.get(\"objectRef\", {}).get(\"resource\")\n        user = event.get(\"user\", {}).get(\"username\")\n        if verb == \"create\" and resource == \"pods\u002Fexec\":\n            print(f\"Pod exec by {user}\")\n```\n\nKey events to detect:\n1. pods\u002Fexec and pods\u002Fattach (shell into containers)\n2. secrets access (get\u002Flist\u002Fwatch)\n3. clusterrolebindings creation (RBAC escalation)\n4. Privileged pod creation\n5. Anonymous or system:unauthenticated access\n\n## Examples\n\n```python\n# Detect secret enumeration\nif verb in (\"get\", \"list\") and resource == \"secrets\":\n    print(f\"Secret access: {user} -> {event['objectRef'].get('name')}\")\n```\n",{"name":5,"domain":43,"description":7},"main","a91f1293287ffa9f4f1b8f486cd6e835a1568c84","skills\u002Fcloud-logs-kubernetes","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace","https:\u002F\u002Fgithub.com\u002FDCx7C5","#Python","2026-09-01 11:21:00",{"source":8,"skillName":5,"commands":57,"prompt":67,"zipAvailable":68},[58,61,64],{"tool":59,"command":60},"npx","npx skills add DCx7C5\u002Fai-marketplace --skill cloud-logs-kubernetes",{"tool":62,"command":63},"bunx","bunx skills add DCx7C5\u002Fai-marketplace --skill cloud-logs-kubernetes",{"tool":65,"command":66},"pnpm","pnpm dlx skills add DCx7C5\u002Fai-marketplace --skill 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repository.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fservices\u002Fwmi\u002Fpersistence\u002Fdetect\u002FSKILL.md",[],[84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,43,101],"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":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":106,"categories":107,"keywords":108,"publishedAt":44},"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",[],[109,84,110,87,111,112,113,43,114,38,115,116,117,118,89,119,120,121,122,123],"exploit","services wmi exec exploit","exec","remote","traffic","Bash","team","across","crackmapexec","native","command","lateral movement","read","lateral-movement","Impacket",{"skillNo":125,"name":126,"nameZh":6,"description":127,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":128,"categories":129,"keywords":130,"publishedAt":44},"01M71HAG6MHKNQV8KDZKMT4886","registry-artifact-extract","Extract and analyze Windows Registry hives to uncover user activity, installed software, autostart 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thread hijacking via process memory analysis.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fprocesses\u002Fthread\u002Finjection\u002Fdetect\u002FSKILL.md",[],[174,175,85,176,155,157,177,90,178,31,43,101,38,179,180,181,182,166,89,91],"thread","processes thread injection detect","injection","memory","process-injection","api","apc-injection","thread-injection","nt-api",{"skillNo":184,"name":185,"nameZh":6,"description":186,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":187,"categories":188,"keywords":189,"publishedAt":44},"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",[],[190,85,155,191,177,90,192,193,43,101,194,195,196,197,198,199,89,91,200,201],"processes hollow technique detect","tree","memory-forensics","process-hollow","peb","runpe","image","pe-header","in memory","with","mismatched","headers"]