[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71G33NBV18C1R281XM693BT":3,"skill-same:01M71G33NBV18C1R281XM693BT":88},{"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":61,"commitSha":62,"skillDirectory":63,"forksCount":14,"repositoryHtmlUrl":64,"repositoryHomepageUrl":6,"ownerHtmlUrl":65,"ownerBlogUrl":6,"ownerDescription":66,"updatedAt":67,"install":68,"resources":81},"01M71G33NBV18C1R281XM693BT","detection-correlation-create-configure",null,"Write multi-event correlation rules that detect APT lateral movement by chaining Windows authentication events, process execution telemetry, and network connection logs across hosts. Uses Splunk SPL and Sigma rule format to correlate Event IDs 4624, 4648, 4688, and Sysmon Events 1\u002F3 within sliding time windows to surface attack sequences invisible to single-event detections.","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\u002Fsoc\u002Fdetection\u002Fcorrelation\u002Fcreate\u002Fconfigure\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"detection correlation create configure","create","correlation","detection","configure","Bash","process execution","implementing","hosts","de","across","time","cm","cybersecurity","ids","splunk","security-operations","logs","authentication","siem","2026-11-10 10:12:30",false,"---\nname: detection-correlation-create-configure\ndescription: Write multi-event correlation rules that detect APT lateral movement by chaining Windows authentication events, process execution telemetry, and network connection logs across hosts. Uses Splunk SPL and Sigma rule format to correlate Event IDs 4624, 4648, 4688, and Sysmon Events 1\u002F3 within sliding time windows to surface attack sequences invisible to single-event detections.\ndomain: cybersecurity\nsubdomain: security-operations\ntags:\n- implementing\n- siem\n- correlation\n- rules\nnist_csf:\n- DE.CM-01\n- RS.MA-01\n- GV.OV-01\n- DE.AE-02\nmodel: sonnet\nmaxTurns: 20\ntools: [Read, Bash, Glob, Grep]\nmitre_attack:\n- T1021\n- T1070\ncapec: []\n---\n\n# Implementing SIEM Correlation Rules for APT\n\n\n## When to Use\n\n- When deploying or configuring implementing siem correlation rules for apt 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- 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\n1. Install dependencies: `pip install requests pyyaml sigma-cli`\n2. Connect to the Splunk REST API and define correlation searches that chain multiple event types across hosts.\n3. Build Sigma rules in YAML that express multi-step detection logic for lateral movement patterns:\n   - RDP logon (4624 LogonType=10) followed by service installation (7045) on same target within 15 minutes\n   - Pass-the-Hash: NTLM logon (4624 LogonType=3) followed by process creation (4688) of admin tools\n   - PsExec-style: Named pipe creation (Sysmon 17\u002F18) correlated with remote service creation (7045)\n4. Convert Sigma rules to Splunk SPL using `sigma-cli convert`.\n5. Deploy correlation searches to Splunk ES via the REST API.\n6. Run the agent to generate and install correlation rules, then audit existing rules for coverage gaps.\n\n```bash\npython scripts\u002Fagent.py --splunk-url https:\u002F\u002Flocalhost:8089 --username admin --password changeme --output correlation_report.json\n```\n\n## Examples\n\n### Detect RDP Lateral Movement Chain\n```\nindex=wineventlog (EventCode=4624 Logon_Type=10) OR (EventCode=7045)\n| transaction Computer maxspan=15m startswith=(EventCode=4624) endswith=(EventCode=7045)\n| where eventcount >= 2\n| table _time Computer Account_Name ServiceName\n```\n\n### Sigma Rule for PsExec Lateral Movement\n```yaml\ntitle: PsExec Lateral Movement Detection\nlogsource:\n  product: windows\n  service: sysmon\ndetection:\n  pipe_created:\n    EventID: 17\n    PipeName|startswith: '\\PSEXESVC'\n  service_installed:\n    EventID: 7045\n    ServiceFileName|contains: 'PSEXESVC'\n  timeframe: 5m\n  condition: pipe_created | near service_installed\nlevel: high\n```\n","# Implementing SIEM Correlation Rules for APT\n\n\n## When to Use\n\n- When deploying or configuring implementing siem correlation rules for apt 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- 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\n1. Install dependencies: `pip install requests pyyaml sigma-cli`\n2. Connect to the Splunk REST API and define correlation searches that chain multiple event types across hosts.\n3. Build Sigma rules in YAML that express multi-step detection logic for lateral movement patterns:\n   - RDP logon (4624 LogonType=10) followed by service installation (7045) on same target within 15 minutes\n   - Pass-the-Hash: NTLM logon (4624 LogonType=3) followed by process creation (4688) of admin tools\n   - PsExec-style: Named pipe creation (Sysmon 17\u002F18) correlated with remote service creation (7045)\n4. Convert Sigma rules to Splunk SPL using `sigma-cli convert`.\n5. Deploy correlation searches to Splunk ES via the REST API.\n6. Run the agent to generate and install correlation rules, then audit existing rules for coverage gaps.\n\n```bash\npython scripts\u002Fagent.py --splunk-url https:\u002F\u002Flocalhost:8089 --username admin --password changeme --output correlation_report.json\n```\n\n## Examples\n\n### Detect RDP Lateral Movement Chain\n```\nindex=wineventlog (EventCode=4624 Logon_Type=10) OR (EventCode=7045)\n| transaction Computer maxspan=15m startswith=(EventCode=4624) endswith=(EventCode=7045)\n| where eventcount >= 2\n| table _time Computer Account_Name ServiceName\n```\n\n### Sigma Rule for PsExec Lateral Movement\n```yaml\ntitle: PsExec Lateral Movement Detection\nlogsource:\n  product: windows\n  service: sysmon\ndetection:\n  pipe_created:\n    EventID: 17\n    PipeName|startswith: '\\PSEXESVC'\n  service_installed:\n    EventID: 7045\n    ServiceFileName|contains: 'PSEXESVC'\n  timeframe: 5m\n  condition: pipe_created | near service_installed\nlevel: high\n```\n",{"name":5,"tags":44,"capec":46,"model":47,"tools":48,"domain":32,"maxTurns":52,"nist_csf":53,"subdomain":35,"description":7,"mitre_attack":58},[26,38,21,45],"rules",[],"sonnet",[49,24,50,51],"Read","Glob","Grep",20,[54,55,56,57],"DE.CM-01","RS.MA-01","GV.OV-01","DE.AE-02",[59,60],"T1021","T1070","main","a91f1293287ffa9f4f1b8f486cd6e835a1568c84","skills\u002Fsoc\u002Fdetection\u002Fcorrelation\u002Fcreate\u002Fconfigure","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace","https:\u002F\u002Fgithub.com\u002FDCx7C5","#Python","2026-09-01 11:21:00",{"source":8,"skillName":5,"commands":69,"prompt":79,"zipAvailable":80},[70,73,76],{"tool":71,"command":72},"npx","npx skills add DCx7C5\u002Fai-marketplace --skill detection-correlation-create-configure",{"tool":74,"command":75},"bunx","bunx skills add DCx7C5\u002Fai-marketplace --skill detection-correlation-create-configure",{"tool":77,"command":78},"pnpm","pnpm dlx skills add DCx7C5\u002Fai-marketplace --skill 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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",[],[96,97,98,99,100,28,31,101,102,103,104,105,106,107,108,109,110,32,111],"services","detect","services wmi persistence detect","wmi","persistence","process","activescript","event","subscriptions","commandline-consumer","repository","subscription","event-subscription","t1546.003","forensics","process-forensics",{"skillNo":113,"name":114,"nameZh":6,"description":115,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":116,"categories":117,"keywords":118,"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",[],[119,96,120,99,121,122,123,32,24,124,125,29,126,127,28,128,129,130,131,132],"exploit","services wmi exec exploit","exec","remote","traffic","analysis","team","crackmapexec","native","command","lateral movement","read","lateral-movement","Impacket",{"skillNo":134,"name":135,"nameZh":6,"description":136,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":137,"categories":138,"keywords":139,"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",[],[140,141,142,143,144,145,32,24,146,124,147,148,28,130,149,150,151,152,153,47],"artifact","registry","registry artifact extract","extract","evidence-collection","artifact-analysis","collection","analyze","uncover","software","activity","digital-forensics","windows-registry","regripper",{"skillNo":155,"name":156,"nameZh":6,"description":157,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":158,"categories":159,"keywords":160,"publishedAt":39},"01M71HACR4A8XTWTTSXK4124AA","processes-token-impersonate-detect","Detect Windows token impersonation and privilege abuse including SeImpersonatePrivilege exploitation via Potato attacks and token stealing techniques.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fprocesses\u002Ftoken\u002Fimpersonate\u002Fdetect\u002FSKILL.md",[],[97,161,162,163,164,165,166,31,167,32,111,168,169,170,171,172,173,174,175,28],"processes token impersonate detect","token","processes","attacks","windows","escalation","techniques","privilege-escalation","seimpersonate","token-impersonation","printspoofer","exploitation","potato","impersonation","via",{"skillNo":177,"name":178,"nameZh":6,"description":179,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":180,"categories":181,"keywords":182,"publishedAt":39},"01M71HAABSB4Z6QFSXEG00R4RK","processes-thread-injection-detect","Detect Windows thread injection 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",[],[183,184,97,185,163,165,186,31,187,167,32,111,124,188,189,190,191,175,28,101],"thread","processes thread injection detect","injection","memory","process-injection","api","apc-injection","thread-injection","nt-api",{"skillNo":193,"name":194,"nameZh":6,"description":195,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":196,"categories":197,"keywords":198,"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",[],[199,97,163,200,186,31,201,202,32,111,203,204,205,206,207,208,28,101,209,210],"processes hollow technique detect","tree","memory-forensics","process-hollow","peb","runpe","image","pe-header","in memory","with","mismatched","headers"]