[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71DWQRB0GSE7EHSJCXVBXY0":3,"skill-same:01M71DWQRB0GSE7EHSJCXVBXY0":65},{"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":33,"linkOnly":34,"markdownContent":35,"markdownBody":36,"frontMatter":37,"refName":38,"commitSha":39,"skillDirectory":40,"forksCount":14,"repositoryHtmlUrl":41,"repositoryHomepageUrl":6,"ownerHtmlUrl":42,"ownerBlogUrl":6,"ownerDescription":43,"updatedAt":44,"install":45,"resources":58},"01M71DWQRB0GSE7EHSJCXVBXY0","intel-platforms-misp",null,"python scripts\u002Fagent.py --misp-url https:\u002F\u002Fmisp.local --api-key YOUR_KEY --days 90 --output landscape_report.","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\u002Fintel-platforms-misp\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32],"MISP","intel","intel platforms misp","python","cybersecurity","report","https","api","landscape","local","scripts","output","URL","api-key","2026-11-10 10:12:30",false,"---\nname: intel-platforms-misp\ndescription: \"python scripts\u002Fagent.py --misp-url https:\u002F\u002Fmisp.local --api-key YOUR_KEY --days 90 --output landscape_report.\"\ndomain: cybersecurity\n---\n\n# Analyzing Threat Landscape with MISP\n\n## When to Use\n\n- When investigating security incidents that require analyzing threat landscape with misp\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 threat intelligence 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 pymisp`\n2. Configure MISP URL and API key.\n3. Run the agent to generate threat landscape analysis:\n   - Pull event statistics by threat level and date range\n   - Analyze attribute type distributions (IP, domain, hash, URL)\n   - Identify top MITRE ATT&CK techniques from event tags\n   - Track threat actor activity via galaxy clusters\n   - Generate temporal trend analysis of IOC submissions\n\n```bash\npython scripts\u002Fagent.py --misp-url https:\u002F\u002Fmisp.local --api-key YOUR_KEY --days 90 --output landscape_report.json\n```\n\n## Examples\n\n### Threat Landscape Summary\n```\nPeriod: Last 90 days\nEvents analyzed: 1,247\nTop threat level: High (43%)\nTop attribute type: ip-dst (31%), domain (22%), sha256 (18%)\nTop MITRE technique: T1566 Phishing (89 events)\nTop threat actor: APT28 (34 events)\n```\n","# Analyzing Threat Landscape with MISP\n\n## When to Use\n\n- When investigating security incidents that require analyzing threat landscape with misp\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 threat intelligence 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 pymisp`\n2. Configure MISP URL and API key.\n3. Run the agent to generate threat landscape analysis:\n   - Pull event statistics by threat level and date range\n   - Analyze attribute type distributions (IP, domain, hash, URL)\n   - Identify top MITRE ATT&CK techniques from event tags\n   - Track threat actor activity via galaxy clusters\n   - Generate temporal trend analysis of IOC submissions\n\n```bash\npython scripts\u002Fagent.py --misp-url https:\u002F\u002Fmisp.local --api-key YOUR_KEY --days 90 --output landscape_report.json\n```\n\n## Examples\n\n### Threat Landscape Summary\n```\nPeriod: Last 90 days\nEvents analyzed: 1,247\nTop threat level: High (43%)\nTop attribute type: ip-dst (31%), domain (22%), sha256 (18%)\nTop MITRE technique: T1566 Phishing (89 events)\nTop threat actor: APT28 (34 events)\n```\n",{"name":5,"domain":23,"description":7},"main","a91f1293287ffa9f4f1b8f486cd6e835a1568c84","skills\u002Fintel-platforms-misp","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace","https:\u002F\u002Fgithub.com\u002FDCx7C5","#Python","2026-09-01 11:21:00",{"source":8,"skillName":5,"commands":46,"prompt":56,"zipAvailable":57},[47,50,53],{"tool":48,"command":49},"npx","npx skills add DCx7C5\u002Fai-marketplace --skill intel-platforms-misp",{"tool":51,"command":52},"bunx","bunx skills add DCx7C5\u002Fai-marketplace --skill intel-platforms-misp",{"tool":54,"command":55},"pnpm","pnpm dlx skills add DCx7C5\u002Fai-marketplace --skill intel-platforms-misp","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fintel-platforms-misp\u002FSKILL.md",true,[59],{"path":60,"resourceType":61,"resourceTypeDesc":62,"sizeBytes":63,"sourceHtmlUrl":64},"index.json","REFERENCE","参考文档",568,"https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fintel-platforms-misp\u002Findex.json",[66,91,114,136,158,173],{"skillNo":67,"name":68,"nameZh":6,"description":69,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":70,"categories":71,"keywords":72,"publishedAt":33},"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",[],[73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,23,90],"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":92,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":95,"categories":96,"keywords":97,"publishedAt":33},"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",[],[98,73,99,76,100,101,102,23,103,104,105,106,107,108,78,109,110,111,112,113],"exploit","services wmi exec exploit","exec","remote","traffic","Bash","analysis","team","across","crackmapexec","native","command","lateral movement","read","lateral-movement","Impacket",{"skillNo":115,"name":116,"nameZh":6,"description":117,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":118,"categories":119,"keywords":120,"publishedAt":33},"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",[],[121,122,123,124,125,126,23,103,127,104,128,129,78,111,130,131,132,133,134,135],"artifact","registry","registry artifact extract","extract","evidence-collection","artifact-analysis","collection","analyze","uncover","software","activity","digital-forensics","windows-registry","regripper","sonnet",{"skillNo":137,"name":138,"nameZh":6,"description":139,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":140,"categories":141,"keywords":142,"publishedAt":33},"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",[],[74,143,144,145,146,147,148,79,149,23,90,150,151,152,153,154,155,156,157,78],"processes token impersonate detect","token","processes","attacks","windows","escalation","techniques","privilege-escalation","seimpersonate","token-impersonation","printspoofer","exploitation","potato","impersonation","via",{"skillNo":159,"name":160,"nameZh":6,"description":161,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":162,"categories":163,"keywords":164,"publishedAt":33},"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",[],[165,166,74,167,145,147,168,79,169,149,23,90,104,26,170,171,172,157,78,80],"thread","processes thread injection detect","injection","memory","process-injection","apc-injection","thread-injection","nt-api",{"skillNo":174,"name":175,"nameZh":6,"description":176,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":177,"categories":178,"keywords":179,"publishedAt":33},"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",[],[180,74,145,181,168,79,182,183,23,90,184,185,186,187,188,189,78,80,190,191],"processes hollow technique detect","tree","memory-forensics","process-hollow","peb","runpe","image","pe-header","in memory","with","mismatched","headers"]