[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71C93MRHM1V9SGCQBC28KFC":3,"skill-same:01M71C93MRHM1V9SGCQBC28KFC":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":28,"publishedAt":49,"linkOnly":50,"markdownContent":51,"markdownBody":52,"frontMatter":53,"refName":54,"commitSha":55,"skillDirectory":56,"forksCount":14,"repositoryHtmlUrl":57,"repositoryHomepageUrl":6,"ownerHtmlUrl":58,"ownerBlogUrl":6,"ownerDescription":59,"updatedAt":60,"install":61,"resources":74},"01M71C93MRHM1V9SGCQBC28KFC","cloud-logs-api",null,"- When investigating security incidents that require analyzing api gateway access 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-api\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48],"cloud logs api","logs","cloud","api","Rules","when","for","techniques","incidents","type","domain","queries","coverage","cybersecurity","access","analysis","soc","analyzing api gateway access logs","monitoring","gateway","2026-11-10 10:12:30",false,"---\nname: cloud-logs-api\ndescription: \"- When investigating security incidents that require analyzing api gateway access 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 API Gateway Access Logs\n\n## When to Use\n\n- When investigating security incidents that require analyzing api gateway access 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 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\nParse API gateway access logs to identify attack patterns including broken object\nlevel authorization (BOLA), excessive data exposure, and injection attempts.\n\n```python\nimport pandas as pd\n\ndf = pd.read_json(\"api_gateway_logs.json\", lines=True)\n# Detect BOLA: same user accessing many different resource IDs\nbola = df.groupby([\"user_id\", \"endpoint\"]).agg(\n    unique_ids=(\"resource_id\", \"nunique\")).reset_index()\nsuspicious = bola[bola[\"unique_ids\"] > 50]\n```\n\nKey detection patterns:\n1. BOLA\u002FIDOR: sequential resource ID enumeration\n2. Rate limit bypass via header manipulation\n3. Credential scanning (401 surges from single source)\n4. SQL\u002FNoSQL injection in query parameters\n5. Unusual HTTP methods (DELETE, PATCH) on read-only endpoints\n\n## Examples\n\n```python\n# Detect 401 surges indicating credential scanning\nauth_failures = df[df[\"status_code\"] == 401]\nscanner_ips = auth_failures.groupby(\"source_ip\").size()\nscanners = scanner_ips[scanner_ips > 100]\n```\n","# Analyzing API Gateway Access Logs\n\n## When to Use\n\n- When investigating security incidents that require analyzing api gateway access 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 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\nParse API gateway access logs to identify attack patterns including broken object\nlevel authorization (BOLA), excessive data exposure, and injection attempts.\n\n```python\nimport pandas as pd\n\ndf = pd.read_json(\"api_gateway_logs.json\", lines=True)\n# Detect BOLA: same user accessing many different resource IDs\nbola = df.groupby([\"user_id\", \"endpoint\"]).agg(\n    unique_ids=(\"resource_id\", \"nunique\")).reset_index()\nsuspicious = bola[bola[\"unique_ids\"] > 50]\n```\n\nKey detection patterns:\n1. BOLA\u002FIDOR: sequential resource ID enumeration\n2. Rate limit bypass via header manipulation\n3. Credential scanning (401 surges from single source)\n4. SQL\u002FNoSQL injection in query parameters\n5. Unusual HTTP methods (DELETE, PATCH) on read-only endpoints\n\n## Examples\n\n```python\n# Detect 401 surges indicating credential scanning\nauth_failures = df[df[\"status_code\"] == 401]\nscanner_ips = auth_failures.groupby(\"source_ip\").size()\nscanners = scanner_ips[scanner_ips > 100]\n```\n",{"name":5,"domain":42,"description":7},"main","a91f1293287ffa9f4f1b8f486cd6e835a1568c84","skills\u002Fcloud-logs-api","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace","https:\u002F\u002Fgithub.com\u002FDCx7C5","#Python","2026-09-01 11:21:00",{"source":8,"skillName":5,"commands":62,"prompt":72,"zipAvailable":73},[63,66,69],{"tool":64,"command":65},"npx","npx skills add DCx7C5\u002Fai-marketplace --skill cloud-logs-api",{"tool":67,"command":68},"bunx","bunx skills add DCx7C5\u002Fai-marketplace --skill cloud-logs-api",{"tool":70,"command":71},"pnpm","pnpm dlx skills add DCx7C5\u002Fai-marketplace --skill cloud-logs-api","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fcloud-logs-api\u002FSKILL.md",true,[75],{"path":76,"resourceType":77,"resourceTypeDesc":78,"sizeBytes":79,"sourceHtmlUrl":80},"index.json","REFERENCE","参考文档",641,"https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fcloud-logs-api\u002Findex.json",[82,107,129,151,172,187],{"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":49},"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",[],[89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,42,106],"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":108,"name":109,"nameZh":6,"description":110,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":111,"categories":112,"keywords":113,"publishedAt":49},"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",[],[114,89,115,92,116,117,118,42,119,44,120,121,122,123,94,124,125,126,127,128],"exploit","services wmi exec exploit","exec","remote","traffic","Bash","team","across","crackmapexec","native","command","lateral movement","read","lateral-movement","Impacket",{"skillNo":130,"name":131,"nameZh":6,"description":132,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":133,"categories":134,"keywords":135,"publishedAt":49},"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",[],[136,137,138,139,140,141,42,119,142,44,143,144,94,126,145,146,147,148,149,150],"artifact","registry","registry artifact extract","extract","evidence-collection","artifact-analysis","collection","analyze","uncover","software","activity","digital-forensics","windows-registry","regripper","sonnet",{"skillNo":152,"name":153,"nameZh":6,"description":154,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":155,"categories":156,"keywords":157,"publishedAt":49},"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",[],[90,158,159,160,161,162,163,95,36,42,106,164,165,166,167,168,169,170,171,94],"processes token impersonate detect","token","processes","attacks","windows","escalation","privilege-escalation","seimpersonate","token-impersonation","printspoofer","exploitation","potato","impersonation","via",{"skillNo":173,"name":174,"nameZh":6,"description":175,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":176,"categories":177,"keywords":178,"publishedAt":49},"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",[],[179,180,90,181,160,162,182,95,183,36,42,106,44,32,184,185,186,171,94,96],"thread","processes thread injection detect","injection","memory","process-injection","apc-injection","thread-injection","nt-api",{"skillNo":188,"name":189,"nameZh":6,"description":190,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":191,"categories":192,"keywords":193,"publishedAt":49},"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",[],[194,90,160,195,182,95,196,197,42,106,198,199,200,201,202,203,94,96,204,205],"processes hollow technique detect","tree","memory-forensics","process-hollow","peb","runpe","image","pe-header","in memory","with","mismatched","headers"]