[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71DF78FHYQKT6RMKGS2J7H7":3,"skill-same:01M71DF78FHYQKT6RMKGS2J7H7":71},{"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":44,"commitSha":45,"skillDirectory":46,"forksCount":14,"repositoryHtmlUrl":47,"repositoryHomepageUrl":6,"ownerHtmlUrl":48,"ownerBlogUrl":6,"ownerDescription":49,"updatedAt":50,"install":51,"resources":64},"01M71DF78FHYQKT6RMKGS2J7H7","identity-attack-credential",null,"- When investigating security incidents that require hunting credential stuffing attacks - 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\u002Fidentity-attack-credential\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"credential","identity","identity attack credential","hunting","threat hunting","queries","type","monitoring","hunting credential stuffing attacks","analysis","soc","when","Rules","cybersecurity","techniques","incidents","for","domain","attacks","coverage","2026-11-10 10:12:30",false,"---\nname: identity-attack-credential\ndescription: \"- When investigating security incidents that require hunting credential stuffing attacks - 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# Hunting Credential Stuffing Attacks\n\n## When to Use\n\n- When investigating security incidents that require hunting credential stuffing attacks\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\nAnalyze authentication logs to detect credential stuffing by identifying patterns\nof distributed login failures, high IP diversity, and suspicious ASN distribution.\n\n```python\nimport pandas as pd\nfrom collections import Counter\n\n# Load auth logs\ndf = pd.read_csv(\"auth_logs.csv\", parse_dates=[\"timestamp\"])\n\n# Credential stuffing indicator: many IPs trying few accounts\nip_per_account = df[df[\"status\"] == \"failed\"].groupby(\"username\")[\"source_ip\"].nunique()\naccounts_under_attack = ip_per_account[ip_per_account > 50]\n```\n\nKey detection indicators:\n1. High unique source IPs per failed username\n2. Low success rate across many accounts (\u003C 1%)\n3. ASN concentration from cloud\u002Fproxy providers\n4. Geographic impossibility (same account, distant locations)\n5. User-agent uniformity across distributed IPs\n\n## Examples\n\n```python\n# Password spray: one password tried across many accounts\nspray = df[df[\"status\"] == \"failed\"].groupby([\"source_ip\", \"password_hash\"]).agg(\n    accounts=(\"username\", \"nunique\")).reset_index()\nsprays = spray[spray[\"accounts\"] > 10]\n```\n","# Hunting Credential Stuffing Attacks\n\n## When to Use\n\n- When investigating security incidents that require hunting credential stuffing attacks\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\nAnalyze authentication logs to detect credential stuffing by identifying patterns\nof distributed login failures, high IP diversity, and suspicious ASN distribution.\n\n```python\nimport pandas as pd\nfrom collections import Counter\n\n# Load auth logs\ndf = pd.read_csv(\"auth_logs.csv\", parse_dates=[\"timestamp\"])\n\n# Credential stuffing indicator: many IPs trying few accounts\nip_per_account = df[df[\"status\"] == \"failed\"].groupby(\"username\")[\"source_ip\"].nunique()\naccounts_under_attack = ip_per_account[ip_per_account > 50]\n```\n\nKey detection indicators:\n1. High unique source IPs per failed username\n2. Low success rate across many accounts (\u003C 1%)\n3. ASN concentration from cloud\u002Fproxy providers\n4. Geographic impossibility (same account, distant locations)\n5. User-agent uniformity across distributed IPs\n\n## Examples\n\n```python\n# Password spray: one password tried across many accounts\nspray = df[df[\"status\"] == \"failed\"].groupby([\"source_ip\", \"password_hash\"]).agg(\n    accounts=(\"username\", \"nunique\")).reset_index()\nsprays = spray[spray[\"accounts\"] > 10]\n```\n",{"name":5,"domain":32,"description":7},"main","a91f1293287ffa9f4f1b8f486cd6e835a1568c84","skills\u002Fidentity-attack-credential","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace","https:\u002F\u002Fgithub.com\u002FDCx7C5","#Python","2026-09-01 11:21:00",{"source":8,"skillName":5,"commands":52,"prompt":62,"zipAvailable":63},[53,56,59],{"tool":54,"command":55},"npx","npx skills add DCx7C5\u002Fai-marketplace --skill identity-attack-credential",{"tool":57,"command":58},"bunx","bunx skills add DCx7C5\u002Fai-marketplace --skill identity-attack-credential",{"tool":60,"command":61},"pnpm","pnpm dlx skills add DCx7C5\u002Fai-marketplace --skill identity-attack-credential","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fidentity-attack-credential\u002FSKILL.md",true,[65],{"path":66,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":69,"sourceHtmlUrl":70},"index.json","REFERENCE","参考文档",677,"https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fidentity-attack-credential\u002Findex.json",[72,97,119,141,161,177],{"skillNo":73,"name":74,"nameZh":6,"description":75,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":76,"categories":77,"keywords":78,"publishedAt":39},"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",[],[79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,32,96],"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":98,"name":99,"nameZh":6,"description":100,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":101,"categories":102,"keywords":103,"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",[],[104,79,105,82,106,107,108,32,109,28,110,111,112,113,84,114,115,116,117,118],"exploit","services wmi exec exploit","exec","remote","traffic","Bash","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":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",[],[126,127,128,129,130,131,32,109,132,28,133,134,84,116,135,136,137,138,139,140],"artifact","registry","registry artifact extract","extract","evidence-collection","artifact-analysis","collection","analyze","uncover","software","activity","digital-forensics","windows-registry","regripper","sonnet",{"skillNo":142,"name":143,"nameZh":6,"description":144,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":145,"categories":146,"keywords":147,"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",[],[80,148,149,150,37,151,152,85,33,32,96,153,154,155,156,157,158,159,160,84],"processes token impersonate detect","token","processes","windows","escalation","privilege-escalation","seimpersonate","token-impersonation","printspoofer","exploitation","potato","impersonation","via",{"skillNo":162,"name":163,"nameZh":6,"description":164,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":165,"categories":166,"keywords":167,"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",[],[168,169,80,170,150,151,171,85,172,33,32,96,28,173,174,175,176,160,84,86],"thread","processes thread injection detect","injection","memory","process-injection","api","apc-injection","thread-injection","nt-api",{"skillNo":178,"name":179,"nameZh":6,"description":180,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":181,"categories":182,"keywords":183,"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",[],[184,80,150,185,171,85,186,187,32,96,188,189,190,191,192,193,84,86,194,195],"processes hollow technique detect","tree","memory-forensics","process-hollow","peb","runpe","image","pe-header","in memory","with","mismatched","headers"]