[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71GZBV9BFVC0NAW595ZFD9N":3,"skill-same:01M71GZBV9BFVC0NAW595ZFD9N":93},{"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":66,"commitSha":67,"skillDirectory":68,"forksCount":14,"repositoryHtmlUrl":69,"repositoryHomepageUrl":6,"ownerHtmlUrl":70,"ownerBlogUrl":6,"ownerDescription":71,"updatedAt":72,"install":73,"resources":86},"01M71GZBV9BFVC0NAW595ZFD9N","tls-certificates-verify",null,"Queries Certificate Transparency logs via crt.sh and pycrtsh to detect phishing domains, unauthorized certificate issuance, and shadow IT. Monitors newly issued certificates for typosquatting and brand impersonation using Levenshtein distance. Use for proactive phishing domain detection and certificate monitoring.","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\u002Fweb-application\u002Ftls\u002Fcertificates\u002Fverify\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"tls","tls certificates verify","verify","certificates","tls certificates","logs","security-operations","Bash","aml","phishing","cybersecurity","use","t1059","domains","cm","for","domain","t1566","brand","certificate transparency","2026-11-10 10:12:30",false,"---\nname: tls-certificates-verify\ndescription: Queries Certificate Transparency logs via crt.sh and pycrtsh to detect phishing domains, unauthorized certificate issuance, and shadow IT. Monitors newly issued certificates for typosquatting and brand impersonation using Levenshtein distance. Use for proactive phishing domain detection and certificate monitoring.\ndomain: cybersecurity\nsubdomain: security-operations\ntags:\n- analyzing\n- tls\n- certificate\n- transparency\natlas_techniques:\n- AML.T0073\n- AML.T0052\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- T1059\n- T1566\ncapec: []\n---\n\n# Analyzing TLS Certificate Transparency Logs\n\n\n## When to Use\n\n- When investigating security incidents that require analyzing tls certificate transparency 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\nQuery crt.sh Certificate Transparency database to find certificates issued for\ndomains similar to your organization's brand, detecting phishing infrastructure.\n\n```python\nfrom pycrtsh import Crtsh\n\nc = Crtsh()\n# Search for certificates matching a domain\ncerts = c.search(\"example.com\")\nfor cert in certs:\n    print(cert[\"id\"], cert[\"name_value\"])\n\n# Get full certificate details\ndetails = c.get(certs[0][\"id\"], type=\"id\")\n```\n\nKey analysis steps:\n1. Query crt.sh for all certificates matching your domain pattern\n2. Identify certificates with typosquatting variations (Levenshtein distance)\n3. Flag certificates from unexpected CAs\n4. Monitor for wildcard certificates on suspicious subdomains\n5. Cross-reference with known phishing infrastructure\n\n## Examples\n\n```python\nfrom pycrtsh import Crtsh\nc = Crtsh()\ncerts = c.search(\"%.example.com\")\nfor cert in certs:\n    print(f\"Issuer: {cert.get('issuer_name')}, Domain: {cert.get('name_value')}\")\n```\n","# Analyzing TLS Certificate Transparency Logs\n\n\n## When to Use\n\n- When investigating security incidents that require analyzing tls certificate transparency 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\nQuery crt.sh Certificate Transparency database to find certificates issued for\ndomains similar to your organization's brand, detecting phishing infrastructure.\n\n```python\nfrom pycrtsh import Crtsh\n\nc = Crtsh()\n# Search for certificates matching a domain\ncerts = c.search(\"example.com\")\nfor cert in certs:\n    print(cert[\"id\"], cert[\"name_value\"])\n\n# Get full certificate details\ndetails = c.get(certs[0][\"id\"], type=\"id\")\n```\n\nKey analysis steps:\n1. Query crt.sh for all certificates matching your domain pattern\n2. Identify certificates with typosquatting variations (Levenshtein distance)\n3. Flag certificates from unexpected CAs\n4. Monitor for wildcard certificates on suspicious subdomains\n5. Cross-reference with known phishing infrastructure\n\n## Examples\n\n```python\nfrom pycrtsh import Crtsh\nc = Crtsh()\ncerts = c.search(\"%.example.com\")\nfor cert in certs:\n    print(f\"Issuer: {cert.get('issuer_name')}, Domain: {cert.get('name_value')}\")\n```\n",{"name":5,"tags":44,"capec":48,"model":49,"tools":50,"domain":29,"maxTurns":54,"nist_csf":55,"subdomain":25,"description":7,"mitre_attack":60,"atlas_techniques":63},[45,19,46,47],"analyzing","certificate","transparency",[],"sonnet",[51,26,52,53],"Read","Glob","Grep",20,[56,57,58,59],"DE.CM-01","RS.MA-01","GV.OV-01","DE.AE-02",[61,62],"T1059","T1566",[64,65],"AML.T0073","AML.T0052","main","a91f1293287ffa9f4f1b8f486cd6e835a1568c84","skills\u002Fweb-application\u002Ftls\u002Fcertificates\u002Fverify","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace","https:\u002F\u002Fgithub.com\u002FDCx7C5","#Python","2026-09-01 11:21:00",{"source":8,"skillName":5,"commands":74,"prompt":84,"zipAvailable":85},[75,78,81],{"tool":76,"command":77},"npx","npx skills add DCx7C5\u002Fai-marketplace --skill tls-certificates-verify",{"tool":79,"command":80},"bunx","bunx skills add DCx7C5\u002Fai-marketplace --skill tls-certificates-verify",{"tool":82,"command":83},"pnpm","pnpm dlx skills add DCx7C5\u002Fai-marketplace --skill tls-certificates-verify","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fweb-application\u002Ftls\u002Fcertificates\u002Fverify\u002FSKILL.md",true,[87],{"path":88,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":91,"sourceHtmlUrl":92},"index.json","REFERENCE","参考文档",700,"https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fweb-application\u002Ftls\u002Fcertificates\u002Fverify\u002Findex.json",[94,118,140,161,183,199],{"skillNo":95,"name":96,"nameZh":6,"description":97,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":98,"categories":99,"keywords":100,"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",[],[101,102,103,104,105,106,33,107,108,109,110,111,112,113,114,115,116,29,117],"services","detect","services wmi persistence detect","wmi","persistence","de","process","activescript","event","subscriptions","commandline-consumer","repository","subscription","event-subscription","t1546.003","forensics","process-forensics",{"skillNo":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":122,"categories":123,"keywords":124,"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",[],[125,101,126,104,127,128,129,29,26,130,131,132,133,134,106,135,136,137,138,139],"exploit","services wmi exec exploit","exec","remote","traffic","analysis","team","across","crackmapexec","native","command","lateral movement","read","lateral-movement","Impacket",{"skillNo":141,"name":142,"nameZh":6,"description":143,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":144,"categories":145,"keywords":146,"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",[],[147,148,149,150,151,152,29,26,153,130,154,155,106,137,156,157,158,159,160,49],"artifact","registry","registry artifact extract","extract","evidence-collection","artifact-analysis","collection","analyze","uncover","software","activity","digital-forensics","windows-registry","regripper",{"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},"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",[],[102,168,169,170,171,172,173,33,174,29,117,175,176,177,178,179,180,181,182,106],"processes token impersonate detect","token","processes","attacks","windows","escalation","techniques","privilege-escalation","seimpersonate","token-impersonation","printspoofer","exploitation","potato","impersonation","via",{"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":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",[],[190,191,102,192,170,172,193,33,194,174,29,117,130,195,196,197,198,182,106,107],"thread","processes thread injection detect","injection","memory","process-injection","api","apc-injection","thread-injection","nt-api",{"skillNo":200,"name":201,"nameZh":6,"description":202,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":203,"categories":204,"keywords":205,"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",[],[206,102,170,207,193,33,208,209,29,117,210,211,212,213,214,215,106,107,216,217],"processes hollow technique detect","tree","memory-forensics","process-hollow","peb","runpe","image","pe-header","in memory","with","mismatched","headers"]