[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6AEVFVWW6FS6BHSGJ4XPEZ4":3,"skill-same:01M6AEVFVWW6FS6BHSGJ4XPEZ4":264},{"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":36,"linkOnly":37,"markdownContent":38,"markdownBody":39,"frontMatter":40,"refName":55,"commitSha":56,"skillDirectory":57,"forksCount":58,"repositoryHtmlUrl":59,"repositoryHomepageUrl":60,"ownerHtmlUrl":61,"ownerBlogUrl":62,"ownerDescription":63,"updatedAt":64,"install":65,"resources":78},"01M6AEVFVWW6FS6BHSGJ4XPEZ4","hunting-for-dns-based-persistence",null,"Hunts for DNS-based persistence mechanisms such as DNS hijacking, dangling CNAME records enabling subdomain takeover, wildcard DNS abuse, and unauthorized zone or NS delegation changes, using passive DNS history (SecurityTrails API), Route53\u002FAzure DNS\u002FCloudflare audit logs, and zone transfer analysis. Use when investigating suspected DNS hijacking or subdomain takeover, or when threat hunting for DNS record tampering that persists across credential rotations and endpoint reimaging.","mukul975\u002FAnthropic-Cybersecurity-Skills","mukul975","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F42860185?v=4","01M6ADEQR8T5M4EEG6C67BQCWF","Mahipal","01M6ADJPMYWG1E5GM1FWBE3128",35990,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fhunting-for-dns-based-persistence\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35],"hunting for dns based persistence","persistence","dns","logs","securitytrails","dns-hijacking","subdomain-takeover","endpoint","passive-dns","threat-hunting","cybersecurity","transfer","audit","cloudflare","delegation","azure","threat hunting","2026-11-10 10:12:30",false,"---\nname: hunting-for-dns-based-persistence\ndescription: Hunts for DNS-based persistence mechanisms such as DNS hijacking, dangling\n  CNAME records enabling subdomain takeover, wildcard DNS abuse, and unauthorized zone\n  or NS delegation changes, using passive DNS history (SecurityTrails API), Route53\u002FAzure\n  DNS\u002FCloudflare audit logs, and zone transfer analysis. Use when investigating suspected\n  DNS hijacking or subdomain takeover, or when threat hunting for DNS record tampering\n  that persists across credential rotations and endpoint reimaging.\ndomain: cybersecurity\nsubdomain: threat-hunting\ntags:\n- dns\n- persistence\n- threat-hunting\n- passive-dns\n- dns-hijacking\n- subdomain-takeover\n- securitytrails\nversion: '1.0'\nauthor: mahipal\nlicense: Apache-2.0\nnist_csf:\n- DE.CM-01\n- DE.AE-02\n- DE.AE-07\n- ID.RA-05\nmitre_attack:\n- T1046\n- T1057\n- T1082\n- T1083\n- T1547\n---\n\n# Hunting for DNS-based Persistence\n\n## Overview\n\nAttackers establish DNS-based persistence by hijacking DNS records, creating unauthorized subdomains, abusing wildcard DNS entries, or modifying NS delegations to redirect traffic through attacker-controlled infrastructure. These techniques survive credential rotations, endpoint reimaging, and traditional remediation because DNS changes persist independently of compromised hosts. Detection requires passive DNS historical analysis, zone file auditing, and monitoring for unauthorized record modifications. This skill covers hunting methodologies using SecurityTrails passive DNS API, DNS audit logs from Route53\u002FAzure DNS\u002FCloudflare, and zone transfer analysis.\n\n\n## When to Use\n\n- When investigating security incidents that require hunting for dns based persistence\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- SecurityTrails API key (free tier provides 50 queries\u002Fmonth)\n- Access to DNS provider audit logs (Route53, Azure DNS, Cloudflare, or on-premises DNS)\n- Python 3.9+ with requests library\n- DNS zone file access or AXFR capability for internal zones\n- Historical DNS baseline for comparison\n\n## Steps\n\n### Step 1: Baseline DNS Records\n\nExport current DNS zone records and establish baseline for all authorized A, AAAA, CNAME, MX, NS, and TXT records.\n\n### Step 2: Query Passive DNS History\n\nUse SecurityTrails API to retrieve historical DNS records and identify unauthorized changes, new subdomains, and CNAME records pointing to decommissioned services (dangling CNAMEs).\n\n### Step 3: Detect Anomalies\n\nCompare current records against baseline to identify unauthorized modifications, wildcard records that resolve all subdomains, NS delegation changes, and MX record hijacking.\n\n### Step 4: Investigate Findings\n\nCorrelate DNS anomalies with threat intelligence feeds, check resolution targets against known malicious infrastructure, and validate record ownership.\n\n## Expected Output\n\nJSON report listing DNS anomalies with record type, historical changes, risk severity, and remediation recommendations for each finding.\n","# Hunting for DNS-based Persistence\n\n## Overview\n\nAttackers establish DNS-based persistence by hijacking DNS records, creating unauthorized subdomains, abusing wildcard DNS entries, or modifying NS delegations to redirect traffic through attacker-controlled infrastructure. These techniques survive credential rotations, endpoint reimaging, and traditional remediation because DNS changes persist independently of compromised hosts. Detection requires passive DNS historical analysis, zone file auditing, and monitoring for unauthorized record modifications. This skill covers hunting methodologies using SecurityTrails passive DNS API, DNS audit logs from Route53\u002FAzure DNS\u002FCloudflare, and zone transfer analysis.\n\n\n## When to Use\n\n- When investigating security incidents that require hunting for dns based persistence\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- SecurityTrails API key (free tier provides 50 queries\u002Fmonth)\n- Access to DNS provider audit logs (Route53, Azure DNS, Cloudflare, or on-premises DNS)\n- Python 3.9+ with requests library\n- DNS zone file access or AXFR capability for internal zones\n- Historical DNS baseline for comparison\n\n## Steps\n\n### Step 1: Baseline DNS Records\n\nExport current DNS zone records and establish baseline for all authorized A, AAAA, CNAME, MX, NS, and TXT records.\n\n### Step 2: Query Passive DNS History\n\nUse SecurityTrails API to retrieve historical DNS records and identify unauthorized changes, new subdomains, and CNAME records pointing to decommissioned services (dangling CNAMEs).\n\n### Step 3: Detect Anomalies\n\nCompare current records against baseline to identify unauthorized modifications, wildcard records that resolve all subdomains, NS delegation changes, and MX record hijacking.\n\n### Step 4: Investigate Findings\n\nCorrelate DNS anomalies with threat intelligence feeds, check resolution targets against known malicious infrastructure, and validate record ownership.\n\n## Expected Output\n\nJSON report listing DNS anomalies with record type, historical changes, risk severity, and remediation recommendations for each 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Use to confirm a system booted trusted firmware\u002Fkernel for Zero Trust device posture, detect boot-chain tampering via PCR drift, or build a golden-value baseline for fleet attestation.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fvalidating-tpm-measured-boot-attestation\u002FSKILL.md",[302],{"categoryNo":272,"categoryName":273,"taxonomyType":274,"taxonomyTypeDesc":275},[304,292,305,306,281,307,29,284,308,309,310,311,312,313,314,315,316,317,318,319],"boot","TPM","validating tpm measured boot attestation","policy","verification","ZeRO","firmware","Tools","measured-boot","PCR","integrity","secrets","remote-attestation","tpm2-tools","integrity-verification","trusted-computing",{"skillNo":321,"name":322,"nameZh":6,"description":323,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":324,"categories":325,"keywords":330,"publishedAt":36},"01M6AGDCW0Y4FXZ3362GT1941M","validating-backup-integrity-for-recovery","Validates backup integrity through cryptographic hash verification, automated restore testing, corruption detection, and recoverability checks to confirm backups are reliable for disaster recovery and ransomware response. 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Use during early incident containment\u002Ftriage when full disk imaging is impractical but a defensible, parseable Windows artifact set is needed quickly, including at-scale remote collection.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Ftriaging-windows-with-kape\u002FSKILL.md",[354],{"categoryNo":272,"categoryName":273,"taxonomyType":274,"taxonomyTypeDesc":275},[356,357,358,29,359,360,22,361,362,363,364,365,366,367,368,369,311,370,371,372],"windows","kape","triaging windows with kape","registry","browser","windows-forensics","dfir","mft","mftecmd","data","prefetch","eric-zimmerman","digital-forensics","SET","collection","pecmd","artifact-collection",{"skillNo":374,"name":375,"nameZh":6,"description":376,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":377,"categories":378,"keywords":380,"publishedAt":36},"01M6AGD5PW5J4EVZM958WD74ZQ","triaging-vulnerabilities-with-ssvc-framework","Triages and prioritizes vulnerabilities with CISA's Stakeholder-Specific Vulnerability Categorization (SSVC) decision tree, weighing exploitation status (via the CISA KEV catalog and FIRST EPSS API), technical impact, automatability, and mission prevalence to output Track\u002FTrack*\u002FAttend\u002FAct decisions. Use when prioritizing vulnerability scan results (OpenVAS, Nessus, Qualys) for remediation planning beyond raw CVSS scores.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Ftriaging-vulnerabilities-with-ssvc-framework\u002FSKILL.md",[379],{"categoryNo":272,"categoryName":273,"taxonomyType":274,"taxonomyTypeDesc":275},[381,382,383,29,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399],"vulnerabilities","framework","triaging vulnerabilities with ssvc framework","status","planning","CISA","vulnerability-management","risk-management","nessus","qualys","openvas","cvss","remediation","risk","vulnerability","api","prioritization","ssvc","decision-tree",{"skillNo":401,"name":402,"nameZh":6,"description":403,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":404,"categories":405,"keywords":407,"publishedAt":36},"01M6AGD24TTQQM4CXG69E3B9TJ","triaging-security-incident","Performs initial triage of security incidents using the NIST SP 800-61r3 and SANS PICERL frameworks, classifying incident type, assigning priority by business impact, and routing to the appropriate response team. Use when a SIEM\u002FEDR alert needs human classification, concurrent alerts must be prioritized, or a user report or threat-intel IOC match requires initial incident categorization.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Ftriaging-security-incident\u002FSKILL.md",[406],{"categoryNo":272,"categoryName":273,"taxonomyType":274,"taxonomyTypeDesc":275},[281,408,29,409,410,411,412,413,414,415,416,343,417,344,418,419,420,421,422,423],"triaging security incident","siem","file","ioc","soc","NIST-800-61","NIST","severity","edr","execution","analysis","classification","severity-classification","incident-triage","SANS-PICERL","SOC-operations"]