[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6ETMH8SY7EX00GAYQTY192D":3,"skill-same:01M6ETMH8SY7EX00GAYQTY192D":104},{"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":47,"commitSha":48,"skillDirectory":49,"forksCount":50,"repositoryHtmlUrl":51,"repositoryHomepageUrl":6,"ownerHtmlUrl":52,"ownerBlogUrl":6,"ownerDescription":53,"updatedAt":54,"install":55,"resources":68},"01M6ETMH8SY7EX00GAYQTY192D","detecting-kerberoasting-attacks",null,"Detect Kerberoasting attacks by monitoring for anomalous Kerberos TGS requests targeting service accounts with SPNs for offline password cracking.","luokai0\u002Fai-agent-skills-by-luo-kai","luokai0","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F266954973?v=4","01M6E16VNT42JB8B3X3254QWJ7","luo kai","01M6E16VTFVP6S5XJF1V1MPV90",14,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F21-external-registries\u002F08-pinkpixel-collection\u002Fdetecting-kerberoasting-attacks\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"detecting","kerberoasting","detecting kerberoasting attacks","t1558","with","detect","service","credential","threat","password","access","cybersecurity","detection","kerberos","proactive-detection","threat-hunting","mitre-attack","credential-access","monitoring","offline","2026-11-10 10:12:30",false,"---\nname: detecting-kerberoasting-attacks\ndescription: Detect Kerberoasting attacks by monitoring for anomalous Kerberos TGS requests targeting service accounts with SPNs for offline password cracking.\ndomain: cybersecurity\nsubdomain: threat-hunting\ntags: [threat-hunting, mitre-attack, kerberoasting, credential-access, kerberos, t1558, proactive-detection]\nversion: \"1.0\"\nauthor: mahipal\nlicense: Apache-2.0\n---\n\n# Detecting Kerberoasting Attacks\n\n## When to Use\n\n- When proactively hunting for indicators of detecting kerberoasting attacks in the environment\n- After threat intelligence indicates active campaigns using these techniques\n- During incident response to scope compromise related to these techniques\n- When EDR or SIEM alerts trigger on related indicators\n- During periodic security assessments and purple team exercises\n\n## Prerequisites\n\n- EDR platform with process and network telemetry (CrowdStrike, MDE, SentinelOne)\n- SIEM with relevant log data ingested (Splunk, Elastic, Sentinel)\n- Sysmon deployed with comprehensive configuration\n- Windows Security Event Log forwarding enabled\n- Threat intelligence feeds for IOC correlation\n\n## Workflow\n\n1. **Formulate Hypothesis**: Define a testable hypothesis based on threat intelligence or ATT&CK gap analysis.\n2. **Identify Data Sources**: Determine which logs and telemetry are needed to validate or refute the hypothesis.\n3. **Execute Queries**: Run detection queries against SIEM and EDR platforms to collect relevant events.\n4. **Analyze Results**: Examine query results for anomalies, correlating across multiple data sources.\n5. **Validate Findings**: Distinguish true positives from false positives through contextual analysis.\n6. **Correlate Activity**: Link findings to broader attack chains and threat actor TTPs.\n7. **Document and Report**: Record findings, update detection rules, and recommend response actions.\n\n## Key Concepts\n\n| Concept | Description |\n|---------|-------------|\n| T1558.003 | Kerberoasting |\n| T1558.004 | AS-REP Roasting |\n| T1558.001 | Golden Ticket |\n\n## Tools & Systems\n\n| Tool | Purpose |\n|------|---------|\n| CrowdStrike Falcon | EDR telemetry and threat detection |\n| Microsoft Defender for Endpoint | Advanced hunting with KQL |\n| Splunk Enterprise | SIEM log analysis with SPL queries |\n| Elastic Security | Detection rules and investigation timeline |\n| Sysmon | Detailed Windows event monitoring |\n| Velociraptor | Endpoint artifact collection and hunting |\n| Sigma Rules | Cross-platform detection rule format |\n\n## Common Scenarios\n\n1. **Scenario 1**: Rubeus kerberoast targeting all SPN accounts\n2. **Scenario 2**: GetUserSPNs.py from Impacket requesting RC4 tickets\n3. **Scenario 3**: Targeted kerberoast against high-privilege service accounts\n4. **Scenario 4**: AS-REP roasting accounts without pre-authentication\n\n## Output Format\n\n```\nHunt ID: TH-DETECT-[DATE]-[SEQ]\nTechnique: T1558.003\nHost: [Hostname]\nUser: [Account context]\nEvidence: [Log entries, process trees, network data]\nRisk Level: [Critical\u002FHigh\u002FMedium\u002FLow]\nConfidence: [High\u002FMedium\u002FLow]\nRecommended Action: [Containment, investigation, monitoring]\n```\n","# Detecting Kerberoasting Attacks\n\n## When to Use\n\n- When proactively hunting for indicators of detecting kerberoasting attacks in the environment\n- After threat intelligence indicates active campaigns using these techniques\n- During incident response to scope compromise related to these techniques\n- When EDR or SIEM alerts trigger on related indicators\n- During periodic security assessments and purple team exercises\n\n## Prerequisites\n\n- EDR platform with process and network telemetry (CrowdStrike, MDE, SentinelOne)\n- SIEM with relevant log data ingested (Splunk, Elastic, Sentinel)\n- Sysmon deployed with comprehensive configuration\n- Windows Security Event Log forwarding enabled\n- Threat intelligence feeds for IOC correlation\n\n## Workflow\n\n1. **Formulate Hypothesis**: Define a testable hypothesis based on threat intelligence or ATT&CK gap analysis.\n2. **Identify Data Sources**: Determine which logs and telemetry are needed to validate or refute the hypothesis.\n3. **Execute Queries**: Run detection queries against SIEM and EDR platforms to collect relevant events.\n4. **Analyze Results**: Examine query results for anomalies, correlating across multiple data sources.\n5. **Validate Findings**: Distinguish true positives from false positives through contextual analysis.\n6. **Correlate Activity**: Link findings to broader attack chains and threat actor TTPs.\n7. **Document and Report**: Record findings, update detection rules, and recommend response actions.\n\n## Key Concepts\n\n| Concept | Description |\n|---------|-------------|\n| T1558.003 | Kerberoasting |\n| T1558.004 | AS-REP Roasting |\n| T1558.001 | Golden Ticket |\n\n## Tools & Systems\n\n| Tool | Purpose |\n|------|---------|\n| CrowdStrike Falcon | EDR telemetry and threat detection |\n| Microsoft Defender for Endpoint | Advanced hunting with KQL |\n| Splunk Enterprise | SIEM log analysis with SPL queries |\n| Elastic Security | Detection rules and investigation timeline |\n| Sysmon | Detailed Windows event monitoring |\n| Velociraptor | Endpoint artifact collection and hunting |\n| Sigma Rules | Cross-platform detection rule format |\n\n## Common Scenarios\n\n1. **Scenario 1**: Rubeus kerberoast targeting all SPN accounts\n2. **Scenario 2**: GetUserSPNs.py from Impacket requesting RC4 tickets\n3. **Scenario 3**: Targeted kerberoast against high-privilege service accounts\n4. **Scenario 4**: AS-REP roasting accounts without pre-authentication\n\n## Output Format\n\n```\nHunt ID: TH-DETECT-[DATE]-[SEQ]\nTechnique: T1558.003\nHost: [Hostname]\nUser: [Account context]\nEvidence: [Log entries, process trees, network data]\nRisk Level: [Critical\u002FHigh\u002FMedium\u002FLow]\nConfidence: [High\u002FMedium\u002FLow]\nRecommended Action: [Containment, investigation, monitoring]\n```\n",{"name":5,"tags":44,"author":45,"domain":30,"license":15,"version":46,"subdomain":34,"description":7},[34,35,20,36,32,22,33],"mahipal","1.0","main","4d2fb89cdfb75f3f6fd3c6c5ec9ad90ea129eb3c","ai-agent-skills\u002F21-external-registries\u002F08-pinkpixel-collection\u002Fdetecting-kerberoasting-attacks",1,"https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai","https:\u002F\u002Fgithub.com\u002Fluokai0","a solo builder.","2026-05-06 04:29:04",{"source":8,"skillName":5,"commands":56,"prompt":66,"zipAvailable":67},[57,60,63],{"tool":58,"command":59},"npx","npx skills add luokai0\u002Fai-agent-skills-by-luo-kai --skill detecting-kerberoasting-attacks",{"tool":61,"command":62},"bunx","bunx skills add luokai0\u002Fai-agent-skills-by-luo-kai --skill detecting-kerberoasting-attacks",{"tool":64,"command":65},"pnpm","pnpm dlx skills add luokai0\u002Fai-agent-skills-by-luo-kai --skill 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