[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71G72DEVK2SY8EHKJRRS05A":3,"skill-same:01M71G72DEVK2SY8EHKJRRS05A":98},{"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":71,"commitSha":72,"skillDirectory":73,"forksCount":14,"repositoryHtmlUrl":74,"repositoryHomepageUrl":6,"ownerHtmlUrl":75,"ownerBlogUrl":6,"ownerDescription":76,"updatedAt":77,"install":78,"resources":91},"01M71G72DEVK2SY8EHKJRRS05A","hunting-unusual-audit",null,"Hunt for unusual network connections by analyzing outbound traffic patterns, rare destinations, non-standard ports, and anomalous connection frequencies from endpoints.","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\u002Fsoc\u002Fhunting\u002Funusual\u002Faudit\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"audit","hunting unusual audit","hunting","certificate","network","analyzing","threat-hunting","read","command","de","mitre-attack","conversion","outbound","analysis","Bash","cybersecurity","traffic","content analysis","cm","ports","2026-11-10 10:12:30",false,"---\nname: hunting-unusual-audit\ndescription: Hunt for unusual network connections by analyzing outbound traffic patterns, rare destinations, non-standard ports, and anomalous connection frequencies from endpoints.\ndomain: cybersecurity\nsubdomain: threat-hunting\ntags:\n- threat-hunting\n- mitre-attack\n- network-analysis\n- c2\n- anomaly-detection\n- proactive-detection\nd3fend_techniques:\n- File Metadata Consistency Validation\n- Certificate Analysis\n- Application Protocol Command Analysis\n- Content Format Conversion\n- File Content Analysis\nnist_csf:\n- DE.CM-01\n- DE.AE-02\n- DE.AE-07\n- ID.RA-05\nmodel: sonnet\nmaxTurns: 20\ntools: [Read, Bash, Glob, Grep]\nmitre_attack:\n- T1059\n- T1070\n- T1071\ncapec: []\n---\n\n# Hunting For Unusual Network Connections\n\n## When to Use\n\n- When proactively hunting for indicators of hunting for unusual network connections 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| T1071 | Application Layer Protocol |\n| T1095 | Non-Application Layer Protocol |\n| T1571 | Non-Standard Port |\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**: Backdoor communicating to C2 on non-standard port\n2. **Scenario 2**: Data exfiltration over DNS to attacker nameserver\n3. **Scenario 3**: Compromised host scanning internal network\n4. **Scenario 4**: Cryptominer connecting to mining pool\n\n## Output Format\n\n```\nHunt ID: TH-HUNTIN-[DATE]-[SEQ]\nTechnique: T1071\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","# Hunting For Unusual Network Connections\n\n## When to Use\n\n- When proactively hunting for indicators of hunting for unusual network connections 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| T1071 | Application Layer Protocol |\n| T1095 | Non-Application Layer Protocol |\n| T1571 | Non-Standard Port |\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**: Backdoor communicating to C2 on non-standard port\n2. **Scenario 2**: Data exfiltration over DNS to attacker nameserver\n3. **Scenario 3**: Compromised host scanning internal network\n4. **Scenario 4**: Cryptominer connecting to mining pool\n\n## Output Format\n\n```\nHunt ID: TH-HUNTIN-[DATE]-[SEQ]\nTechnique: T1071\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,"capec":49,"model":50,"tools":51,"domain":34,"maxTurns":55,"nist_csf":56,"subdomain":25,"description":7,"mitre_attack":61,"d3fend_techniques":65},[25,29,45,46,47,48],"network-analysis","c2","anomaly-detection","proactive-detection",[],"sonnet",[52,33,53,54],"Read","Glob","Grep",20,[57,58,59,60],"DE.CM-01","DE.AE-02","DE.AE-07","ID.RA-05",[62,63,64],"T1059","T1070","T1071",[66,67,68,69,70],"File Metadata Consistency Validation","Certificate Analysis","Application Protocol Command Analysis","Content Format Conversion","File Content Analysis","main","a91f1293287ffa9f4f1b8f486cd6e835a1568c84","skills\u002Fsoc\u002Fhunting\u002Funusual\u002Faudit","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace","https:\u002F\u002Fgithub.com\u002FDCx7C5","#Python","2026-09-01 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permanent subscriptions in the WMI repository.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fservices\u002Fwmi\u002Fpersistence\u002Fdetect\u002FSKILL.md",[],[106,107,108,109,110,28,37,111,112,113,114,115,116,117,118,119,120,34,121],"services","detect","services wmi persistence detect","wmi","persistence","process","activescript","event","subscriptions","commandline-consumer","repository","subscription","event-subscription","t1546.003","forensics","process-forensics",{"skillNo":123,"name":124,"nameZh":6,"description":125,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":126,"categories":127,"keywords":128,"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",[],[129,106,130,109,131,132,35,34,33,32,133,134,135,136,28,27,137,26,138,139],"exploit","services wmi exec exploit","exec","remote","team","across","crackmapexec","native","lateral movement","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, 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