[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6GY1255F3BV4P12ARSFA2EA":3,"skill-same:01M6GY1255F3BV4P12ARSFA2EA":89},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":51,"commitSha":52,"skillDirectory":53,"forksCount":54,"repositoryHtmlUrl":55,"repositoryHomepageUrl":6,"ownerHtmlUrl":56,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":57,"install":58,"resources":71},"01M6GY1255F3BV4P12ARSFA2EA","hunting-for-cobalt-strike-beacons",null,"Detect Cobalt Strike beacon network activity using default TLS certificate signatures (serial 8BB00EE), JA3\u002FJA3S\u002FJARM fingerprints, HTTP C2 profile pattern matching, beacon jitter analysis, and named pipe detection via Zeek, Suricata, and Python PCAP analysis.","micsapp\u002Fmicstec-skills","micsapp","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F82411001?v=4","01M6GWCFQ6D3PV8EHNY62NN5VW","01M6GWCFVE1PA5HG0DKC7AMFJ3",4,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002F_universal\u002Fcybersecurity-skills\u002Fskills\u002Fhunting-for-cobalt-strike-beacons\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"hunting","strike","hunting for cobalt strike beacons","analysis","detect","pattern matching","via","signatures","pipe","default","jitter","python","jarm","ja3","tls","suricata","Zeek","network-forensics","http","cybersecurity","2026-11-10 10:12:30",false,"---\nname: hunting-for-cobalt-strike-beacons\ndescription: Detect Cobalt Strike beacon network activity using default TLS certificate signatures (serial 8BB00EE), JA3\u002FJA3S\u002FJARM fingerprints, HTTP C2 profile pattern matching, beacon jitter analysis, and named pipe detection via Zeek, Suricata, and Python PCAP analysis.\ndomain: cybersecurity\nsubdomain: threat-hunting\ntags: [cobalt-strike, beacon, threat-hunting, c2, zeek, suricata, ja3, jarm, network-forensics]\nversion: \"1.0\"\nauthor: mahipal\nlicense: Apache-2.0\n---\n\n# Hunting for Cobalt Strike Beacons\n\n## Overview\n\nCobalt Strike is the most prevalent command-and-control framework used by both red teams and threat actors. Beacon, its primary payload, communicates with team servers using configurable HTTP\u002FHTTPS\u002FDNS profiles that can mimic legitimate traffic. However, default configurations and behavioral patterns remain detectable through TLS certificate analysis (default serial 8BB00EE), JA3\u002FJA3S fingerprinting, beacon interval jitter analysis, and HTTP malleable profile pattern matching. This skill covers building detection capabilities using Zeek network logs, Suricata IDS rules, and Python-based PCAP analysis to identify beacon callbacks in network traffic.\n\n\n## When to Use\n\n- When investigating security incidents that require hunting for cobalt strike beacons\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- Zeek 6.0+ with JA3 and HASSH packages installed\n- Suricata 7.0+ with Emerging Threats ruleset\n- Python 3.9+ with scapy and dpkt libraries\n- Network traffic captures (PCAP) or live Zeek logs\n- RITA (Real Intelligence Threat Analytics) for beacon scoring\n- Threat intelligence feeds with known Cobalt Strike IOCs\n\n## Steps\n\n### Step 1: TLS Certificate Analysis\nDetect default Cobalt Strike certificates using JA3S fingerprints, certificate serial numbers, and JARM fingerprints in Zeek ssl.log.\n\n### Step 2: Beacon Interval Analysis\nAnalyze connection timing patterns to identify regular callback intervals with configurable jitter, characteristic of beacon behavior.\n\n### Step 3: HTTP Profile Detection\nMatch HTTP request patterns (URI paths, headers, user-agents) against known malleable C2 profiles.\n\n### Step 4: Correlate and Score\nCombine multiple indicators (TLS + timing + HTTP profile) into a composite beacon confidence score.\n\n## Expected Output\n\nJSON report containing detected beacon candidates with confidence scores, TLS fingerprints, timing analysis, HTTP profile matches, and recommended response actions.\n","# Hunting for Cobalt Strike Beacons\n\n## Overview\n\nCobalt Strike is the most prevalent command-and-control framework used by both red teams and threat actors. Beacon, its primary payload, communicates with team servers using configurable HTTP\u002FHTTPS\u002FDNS profiles that can mimic legitimate traffic. However, default configurations and behavioral patterns remain detectable through TLS certificate analysis (default serial 8BB00EE), JA3\u002FJA3S fingerprinting, beacon interval jitter analysis, and HTTP malleable profile pattern matching. This skill covers building detection capabilities using Zeek network logs, Suricata IDS rules, and Python-based PCAP analysis to identify beacon callbacks in network traffic.\n\n\n## When to Use\n\n- When investigating security incidents that require hunting for cobalt strike beacons\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- Zeek 6.0+ with JA3 and HASSH packages installed\n- Suricata 7.0+ with Emerging Threats ruleset\n- Python 3.9+ with scapy and dpkt libraries\n- Network traffic captures (PCAP) or live Zeek logs\n- RITA (Real Intelligence Threat Analytics) for beacon scoring\n- Threat intelligence feeds with known Cobalt Strike IOCs\n\n## Steps\n\n### Step 1: TLS Certificate Analysis\nDetect default Cobalt Strike certificates using JA3S fingerprints, certificate serial numbers, and JARM fingerprints in Zeek ssl.log.\n\n### Step 2: Beacon Interval Analysis\nAnalyze connection timing patterns to identify regular callback intervals with configurable jitter, characteristic of beacon behavior.\n\n### Step 3: HTTP Profile Detection\nMatch HTTP request patterns (URI paths, headers, user-agents) against known malleable C2 profiles.\n\n### Step 4: Correlate and Score\nCombine multiple indicators (TLS + timing + HTTP profile) into a composite beacon confidence score.\n\n## Expected Output\n\nJSON report containing detected beacon candidates with confidence scores, TLS fingerprints, timing analysis, HTTP profile matches, and recommended response actions.\n",{"name":5,"tags":43,"author":49,"domain":37,"license":14,"version":50,"subdomain":46,"description":7},[44,45,46,47,48,33,31,30,35],"cobalt-strike","beacon","threat-hunting","c2","zeek","mahipal","1.0","master","3f5d983eb4ef375b749adcd6b07ec03bd82ae8a8","_universal\u002Fcybersecurity-skills\u002Fskills\u002Fhunting-for-cobalt-strike-beacons",0,"https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills","https:\u002F\u002Fgithub.com\u002Fmicsapp","2026-03-20 11:24:18",{"source":8,"skillName":5,"commands":59,"prompt":69,"zipAvailable":70},[60,63,66],{"tool":61,"command":62},"npx","npx skills add micsapp\u002Fmicstec-skills --skill hunting-for-cobalt-strike-beacons",{"tool":64,"command":65},"bunx","bunx skills add micsapp\u002Fmicstec-skills --skill hunting-for-cobalt-strike-beacons",{"tool":67,"command":68},"pnpm","pnpm dlx skills add micsapp\u002Fmicstec-skills --skill hunting-for-cobalt-strike-beacons","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002F_universal\u002Fcybersecurity-skills\u002Fskills\u002Fhunting-for-cobalt-strike-beacons\u002FSKILL.md",true,[72,77,83],{"path":73,"resourceType":73,"resourceTypeDesc":74,"sizeBytes":75,"sourceHtmlUrl":76},"LICENSE","许可证",11255,"https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002F_universal\u002Fcybersecurity-skills\u002Fskills\u002Fhunting-for-cobalt-strike-beacons\u002FLICENSE",{"path":78,"resourceType":79,"resourceTypeDesc":80,"sizeBytes":81,"sourceHtmlUrl":82},"references\u002Fapi-reference.md","REFERENCE","参考文档",4677,"https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002F_universal\u002Fcybersecurity-skills\u002Fskills\u002Fhunting-for-cobalt-strike-beacons\u002Freferences\u002Fapi-reference.md",{"path":84,"resourceType":85,"resourceTypeDesc":86,"sizeBytes":87,"sourceHtmlUrl":88},"scripts\u002Fagent.py","SCRIPT","脚本",8333,"https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002F_universal\u002Fcybersecurity-skills\u002Fskills\u002Fhunting-for-cobalt-strike-beacons\u002Fscripts\u002Fagent.py",[90,128,158,179,199,224],{"skillNo":91,"name":92,"nameZh":6,"description":93,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":94,"licenseFileUrl":6,"sourceHtmlUrl":95,"categories":96,"keywords":107,"publishedAt":38},"01M6HBTJ02FXBFG9NYEHHYAP52","azure-apim-architecture","Analyzes and explains Azure API Management architecture decisions for enterprise API marketplace implementations using VNet Internal mode, Front Door, hybrid authentication, and multi-environment strategies. 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Use when the user asks to calculate, compute, or evaluate math expressions, or when precise decimal arithmetic is needed to avoid floating-point errors.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fawesome-copilot-agents\u002Fskills\u002Fcalculator\u002FSKILL.md",[],[226,231,232,233,234,235,236,171,237,238],"npm","js","calculate","node","math","user","compute","errors"]