external/anthropic-cybersecurity-skills/skills/hunting-for-cobalt-strike-beacons/SKILL.md
Detect Cobalt Strike beacon network activity using default TLS certificate signatures (serial 8BB00EE), JA3/JA3S/JARM fingerprints, HTTP C2 profile pattern matching, beacon jitter analysis, and named pipe detection via Zeek, Suricata, and Python PCAP analysis.
npx skillsauth add seikaikyo/dash-skills hunting-for-cobalt-strike-beaconsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Cobalt 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/HTTPS/DNS profiles that can mimic legitimate traffic. However, default configurations and behavioral patterns remain detectable through TLS certificate analysis (default serial 8BB00EE), JA3/JA3S 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.
Detect default Cobalt Strike certificates using JA3S fingerprints, certificate serial numbers, and JARM fingerprints in Zeek ssl.log.
Analyze connection timing patterns to identify regular callback intervals with configurable jitter, characteristic of beacon behavior.
Match HTTP request patterns (URI paths, headers, user-agents) against known malleable C2 profiles.
Combine multiple indicators (TLS + timing + HTTP profile) into a composite beacon confidence score.
JSON report containing detected beacon candidates with confidence scores, TLS fingerprints, timing analysis, HTTP profile matches, and recommended response actions.
development
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testing
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devops
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