hunting-for-cobalt-strike-beacons
About hunting-for-cobalt-strike-beacons
A threat-hunting skill for SOC analysts and defenders investigating Cobalt Strike Beacon callbacks. It combines TLS, timing, and HTTP-profile indicators using network logs and packet analysis.
Key features
- 01TLS certificate and fingerprint analysis
- 02Beacon interval and jitter analysis
- 03HTTP profile pattern matching
- 04Combined confidence scoring
- 05JSON candidate reports
Use cases
- 01Investigating suspected Beacon callbacks
- 02Building network detection coverage
- 03Reviewing PCAPs for Cobalt Strike indicators
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ mukul975/ anthropic-cybersecurity-skills --skill hunting-for-cobalt-strike-beaconsAfter installing, type/hunting-for-cobalt-strike-beaconsin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
LICENSEreferences/api-reference.mdscripts/agent.pyDetails
From the project READMEHunting for Cobalt Strike Beacons
Overview
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.
When to Use
- When investigating security incidents that require hunting for cobalt strike beacons
- When building detection rules or threat hunting queries for this domain
- When SOC analysts need structured procedures for this analysis type
- When validating security monitoring coverage for related attack techniques
Prerequisites
- Zeek 6.0+ with JA3 and HASSH packages installed
- Suricata 7.0+ with Emerging Threats ruleset
- Python 3.9+ with scapy and dpkt libraries
- Network traffic captures (PCAP) or live Zeek logs
- RITA (Real Intelligence Threat Analytics) for beacon scoring
- Threat intelligence feeds with known Cobalt Strike IOCs
Steps
Step 1: TLS Certificate Analysis
Detect default Cobalt Strike certificates using JA3S fingerprints, certificate serial numbers, and JARM fingerprints in Zeek ssl.log.
Step 2: Beacon Interval Analysis
Analyze connection timing patterns to identify regular callback intervals with configurable jitter, characteristic of beacon behavior.
Step 3: HTTP Profile Detection
Match HTTP request patterns (URI paths, headers, user-agents) against known malleable C2 profiles.
Step 4: Correlate and Score
Combine multiple indicators (TLS + timing + HTTP profile) into a composite beacon confidence score.
Expected Output
JSON report containing detected beacon candidates with confidence scores, TLS fingerprints, timing analysis, HTTP profile matches, and recommended response actions.