Skills Development Detecting Cobalt Strike C2 Beacon Traffic

Detecting Cobalt Strike C2 Beacon Traffic

v20260802
hunting-for-cobalt-strike-beacons
This skill provides comprehensive methods to detect Cobalt Strike beacon command-and-control (C2) traffic. It uses advanced network forensics techniques, including analyzing default TLS certificates (e.g., serial 8BB00EE), JA3/JA3S fingerprints, HTTP malleable profiles, and beacon interval jitter, leveraging Zeek logs, Suricata rules, and Python PCAP analysis. It is essential for threat hunters and SOC analysts investigating sophisticated C2 communications.
Get Skill
364 downloads
Overview

Hunting 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.

Info
Category Development
Name hunting-for-cobalt-strike-beacons
Version v20260802
Size 10.29KB
Updated At 2026-08-04
Language