Anthropic-Cybersecurity-Skills/skills/hunting-for-command-and-control-beaconing/SKILL.md

name, description, domain, subdomain, tags, version, author, license, d3fend_techniques, nist_csf

name	description	domain	subdomain	tags	version	author	license	d3fend_techniques	nist_csf
hunting-for-command-and-control-beaconing	Detect C2 beaconing patterns in network traffic using frequency analysis, jitter detection, and domain reputation to identify compromised endpoints communicating with adversary infrastructure.	cybersecurity	threat-hunting	threat-hunting mitre-attack c2 beaconing network-analysis proactive-detection	1.0	mahipal	Apache-2.0	File Metadata Consistency Validation Certificate Analysis Application Protocol Command Analysis Content Format Conversion File Content Analysis	DE.CM-01 DE.AE-02 DE.AE-07 ID.RA-05

Hunting for Command and Control Beaconing

When to Use

• When proactively hunting for compromised systems in the network
• After threat intel indicates C2 frameworks targeting your industry
• When investigating periodic outbound connections to suspicious domains
• During incident response to identify active C2 channels
• When DNS query logs show unusual patterns to specific domains

Prerequisites

• Network proxy/firewall logs with full URL and timing data
• DNS query logs (passive DNS, DNS server logs, or Sysmon Event ID 22)
• Zeek/Bro network connection logs or NetFlow data
• SIEM with statistical analysis capabilities (Splunk, Elastic)
• Threat intelligence feeds for domain/IP reputation

Workflow

1. Identify Beaconing Characteristics: Define what constitutes beaconing (regular intervals, small payload sizes, consistent destinations, jitter patterns).
2. Collect Network Telemetry: Aggregate proxy logs, DNS queries, and connection metadata for analysis.
3. Apply Frequency Analysis: Identify connections with regular intervals using statistical methods (standard deviation, coefficient of variation).
4. Filter Known-Good Traffic: Exclude legitimate periodic traffic (Windows Update, AV updates, heartbeat services, NTP).
5. Analyze Domain/IP Reputation: Check identified beaconing destinations against threat intel, WHOIS data, and certificate transparency logs.
6. Investigate Endpoint Context: Correlate beaconing activity with process creation, user context, and file system changes on source endpoints.
7. Confirm and Respond: Validate C2 activity, block communication, and initiate incident response.

Key Concepts

Concept	Description
T1071	Application Layer Protocol (HTTP/HTTPS/DNS C2)
T1071.001	Web Protocols (HTTP/S beaconing)
T1071.004	DNS (DNS tunneling C2)
T1573	Encrypted Channel
T1572	Protocol Tunneling
T1568	Dynamic Resolution (DGA, fast-flux)
T1132	Data Encoding in C2
T1095	Non-Application Layer Protocol
Beacon Interval	Time between C2 check-ins
Jitter	Random variation in beacon interval
DGA	Domain Generation Algorithm
Fast-Flux	Rapidly changing DNS resolution

Tools & Systems

Tool	Purpose
RITA (Real Intelligence Threat Analytics)	Automated beacon detection in Zeek logs
Splunk	Statistical beacon analysis with SPL
Elastic Security	ML-based anomaly detection for beaconing
Zeek/Bro	Network connection metadata collection
Suricata	Network IDS with JA3/JA4 fingerprinting
VirusTotal	Domain and IP reputation checking
PassiveDNS	Historical DNS resolution data
Flare	C2 profile detection

Common Scenarios

1. Cobalt Strike Beacon: HTTP/HTTPS beaconing with configurable sleep time and jitter to malleable C2 profiles.
2. DNS Tunneling C2: Data exfiltration and command receipt via encoded DNS TXT/CNAME queries to attacker-controlled domains.
3. Sliver C2 over HTTPS: Modern C2 framework using HTTPS with configurable beacon intervals and domain fronting.
4. DGA-based C2: Malware generating random domains daily, with adversary registering upcoming domains for C2.
5. Legitimate Service Abuse: C2 over legitimate cloud services (Azure, AWS, Slack, Discord, Telegram).

Output Format

Hunt ID: TH-C2-[DATE]-[SEQ]
Source IP: [Internal IP]
Source Host: [Hostname]
Destination: [Domain/IP]
Protocol: [HTTP/HTTPS/DNS/Custom]
Beacon Interval: [Average seconds]
Jitter: [Percentage]
Connection Count: [Total connections]
Data Volume: [Bytes sent/received]
First Seen: [Timestamp]
Last Seen: [Timestamp]
Domain Age: [Days]
TI Match: [Yes/No - source]
Risk Level: [Critical/High/Medium/Low]