Use when detect C2 beaconing patterns in network traffic using frequency
Scanned 9/8/2026
Install to Claude Code
npx -y skills add oyi77/1ai-skills --skill hunting-for-command-and-control-beaconing --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: hunting-for-command-and-control-beaconing
description: Use when detect C2 beaconing patterns in network traffic using frequency
analysis, jitter detection, and domain reputation to identify compromised endpoints
communicating with adversary infrastructure. Use when detecting c2 beaconing patterns
in network traffic using frequency analysis,.
domain: cybersecurity
tags:
- threat-hunting
- mitre-attack
- c2
- beaconing
- network-analysis
- proactive-detection
subdomain: threat-hunting
version: '1.0'
author: oyi77
license: Apache-2.0
d3fend_techniques:
- File Metadata Consistency Validation
- Certificate Analysis
- Application Protocol Command Analysis
- Content Format Conversion
- File Content Analysis
nist_csf:
- DE.CM-01
- DE.AE-02
- DE.AE-07
- ID.RA-05
category: cybersecurity
---
# Hunting For Command And Control Beaconing
## Overview
Cybersecurity skill for hunting for command and control beaconing. Follows industry best practices and security standards.
## When to Use
**Trigger phrases:**
- "hunting for command and control beaconing"
- "Detect C2 beaconing patterns in network traffic using frequency analysis, jitter"
- 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
## When NOT to Use
- When you lack proper authorization for testing
- For production systems without change management
- When the task requires legal or compliance expertise beyond technical scope
## 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
```python
# Example: IOC detection
import re
IOC_PATTERNS = {
"ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
"domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
"hash_md5": r"\b[a-f0-9]{32}\b",
"hash_sha256": r"\b[a-f0-9]{64}\b",
}
def extract_iocs(text: str) -> dict:
return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}
```
1. **Define Detection Scope** — Identify the specific techniques or indicators to hunt. Map to MITRE ATT&CK tactics/techniques where applicable.
2. **Collect Baseline Data** — Gather historical logs and establish normal behavior patterns for .
3. **Build Detection Queries** — Write command and control beaconing queries targeting indicators. Use platform-specific query language for optimal performance.
4. **Execute Hunts** — Run queries against the collected data, starting with broad filters and narrowing down.
5. **Triage Results** — Investigate alerts, filter false positives, and validate findings against known-good behavior.
6. **Document Findings** — Record confirmed detections, IOCs, and affected systems. Update detection rules based on findings.
## Tools
- **command and control beaconing** — Primary tool for this skill
- **SIEM Platform** — Central log aggregation and query execution
- **Sigma Rules** — Vendor-agnostic detection rule format
- **MITRE ATT&CK Navigator** — Technique mapping and coverage analysis
## Process
1. **Reconnaissance** — Gather target information, identify attack surface, enumerate services
1. **Analysis/Exploitation** — Execute the technique, analyze results, document findings
1. **Reporting** — Document IOCs, write findings, provide remediation recommendations
## Verification
- [ ] All procedures executed completely and documented
- [ ] Findings validated against multiple data sources
- [ ] False positives identified and filtered
- [ ] Results documented with evidence and timestamps
- [ ] Recommendations provided with risk-based prioritization
## Anti-Rationalization Table
| Rationalization | Reality |
|---|---|
| "We are too small to be targeted" | Automated attacks target everyone. Size does not matter. |
| "Security slows us down" | A breach slows you down 100x more. Build security in from the start. |
| "We will fix it after launch" | Vulnerabilities in production are exploited within hours. Fix before deploy. |Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
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