hunting-for-beaconing-with-frequency-analysis SKILL.md skillA

hunting-for-beaconing-with-frequency-analysis from adriannoes/awesome-agentic-ai is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add adriannoes/awesome-agentic-ai/hunting-for-beaconing-with-frequency-analysis@v1.0

Pins v1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
adriannoes/awesome-agentic-ai
Path
cursor-claude-codex/skills/anthropic-cybersecurity-skills/skills/hunting-for-beaconing-with-frequency-analysis/SKILL.md
Versions recorded
2
Latest version
v1.0, committed Jun 25, 2026
First version recorded
Jun 11, 2026
Size
7,978 bytes
Repository stars
69
License
MIT

Identify command-and-control beaconing patterns in network traffic by.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Hunting for Beaconing with Frequency Analysis

## When to Use

- When proactively searching for compromised endpoints calling back to C2 infrastructure
- After threat intelligence reports indicate active C2 frameworks targeting your sector
- When network logs show periodic outbound connections to unfamiliar destinations
- During purple team exercises validating C2 detection capabilities
- When investigating a potential breach and need to identify active C2 channels

## Prerequisites

- Network proxy/firewall logs with timestamps and destination data (minimum 24 hours)
- Zeek conn.log, dns.log, and ssl.log or equivalent NetFlow/IPFIX data
- SIEM platform with statistical analysis capability (Splunk, Elastic, Microsoft Sentinel)
- RITA (Real Intelligence Threat Analytics) or AC-Hunter for automated beacon analysis
- Threat intelligence feeds for domain/IP reputation enrichment

## Workflow

1. **Define Beacon Parameters**: Establish detection thresholds -- coefficient of variation (CV) below 0.20 indicates strong periodicity, minimum 50 connections over 24 hours, average interval between 30 seconds and 24 hours.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add adriannoes/awesome-agentic-ai/hunting-for-beaconing-with-frequency-analysis@sha256:79c3e65d9d101f9a

The line at the top of this page pins the label v1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_hehpvuzmp2yes2bo.svg)](https://markdownregistry.com/a/art_hehpvuzmp2yes2bo)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Jun 11, 2026 and Jun 25, 2026, about one every 14 days.

versioncommittedcommitsizeaudit
v1.0 latest2026-06-25 f69bd81 7,978 BA view · diff
v1.02026-06-11 ff4cc7c 7,922 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7978 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

adriannoes/awesome-agentic-ai · 69 stars · license MIT · pushed 2026-10-10 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_hehpvuzmp2yes2bo
GET https://markdownregistry.com/api/v1/resolve?ref=adriannoes/awesome-agentic-ai/hunting-for-beaconing-with-frequency-analysis
GET https://markdownregistry.com/api/v1/blob/79c3e65d9d101f9a1f1777f75fdd9e6487d3afe81da3fd85edb00938661168f0

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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