analyzing-ransomware-network-indicators

$npx mdskill add mukul975/Anthropic-Cybersecurity-Skills/analyzing-ransomware-network-indicators

Detect ransomware C2 and exfiltration via Zeek and NetFlow logs.

  • Automates forensic analysis of network traffic for threat hunting.
  • Requires Zeek conn.log files, NetFlow exports, and Python 3.8+.
  • Correlates beaconing patterns against known TOR exit node lists.
  • Outputs structured detection findings for SOC analysts and rule builders.
SKILL.md
.github/skills/analyzing-ransomware-network-indicatorsView on GitHub ↗
---
name: analyzing-ransomware-network-indicators
description: Identify ransomware network indicators including C2 beaconing patterns, TOR exit node connections, data exfiltration flows, and encryption key exchange via Zeek conn.log and NetFlow analysis
domain: cybersecurity
subdomain: threat-hunting
tags: [ransomware, c2-beaconing, zeek, netflow, tor, exfiltration, network-forensics]
version: "1.0"
author: mahipal
license: Apache-2.0
---

# Analyzing Ransomware Network Indicators

## Overview

Before and during ransomware execution, adversaries establish C2 channels, exfiltrate data, and download encryption keys. This skill analyzes Zeek conn.log and NetFlow data to detect beaconing patterns (regular-interval callbacks), connections to known TOR exit nodes, large outbound data transfers, and suspicious DNS activity associated with ransomware families.


## When to Use

- When investigating security incidents that require analyzing ransomware network indicators
- 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 conn.log files or NetFlow CSV/JSON exports
- Python 3.8+ with standard library
- TOR exit node list (fetched from Tor Project or threat intel feeds)
- Optional: Known ransomware C2 IOC list

## Steps

1. **Parse Connection Logs** — Ingest Zeek conn.log (TSV) or NetFlow records into structured format
2. **Detect Beaconing Patterns** — Calculate connection interval statistics (mean, stddev, coefficient of variation) to identify periodic callbacks
3. **Check TOR Exit Node Connections** — Cross-reference destination IPs against current TOR exit node list
4. **Identify Data Exfiltration** — Flag connections with unusually high outbound byte ratios to external IPs
5. **Analyze DNS Patterns** — Detect DGA-like domain queries and high-entropy subdomains
6. **Score and Correlate** — Apply composite risk scoring across all indicator types
7. **Generate Report** — Produce structured report with timeline and MITRE ATT&CK mapping

## Expected Output

- JSON report with beaconing detections and interval statistics
- TOR exit node connection alerts
- Data exfiltration flow analysis
- Composite ransomware risk score with MITRE mapping (T1071, T1573, T1041)
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