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mukul975 cb8d79e068 Map all 754 skills to MITRE ATT&CK v19.1

- Add validated mitre_attack frontmatter to all 754 skills (286 distinct
  techniques), verified against MITRE ATT&CK v19.1 via the official
  mitreattack-python library: 0 revoked, deprecated, or invalid IDs
- Curate precise per-skill technique IDs for forensics, malware-analysis,
  threat-intel, and red-team skills (e.g. DCSync -> T1003.006,
  Kerberoasting -> T1558.003, Pass-the-Ticket -> T1550.003)
- Reconcile v19.1 tactic restructuring: Defense Evasion split into
  Stealth (TA0005) and Defense Impairment (TA0112); revoked T1562.*
  family and T1070.001/.002 remapped to active equivalents (T1685.*)
- Normalize word-split tags across 35 skills (remove filename-derived
  stopword tags, add semantic cybersecurity tags)
- Add api-reference.md for 3 skills that were missing it
- Update README ATT&CK section with accurate v19.1 tactic distribution

2026-06-01 12:13:29 +02:00

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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

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