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mukul975
ef27f026cb
Added structured security framework mappings to SKILL.md frontmatter across all applicable skills: - atlas_techniques: MITRE ATLAS v5.5 AML.TXXXX IDs (81 skills, AI-targeted attack techniques) - d3fend_techniques: MITRE D3FEND v1.3 defensive technique labels (139 skills, mapped from ATT&CK IDs) - nist_ai_rmf: NIST AI RMF 1.0 subcategory IDs (85 skills, AI risk management functions) Also updates ATTACK_COVERAGE.md with coverage statistics for all three frameworks.
63 lines
2.5 KiB
Markdown
63 lines
2.5 KiB
Markdown
---
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name: analyzing-ransomware-network-indicators
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description: Identify ransomware network indicators including C2 beaconing patterns, TOR exit node connections, data exfiltration
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flows, and encryption key exchange via Zeek conn.log and NetFlow analysis
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domain: cybersecurity
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subdomain: threat-hunting
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tags:
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- ransomware
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- c2-beaconing
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- zeek
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- netflow
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- tor
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- exfiltration
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- network-forensics
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version: '1.0'
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author: mahipal
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license: Apache-2.0
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d3fend_techniques:
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- File Metadata Consistency Validation
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- Certificate Analysis
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- Application Protocol Command Analysis
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- Content Format Conversion
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- File Content Analysis
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---
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# Analyzing Ransomware Network Indicators
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## Overview
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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.
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## When to Use
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- When investigating security incidents that require analyzing ransomware network indicators
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- When building detection rules or threat hunting queries for this domain
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- When SOC analysts need structured procedures for this analysis type
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- When validating security monitoring coverage for related attack techniques
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## Prerequisites
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- Zeek conn.log files or NetFlow CSV/JSON exports
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- Python 3.8+ with standard library
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- TOR exit node list (fetched from Tor Project or threat intel feeds)
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- Optional: Known ransomware C2 IOC list
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## Steps
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1. **Parse Connection Logs** — Ingest Zeek conn.log (TSV) or NetFlow records into structured format
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2. **Detect Beaconing Patterns** — Calculate connection interval statistics (mean, stddev, coefficient of variation) to identify periodic callbacks
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3. **Check TOR Exit Node Connections** — Cross-reference destination IPs against current TOR exit node list
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4. **Identify Data Exfiltration** — Flag connections with unusually high outbound byte ratios to external IPs
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5. **Analyze DNS Patterns** — Detect DGA-like domain queries and high-entropy subdomains
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6. **Score and Correlate** — Apply composite risk scoring across all indicator types
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7. **Generate Report** — Produce structured report with timeline and MITRE ATT&CK mapping
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## Expected Output
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- JSON report with beaconing detections and interval statistics
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- TOR exit node connection alerts
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- Data exfiltration flow analysis
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- Composite ransomware risk score with MITRE mapping (T1071, T1573, T1041)
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