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Datasets:
AYI-NEDJIMI
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ransomware-playbooks-en

Tasks:
Question Answering
Text Classification
Languages:
English
Size:
n<1K
Tags:
cybersecurity
ayinedjimi-consultants
en
ransomware
incident-response
malware
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Ransomware Playbooks - English Dataset

A comprehensive bilingual (FR/EN) dataset containing detailed and operational information about ransomware groups, incident response playbooks, and structured Q&A on cybersecurity and ransomware attack response.

Overview

This dataset provides a complete resource for security teams, CISOs, and DFIR (Digital Forensics and Incident Response) professionals to understand, detect, and respond to modern ransomware attacks.

Main Content

1. 40+ Ransomware Groups (data_ransomware_groups.py)

Detailed profiles of active and historical ransomware families:

  • LockBit 3.0 - Dominant group shaping ransomware landscape with sophisticated RaaS infrastructure
  • BlackCat/ALPHV - Rust-based ransomware with evolving techniques
  • Cl0p - Zero-day supply-chain vulnerability exploiter
  • Royal - SME-focused approach with distributed infrastructure
  • Play - Rapid attacks with no communication timeframe
  • Akira - Emerging group leveraging VPN vulnerabilities
  • BlackBasta - Professional group offering premium RaaS services
  • Rhysida - Emerging group targeting public sector
  • Medusa - Evasive techniques against modern EDR
  • Vice Society - Healthcare/education focus without systematic encryption
  • Hive - Sophisticated RaaS platform (dismantled)
  • Conti - Historical ransomware landscape dominator (dissolved)
  • ... and 26 more groups

Fields per group:

  • id: unique identifier
  • name: group/family name
  • aliases: list of aliases used
  • first_seen: year of first observation
  • status: Active, Disbanded, Rebranded
  • description_fr / description_en: bilingual descriptions
  • ttps_fr / ttps_en: detailed tactics, techniques, procedures
  • initial_access_vector: Phishing, RDP, VPN_Exploit, Supply_Chain, Drive_By
  • encryption_type: AES-256, RSA-2048, ChaCha20, Hybrid
  • double_extortion / triple_extortion: booleans
  • targeted_sectors: Healthcare, Finance, Government, Manufacturing, Education
  • mitre_techniques: MITRE ATT&CK ID list (T1566, T1190, T1021, etc.)
  • iocs: indicators of compromise (domains, extensions, ransom notes)

2. 20 Incident Response Playbooks (data_playbooks.py)

Step-by-step operational procedures for 6 incident response phases:

Playbooks by phase:

Preparation:

  1. EDR & Security Hardening - Detection infrastructure hardening
  2. Incident Response Plan Development - Documented response plan
  3. Backup & Recovery Strategy - 3-2-1 isolated backup strategy

Detection: 4. Anomaly Detection & Alerting - ML detection and event correlation 5. File Integrity Monitoring - Critical file integrity monitoring

Containment: 6. Network Segmentation & Isolation - Infected systems isolation via VLAN 7. Credential Management & Reset - Compromised credentials reset 8. Malicious Process Termination - Malicious process termination

Eradication: 9. Complete Malware Eradication - Complete malware removal 10. Vulnerability Patching & Hardening - Exploitation vulnerability fixes 11. Network Infrastructure Cleanup - Network cleanup (C2, DNS)

Recovery: 12. System Restoration from Backups - Restoration from backups 13. Application & Data Validation - Restored app/data validation 14. Business Continuity Restoration - Business continuity restoration

Lessons Learned: 15. Post-Incident Forensic Analysis - Complete post-incident forensic analysis 16. Threat Intelligence & Attribution - Group attribution and intelligence sharing 17. Incident Review & Process Improvement - Post-mortem review and improvement 18. Security Culture & Training Enhancement - Awareness improvement

Fields per playbook:

  • id: unique identifier
  • name: playbook name
  • phase: Preparation, Detection, Containment, Eradication, Recovery, LessonsLearned
  • description_fr / description_en: bilingual descriptions
  • steps: action list (step_num, action_fr, action_en, responsible, priority)
  • tools_required: required tools
  • decision_tree_fr / decision_tree_en: if/then decision tree

3. 50 French Q&A (data_qa_fr.py)

Structured questions-answers covering all ransomware aspects in French

4. 50 English Q&A (data_qa_en.py)

Structured questions-answers covering all ransomware aspects in English:

  • Ransomware attack anatomy
  • Initial access vectors
  • Encryption techniques
  • Detection and alerting
  • Forensic investigation
  • DFIR tools
  • Anti-forensics
  • EDR/XDR solutions
  • Defense strategies
  • Incident response planning
  • Compliance and insurance
  • Personnel awareness

Fields per Q&A:

  • id: unique identifier
  • question: question in language
  • answer: detailed answer
  • source_url: link to complete source article
  • keywords: indexing keywords

Complete Resources

Primary Whitepaper

Complete Anatomy of Ransomware Attack

Comprehensive document covering:

  • Historical evolution of ransomware since WannaCry (2017)
  • Detailed ransomware attack chain anatomy
  • Profiles of 40+ active groups in 2025
  • Documented TTP techniques
  • Modern detection strategies
  • Complete incident response plans
  • Real-world attack case studies

Specialized Articles

  1. Forensics: Anti-Forensic Evasion

    • Log and artifact deletion
    • Fileless malware
    • Living-off-the-land binaries
    • EDR bypasses

  2. Forensics: Memory Forensics

    • RAM memory analysis with Volatility
    • In-memory malware detection
    • Runtime info extraction (tokens, keys)
    • Essential profiles and commands

  3. Report: Top 10 EDR/XDR Solutions 2025

    • Comparison of CrowdStrike, Microsoft Defender, SentinelOne
    • Ransomware detection features
    • ROI and implementation costs
    • Selection matrix by organization size

  4. DFIR: Tools Comparison

    • Volatility, Autopsy, EnCase, FTK
    • Wireshark for network analysis
    • YARA for pattern matching
    • Splunk for log centralization

Author Profile

AYI-NEDJIMI Consultants

Cybersecurity, DFIR, threat intelligence expert with experience in Fortune 500 ransomware incident response.

Usage

Installation 

# Clone repository
git clone https://github.com/AYI-NEDJIMI/ransomware-playbooks.git
cd ransomware-playbooks

# Install dependencies
pip install pandas pyarrow huggingface_hub

Dataset Generation 

# Generate French dataset
python generate_dataset.py fr

# Generate English dataset
python generate_dataset.py en

# Generated files in output_fr/ and output_en/:
# - ransomware_groups.json/.parquet
# - response_playbooks.json/.parquet
# - qa_dataset.json/.parquet
# - combined_dataset.json
# - statistics.json

HuggingFace Upload 

# Verify HF token
export HF_TOKEN="your_hf_token"

# Dry-run (see files to upload)
python upload_to_hf.py fr --dry-run

# Actual upload French
python upload_to_hf.py fr

# Actual upload English
python upload_to_hf.py en

Access via HuggingFace Hub 

from datasets import load_dataset

# Load French dataset
dataset_fr = load_dataset('AYI-NEDJIMI/ransomware-playbooks-fr')

# Load English dataset
dataset_en = load_dataset('AYI-NEDJIMI/ransomware-playbooks-en')

# Access data
groups = dataset_en['ransomware_groups']
playbooks = dataset_en['playbooks']
qa = dataset_en['qa']

# Filter by active groups
active_groups = [g for g in groups if g['status'] == 'Active']

# Find playbooks by phase
containment_playbooks = [p for p in playbooks if p['phase'] == 'Containment']

Data Format

JSON:

{
  "id": "lockbit3",
  "name": "LockBit 3.0",
  "aliases": ["LockBit", "LockBit Black"],
  "first_seen": 2019,
  "status": "Active",
  "description_en": "...",
  "encryption_type": "AES-256",
  "double_extortion": true
}

Parquet:

  • Columnar format optimized for analytical queries
  • Compression and improved performance
  • Compatible with Pandas, Polars, DuckDB

Statistics

Ransomware Groups

  • Total: 40+ families
  • Active: 30+ groups operating in 2025
  • Dismantled: 8 groups (Hive, Conti, DarkSide, REvil, etc.)
  • Rebranded: 3 groups (Babuk → Tortilla, ALPHV → BlackCat)

Encryption

  • AES-256: 85% of groups (fast, standard)
  • Hybrid (AES+RSA): 12% of groups (enhanced security)
  • ChaCha20: 3% of groups (optimization)

Targeted Sectors

  1. Finance: 25% of attacks
  2. Healthcare: 30% (highest volume/impact)
  3. Government: 20% (critical infrastructure)
  4. Manufacturing: 18% (production disruption)
  5. Education: 7% (student data)

Initial Access Vectors

  1. Phishing: 40% (malicious email)
  2. Exposed RDP: 25% (brute force)
  3. VPN/Appliance Exploit: 20% (vulnerabilities)
  4. Supply-Chain: 10% (trusted partners)
  5. Drive-By Downloads: 5% (malvertising)

Tags and Collection

Tags:

  • ransomware
  • incident-response
  • threat-intelligence
  • malware
  • cybersecurity
  • dfir
  • ayinedjimi-consultants

Collection: Ransomware Security - Complete ransomware resources collection

License

CC-BY-4.0 (Creative Commons Attribution 4.0)

Free to use with attribution to AYI-NEDJIMI Consultants

Changelog

v1.0 (2025-02-13)

  • 40+ ransomware group profiles
  • 20 incident response playbooks
  • 50 French Q&A, 50 English Q&A
  • JSON/Parquet support
  • HuggingFace Hub integration

Contact & Support

Contributions & Feedback

Contributions welcome! Please:

  1. Fork repository
  2. Create feature branch
  3. Add/modify data
  4. Validate JSON syntax
  5. Submit pull request with description

Last Updated: 2025-02-13 Version: 1.0 Maintained by: AYI-NEDJIMI Consultants

Author

Ayi NEDJIMI - Cybersecurity Consultant & Trainer | AI Expert

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Part of the Collection

This dataset is part of the Cybersecurity Datasets & Tools Collection by AYI-NEDJIMI Consultants.

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