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koushikcs09/mitre-attack-synthetic-scenarios

MITRE ATT&CK Synthetic Scenario Logs v3.0 Expanded Dataset: 30 scenarios × 8 events = 240 synthetic events Axis Coverage Environment endpoint, cloud, SaaS, identity, CI/CD, OT/IoT Actor Type external_apt, ransomware, insider, compromised_vendor, careless_admin, automated_threat Intent exfiltration, impact, fraud, persistence, reconnaissance, cryptomining, espionage Detection Source EDR, IAM, SIEM, DLP, DNS, proxy, cloud_audit, email_gateway, CASB, NDR, PAM… See the full description on the dataset page: https://huggingface.co/datasets/koushikcs09/mitre-attack-synthetic-scenarios.

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MITRE ATT&CK Synthetic Scenario Logs v3.0

Expanded Dataset: 30 scenarios × 8 events = 240 synthetic events

AxisCoverage
Environmentendpoint, cloud, SaaS, identity, CI/CD, OT/IoT
Actor Typeexternalapt, ransomware, insider, compromisedvendor, carelessadmin, automatedthreat
Intentexfiltration, impact, fraud, persistence, reconnaissance, cryptomining, espionage
Detection SourceEDR, IAM, SIEM, DLP, DNS, proxy, cloudaudit, emailgateway, CASB, NDR, PAM, firewall
Responsemonitor, investigate, contain_manually, harden, notify
Business Impactlow, moderate, high, severe
Asset CriticalityTier-0, Tier-1, standard

Files

FileDescription
v3/synthetic_attack_scenarios_v3.csv240 rows × 34 columns
v3/synthetic_attack_scenarios_v3.jsonFull dataset with metadata
v3/gen_master.py30-scenario definition script
v3/generate_dataset.pyGenerator script (240 events, safety checks)

Safety

  • —All data synthetic — no real attacks, no real systems compromised
  • —RFC 5737/1918 IPs only
  • —Fictitious users, organizations, credentials
  • —is_synthetic=True, academic_use_only=True, no_real_attack_executed=True

License

MIT — Academic use only

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Generated by ML Intern

This dataset repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.

  • —Try ML Intern: https://smolagents-ml-intern.hf.space
  • —Source code: https://github.com/huggingface/ml-intern

Usage

python
from datasets import load_dataset

dataset = load_dataset('koushikcs09/mitre-attack-synthetic-scenarios')