ZainNadeem7/Cybersec-Mutli-domain

Creator: Zain Nadeem
Role: Python Django Developer | Software Engineer | Prompt Engineer | Ethical Hacker
License: CC BY 4.0
Records: ~220,000
Format: JSONL
Language: English

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📌 Overview

The CyberSec Multi-Domain Dataset is a structured collection of synthetic and open-source cybersecurity data across five important domains. It is designed for building, testing, and benchmarking machine learning models in cybersecurity, threat intelligence, and automation systems.

This dataset helps researchers and developers simulate real-world cyber threat environments while ensuring data privacy.

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📂 Included Domains

Domain	Description
Phishing URLs	Malicious URLs used in phishing attacks
Malware Hashes	SHA-256 hashes of known malware binaries
CVE Vulnerabilities	Common Vulnerabilities and Exposures (CVE) entries
Scam Emails	Spam and scam emails including headers/content
Intrusion Logs	Simulated intrusion alerts from NIDS systems

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📄 File Structure

The dataset consists of five JSONL files:

• phishing.json
• malware_hashes.json
• vulnerabilities.json
• scam_emails.json
• intrusion_logs.json

Each file contains line-delimited JSON (.jsonl) where each line is a structured object related to its domain.

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💡 Sample Entry

🔐 Intrusion Log Example

{
  "src_ip": "192.168.10.5",
  "dst_ip": "10.0.0.7",
  "protocol": "TCP",
  "alert": "ET SCAN Potential SSH Scan",
  "timestamp": "2025-06-18 13:01:22",
  "label": "intrusion",
  "domain": "intrusion"
}


🧠 Use Cases
✅ Train phishing or malware detection models
✅ Develop spam and scam email classifiers
✅ Test log analyzers and SIEM tools
✅ Build security research prototypes
✅ Train intrusion detection ML systems
✅ Practice on synthetic but realistic cybersecurity data

📜 License
This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0).
Attribution is required: Zain Nadeem

🤝 Contributions
If you'd like to contribute, improve, or collaborate, please reach out via Hugging Face or submit feedback through the dataset discussion tab.