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Datasets:
Zia-Data-Labs
/
ZiaSyntheticDataMalware200M

Tasks:
Tabular Classification
Tabular Regression
Modalities:
Tabular
Text
Formats:
parquet
Languages:
English
Size:
100M - 1B
Tags:
cybersecurity
Synthetic
malware
malware-detection
endpoint-security
threat-detection
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
1

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Zia Malware Detection — 200M Synthetic Records

Dataset Description

A production-grade dataset containing over 200,000,000 rows of high-fidelity synthetic malware analysis events. Built specifically for training binary malware classifiers, multi-class family attribution models, and behavioral anomaly detectors — without exposing real binaries, live telemetry, or proprietary threat intelligence.

  • Massive Scale: 200M+ rows delivered in Parquet format
  • Rich Schema: 23 columns covering static, behavioral, and contextual malware signals
  • Realistic Distribution: 80% malicious / 20% benign — consistent with enterprise endpoint telemetry
  • Multi-Vendor Validation: Detection events span 8 industry-standard scan engines
  • Family Coverage: 8 malware families including Ransomware, Rootkit, Trojan, Backdoor, Worm, Spyware, Dropper, and Adware

Instant Free Sample

Test the data quality immediately. No account or signup required.

Download 50-Row Free Sample (CSV)

Access & Pricing

1. Full Dataset Access — $20.00

All 200,000,000 rows on Hugging Face.

2. Custom 1 Billion Row Dataset — $999.99

Built to your exact specifications. Contact zia.data.team@protonmail.com for details.

How to Load 

from datasets import load_dataset

ds = load_dataset("Zia-Data-Labs/ZiaSyntheticDataMalware200M")
print(ds['train'][0])

Data Schema & Fields

Field Name Data Type Description
sample_id string Unique record identifier (SID-XXXXXXXX)
file_name string Synthetic filename with realistic naming conventions
file_size_bytes int32 File size in bytes
file_type string Detected MIME/container type
file_extension string File extension as submitted
file_hash_md5 string MD5 hash (synthetic)
file_hash_sha256 string SHA-256 hash (synthetic)
label string Ground truth: malware or benign
malware_family string Family classification (Trojan, Rootkit, Ransomware, etc.)
malware_name string Specific malware variant name
confidence_score float32 Detection confidence score [0.0–1.0]
registry_modifications boolean Registry write activity detected
network_activity boolean Outbound or C2 network activity detected
obfuscation_detected boolean Code obfuscation or packing layer identified
sandbox_triggered boolean Behavioral sandbox alert triggered
signature_match boolean Known signature database match
file_entropy float32 Shannon entropy of file contents
is_packed boolean Packer detected
imported_api_count int32 Number of imported API calls
first_seen_date date Date the sample type was first observed (YYYY-MM-DD)
execution_timestamp timestamp Execution event timestamp (ISO 8601, UTC)
source_country string ISO 3166-1 alpha-2 country code of origin
scan_engine string Detection engine that processed the sample

Technical Specifications

  • Format: Apache Parquet
  • Total Records: 200,000,000 rows
  • Malicious / Benign Split: 80% / 20%
  • Scan Engines: Bitdefender, CrowdStrike, Kaspersky, SentinelOne, Sophos, Malwarebytes, ESET, Microsoft Defender
  • License: Proprietary / Custom Commercial
  • Producer: Zia Data Labs (2026)

Strictly Prohibited: Public redistribution, resale, or mirroring of the raw Parquet files is forbidden under our commercial terms.

Citation

Zia Data Labs, 2026. https://huggingface.co/datasets/Zia-Data-Labs/ZiaSyntheticDataMalware
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