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Datasets:
Zia-Data-Labs
/
PenetrationTesting200M

Tasks:
Tabular Classification
Tabular Regression
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
100M - 1B
Tags:
cybersecurity
Synthetic
penetration-testing
web-application-security
vulnerability-management
owasp
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
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PenetrationTesting200M / README.md
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metadata 
license: other
license_name: proprietary-commercial
task_categories:
  - tabular-classification
  - tabular-regression
language:
  - en
tags:
  - cybersecurity
  - synthetic
  - penetration-testing
  - web-application-security
  - vulnerability-management
  - owasp
  - cvss
  - appsec
  - red-team
  - security-analytics
  - parquet
  - large-scale
  - simulation
  - soc
  - grc
size_categories:
  - 100M<n<1B
pretty_name: Zia Penetration Testing — 200M Synthetic Records
gated: true
extra_gated_heading: Access Verification Required
extra_gated_description: >-
  To access this 200M row dataset, you must first complete the $20.00 access fee
  via PayPal and provide your payment details below.
extra_gated_button_content: Request Access
extra_gated_fields:
  PayPal Transaction ID or Payer Email: text

Zia Penetration Testing — 200M Synthetic Records

Dataset Description

A production-grade synthetic dataset containing 200,000,000 rows of high-fidelity web application penetration testing findings. Generated by Zia Data Labs for machine learning engineers, cybersecurity researchers, and application security teams.

  • Massive Scale: 200M rows across 10 Parquet files (~12 GB total, Snappy compression). Simulates a full enterprise vulnerability management pipeline at production scale.
  • Full OWASP Top 10 Coverage: Every record maps to the OWASP Top 10 2021 framework including Broken Access Control, Injection, Cryptographic Failures, and more.
  • Dual CVSS + Severity Scoring: Every record includes a CVSS v3.1 base score, full vector string, and qualitative severity label.
  • Complete Vulnerability Lifecycle: Each finding covers discovery through remediation — asset context, HTTP method, vulnerable parameter, discovery method, remediation guidance, SLA deadlines, and current status.

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, split across 10 Parquet files.

2. Custom 1 Billion Row Dataset — $999.99

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

Need enterprise-scale licensing? Contact zia.data.team@protonmail.com — custom quotes available with bulk pricing.

How to Load 

from datasets import load_dataset

ds = load_dataset("Zia-Data-Labs/SyntheticDataPenetrationTesting200M")
print(ds['train'][0])

Data Schema & Fields

Field Name Data Type Description
finding_id string Unique finding identifier
vulnerability_name string Short descriptive title
owasp_category string OWASP Top 10 2021 mapping
cve_id string CVE identifier if applicable
cwe_id string CWE identifier
cvss_version string CVSS framework version (3.1)
cvss_base_score float32 CVSS base score (0.0-10.0)
cvss_vector_string string Full CVSS v3.1 vector string
severity_label string Critical, High, Medium, Low
likelihood string Exploitation probability
target_asset_name string Host, application, or service name
asset_type string Web Application, REST API, GraphQL API, etc.
asset_criticality string Business importance of the asset
affected_url_path string Endpoint or file path containing the vulnerability
http_method string GET, POST, PUT, DELETE, PATCH
request_headers string Relevant request headers
api_version string API version of the affected endpoint
vulnerable_parameter string Specific input field or variable at fault
discovery_method string Manual Pentest, SAST, DAST, SCA
proof_of_concept string Abstracted attack pattern description
evidence_screenshot_ref string Simulated evidence artifact reference
remediation_guidance string Actionable remediation instructions
remediation_effort string Low/Hours, Medium/Days, High/Weeks
status string Open, In Progress, Remediated, etc.
date_discovered string ISO 8601 discovery date
target_remediation_date string SLA-based remediation deadline
environment string Production, Staging, UAT, Development
pentest_team string Team or vendor that identified the finding
description string Detailed technical description

Technical Specifications

  • Format: Apache Parquet (Snappy compression), 10 sharded files
  • Total Records: 200,000,000
  • Total Size: ~12 GB
  • Columns: 29
  • 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/SyntheticDataPenetrationTesting200M