Data Types & Breach Categories
Data Types at a Glance
SpyCloud classifies each dataset into one of three main data types:
BREACH
Data taken from a known organization or domain, including exfiltrated employee or customer information ā often structured, curated, and cleaned.
š§ Breach Categories
SpyCloud further classifies breach datasets into sub-categories using two fields:
breach_main_categorybreach_category
These categories provide added context for the type of exposure, behavior, or source.
šļø Combolist
Credential and password pairs (username:password or email:password) found on paste sites, forums, or combolists ā often without attribution to a specific breach. Many contain recycled credentials from older exposures or breached datasets.
š Exfiltrated
Breaches that have been exfiltrated by threat actors from an identifiable organization, often including customer records, user databases, or internal employee info. Typically has a known breach name and metadata.
š Exposed
Publicly accessible or misconfigured data stores (e.g., open S3 buckets, FTPs) ā found unintentionally but can contain sensitive credentials or personal data.
š£ Phished
Credentials harvested through phishing campaigns, kits, or spoofed login portals. Often limited in structure but high-fidelity in intent.
š§¹ Scraped
Usernames, emails, and account metadata scraped from public websites (e.g., social media, forums) ā not stolen directly, but aggregated at scale.
šŖ Malware
Data captured from infected machines, including:
- Login credentials
- Cookies
- Autofill data
- Browsing history
- Wallet credentials
- Device fingerprinting
Collected using infostealer malware such as Redline, Raccoon, Vidar, etc. Richest and most behaviorally complete dataset type in the SpyCloud corpus.
Updated 12 months ago