HaveIBeenPwned / Data Breach Search Actor

Check if an email address has been exposed in historical data breaches, credential leaks, and public dumps. Searches over 10 billion records using a high-speed developer gateway while automatically filtering out brand logos and heavy metrics noise.

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🔒 Features

• Extensive Historical Coverage: Checks against underground hacking forums, combo lists, public paste sites, and large-scale platform breaches.
• Lightweight JSON: Strips out brand logos, verbose analytics charts, and tracking variables to provide clean, structured data.
• Parsed Arrays: Delimited exposure fields are parsed into JSON arrays (xposed_data) automatically.
• Fast Execution: Returns parsed results within seconds, ideal for integration with SOC workflows.

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🛠️ Input Configuration

The actor accepts a single email address:

• email (String, Required): The target email address to scan (e.g. jeff@amazon.com).

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📊 Output

The actor outputs the full structured summary into the default Key-Value Store under the OUTPUT key, and pushes individual breach items into the default Dataset for easy exporting (Excel, CSV, JSON).

Example Output Item in Dataset:

{
  "breach": "SocialEngineered",
  "details": "A data breach occurred at Social Engineered, a forum focused on social engineering and cybersecurity in 2019. The breach resulted in the exposure of user account information, including usernames, email addresses, and hashed passwords.",
  "domain": "socialengineered.net",
  "industry": "Miscellaneous",
  "password_risk": "easytocrack",
  "references": "https://www.zdnet.com/article/user-data-stolen-from-human-hacking-forum-social-engineered-published-on-rival-site/",
  "searchable": true,
  "verified": true,
  "xposed_data": [
    "Usernames",
    "Phone numbers",
    "Private messages",
    "Email addresses",
    "IP addresses"
  ],
  "xposed_date": "2019",
  "xposed_records": 89409,
  "added": "2023-11-08T06:30:26+00:00"
}

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💳 Pricing & Charging Policy

This actor utilizes a Pay-Per-Event (PPE) pricing model:

• Price per search: $0.005 per query.
• Charges are applied for every successful run executed, regardless of whether breaches are found.