Breach Intelligence

3,152

Total breached databases

Americannationwide.com 2018

Americannationwide.com 2018

In November 2018, American Nationwide Mortgage Company, Inc., a US-based mortgage lender offering a range of home loan programs, reportedly suffered a data breach. Reports suggest that approximately 1 million records were compromised, with the exposed dataset described as a CSV file containing over 1.4 million lines. It is believed that the breach involved unauthorized access to sensitive customer and property-related information.

Among the compromised data were names, email addresses, phone numbers, geographic locations, genders, and birthdates. Some of the leaked data also includes bank account information. Additionally, the exposed information reportedly consisted of detailed real estate and mortgage data, such as property purchase and construction years, property value ranges, mortgage amounts, lender names, interest and loan types, loan-to-value ratios, and related mortgage file details.
  • Data: Bank Account Information Birthdates Genders Geographic Locations Names Phone Numbers
  • Records: 1,000,000
  • Lines: 1,000,001
  • Size: 150.56 MB
  • Passwords: No

Check if your data appears in this data breach!

Fields count statistics

Numbers may not be precise, a precision threshold of 100 is used to determine if a field is unique.

geo.region top values

gender top values

geo.city top values

Only the top 100 values are displayed in the chart.
Values with less than 100 occurrences are not displayed.

Frequently Asked Questions

A data breach is unauthorized access to data (often involving account takeover, malware, or misconfigured infrastructure). A data leak is exposure of data due to mistakes like public cloud storage, open databases, or accidental publishing. A database dump is a packaged dataset that may come from a breach, leak, scraping, or aggregation.

Change passwords for any affected accounts immediately, prioritizing email, banking, and any account that shares the same password. Enable multi-factor authentication wherever possible. Monitor your accounts for suspicious activity and consider placing a fraud alert or credit freeze if financial data was exposed.

Start with containment and verification: confirm what data was exposed, identify the entry point, rotate credentials (especially SSO, VPN, email), and enforce MFA. Then investigate affected systems, notify stakeholders as required, and harden controls to prevent recurrence. A structured incident response plan helps keep the work measurable and compliant.

Dark web monitoring helps you spot exposure signals early — before stolen data is widely reused for account takeover or targeted attacks. Monitoring complements vulnerability management by revealing when attackers already have leverage. Pair it with continuous attack surface monitoring and strong Asset Discovery to reduce blind spots.

Not always. Some datasets are old, incomplete, or derived from third parties. However, any exposure increases risk because credentials and personal data can be reused indefinitely. Treat it as a priority signal: rotate credentials, enforce MFA, review suspicious logins, and audit the systems that could have produced the data.

SynScan helps you connect the dots between attack surface exposure, vulnerabilities, and breach signals so you can prioritize remediation and reduce the chance of repeat incidents.