Breach Intelligence

3,356

Total breached databases

Zara 2026

Zara 2026

In April 2026, the fashion retailer Zara (zara.com) was allegedly impacted by a data breach attributed to the ShinyHunters extortion group, reportedly stemming from a compromise of the Anodot analytics platform. Reports suggest the published data comprised roughly a terabyte of customer-support ticket records. Approximately 258,000 unique individuals were affected, with exposed data including email addresses, the geographic market each support ticket originated from, and associated order information. It has been reported that the incident did not affect passwords or payment information.
  • Data: Email Addresses Geographic Locations Order Information
  • Records: 359,866
  • Lines: 95,165,570
  • Size: 23.37 GB
  • Passwords: No

Check if your data appears in this data breach!

Fields count statistics

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domain top values

geo.country top values

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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.