Breach Intelligence

2,850

Total breached databases

In March 2025, a massive data breach exposed the details of 2.87 billion Twitter (now X) users, marking one of the largest social media leaks in history. The breach, allegedly orchestrated by a disgruntled former employee during mass layoffs, involved 400GB of sensitive user data, including account creation dates, user IDs, screen names, follower counts, and profile descriptions. The leaked dataset also incorporated information from a prior 2023 breach affecting 209 million users, expanding its scope. Despite attempts by the hacker "ThinkingOne" to alert X about the issue, the company reportedly ignored the warnings, prompting the public disclosure of the data. Questions remain about how the dataset reached such a staggering size, far exceeding X's active user base, with speculation pointing to historical or aggregated records.
  • Data: Bios Email Addresses Geographic Locations Languages Site Activity Usernames Websites
  • Imported:
  • Records Imported: 3,069,134,694
  • Number of lines: 3,279,342,453
  • Size: 427 GB
  • Passwords: No

Fields count statistics

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

domain 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.