Breach Intelligence

6,480

Total breached databases

Pemiblanc 2018

In April 2018, a credential stuffing list containing 111 million email addresses and passwords known as Pemiblanc was discovered on a French server. The list contained email addresses and passwords collated from different data breaches and used to mount account takeover attacks against other services. Read more about the incident.
  • Data: Email Addresses Passwords
  • Records: 95,358,161
  • Lines: 98,139,632
  • Size: 2.9 GB
  • Passwords: Unknown

Collection #4 2019

The Collection #4 data breach is part of a larger series of data dumps, including Collections #1 through #5, which compiled email addresses and passwords from thousands of sources, from previously known data breaches and some new alleged breaches. Collection #1 alone contained about 2.7 billion records, including 1.2 billion unique email and password combinations, 773 million unique email addresses, and 21 million unique plaintext passwords. Additional collections, named Collections #2 through #5, along with "AP MYR&ZABUGOR #2" and "ANTIPUBLIC #1," were also discovered, significantly adding to the scope of compromised data​.
  • Data: Email Addresses Passwords
  • Records: 1,072,038,617
  • Size: 32.65 GB
  • Passwords: Plaintext

2,844 Database Collection Troyhunt 2018

In February 2018, a massive collection of nearly 3,000 alleged data breaches was discovered online. Among the 2,844 files, over 80 million unique email addresses were identified that had not been previously exposed. Each file contained email addresses paired with plain text passwords.
  • Data: Email Addresses Passwords
  • Records: 251,877,567
  • Size: 8.3 GB
  • Passwords: Plaintext

Cit0day 2020

In November 2020, a collection of more than 23,000 allegedly breached websites known as Cit0day were made available for download on several hacking forums. The data consisted of 226M unique email address alongside password pairs, often represented as both password hashes and the cracked, plain text versions. Independent verification of the data established it contains many legitimate, previously undisclosed breaches.
  • Data: Email Addresses Passwords
  • Records: 614,556,967
  • Lines: 615,238,877
  • Size: 27.92 GB
  • Passwords: Plaintext

Collection #3 2019

The Collection #3 data breach is part of a larger series of data dumps, including Collections #1 through #5, which compiled email addresses and passwords from thousands of sources, from previously known data breaches and some new alleged breaches. Collection #1 alone contained about 2.7 billion records, including 1.2 billion unique email and password combinations, 773 million unique email addresses, and 21 million unique plaintext passwords. Additional collections, named Collections #2 through #5, along with "AP MYR&ZABUGOR #2" and "ANTIPUBLIC #1," were also discovered, significantly adding to the scope of compromised data​.
  • Data: Email Addresses Passwords
  • Records: 166,728,000
  • Size: 6.22 GB
  • Passwords: Plaintext

Exploit.in 2016

In late 2016, a huge list of email address and password pairs appeared in a "combo list" referred to as "Exploit.In". The list contained 593 million unique email addresses, many with multiple different passwords hacked from various online systems. The list was broadly circulated and used for "credential stuffing", that is attackers employ it in an attempt to identify other online systems where the account owner had reused their password.
  • Data: Email Addresses Passwords
  • Records: 804,329,488
  • Lines: 805,499,579
  • Size: 24.28 GB
  • Passwords: Plaintext

Collection #2 2019

The Collection #2 data breach is part of a larger series of data dumps, including Collections #1 through #5, which compiled email addresses and passwords from thousands of sources, from previously known data breaches and some new alleged breaches. Collection #1 alone contained about 2.7 billion records, including 1.2 billion unique email and password combinations, 773 million unique email addresses, and 21 million unique plaintext passwords. Additional collections, named Collections #2 through #5, along with "AP MYR&ZABUGOR #2" and "ANTIPUBLIC #1," were also discovered, significantly adding to the scope of compromised data​.
  • Data: Email Addresses Passwords
  • Records: 3,472,161,295
  • Size: 105.53 GB
  • Passwords: Plaintext

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.