Breach Intelligence

6,874

Total breached databases

AntiPublic #1 2016

ANTIPUBLIC is a large aggregated credential compilation (a combo list rather than a single-site breach) that circulated within online hacking communities around 2016. It reportedly compiled email address and plaintext password pairs harvested from thousands of previously-breached and credential-stuffing sources. Reports suggest this data set contains approximately 478 million email and password records, spanning more than 341 million unique email addresses.
  • Data: Email Addresses Passwords Usernames
  • Records: 477,890,227
  • Lines: 479,310,893
  • Size: 14.11 GB
  • Passwords: Plaintext

Malaysia - Mixed Data 2017

Sometime around 2017, a compilation of data from multiple Malaysian sources was leaked. This massive data collection includes records from the telecommunications industry, financial institutions, government benefits, and more, aimed at Malaysian citizens and residents. Reports suggest the breach involved approximately 158 million lines of data, with about 54 million unique phone numbers. Among the compromised data were names, phone numbers, physical locations, and government ID numbers.
  • Date: 2017
  • Country: Malaysia
  • Category: Compilations & Combo lists
  • Data: Names Phone Numbers Physical Locations Government IDs
  • Records: 158,036,649
  • Lines: 158,036,650
  • Size: 29.2 GB
  • Passwords: No

ANTIPUBLIC #1 2016

In December 2016, a large "combo list" known as "Anti Public" surfaced, containing 458 million unique email addresses along with numerous password pairs taken from various online systems. The dataset was widely circulated and primarily used for credential stuffing, a technique where attackers attempt to gain access to other online accounts by exploiting password reuse.
  • Data: Email Addresses Passwords
  • Records: 1,540,817,915
  • Lines: 1,545,422,902
  • Size: 47.27 GB
  • Passwords: Plaintext

Collection #1 2019

In January 2019, a massive collection of credential stuffing lists was discovered being distributed on a popular hacking forum. The dataset reportedly contained nearly 2.7 billion records, including 773 million unique email addresses paired with passwords that had been used on other breached services.
  • Data: Email Addresses Passwords
  • Records: 1,190,373,098
  • Size: 36.73 GB
  • Passwords: Plaintext

AP MYR & ZABUGOR #2 2016

This collection 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: 260,018,567
  • Lines: 260,044,758
  • Size: 7.61 GB
  • Passwords: Plaintext

Collection #5 2019

The Collection #5 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: 643,772,349
  • Size: 20.82 GB
  • Passwords: Plaintext

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: Plaintext, Unknown

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.