Breach Intelligence

6,875

Total breached databases

UM.ac.id (cakrajb subdomain, multi-system DB) 2025

UM.ac.id (cakrajb subdomain, multi-system DB) 2025

Sometime before 2025, a database tied to subdomains of Universitas Negeri Malang (um.ac.id), an Indonesian public university, was allegedly leaked. Reports suggest the exposed data spanned numerous internal subsystems (student, admissions, training, catering and WordPress databases) and covered approximately 24,000 individuals. It has been reported that the compromised records included email addresses, names, usernames, phone numbers, physical addresses, government IDs, dates, and both plaintext and hashed passwords (bcrypt, phpass and MD5).
  • Date: 2025
  • Domain: um.ac.id
  • Country: Indonesia
  • Category: Education
  • Data: Email Addresses Passwords Names Phone Numbers Geographic Locations Usernames Government IDs IP Addresses Site Activity Social Profiles Websites Company Information
  • Records: 40,503
  • Lines: 40,565
  • Size: 9.63 MB
  • Passwords: Plaintext, BCrypt, MD5, PHPass

Check if your data appears in this data breach!

Fields count statistics

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domain top values

password.plain top values

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Values with less than 100 occurrences are not displayed.

Leaked credentials are one way in

Breaches like UM.ac.id (cakrajb subdomain, multi-system DB) 2025 expose accounts, but attackers also look for forgotten subdomains, open services and unpatched software. Attack surface management maps that external exposure continuously.

What is attack surface management? →

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.