10 / Cybersecurity
Moleaks — A leaked-data search platform
Deep search by email, phone number, domain and face recognition.
- 4search vectors — email, phone, domain, face
- M+rows scanned in seconds
- SSRfast, SEO-friendly UI on Next.js
01 / Overview
Moleaks is a verification tool for individuals and cybersecurity specialists. It shows whether their data appears in leaked databases on the internet or the dark web — an email address, a mobile number, a domain name or a face can be checked.
02 / The problem
People often learn that their data has leaked only after an account is compromised. Leak databases are scattered, unformatted and hold millions of rows, which makes manual checking impossible.
03 / Our approach
Search and analysis are separated. A .NET Core API handles thousands of simultaneous requests while heavy analysis runs in the background with Python and DeepScanner. Database indexing strategies let millions of rows be scanned in seconds.
04 / The result
Users can check an email, a phone number or a whole corporate domain and get a detailed report on the leak’s source, date and type.
05 / Key features
What it does.
- 01
Multi-parameter search
Fast checks across leaked databases by email, mobile number and IP address.
- 02
Domain analysis
Finds leaked accounts tied to a corporate or personal domain.
- 03
Face recognition search
Identifies people in internet images by facial features.
- 04
Deep scanning
Automated analysis of large volumes of leaked data.
- 05
Security reports
Detailed reports on each leak’s source, date and type.
06 / Architecture
How it is built.
Asynchronous processing
Python and DeepScanner run in the background, so large analyses never slow the main system.
Optimised database
MSSQL indexing lets millions of rows be scanned in seconds.
High-performance API
.NET Core securely handles thousands of concurrent search requests.
07 / Technology
Tech stack.
- Backend
- .NET Core API
- Frontend
- React
- Next.js (server-side rendering)
- Database
- MS SQL Server with indexing strategies
- Analysis
- Python
- DeepScanner
08 / Screens
2 screens from the product.
Select a screen to see it full size.
