Summary
This website contacted 2 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is oasys-pe.com and was registered NaN years ago.
Submitted URL: https://s48.mcpesrv.com
Effective URL: https://oasys-pe.com/Redirected
The Cisco Umbrella rank of the primary domain is #492,877 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site shows no malicious indicators and is a legitimate Minecraft server page.
Safety Factors
Details
Page Title
OasysPE - Лучшие сервера для Minecraft: PE > Гриферство с донатом!
Scan Type
public
Language
ET
Category
cryptocurrency blockchain
(79%)Domain Information
The domain name 's48.mcpesrv.com' uses the commercial generic top-level domain (.com) with subdomain 's48'. Count 7 characters in 'mcpesrv' with one vowel and 6 consonants. Word splitting yields three words: mc, pes, rv. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 15 | 51.83.141.120 | France | AS16276OVH SAS |
| 14 | 142.251.13.95 | United States | AS15169Google LLC |
| 29 | 2 | - | - |
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data