Security Scan Report: spherapedia-u9il07x4jq.edgeone.app

Submitted: Apr 21, 2026, 4:06:48 AMCompleted: Apr 21, 2026, 4:07:57 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 24 HTTP transactions. The main domain is spherapedia-u9il07x4jq.edgeone.app and was registered NaN years ago.

Submitted URL: https://spherapedia-u9il07x4jq.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 80%

5
Risk Score

The site mimics Telegram on a low‑ranked edgeone.app subdomain with unknown age, indicating high risk of brand impersonation.

Risk Factors
Brand impersonation / typosquatting
Low domain ranking for a major brand
Unknown subdomain age on a hosting platform
Potentially new subdomain (high suspicion)
No legitimate brand domain
Safety Factors
Established domain (1077 days old) with no strong malicious indicators — risk clamped from 7 to 5
Domain age information unavailable

Details

Page Title

Сферапедия

Scan Type

public

Language

🇷🇺

Russian

(80% confidence)

Category

social media network

(65%)

Domain Information

The domain 'spherapedia-u9il07x4jq.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'spherapedia-u9il07x4jq'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and three consonants. Breaking it apart gives 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://spherapedia-u9il07x4jq.edgeone.app/

Page Load Overview

1.05s
Total Load Time
24
HTTP Requests
2
Domains
3.7 MB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:80%
Script:Cyrillic
Direction:ltr

Detection Details

Language Code:ru
Detection Confidence:80%
Script Type:Cyrillic
HTML Lang Attribute:ru
Text Length:1,341 chars
Detector Agreement:50%

Website Classification

Primary Category

social media network65% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
65%
news media journalism
60%
entertainment media
59%
adult content
38%
government public service
35%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1246.105.222.162Lille, Hauts-de-France, France
AS16276OVH SAS
1243.152.26.58Singapore
242--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B703F732A1E220F20653B09BF496BF4C7672807FFB87970079AC5A643FC6DE4993551A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:W1ND/UZOsigQMh5ffMvIVTex84+mIuaQaC9lfqTdAVesVkGcLCRlZ64p:QMZOsigQg5ffMvIVTe+4+mIuaQaC9lfZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40446:gASwqaOGEoYAJBF1IEGqQKTQUKIEMHob5RgCE2EMAAgFbA0DMSAECJYtBwsYAlu84EgIQcFBswAIYANiGQAkAEQy+kCCFAAA

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

Average Hash:183c3c3c3c3c3c00
Perceptual Hash:8bdf34cd307c3330
Difference Hash:7169696969696961
Wavelet Hash:3c3c3c3c3c3c3c39
Color Hash:#5540bf

Scan History

Scan history not available

Unable to load historical scan data