Security Scan Report: senior-aquamarine-sg9ykopk-dpoglaoof3ed.edgeone.app

Submitted: Jun 15, 2026, 5:27:32 PMCompleted: Jun 15, 2026, 5:30:46 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is senior-aquamarine-sg9ykopk-dpoglaoof3ed.edgeone.app and was registered NaN years ago.

Submitted URL: https://senior-aquamarine-sg9ykopk-dpoglaoof3ed.edgeone.app/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Отметь за Глеб Щербаков!

Scan Type

public

Language

🇷🇺

Russian

(80% confidence)

Category

entertainment media

(51%)

Domain Information

Within the application-focused generic top-level domain (.app), 'senior-aquamarine-sg9ykopk-dpoglaoof3ed.edgeone.app' is registered; it also runs on subdomain 'senior-aquamarine-sg9ykopk-dpoglaoof3ed'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and three consonants. Word splitting yields two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://senior-aquamarine-sg9ykopk-dpoglaoof3ed.edgeone.app/

Page Load Overview

N/A
Total Load Time
2
HTTP Requests
0
Domains
N/A
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:1,326 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media51% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
51%
technology software
36%
government public service
36%
adult content
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1185.73.195.116Moscow, Moscow, Russia
AS44386LLC Internet Solutions
1101.33.10.10Frankfurt am Main, Hesse, Germany
02--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18092B76545F30091A813E495FF739B4923A5942BC90FCA297BEC628C5FCAB64F9D270C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:WSiT9iwEvLFnjOj8CuU8Zt/DORixRHZcCUhls0:WSiT9i5zFnjOj8CuU8/6RixRHOF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20748:oECGIXgEMIRISwBCBKrR6AQqGEJoEnE7EBCpQApWCGBYtqiEFHOwjIViaBDigFrGwwA4YNRQwVQBBANwOAQIkaYAhABCIcEJ

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:1919192636372519
Perceptual Hash:826969b69666d879
Difference Hash:f1b3f1cdcdcdcd75
Wavelet Hash:1919197d3d7d051d
Color Hash:#2dc7d2

Other Hashes

Crop Resistant:f1b3f1cdcdcdcd75

Scan History

Scan history not available

Unable to load historical scan data