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Security Scan Report: roommateratinghugo-xa285gtyfr.edgeone.app

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Submitted: May 19, 2026, 11:35:55 PMCompleted: May 19, 2026, 11:37:18 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 14 HTTP transactions. The main domain is roommateratinghugo-xa285gtyfr.edgeone.app and was registered NaN years ago.

Submitted URL: https://roommateratinghugo-xa285gtyfr.edgeone.app/20840-karolina-kurkova.html

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

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Low risk site with no phishing or malware indicators; safe for normal browsing.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain ranking (outside top 100K)
High JavaScript obfuscation score
Safety Factors
No credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detections
Page type is article (news) with no brand impersonation
Domain age information unavailable

Details

Page Title

Karolina Kurkova

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(83%)

Domain Information

You're looking at domain 'roommateratinghugo-xa285gtyfr.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'roommateratinghugo-xa285gtyfr'. The second-level label 'edgeone' is 7 characters long with four vowels and 3 consonants. Segmentation suggests 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://roommateratinghugo-xa285gtyfr.edgeone.app/20840-karolina-kurkova.html

Page Load Overview

16.23s
Total Load Time
20
HTTP Requests
12
Domains
104 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:4,155 chars
Detector Agreement:67%

Website Classification

Primary Category

adult content83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
83%
news media journalism
79%
entertainment media
66%
documentation technical
54%
education learning
52%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8101.33.10.57Frankfurt am Main, Hesse, Germany
AS139341ACE
2104.20.7.223United States
AS13335Cloudflare, Inc.
2142.251.20.95United States
AS15169Google LLC
2172.240.108.68United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
2142.251.110.94United States
AS15169Google LLC
207--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Statcounter
20%
DTScout
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14F620C1BB180212C7B3141EB7C51F2BC7D6D9053D3624C68D6EEA7A8868A6C35B79B4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:khnYf8zX+VK6tWtJKJnDJ/c38WXCmFuc7jYYrWag4MDw:khnz+AKJUjXCgupYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15369:IQoAAMgzQIQELgQeFANCYwAFAPCI8ixGQAloQRISwrZUkETRJBQMmT2VAocIZHM7bij5FQBSJEg0AAGSZEAYSRwAHqgHhMcI

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:0000003c3c3c00ff
Perceptual Hash:c347ac4ec74dce0c
Difference Hash:e0ddd0c0c0d81300
Wavelet Hash:38007c7c7e7c00ff
Color Hash:#d22dca

Other Hashes

Crop Resistant:0000000000000000,e0cef0c0c0d0d016

Scan History

Scan history not available

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