Security Scan Report: roommateratinghugo-xa285gtyfr.edgeone.app

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Submitted: May 19, 2026, 9:25:57 AMCompleted: May 19, 2026, 9:27:17 AMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 8 domains to perform 16 HTTP transactions. The main domain is roommateratinghugo-xa285gtyfr.edgeone.app and was registered NaN years ago.

Submitted URL: https://roommateratinghugo-xa285gtyfr.edgeone.app/12804-how-to-look-cute-while-camping.html

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

AI Security Verdict

Low Risk

Confidence: 60%

2
Risk Score

Low risk site with no malicious indicators; likely safe but unknown subdomain age suggests caution.

Risk Factors
Unknown subdomain age
Low domain ranking
High JavaScript obfuscation score
Safety Factors
No credential or payment forms
No Indicators of Compromise detected
No JavaScript malware patterns identified
Domain age information unavailable

Details

Page Title

How to Look Cute While Camping

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

Domain 'roommateratinghugo-xa285gtyfr.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'roommateratinghugo-xa285gtyfr'. The core label 'edgeone' covers 7 characters holding four vowels versus 3 consonants. Word splitting yields 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://roommateratinghugo-xa285gtyfr.edgeone.app/12804-how-to-look-cute-while-camping.html

Page Load Overview

13.43s
Total Load Time
21
HTTP Requests
13
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:4,229 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
healthcare medical
31%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.13.95United States
AS15169Google LLC
3142.251.14.94United States
AS15169Google LLC
3101.33.10.10Frankfurt am Main, Hesse, Germany
3172.240.127.234United States
AS7979Servers.com, Inc.
3104.20.23.96United States
AS13335Cloudflare, Inc.
3172.67.150.240United States
AS13335Cloudflare, Inc.
3104.20.7.223United States
AS13335Cloudflare, Inc.
217--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T154623B17F6C0113C272101A4B5D6B6FC7869C45BE7638DA4A9B6E32E87C67C708B698C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:dhnYf8zX+x011MLJKJnDJ/X387acrjMk53KXHwYYrWag4MDt:dhnz+2hJfncrjMQ6XLYrWag4At

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15380:YQQ3ERgFUIAyIkJgBgJNQ3RlIUoA4UUKkIgAxjsA0Wh2sEicBmemrvRAAItgAAMi4KSQGAEhgMoIanKwiJAQZQzkABwAioas

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:3000043c3c3c00ff
Perceptual Hash:c347ac4fc64e9a1c
Difference Hash:60cbd0c8c0c87104
Wavelet Hash:38007c7c7e7c00ff
Color Hash:#2d7b86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data