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Security Scan Report: roommateratinghugo-xa285gtyfr.edgeone.app

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Submitted: May 18, 2026, 11:31:35 AMCompleted: May 18, 2026, 11:33:11 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 15 HTTP transactions. The main domain is roommateratinghugo-xa285gtyfr.edgeone.app and was registered NaN years ago.

Submitted URL: https://roommateratinghugo-xa285gtyfr.edgeone.app/23730-coachella-festival-2017-marissa-montgomerys-diary.html

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Moderate risk article; unknown subdomain age and low reputation suggest caution but no direct phishing or malware signs.

Risk Factors
Unknown subdomain age
Low domain reputation
Brand mention on unrelated, low‑rank domain
High JS obfuscation (potentially suspicious code style)
Safety Factors
Page type is og:type=article (informational content)
No credential or payment forms detected
No Indicators of Compromise matched
No network IDS alerts
No JavaScript malware patterns detected
Domain age information unavailable

Details

Page Title

Coachella Festival 2017: Marissa Montgomery's diary

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain 'roommateratinghugo-xa285gtyfr.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'roommateratinghugo-xa285gtyfr'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 consonants. Splitting it apart reveals 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/23730-coachella-festival-2017-marissa-montgomerys-diary.html

Page Load Overview

25.12s
Total Load Time
19
HTTP Requests
12
Domains
105 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:5,018 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.21.0.120United States
AS13335Cloudflare, Inc.
2192.178.170.95United States
AS15169Google LLC
2172.240.108.84United States
AS7979Servers.com, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2142.251.127.94United States
AS15169Google LLC
2188.114.96.3United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
AS139341ACE
2104.20.23.96United States
AS13335Cloudflare, Inc.
198--

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

T141621A87E780112C27B61265F585B2EDFE798012D365CDE494BDF729A7C2EF71832284

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:wBhnYf8zX+GeDfKJJKJnDr8tXHAWepCnhuq/uYYrWag4MDoq2:wBhnz+BXcwlpMHpYrWag4Aoq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15715:9EiAllgiIoAxRQg0DGhSXQBHlGBBAAkIIg0IajTAUCBE8ECELhAkWLaAkIOAnFATbCLAFhaDBumBgKWxQAYAJwoQ6DjQrLIA

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:30003c7c3c7c3418
Perceptual Hash:cf660c678c669c36
Difference Hash:60c3c4c0c0c0c4b2
Wavelet Hash:38207c7c7e7c7c18
Color Hash:#77862d

Other Hashes

Crop Resistant:8080808080808082,60c3c4c0c0c0c4b2

Scan History

Scan history not available

Unable to load historical scan data