Security Scan Report: yellowridehugo-luus6w82rq.edgeone.app

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Submitted: May 21, 2026, 4:13:01 AMCompleted: May 21, 2026, 4:14:21 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 14 HTTP transactions. The main domain is yellowridehugo-luus6w82rq.edgeone.app and was registered NaN years ago.

Submitted URL: https://yellowridehugo-luus6w82rq.edgeone.app/22402-inside-londons-billionaires-row-heath-hall-the-mansion-for-hire-that-justin-bieber-rented-for-14.html

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

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

The site is a low‑risk article page with no malicious indicators; proceed normally.

Risk Factors
Unknown subdomain age
Low Cisco Umbrella ranking (455,732)
High JavaScript obfuscation score
Safety Factors
No forms or credential collection
No malicious Indicators of Compromise
No network IDS alerts
Content appears to be a news/article page
Domain age information unavailable

Details

Page Title

Inside London's Billionaires Row: Heath Hall, the mansion-for-hire that Justin Bieber rented for $14

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(64%)

Domain Information

The domain 'yellowridehugo-luus6w82rq.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'yellowridehugo-luus6w82rq'. The core label 'edgeone' covers 7 characters split between four vowels and 3 consonants. Segmentation suggests 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://yellowridehugo-luus6w82rq.edgeone.app/22402-inside-londons-billionaires-row-heath-hall-the-mansion-for-hire-that-justin-bieber-rented-for-14.html

Page Load Overview

11.88s
Total Load Time
20
HTTP Requests
14
Domains
33 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:6,144 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business64% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
64%
real estate property
38%
corporate
35%
entertainment media
31%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4101.33.10.10Frankfurt am Main, Hesse, Germany
2104.20.7.223United States
AS13335Cloudflare, Inc.
2172.240.108.84United States
AS7979Servers.com, Inc.
2142.251.20.95United States
AS15169Google LLC
2142.251.110.94United States
AS15169Google LLC
2104.20.23.96United States
AS13335Cloudflare, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2172.240.127.234United States
AS7979Servers.com, Inc.
2104.18.10.207United States
AS13335Cloudflare, Inc.
209--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E582FA23E58011385B314395A096B6FCFD7AC421E39289E874FDA77D43C5D8F8A792C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:znxqB+hnYf8zX+6xJKJSJ/cxJa1b7gy5zl8kYrWag4MDw:zQ+hnz+6XJUxJa1bEy5zzYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17920:MgKA5ELcAA0DIx2YQNEBQQCJbSglaqQ/RAAJwAAREReUQIEKKIQMYFARQFKVQRIgSQKIAPiA3GQEAcmBegEaIla8MKCgAoQT

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:002000383c3800ff
Perceptual Hash:8a24f54ad51af53a
Difference Hash:e161456969696949
Wavelet Hash:0131003c3d3d3dff
Color Hash:#53ac77

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data