Security Scan Report: www.oneyoungworld.com

Submitted: Nov 17, 2025, 3:07:18 PMCompleted: Nov 17, 2025, 3:08:25 PMpubliccompleted
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Summary

This website contacted 75 IPs in 4 countries across 21 domains to perform 73 HTTP transactions. The main domain is oneyoungworld.com and was registered NaN years ago.

Submitted URL: https://www.oneyoungworld.com/speaker/michelle-yeoh

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration (2007)
Established organization (One Young World)
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Michelle Yeoh | One Young World

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(75%)

Domain Information

The domain 'www.oneyoungworld.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Its registrable label 'oneyoungworld' stretches across 13 characters containing five vowels alongside 8 consonants. It segments into three words: one, young, world. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.oneyoungworld.com/speaker/michelle-yeoh

Page Load Overview

21.66s
Total Load Time
73
HTTP Requests
21
Domains
931 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
Text Length:4,385 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media75% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
75%
government public service
63%
adult content
55%
social media network
48%
blog personal website
41%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
73104.26.5.229United States
AS13335CLOUDFLARENET
0146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113FASTLY
0142.250.184.196United States
AS15169GOOGLE
0216.58.206.34United States
AS15169GOOGLE
0142.250.186.34United States
AS15169GOOGLE
0142.250.184.195United States
AS15169GOOGLE
0150.171.22.12United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
023.36.162.7Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
02.16.241.7Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
7375--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C4B3E6310066323A129348F2B6E93F0EBA55F243E7076D91FA6D86A45FEDE524F53309

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:i05mhG9eXBuz+++JxtJW04KZKxJi1e9N96Fv6Tgt4/KNYdBmhG1/fMr3K:i7hJXBuz+++nW0aJe4xb/KN1hC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:107546:IwAGnEABoFoBtMKGCaoSkhOgFAnYZB02BRigF5jcVhUGQUCQQENkSSVFaog0EDGBIiigQCJQQkQADACFAUCVQiggDZJQJARm

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:ff000404040effff
Perceptual Hash:9312ec8ee9cb949a
Difference Hash:616cdcd858dc0916
Wavelet Hash:ff000606020effff
Color Hash:#79d28f

Scan History

Scan history not available

Unable to load historical scan data