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Security Scan Report: dollhousetwins.pages.dev

Redirected to: https://dollhousetwins.pages.dev/

Submitted: Nov 16, 2025, 8:20:34 PMCompleted: Nov 16, 2025, 8:21:59 PMpubliccompleted
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Summary

This website contacted 22 IPs in 0 countries across 6 domains to perform 14 HTTP transactions. The main domain is dollhousetwins.pages.dev.

Submitted URL: http://dollhousetwins.pages.dev/

Effective URL: https://dollhousetwins.pages.dev/Redirected

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
No forms collecting sensitive data
No external links to suspicious domains
Content appears to be a personal/creative site
No brand impersonation detected
Domain age information unavailable

Details

Page Title

Chat with the Dollhouse Twins

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(51%)

Domain Information

The domain name 'dollhousetwins.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'dollhousetwins'. Count 5 characters in 'pages' split between two vowels and three consonants. It segments into one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://dollhousetwins.pages.dev/

Page Load Overview

56.24s
Total Load Time
14
HTTP Requests
6
Domains
289 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:177 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software51% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
51%
entertainment media
46%
documentation technical
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
0216.58.206.74UnknownUnknown
0104.26.2.143UnknownUnknown
0104.18.8.170UnknownUnknown
0172.217.23.99UnknownUnknown
0142.250.186.131UnknownUnknown
0172.66.44.87UnknownUnknown
0146.75.120.193UnknownUnknown
0104.26.3.143UnknownUnknown
0172.66.47.169UnknownUnknown
02606:4700:20::681a:38fUnknownUnknown
1422--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C08295157A10003FAD23E1D6D6D1BA5DB52DE1C2DF3E9BBDBA8A000177D79FA0997204

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:+ThKVJwt7JXeS7JXex/27xXRGsfXsflqRtE7/S/zzR9mz0sfEvd7sfwwKXzBz:CzPhL7jMb7/S/zzR9mz+xXd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17825:CGAaiAHCQAVQSVIiEs5AuMe1gGYUGYQaDAaADgGmJICKUokWivQAkIChgBCwBElIJEE6AmQhUJiAOhCJhIEOgIqkZACMwnCL

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:f3c3c3c1c3c3c3e3
Perceptual Hash:e4f8c6a78f139690
Difference Hash:8617969717060606
Wavelet Hash:f3c3c3c1c3c3c3c2
Color Hash:#86582d

Other Hashes

Crop Resistant:82e2e04304242323,e0ecce8e96961737,8617969717060606

Scan History

Scan history not available

Unable to load historical scan data