Security Scan Report: thequeensresidence.com

Redirected to: https://thequeensresidence.com/wp-login.php?redirect_to=https%3A%2F%2Fthequeensresidence.com%2Fwp-admin%2F&reauth=1

Submitted: Nov 4, 2025, 11:34:38 PMCompleted: Nov 4, 2025, 11:36:33 PMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 5 domains to perform 32 HTTP transactions. The main domain is thequeensresidence.com and was registered NaN years ago.

Submitted URL: https://thequeensresidence.com/wp-admin/

Effective URL: https://thequeensresidence.com/wp-login.php?redirect_to=https%3A%2F%2Fthequeensresidence.com%2Fwp-admin%2F&reauth=1Redirected

AI Security Verdict

AI analysis unavailable for this scan

Details

Bot Protection Detected

This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.

Page Title

Bot Verification

Scan Type

public

Language

🇺🇸

English

(64% confidence)

Category

unknown

(0%)

Domain Information

The domain 'thequeensresidence.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The registrable portion 'thequeensresidence' spans 18 characters holding 8 vowels versus 10 consonants. Word splitting yields 3 words: the, queens, residence. Median word length comes out to six characters. 'the' most strongly signals English. Usage also turns up in Chinese (Pinyin) and Vietnamese contexts.

Screenshot

Security scan screenshot of https://thequeensresidence.com/wp-admin/

Page Load Overview

49.45s
Total Load Time
32
HTTP Requests
5
Domains
1.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:64%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:64%
Script Type:Latin
Text Length:54 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8142.250.185.195United States
AS15169GOOGLE
3172.217.18.17United States
AS15169GOOGLE
3142.250.186.131United States
AS15169GOOGLE
3188.132.202.144Turkey
AS205463Pembe Gul Isguzar Karagoz
3216.58.206.35United States
AS15169GOOGLE
32a00:1450:4001:82b::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
32a00:1450:4001:81d::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
32a00:1450:4001:82f::2011Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
32a00:1450:4001:829::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
329--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12BA19672097110549C1382A1A6E17789A9739307F686C9A038FD6764FF9DDF6C483AAC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:vrlklWJ6kdwUmpK7AxGJIi+KPEg/0OynZg/fz:OlWJLwUmpK7kGJIK8gl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4940:aFpBAAIAYBG3iEQgQjIAAGBzAAgBAIahCSIAkSYwA4CQiJAgBAYFIAGABBCAAIAhIIqyIgAYYMCwgggEAMIibhEIgABEAIDA

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:e7e7e7e7e7ffffff
Perceptual Hash:b322cccc3333cdcc
Difference Hash:4d4d4d4d0d000800
Wavelet Hash:24000024273f3f3e
Color Hash:#2d8643

Scan History

Scan history not available

Unable to load historical scan data