Security Scan Report: beautifulmonsters.store

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Submitted: Jan 3, 2026, 12:36:50 AMCompleted: Jan 3, 2026, 12:38:23 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is beautifulmonsters.store and was registered NaN years ago.

Submitted URL: http://beautifulmonsters.store/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed phishing scam impersonating Google on a newly registered unranked domain.

Risk Factors
Brand impersonation on an unranked, newly registered domain
Very new domain (<30 days) used for phishing
Lack of legitimate content (page not found) suggests placeholder for malicious use
Domain age information unavailable

Details

Page Title

New Tab

Scan Type

public

Language

🇺🇸

English

(52% confidence)

Category

documentation technical

(46%)

Domain Information

You're looking at domain 'beautifulmonsters.store' on the .store top-level domain. The core label 'beautifulmonsters' covers 17 characters split between seven vowels and 10 consonants. Word splitting yields 2 words: beautiful, monsters. Median word length is 8.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://beautifulmonsters.store/

Page Load Overview

11.46s
Total Load Time
4
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:52%
Script Type:Latin
Text Length:141 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical46% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
46%
news media journalism
41%
gambling betting
34%
adult content
33%
government public service
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
423.80.9.115United States
41--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T192736AF5D6F96394158FC3D5EB661895AF3E10FB264981A4722C9BF0AF11898CF87C80

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:HIkPaMxf/N6cw15UxDTti0xhfK6DV/JPsEnOJwNtPDsTSq:Ek2AZzxLDV/JJw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:76905:BWIhDnGIlCwItBQQBcEUaAgCC0oiI03kRiiCUJVhIAQFHbeCeQwQQiCIyEAwwFAJghAmoVAjUwIEYgDqEOlBMCoFAE6CLcUR

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:eee7c3e7fffffffe
Perceptual Hash:f7225588dd88dd89
Difference Hash:080c1e0800000000
Wavelet Hash:1e0703270f0f0f0e
Color Hash:#c52dd2

Other Hashes

Crop Resistant:080c1e0800000000

Scan History

Scan history not available

Unable to load historical scan data