Security Scan Report: pay.dreamlivingclaudia.com

Redirected to: https://pay.dreamlivingclaudia.com/

Submitted: Apr 14, 2026, 10:11:17 PMCompleted: Apr 14, 2026, 10:12:44 PMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 10 domains to perform 1 HTTP transaction. The main domain is pay.dreamlivingclaudia.com and was registered NaN years ago.

Submitted URL: http://pay.dreamlivingclaudia.com/

Effective URL: https://pay.dreamlivingclaudia.com/Redirected

AI Security Verdict

Moderate Risk

Confidence: 82%

5
Risk Score

Page impersonates Google and solicits payment on an unranked domain; high risk of brand‑based phishing.

Risk Factors
Brand impersonation / typosquatting
Unranked domain claiming major brand
Payment request on unrelated domain
Use of legitimate payment service URLs to mislead users
Safety Factors
Domain age > 3 years (well‑established)
No malicious JavaScript or YARA matches
No network IDS alerts or IoC matches
Established domain (1258 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Page Title

Online payment @ Dream Living Claudia

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(58%)

Domain Information

You're looking at domain 'pay.dreamlivingclaudia.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'pay'. The core label 'dreamlivingclaudia' covers 18 characters split between eight vowels and ten consonants. It segments into three words: dream, living, claudia. Average segment length settles at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://pay.dreamlivingclaudia.com/

Page Load Overview

1.36s
Total Load Time
40
HTTP Requests
13
Domains
235 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:183 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
58%
finance banking
53%
healthcare medical
45%
adult content
43%
real estate property
30%

Detected Features

OG: og:product

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
417.253.57.204Germany
423.67.132.85Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
4142.251.20.94United States
AS15169Google LLC
499.84.152.129United States
AS16509Amazon.com, Inc.
43.216.175.8Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
418.245.86.11United States
AS16509Amazon.com, Inc.
43.174.45.9United States
AS16509Amazon.com, Inc.
4100.49.0.246Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
423.207.210.148GermanyUnknown
4142.251.127.92United States
AS15169Google LLC
4010--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1683295E7D520723E635F729C7497A24A336BC247C604DCB0BAEC068907D99AD4C6B61B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:OZ1A0GtVumi2bZKtSh5SCRxT4NBJd/tCNw9aG6/FfEmwybsqrz0qIQM2v:OZ1Lp/tzp6JE2Frz0J+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11465:DGSNkIQ0AUIIUJgMExFKIMMxQTgIIhQBWhAQkoJFEXRIIoQIADCyFehTwCDACCsZI9QABYdAcinIEiCBaQPEgKAZMUYilEIk

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:eefee6e6fefeefff
Perceptual Hash:f37788dd2232668c
Difference Hash:5a524e4c320a5858
Wavelet Hash:2a2a3a222a3a2a23
Color Hash:#382dd2

Other Hashes

Crop Resistant:5a524e4c320a5858

Scan History

Scan history not available

Unable to load historical scan data