Security Scan Report: pay.dreamlivingclaudia.com

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

Submitted: Apr 13, 2026, 9:54:39 PMCompleted: Apr 13, 2026, 9:56:03 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: 85%

5
Risk Score

The site impersonates Google on an unranked domain, posing a high‑risk phishing threat.

Risk Factors
Brand impersonation / typosquatting
Unranked domain with major brand claim
Domain‑brand mismatch
Presence of payment‑related page without legitimate brand ownership
Safety Factors
Domain age >3 years
No malicious code or Indicators of Compromise detected
No credential or payment forms collecting user data
No network IDS alerts
Established domain (1257 days old) with no strong malicious indicators — risk clamped from 7 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

Domain 'pay.dreamlivingclaudia.com' uses the commercial generic top-level domain (.com) and includes subdomain 'pay'. Count 18 characters in 'dreamlivingclaudia' holding 8 vowels versus ten consonants. Breaking it apart gives three words: dream, living, claudia. Average segment length settles at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.92s
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
4142.251.127.92United States
AS15169Google LLC
418.245.86.95United States
413.226.244.64United States
AS16509Amazon.com, Inc.
43.216.175.8United States
4192.178.183.94United States
AS15169Google LLC
423.207.210.143Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4100.49.110.141Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
43.174.45.174United StatesUnknown
423.67.132.85Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
417.253.57.208Frankfurt am Main, Hesse, Germany
AS6185Apple Inc.
4010--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C13295E7D520723E639F729C7497A246336BC247C604DC70BAEC068907D99AD4C6B61B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:OZ1A0GtVumi2bZKtSh5SCRxT4NBJd/lCNw9aG6/FfEmwybsqrz0AMIQMr:OZ1Lp/lzp6JE2Frz0c/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11465:DGSNkIQ0AUIJEJgMAxFKIMMxQTgAIpQBGhAZkoJFEXRIIoQIACCyFehTyCDACCsZI9QABYdAeinIEiCBaQPEgiAZMUYilEIk

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:#2d90d2

Other Hashes

Crop Resistant:5a524e4c320a5858

Scan History

Scan history not available

Unable to load historical scan data