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Security Scan Report: www.scalemodeladdict.com

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Submitted: Jan 9, 2026, 11:37:55 AMCompleted: Jan 9, 2026, 11:39:36 AMpubliccompleted
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Summary

This website contacted 29 IPs in 3 countries across 30 domains to perform 1 HTTP transaction. The main domain is scalemodeladdict.com and was registered NaN years ago.

Submitted URL: https://www.scalemodeladdict.com

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no suspicious activity and appears legitimate.

Safety Factors
Established domain with long registration history
No credential‑harvesting or payment collection forms
No known malicious Indicators of Compromise
Standard privacy cookie banner only
Domain age information unavailable

Details

Page Title

Scale Model Addict

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(61%)

Domain Information

You're looking at domain 'www.scalemodeladdict.com' on the commercial generic top-level domain (.com), featuring subdomain 'www'. The registrable portion 'scalemodeladdict' spans 16 characters containing six vowels alongside 10 consonants. Tokenizing the label suggests 3 words: scale, model, addict. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.scalemodeladdict.com

Page Load Overview

5.36s
Total Load Time
120
HTTP Requests
49
Domains
1.6 MB
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-US
Text Length:7,415 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical61% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
61%
adult content
54%
forum community discussion
48%
technology software
44%
education learning
38%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8162.19.138.116Frankfurt am Main, Hesse, Germany
AS16276OVH SAS
4142.250.185.106United States
AS15169GOOGLE
4216.58.206.40United States
AS15169GOOGLE
4172.67.146.31United States
AS13335CLOUDFLARENET
4172.66.169.55United States
AS13335CLOUDFLARENET
452.84.221.63United States
AS16509AMAZON-02
435.71.131.137Unknown
AS16276
452.49.255.252Unknown
AS44788
4104.21.10.168United States
AS13335CLOUDFLARENET
418.66.147.22United States
AS16509AMAZON-02
12029--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E014C610D84E0C3B412B02EBA851B388F1AFAA32D7A905F9F6B7577D4EDAD94745E103

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ls6AwCrZH6GhvYyZF1MrqyyviWHPhprz85c:ll2ZH6GhvYyZF1MrqyyXzD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:203698:DAhAUCDraAD5KqmvxAAF0FEMBAiD4ACkAB30IFiRJMMKpF4gJEPEYmYZFiEYKMAIEhBCgYvSAVgygLBA0tAE8lFTDkEACqAD

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:00800b3fffc7c7cf
Perceptual Hash:b14f7270cd338da4
Difference Hash:23416a6ad49c9c9c
Wavelet Hash:008003bfe7c7c7cf
Color Hash:#1f8a93

Other Hashes

Crop Resistant:23416a6ad49c9c9c,0000000010303010

Scan History

Scan history not available

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