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Security Scan Report: thetoywagon.co.nz

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Submitted: Dec 28, 2025, 4:24:55 PMCompleted: Dec 28, 2025, 4:26:26 PMpubliccompleted
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Summary

This website contacted 17 IPs in 4 countries across 21 domains to perform 509 HTTP transactions. The main domain is thetoywagon.co.nz.

Submitted URL: https://thetoywagon.co.nz

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Site shows hidden password field and login form on an unranked, unknown‑age domain – likely a phishing page.

Risk Factors
Hidden password field (credential harvesting technique)
Login form collecting passwords on a low‑reputation, possibly new domain
Unranked domain (not in Cisco Umbrella top 1M) increases suspicion
Domain age information unavailable

Details

Page Title

Toy Store | Kids Toys | Toys For Sale - The Toy Wagon

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(87%)

Domain Information

You're looking at domain 'thetoywagon.co.nz' on the New Zealand country-code top-level domain (.co.nz) without a subdomain. Its registrable label 'thetoywagon' stretches across 11 characters split between 4 vowels and 7 consonants. Tokenizing the label suggests 3 words: the, toy, wagon. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://thetoywagon.co.nz

Page Load Overview

20.29s
Total Load Time
509
HTTP Requests
0
Domains
N/A
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:13,398 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning87% confidence
Type: webapp
Method: ml+structural

All Detected Categories

education learning
87%
entertainment media
59%
e-commerce shopping
39%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
41123.227.38.32UnknownUnknown
5299.84.152.47United States
AS16509AMAZON-02
29216.239.34.36UnknownUnknown
29142.250.186.142UnknownUnknown
1123.227.39.200Canada
AS13335CLOUDFLARENET
3142.250.185.136UnknownUnknown
2142.251.208.3UnknownUnknown
2142.250.186.162UnknownUnknown
2185.146.173.20Sweden
AS13335CLOUDFLARENET
2157.240.0.6Germany
AS32934FACEBOOK
017--

Detected Technologies2

Shopify
60%
Google Tag Manager
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16845F9D180B2313A21E701B46A9666FF7657E693E38307E432EC07104FDAFA65D8716E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:+cc8FEVFKz6HofoiCg0A5lCmep6ymouCc3Mlv:+cgLsCmep6ymouCc3Iv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1256510:AiQugBIrCCAAKgrsxTw0MFAgULAUg2FtB2B5EnwwNE0Q0gAOCpBUAoT0elAFcCFCUBQSERSFyAR4QAAlVhBAAFAUUKK5zkCE

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:ffff604400404060
Perceptual Hash:e19ec5bf9ed0404c
Difference Hash:68c9dcd955d5d5d5
Wavelet Hash:ffff6c4d41606060
Color Hash:#94d279

Other Hashes

Crop Resistant:68c9dcd955d5d5d5,8bb4b4ab69717169,191ab644c49514ad,f8ac972729aa9e92,00201e3031310800,8bdcd949d6d0d4d4

Scan History

Scan history not available

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