Security Scan Report: kuramatoys.com

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Submitted: Completed: publiccompleted
This website contacted 29 IPs in 2 countries across 21 domains to perform 80 HTTP transactions. The main domain is kuramatoys.com and was registered 7 years ago.

Submitted URL: https://kuramatoys.com/armored-core-vi-fires-of-rubicon-pb-033m-ashmead-pile-bunker-ballpoint-pen-led-light-up-display-stand-set/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Established hobby-retail store (Kurama Toys) listing licensed Bandai/FromSoftware merchandise. Self-branded, no credential or payment capture on-page, no threat-intel or malware signals. Legitimate e-commerce.

Safety Factors (6)
Domain age 2641 days, well-established
Self-branding consistent with domain name
No password, disguised-password or payment fields on the page
All form actions same-origin (kuramatoys.com)
No Indicators of Compromise, hunting rule, Safe Browsing or IDS hits
Clear business pages: payment policy, shipping & returns, privacy policy, about, contact
Domain age information unavailable

Details

Page Title

ARMORED CORE VI FIRES OF RUBICON PB-033M ASHMEAD Pile Bunker Ballpoint Pen & LED Light-Up Display Stand Set

Scan Type

public

Domain Name Analysis

The domain name 'kuramatoys.com' uses the commercial generic top-level domain (.com) with no subdomain. Count 10 characters in 'kuramatoys' containing 4 vowels alongside six consonants. Splitting it apart reveals three words: ku, rama, toys. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kuramatoys.com/armored-core-vi-fires-of-rubicon-pb-033m-ashmead-pile-bunker-ballpoint-pen-led-light-up-display-stand-set/

Page Load Overview

3.10s
Total Load Time
3.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:3,749 chars
Detector Agreement:80%

Website Classification

Primary Category

e-commerce40% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce
40%
entertainment media
36%
adult content
32%
finance banking
28%
documentation technical
26%

Detected Features

Search
Products
OG: product
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2463.141.128.8United States
AS399566Bigcommerce Inc.
2142.251.20.95Google · CDNUnited States
AS15169Google LLC
263.141.128.3United States
AS399566Bigcommerce Inc.
2192.200.160.253United States
AS399566Bigcommerce Inc.
2159.60.154.190United States
AS35280F5 Networks SARL
234.111.131.117Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2142.251.13.94Google · CDNUnited States
AS15169Google LLC
2142.251.156.4Google · CDNUnited States
AS15169Google LLC
234.117.232.248Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2146.75.121.21Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
8029--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1333439E31EF8157A164783E1B6D3394C7DE2508BF9C1C854B6EC1E8A2F53EE606075A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:CFXcfFc2Mv+403GiNm77+0QHdz19xET/zmMar6Q0sieIOHwDWUEkO9MfquBmI5as:CufO2Mv8fHqdOzZS9KG7En8jrzLlZ9n

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:234984:DlYqAcsG5IIwIBYkEaAEARAQBhiDMkAcJS0XwSkoM2IgwjGAFDgFBCQhH8kAQnJRQgJlgFaqAB2MFECUDcAMYEJYIA4ACYJk

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:ff00cf8f8f8f8fc3
Perceptual Hash:b9c6c69bacb8c780
Difference Hash:3a613b3a3a1e3a37
Wavelet Hash:9f008f878f8f8f81
Color Hash:#aed22d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data