Security Scan Report: accessoriezworld.com

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Submitted: May 2, 2026, 8:21:38 PMCompleted: May 2, 2026, 8:23:12 PMpubliccompleted
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Summary

This website contacted 11 IPs in 4 countries across 11 domains to perform 29 HTTP transactions. The main domain is accessoriezworld.com and was registered NaN years ago.

Submitted URL: https://accessoriezworld.com/Black-Side-Stand-Extender-Foot-Pad-For-Hunter-Motorcycle-Enhanced/catalogue/lHwE9sa1/rxrL5lxz

AI Security Verdict

Low Risk

Confidence: 78%

4
Risk Score

The site appears to be a low‑risk, newly registered e‑commerce page with no phishing or malware signs.

Risk Factors
Domain is unranked in Cisco Umbrella (not in top 1 M)
Domain is relatively new (63 days old)
Safety Factors
Self‑branding matches the domain name
No forms collecting credentials or payments
No malicious indicators (IoC, YARA, IDS) found
No external link matches to known malicious sites
Domain age information unavailable

Details

Page Title

Accessoriez World Black Side Stand Extender Foot Pad For Hunter Motorcycle Enhanced Stability Base Plate Price in India - Buy Accessoriez World Black Side Stand Extender Foot Pad For Hunter Motorcycle Enhanced Stability Base Plate online at https://accessoriezworld.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce

(50%)

Domain Information

The domain name 'accessoriezworld.com' uses the commercial generic top-level domain (.com) and has no subdomain. The second-level label 'accessoriezworld' is 16 characters long holding six vowels versus ten consonants. Segmentation suggests 4 words: access, o, riez, world. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://accessoriezworld.com/Black-Side-Stand-Extender-Foot-Pad-For-Hunter-Motorcycle-Enhanced/catalogue/lHwE9sa1/rxrL5lxz

Page Load Overview

4.84s
Total Load Time
72
HTTP Requests
17
Domains
1.0 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-IN
Text Length:6,936 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce50% confidence
Type: spa
Method: structural

All Detected Categories

e-commerce
50%
corporate
50%

Detected Features

Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1220.250.198.32Zurich, Zurich, Switzerland
AS8075Microsoft Corporation
6142.251.13.95United States
AS15169Google LLC
6142.251.20.94United States
AS15169Google LLC
6142.251.13.97United States
AS15169Google LLC
6151.101.2.217United States
AS54113Fastly, Inc.
6142.251.20.95United States
AS15169Google LLC
652.222.232.56United States
AS16509Amazon.com, Inc.
654.192.35.12United States
AS16509Amazon.com, Inc.
665.2.165.227Mumbai, Maharashtra, India
AS16509Amazon.com, Inc.
618.64.16.115United States
AS16509Amazon.com, Inc.
7211--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F0F31A670120313C9017A96A9FB17F5C717AF02BDA56C5DAAD7A8F28C7C7EC05B1324A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:MDZyT9E+w/YiE+GY6V4gV1gcNNjP6T7ar7JkdjWFhMEBy777KDOljtxPlgQR8Ouf:3E+w/fE+G1jd7c7nX7GF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:159231:BQQUmYgiIBUKYHiWglBNIIwCwYwCwKUAAJsqYGUHnBfXlAAAAAQSiIAIzOkHQRlRwwQAzIAA2QoEKRIVwUAKBMLyKAXhAEEA

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:00fffbf9fbfffbfb
Perceptual Hash:ed3664127b5b160e
Difference Hash:0a06625353070303
Wavelet Hash:00b0baa0a9fbf1f9
Color Hash:#40bf59

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data