Security Scan Report: store.segway.com

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Submitted: Jan 6, 2026, 5:59:54 PMCompleted: Jan 6, 2026, 6:01:42 PMpubliccompleted
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Summary

This website contacted 39 IPs in 3 countries across 38 domains to perform 282 HTTP transactions. The main domain is store.segway.com and was registered NaN years ago.

Submitted URL: https://store.segway.com

The Cisco Umbrella rank of the primary domain is #279,037 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no detectable security threats.

Safety Factors
Long‑standing domain registration
Official brand subdomain
No credential‑harvesting or payment collection
Domain age information unavailable

Details

Page Title

Segway Official Store | Global No.1 Electric KickScooter Brand

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(73%)

Domain Information

Domain 'store.segway.com' uses the commercial generic top-level domain (.com) and includes subdomain 'store'. Its registrable label 'segway' stretches across 6 characters containing two vowels alongside 4 consonants. Breaking it apart gives two words: seg, way. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://store.segway.com

Page Load Overview

10.70s
Total Load Time
230
HTTP Requests
34
Domains
84.4 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:6,591 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping73% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
73%
technology software
52%
documentation technical
51%
entertainment media
38%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
40146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113FASTLY
534.218.52.59Boardman, Oregon, United States
AS16509AMAZON-02
5146.75.121.140Frankfurt am Main, Hesse, Germany
AS54113FASTLY
591.235.134.131United States
53.122.220.139Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
587.230.98.76Germany
AS61157PlusServer GmbH
5216.239.32.36Unknown
544.210.161.80Unknown
557.144.244.128Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
518.66.147.42Unknown
23039--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BA9428B1B414D5BA62038DE571B56EAF3019B31DCA47CCF0BAECD62A4BC5CF11E62294

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:nACUQmgRzY9vWRfGf9FI5VlBV4sPgSsWP4sp7KhtKP/:ACUO7KhtKH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:426242:CEMInzlACIL+AQmUDEHKAQCijXQGAVRJUaSxFFuECnYQdGACYUACBxREkAgIAQZAAEDEOtMKkVAgkDZmoBAAuyUyCBmABAsS

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:fff7e7e7e7ff7f00
Perceptual Hash:a3f74c8877a07f80
Difference Hash:e24c4c4f4febb346
Wavelet Hash:20242727e7ff7f00
Color Hash:#2d867a

Scan History

Scan history not available

Unable to load historical scan data