Security Scan Report: subways-alhv9qe47u.edgeone.app

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Submitted: May 21, 2026, 6:55:55 PMCompleted: May 21, 2026, 6:57:20 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is subways-alhv9qe47u.edgeone.app and was registered NaN years ago.

Submitted URL: https://subways-alhv9qe47u.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site shows low risk: no malicious code, no credential forms, but the subdomain is newly created on a generic hosting platform.

Risk Factors
Unknown subdomain age (could be newly created)
Low domain ranking in Cisco Umbrella
Hosted on a generic developer subdomain
Safety Factors
No login, payment, or credential‑harvesting forms
No malicious JavaScript or network alerts
No external malicious links or redirects
Domain age information unavailable

Details

Page Title

Gemini Dash: World Tour

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

travel tourism

(81%)

Domain Information

Within the application-focused generic top-level domain (.app), 'subways-alhv9qe47u.edgeone.app' is registered; it also runs on subdomain 'subways-alhv9qe47u'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside three consonants. Splitting it apart reveals two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://subways-alhv9qe47u.edgeone.app/

Page Load Overview

4.30s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
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:85 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism81% confidence
Type: static
Method: ml+structural

All Detected Categories

travel tourism
81%
cryptocurrency blockchain
74%
gambling betting
69%
entertainment media
62%
e-commerce shopping
57%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2101.33.10.10Frankfurt am Main, Hesse, Germany
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F372A95E66B702AA8487E07D6FD7B24D773090031A0BDF2CBD4E93181F4899982F5BD6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:WgF5eqD9WeWsMJtsO6CJezMSXMMM/MANWSniZQSMGMnqc7K57MTM4PixMyarM7fQ:VF5eqD9WeWtT6CYwScNEAgSiZQnTqcB/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17440:CMhIABogUGEwTCgBMUToI7IQDCQChcaAjDeBQ0xQobRFOCka1E0qhCAhEIQWOEitAoYcBIwFgiCSgQYkYKBGYKiAgiKEGHcg

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:1818181818180000
Perceptual Hash:cccc3333cc3333cc
Difference Hash:b2b2b2b2b2320c10
Wavelet Hash:1b1b1b1b18180000
Color Hash:#88931f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data