Security Scan Report: vistalokalflow-dpmdyp2ylod7.edgeone.app

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Submitted: Jun 28, 2026, 10:05:44 AMCompleted: Jun 28, 2026, 10:06:53 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 6 domains to perform 2 HTTP transactions. The main domain is vistalokalflow-dpmdyp2ylod7.edgeone.app and was registered NaN years ago.

Submitted URL: https://vistalokalflow-dpmdyp2ylod7.edgeone.app/alphabetical-list-of-alpine-flowers.html

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Low‑risk informational article with no malicious signals detected.

Risk Factors
Subdomain on hosting platform with unknown creation date (unranked)
Safety Factors
Informational content about alpine flowers
No forms or data collection elements
No malicious external resources or scripts
No brand claims or impersonation
Domain age information unavailable

Details

Page Title

Alphabetical List of Alpine Flowers: Quick Guide for Local Enthusiasts

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(36%)

Domain Information

Within the application-focused generic top-level domain (.app), 'vistalokalflow-dpmdyp2ylod7.edgeone.app' is registered with subdomain 'vistalokalflow-dpmdyp2ylod7'. The core label 'edgeone' covers 7 characters split between 4 vowels and three consonants. Word splitting yields two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vistalokalflow-dpmdyp2ylod7.edgeone.app/alphabetical-list-of-alpine-flowers.html

Page Load Overview

2.17s
Total Load Time
17
HTTP Requests
11
Domains
2.9 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:4,978 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical36% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
36%
corporate
35%
education learning
30%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7101.33.10.10Frankfurt am Main, Hesse, Germany
2172.67.150.240United States
AS13335Cloudflare, Inc.
274.125.29.95United States
AS15169Google LLC
2172.240.127.242United States
AS7979Servers.com, Inc.
2104.20.45.66United States
AS13335Cloudflare, Inc.
2188.114.96.3United States
AS13335Cloudflare, Inc.
176--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11682F857A68401282F6205AA65C2B3BD7C69803BE7434AE1B49CB33CDB86BDF4C71589

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:dGXhnYf8zX+JvEv88FEsOcdMlPz02hcXoNjag4n+sm:0Xhnz+JvEtFQPlPz02O4Njag4+f

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18772:FokAhsDlACEoFDGKteaoIJkxOdAJEgWQMCgiChqADhQcpokAxkAOGivHO0WICBgAHYIbKKQAECoSISQB01VBECBgEGrMUWEy

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:dfffffffffff8381
Perceptual Hash:b9c6398639c639c6
Difference Hash:1626002233303333
Wavelet Hash:82ffffc383838181
Color Hash:#86442d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data