Security Scan Report: vistalokalflow-dpmdyp2ylod7.edgeone.app

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Submitted: Jun 18, 2026, 1:00:36 PMCompleted: Jun 18, 2026, 1:01:47 PMpubliccompleted
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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/ben-rice-injury-today.html

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

AI Security Verdict

High Risk

Confidence: 82%

7
Risk Score

The page shows a news article but triggers a high‑severity malware IDS alert and excessive redirects, indicating likely malicious activity.

Risk Factors
High IDS malware alert
Excessive redirect chain
Critical JS obfuscation
Unknown subdomain age
Low domain reputation
Domain age information unavailable

Details

Page Title

Ben Rice Injury Today: What Fans Need to Know

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(53%)

Domain Information

You're looking at domain 'vistalokalflow-dpmdyp2ylod7.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'vistalokalflow-dpmdyp2ylod7'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 consonants. Tokenizing the label suggests 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://vistalokalflow-dpmdyp2ylod7.edgeone.app/ben-rice-injury-today.html

Page Load Overview

1.74s
Total Load Time
35
HTTP Requests
11
Domains
130 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-US
Text Length:2,818 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical53% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
53%
documentation technical
50%
government public service
37%
corporate
35%
blog personal website
32%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10101.33.10.10Frankfurt am Main, Hesse, Germany
5192.178.183.95United States
AS15169Google LLC
5172.240.127.242United States
AS7979Servers.com, Inc.
5172.67.150.240United States
AS13335Cloudflare, Inc.
5172.240.108.84United States
AS7979Servers.com, Inc.
585.13.152.126Germany
AS34788Neue Medien Muennich GmbH
356--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17A620B27B98195386B33414BB192F7FCBA68942BD7858DE074A9F72C8BC96CB5871340

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:je6KwFHm603VomvPYf85ZEQV+I9yElAcv8taLK5XWwq0DOoJ+aS2SHuEDorWag4R:dGJhnYf8zX+4/v8ZO+caHcorWag4MVL2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15398:EHSAIUiJCiVBrmkCEiyCg4AQiZBgIMSgPCggkAoBpaAYIgExKkH4MyIAAwRrABuEA4IVQCQDABIhKNGQABVOokzZBCBcBlcB

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:828fffdfcf838f83
Perceptual Hash:bdd33c397049e1c8
Difference Hash:1e38001a1a1e3a36
Wavelet Hash:00befe82cf838f83
Color Hash:#bfae40

Other Hashes

Crop Resistant:1e38001a1a1e3a36

Scan History

Scan history not available

Unable to load historical scan data