Security Scan Report: orbitmodernvision-dpct9bo8euiy.edgeone.app

Site favicon
Submitted: Jun 20, 2026, 8:23:27 AMCompleted: Jun 20, 2026, 8:24:38 AMpubliccompleted
Loading additional data...

Summary

This website contacted 9 IPs in 5 countries across 9 domains to perform 2 HTTP transactions. The main domain is orbitmodernvision-dpct9bo8euiy.edgeone.app and was registered NaN years ago.

Submitted URL: https://orbitmodernvision-dpct9bo8euiy.edgeone.app/canada-usa-hockey-game-tonight.html

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

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

Low risk site with no malicious indicators; appears to be a harmless article.

Risk Factors
Subdomain on a hosting platform (.edgeone.app) with unknown creation date
Safety Factors
Content is a news‑style article about a Canada‑USA hockey game
No external form submissions or cross‑origin credential handling
No malicious scripts or suspicious external domains observed
Domain age information unavailable

Details

Page Title

Canada USA Hockey Game Tonight: A Rivalry Renewed

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

download file sharing

(70%)

Domain Information

The domain name 'orbitmodernvision-dpct9bo8euiy.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'orbitmodernvision-dpct9bo8euiy'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus three consonants. Word splitting yields two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://orbitmodernvision-dpct9bo8euiy.edgeone.app/canada-usa-hockey-game-tonight.html

Page Load Overview

3.31s
Total Load Time
18
HTTP Requests
14
Domains
1.7 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:2,983 chars
Detector Agreement:100%

Website Classification

Primary Category

download file sharing70% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

download file sharing
70%
blog personal website
66%
government public service
60%
travel tourism
54%
adult content
49%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2162.0.226.6United States
AS22612Namecheap, Inc.
2123.30.242.10Vietnam
AS135905VIETNAM POSTS AND TELECOMMUNICATIONS GROUP
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.240.108.68United States
AS7979Servers.com, Inc.
2195.234.95.172United Kingdom
AS205654Labtech Systems Ltd
2185.111.111.157Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
243.152.26.58Singapore
2138.199.245.111Germany
AS24940Hetzner Online GmbH
2142.250.154.95United States
AS15169Google LLC
189--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E772D827EE901229A272815660C5F6FCA9688427E743CDA17CDCB3BC5F8BFDB1571184

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hPWMhnYf8zX+xm2xFc18506uWhHTgEByoNjag4n+2u:ZWMhnz+cdtW9Njag4+x

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17560:hCPSI7CS8gRhBaVmMAACALGiiRBgCPCMcwACi9YDVIMgk4PoAhBCQwDEmgIFAbmyYECksocAAgBGrGMAraRI0gIIxQIBAIEi

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:ffffffc3c3c3c3ff
Perceptual Hash:b1da9e651930ce8d
Difference Hash:32000c8e8e8e0e2f
Wavelet Hash:00feffc3c383c381
Color Hash:#d22dc5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data