Security Scan Report: orbitmodernvision-dpct9bo8euiy.edgeone.app

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Submitted: Jun 17, 2026, 5:29:32 PMCompleted: Jun 17, 2026, 5:30:41 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 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/cricket-live-score-sa-vs-nz.html

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

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Low risk site with no malicious indicators; appears to be a legitimate cricket score article.

Risk Factors
Sub‑domain creation date unknown (could be newly created)
Low Cisco Umbrella ranking (455,732) for the sub‑domain
Safety Factors
Content appears to be a legitimate news/article about cricket scores
No external malicious resources or suspicious network activity detected
No cross‑origin credential exfiltration or suspicious JavaScript behavior
Domain age information unavailable

Details

Page Title

Cricket Live Score SA vs NZ: How Fans Stay Updated on the Match

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(69%)

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 split between four vowels and three consonants. Word splitting yields 2 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://orbitmodernvision-dpct9bo8euiy.edgeone.app/cricket-live-score-sa-vs-nz.html

Page Load Overview

2.26s
Total Load Time
18
HTTP Requests
13
Domains
1.3 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:4,256 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media69% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
69%
news media journalism
68%
government public service
61%
documentation technical
47%
gambling betting
47%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.26.10.116United States
AS13335Cloudflare, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2188.114.97.3United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2172.217.208.95United States
AS15169Google LLC
265.9.175.79United States
AS16509Amazon.com, Inc.
2172.240.127.244United States
AS7979Servers.com, Inc.
223.53.40.51Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
188--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17F922B27AA81623D6763414571C5B2FCFB284027E753CDA4BCACB36C9B466DF09725C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hPWGhnYf8zX+LGgxj418JD6e0sM2BeJhQsoNjag4n+mxSj:ZWGhnz+KVs6ePYhqNjag4+mxW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20618:CBIGQgAkGg0sOyQHIiS4qAAEETABAQCnlQIRAhCiBWAgqFQIRqEApgKICY5UAC4jwKQECgImihkkDIQASrR6WBZIDkRo8kAB

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:ffffff83838181ff
Perceptual Hash:b893c76c9229c796
Difference Hash:32001b1b2b23272d
Wavelet Hash:9effff8181818183
Color Hash:#8e87c5

Scan History

Scan history not available

Unable to load historical scan data