Security Scan Report: kataglobalcanvas-dps1vlba608i.edgeone.app

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Submitted: Jun 15, 2026, 7:13:32 AMCompleted: Jun 15, 2026, 7:14:41 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is kataglobalcanvas-dps1vlba608i.edgeone.app and was registered NaN years ago.

Submitted URL: https://kataglobalcanvas-dps1vlba608i.edgeone.app/current-weather-radar-map-usa-live-loop.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

The page is an informational article with no forms, no brand impersonation, and no malicious indicators; classified as low risk.

Risk Factors
Subdomain on hosting platform with unknown creation date
Low Cisco Umbrella ranking (455,732) – weak signal only
Safety Factors
Informational article about weather radar
Hosted on edgeone.app (reputable hosting platform)
All external resources are common analytics/CDN domains
Domain age information unavailable

Details

Page Title

Tracking Storms in Real Time: How to Use a Current Weather Radar Map of the USA

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(37%)

Domain Information

Within the application-focused generic top-level domain (.app), 'kataglobalcanvas-dps1vlba608i.edgeone.app' is registered; it also runs on subdomain 'kataglobalcanvas-dps1vlba608i'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and three consonants. Tokenizing the label suggests 2 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://kataglobalcanvas-dps1vlba608i.edgeone.app/current-weather-radar-map-usa-live-loop.html

Page Load Overview

2.34s
Total Load Time
15
HTTP Requests
11
Domains
151 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:5,662 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service37% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
37%
corporate
35%
documentation technical
32%
phishing scam
26%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.67.150.240United States
AS13335Cloudflare, Inc.
3172.240.127.243United States
AS7979Servers.com, Inc.
3142.251.14.95United States
AS15169Google LLC
3101.33.10.10Frankfurt am Main, Hesse, Germany
399.84.152.129United States
AS16509Amazon.com, Inc.
155--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19782FA3AFA84123C5A120185B687F7BCBE69803BDB52C9B1F49DE73C57CA6D78432254

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:dGDhnYf8zX+ZQ1d1A084mq/ZeOA9Q06Ekoe6OF4jLfS2oNjag4n+1TDY:0Dhnz+ZQ1d1Aemq/nSv6E3e6OFOrUNjY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18796:AEATgtSDhKXAMGIb5IcIMgCWoYRhKFYMsE4EwAYRpIoQOQ0jjgRtFQAAEoAqBkgAxEBQARDGdgiAJkTpBQ2MgFHU7smOECYQ

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:8083ffff83ff8383
Perceptual Hash:bdc53d396990c361
Difference Hash:162200022b103b2f
Wavelet Hash:009afeff81ff8180
Color Hash:#2d8676

Other Hashes

Crop Resistant:162200022b103b2f

Scan History

Scan history not available

Unable to load historical scan data