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Security Scan Report: kataclouddaily-dpz8mflvan0o.edgeone.app

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Submitted: Jun 16, 2026, 2:55:20 PMCompleted: Jun 16, 2026, 2:56:28 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is kataclouddaily-dpz8mflvan0o.edgeone.app and was registered NaN years ago.

Submitted URL: https://kataclouddaily-dpz8mflvan0o.edgeone.app/11-captivating-facts-about-daniel-bedingfield.html

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The page is a benign article about Daniel Bedingfield with no malicious indicators.

Risk Factors
Subdomain on a hosting platform (.edgeone.app) with unknown creation date
Low Cisco Umbrella ranking (455,732) – weak signal only
Safety Factors
Absence of credential or payment collection forms
No malicious JavaScript behavior or external exfiltration
Content appears to be a standard entertainment article
Domain age information unavailable

Details

Page Title

11 Captivating Facts About Daniel Bedingfield

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(47%)

Domain Information

The domain name 'kataclouddaily-dpz8mflvan0o.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'kataclouddaily-dpz8mflvan0o'. The core label 'edgeone' covers 7 characters split between four vowels and 3 consonants. Breaking it apart gives 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://kataclouddaily-dpz8mflvan0o.edgeone.app/11-captivating-facts-about-daniel-bedingfield.html

Page Load Overview

2.84s
Total Load Time
12
HTTP Requests
9
Domains
20 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:8,092 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media47% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
47%
corporate
35%
education learning
32%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.20.95United States
AS15169Google LLC
343.152.26.58Singapore
AS139341ACE
3172.240.253.132Ashburn, Virginia, United States
AS7979Servers.com, Inc.
3172.67.150.240United States
AS13335Cloudflare, Inc.
124--

Detected Technologies2

Open-Graph-Protocolvarticle
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15F920867FF80022C6A6101916295F2EE7B35C019EB498AE0FDC9F62EEF475D3613594C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KSDhnYf8zX+k7cRa7tN7O7jaIf6uCRfwSmO/SPbdZvuJN7Y4HgGrrrY0SoNjag4I:TDhnz+k4RaBNi/aI9CRbmqSbdZvuJtxt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19664:ghAhACDVAilhiGmSIwABEwygEgBSA8ZgGiQBYCqYIBfNAwKQeClGi5isDAwaEGhNArUJYsQYhAdhEgJACggY4zDbLEUEAjYS

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:397000007d217d7d
Perceptual Hash:8a6dcec8983c399b
Difference Hash:f1c55121c1c1c1c5
Wavelet Hash:197101017d317f7f
Color Hash:#8a53ac

Other Hashes

Crop Resistant:f1c55921c1c1c1c5

Scan History

Scan history not available

Unable to load historical scan data