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Security Scan Report: pikselmotionline-dpiuf3ygir9m.edgeone.app

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Submitted: Jun 29, 2026, 7:18:07 PMCompleted: Jun 29, 2026, 7:19:15 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 1 HTTP transaction. The main domain is pikselmotionline-dpiuf3ygir9m.edgeone.app and was registered NaN years ago.

Submitted URL: https://pikselmotionline-dpiuf3ygir9m.edgeone.app/11-captivating-facts-about-the-madonna-of-bruges-statue.html

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site shows no malicious forms, IoCs, or malware; it is an informational article on an unranked subdomain, resulting in a low‑risk rating.

Risk Factors
Unranked domain (not in Cisco Umbrella top 1M)
Subdomain on edgeone.app with unknown creation date
High JavaScript obfuscation score (likely due to minification)
Hosted on a generic PaaS subdomain
Safety Factors
No forms or credential collection mechanisms
No external malicious resources or suspicious external domains
No network IDS alerts or malware detections
Content appears to be a legitimate informational article
Domain age information unavailable

Details

Page Title

11 Captivating Facts About The Madonna Of Bruges Statue

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(50%)

Domain Information

You're looking at domain 'pikselmotionline-dpiuf3ygir9m.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'pikselmotionline-dpiuf3ygir9m'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and three consonants. It segments into two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pikselmotionline-dpiuf3ygir9m.edgeone.app/11-captivating-facts-about-the-madonna-of-bruges-statue.html

Page Load Overview

1.80s
Total Load Time
12
HTTP Requests
10
Domains
30 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:1,092 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
50%
corporate
35%
travel tourism
32%
entertainment media
28%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4192.178.170.95United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
2172.240.127.243United States
AS7979Servers.com, Inc.
2104.18.10.207United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
125--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Bootstrapv4.1.3
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D242B623BEA1613C6B230285659272FC7D2E542BE786CCE4F59DB7288FC67C79431614

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:jzi69NgZqM7E3VomvPYf85ZEQV+PSPLXqW2h6/saniKQwaFNjag4ooCFfpv1V2:3rgqM7EhnYf8zX+aPju6/CFNjag4n+n8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12807:AwZjmSgAMQBtyBAgQAMJBiBASQlaQQESCAA4QhgBAGQwBMAEUpfFpOBiUoWwIDMAKE0QGAQBsEQFCjKQgkII+KghIJCCEzwK

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:c3c3e7ffc3c3ffff
Perceptual Hash:b263c33cc98b3c63
Difference Hash:0e0e0c0006160004
Wavelet Hash:00c3273fc3c381ff
Color Hash:#65783a

Other Hashes

Crop Resistant:0e0e0c0006160004

Scan History

Scan history not available

Unable to load historical scan data