Security Scan Report: kanvasmotionworks-dpdlrkac2dle.edgeone.app

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Submitted: Jun 15, 2026, 3:28:24 AMCompleted: Jun 15, 2026, 3:29:33 AMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 2 HTTP transactions. The main domain is kanvasmotionworks-dpdlrkac2dle.edgeone.app and was registered NaN years ago.

Submitted URL: https://kanvasmotionworks-dpdlrkac2dle.edgeone.app/aboitiz-power-corporation-linkedin.html

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

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Informational article about Aboitiz Power Corporation; no malicious forms or scripts, but unknown subdomain age and low domain reputation give a moderate risk.

Risk Factors
Brand mention on a low‑ranked, unknown‑age subdomain
Subdomain on generic hosting platform (edgeone.app) with unknown creation date
Low Cisco Umbrella ranking for a site claiming a well‑known brand
Safety Factors
Page type is article (og:type=article) – informational content
No forms or credential collection
No JavaScript malware or credential exfiltration detected
No network IDS alerts or IoC matches
Domain age information unavailable

Details

Page Title

Aboitiz Power Corporation LinkedIn: Strategies for Smarter Engagement

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(77%)

Domain Information

You're looking at domain 'kanvasmotionworks-dpdlrkac2dle.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'kanvasmotionworks-dpdlrkac2dle'. Count 7 characters in 'edgeone' split between four vowels and three consonants. Word splitting yields 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kanvasmotionworks-dpdlrkac2dle.edgeone.app/aboitiz-power-corporation-linkedin.html

Page Load Overview

1.50s
Total Load Time
15
HTTP Requests
11
Domains
328 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:3,825 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
77%
government public service
71%
corporate business
65%
education learning
47%
entertainment media
39%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.20.95United States
AS15169Google LLC
223.67.131.98Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.240.108.68United States
AS7979Servers.com, Inc.
243.152.26.58Singapore
2172.240.127.242United States
AS7979Servers.com, Inc.
156--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C772F9375A84112C63668056A0D2B3FCA97C9826F382CDE170AD676C8F8ABC3567374D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hPW3hnYf8zX+JPh8KMY+em3Ahdl/oC6Uag49Us2Cr:ZW3hnz+JPNMY+j3A3lQC6Uag4msH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17451:ATcTcABDAGAFDKAB4aXGZxUoCpCAcFAwacUsBlZCVLGgYYA5qhi0FGCKgC4hByAgQaGhTWIAjiMmJnAAqgDRChBAA4JBhc8m

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:ffffffc18181c1ff
Perceptual Hash:e9c6963846639c9e
Difference Hash:3210220f0f3b0f27
Wavelet Hash:9effff8181818183
Color Hash:#2d8676

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data