Security Scan Report: kanvasmotionworks-dpdlrkac2dle.edgeone.app

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Submitted: Jun 22, 2026, 2:44:15 AMCompleted: Jun 22, 2026, 2:45:23 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-email.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 site appears to be a legitimate article with no phishing or malware indicators; low risk.

Risk Factors
Low domain ranking (455,732 in Cisco Umbrella)
Subdomain on edgeone.app with unknown creation date
Safety Factors
Absence of forms that collect credentials or payment data
Article metadata (og:type=article) signals legitimate reporting
No malicious IoC, YARA, or IDS detections
External resources are typical analytics and font CDNs
Domain age information unavailable

Details

Page Title

Aboitiz Power Corporation Email: Effective Communication for a Sustainable Future

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(81%)

Domain Information

Within the application-focused generic top-level domain (.app), 'kanvasmotionworks-dpdlrkac2dle.edgeone.app' is registered; it also runs on subdomain 'kanvasmotionworks-dpdlrkac2dle'. Count 7 characters in 'edgeone' split between four vowels and three consonants. It segments into 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-email.html

Page Load Overview

1.42s
Total Load Time
14
HTTP Requests
11
Domains
236 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:3,813 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
81%
corporate business
75%
corporate
35%
documentation technical
28%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4172.240.253.132Ashburn, Virginia, United States
AS7979Servers.com, Inc.
2185.151.30.136United Kingdom
AS4825420i Limited
2192.178.183.95United States
AS15169Google LLC
2101.33.10.10Frankfurt am Main, Hesse, Germany
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.240.108.68United States
AS7979Servers.com, Inc.
146--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C8720B2796C4221462628146E5C1B3FCB97D881BD7828DB1B87CB72C4FCAFD75A7264C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hPW9hnYf8zX+iyS5fBh8jUDbwCmhE++MK48AoC6Uag49UTCP:ZW9hnz+DgoUAhE++M8C6Uag4mu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16872:BEERXEPwwAyISIAZQwBQJCm4QkAEAUpIcpCiKJIiU0MAINAvAJQpEBI0mVfQAzsQaIqEIjFUA0CCgpCEaIEYENAAIwYAoEkS

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:ffffff818181c1ff
Perceptual Hash:bc93c12c1e3c97c9
Difference Hash:32000a2b2b2f2b13
Wavelet Hash:9effff8181818183
Color Hash:#ac5372

Scan History

Scan history not available

Unable to load historical scan data