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Security Scan Report: ruangcloudpoint-dpb4a3tklels.edgeone.app

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Submitted: Jun 20, 2026, 12:12:24 AMCompleted: Jun 20, 2026, 12:13:33 AMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 2 HTTP transactions. The main domain is ruangcloudpoint-dpb4a3tklels.edgeone.app and was registered NaN years ago.

Submitted URL: https://ruangcloudpoint-dpb4a3tklels.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

Low Risk

Confidence: 60%

2
Risk Score

Informational article about Aboitiz Power; no malicious forms or scripts detected; low risk.

Risk Factors
Low domain ranking for a well‑known brand name
Unknown subdomain age on a hosting platform
Safety Factors
No credential or payment collection forms
No malicious JavaScript or network alerts
Content classified as an article (reporting, not impersonation)
External resources are common CDNs and analytics
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

(79%)

Domain Information

You're looking at domain 'ruangcloudpoint-dpb4a3tklels.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'ruangcloudpoint-dpb4a3tklels'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside 3 consonants. It segments into two 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://ruangcloudpoint-dpb4a3tklels.edgeone.app/aboitiz-power-corporation-linkedin.html

Page Load Overview

1.91s
Total Load Time
14
HTTP Requests
10
Domains
242 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:3,970 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network79% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
79%
government public service
77%
corporate business
70%
corporate
35%
education learning
26%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
643.152.26.58Singapore
AS139341ACE
2146.75.122.0Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2172.240.108.68United States
AS7979Servers.com, Inc.
2192.178.183.95United States
AS15169Google LLC
145--

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

T1A87209776980112C637A410AA592B3FCBA3C8466F3818DE0759D7B688F89BC3527774E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:SGshnYf8zX++ntMnNGnUdfXjT68bf9Y+em3AhdlWoNjag4n+mM:Rshnz++ntMnNGnUdfXjtbf9Y+j3A3lT/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16950:qZdYOSIKxsk5M9OGjEAHRiSCmAGAyADDShQwEIQxCETQiooIIhiHgibo8kACBDAIg+yMxVIAF1oPkzBcQBSCVyAmCSSBDo1K

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:1820000000007c7c
Perceptual Hash:c23dc33cc23c9e3c
Difference Hash:f1c10161c9c5c1c1
Wavelet Hash:197901013d797d7d
Color Hash:#d2799a

Other Hashes

Crop Resistant:464646804200200e,c0c282d6d4e0e4e0,871c3e77efdb8eed,f1c10161c9c5c1c1

Scan History

Scan history not available

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