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Security Scan Report: marginal-gray-vodxhhdzad-gsfh958pfm.edgeone.app

Submitted: Mar 4, 2026, 11:49:20 PMCompleted: Mar 4, 2026, 11:50:28 PMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 1 HTTP transaction. The main domain is marginal-gray-vodxhhdzad-gsfh958pfm.edgeone.app and was registered NaN years ago.

Submitted URL: https://marginal-gray-vodxhhdzad-gsfh958pfm.edgeone.app/

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

No malicious activity observed; low risk despite unknown subdomain age and low ranking.

Risk Factors
Subdomain on hosting platform with unknown creation date
Low domain ranking (455k) indicating limited trust
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware patterns detected
No network‑level IDS alerts
Domain age information unavailable

Details

Page Title

GPTI - Global Professional Training Institute

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(84%)

Domain Information

Domain 'marginal-gray-vodxhhdzad-gsfh958pfm.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'marginal-gray-vodxhhdzad-gsfh958pfm'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus 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://marginal-gray-vodxhhdzad-gsfh958pfm.edgeone.app/

Page Load Overview

1.35s
Total Load Time
29
HTTP Requests
5
Domains
1.7 MB
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
Text Length:10,762 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical84% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
84%
education learning
36%
government public service
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9142.251.141.74Singapore
AS15169
5172.64.144.254United States
AS13335Cloudflare, Inc.
5142.251.143.99United States
AS15169Google LLC
543.152.26.58Singapore
AS139341ACE
5146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
295--

Detected Technologies1

Vue.js
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10B93A5666D9912131363E0F6A43B2E0E6A7DDA1FD60C81C1F89C43622FF2D73716E1A5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:B5fPy3qbOB20AccBc5cgcGcbcNcDlYlblDlflol9lqZNqxm:TK3qG207cBc5cgcGcbcNcEX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:91836:HBRoIwgATDpghJoQutIggl0MFqVvEOFQARxSSBMJSObhApQhWiMRXSrwAkqNNMRiAJBeBgFFATgo0sRCAJ1QiAy0JXQlRRQw

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:df8b83c3ffdfdfdf
Perceptual Hash:bc389bc3c6c664c9
Difference Hash:383b372736361818
Wavelet Hash:bf81818383c38fcf
Color Hash:#e0a06c

Other Hashes

Crop Resistant:383b372736361818,36360ddb3d3d138e

Scan History

Scan history not available

Unable to load historical scan data