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Security Scan Report: okay-orange-r2dhl7ho8j-mvpezggssw.edgeone.app

Submitted: Mar 14, 2026, 10:25:19 AMCompleted: Mar 14, 2026, 10:26:37 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is okay-orange-r2dhl7ho8j-mvpezggssw.edgeone.app and was registered NaN years ago.

Submitted URL: https://okay-orange-r2dhl7ho8j-mvpezggssw.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: 84%

2
Risk Score

No malicious activity detected; low risk despite new subdomain on free hosting.

Risk Factors
Subdomain on free‑hosting platform with unknown creation date
Low Cisco Umbrella ranking (outside top 100 k)
Safety Factors
No credential‑harvesting or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
No external domains or cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

TE AMO MI CHAMOY

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

healthcare medical

(37%)

Domain Information

Within the application-focused generic top-level domain (.app), 'okay-orange-r2dhl7ho8j-mvpezggssw.edgeone.app' is registered and includes subdomain 'okay-orange-r2dhl7ho8j-mvpezggssw'. The second-level label 'edgeone' is 7 characters long with four vowels and three consonants. Breaking it apart gives 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://okay-orange-r2dhl7ho8j-mvpezggssw.edgeone.app/

Page Load Overview

1.04s
Total Load Time
5
HTTP Requests
1
Domains
13 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:es
Text Length:343 chars
Detector Agreement:50%

Website Classification

Primary Category

healthcare medical37% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
AS139341ACE
51--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11B51A967D3133406913B90F068C2CB493498DD17DA2B54E816FB63BAE3D55AED532B8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:1//ykv+xdhv7eWPMFEpi9FpNd2qPFfMdFffBYVeiF6PfPxBBHGvys+QqN:5z+Y9Fp/pNwqPOUVRF6PfPxj0yMqN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3140:ABEKIKAAgIh0ACIEAsAAAAQAgIAAAgCBDAJZAACIAAAECAQgEASABCAAAAQAQgCgAUAASCsBQAACFAJCAQBVwQBEAASgAQAA

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:f8f0f8f8f0c0c080
Perceptual Hash:facd227288d98976
Difference Hash:0101213111010101
Wavelet Hash:fcf8f8f8f0e0c0c0
Color Hash:#2f931f

Other Hashes

Crop Resistant:0000000000000000,cbcbcbcbcbcbcbcb,424a4254d4d64a06,0000203010000000

Scan History

Scan history not available

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