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Security Scan Report: subsequent-yellow-vfip0d8s7x-1tel3a8n9c.edgeone.app

Submitted: Feb 21, 2026, 5:29:41 PMCompleted: Feb 21, 2026, 5:30:56 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is subsequent-yellow-vfip0d8s7x-1tel3a8n9c.edgeone.app and was registered NaN years ago.

Submitted URL: https://subsequent-yellow-vfip0d8s7x-1tel3a8n9c.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: 85%

2
Risk Score

Legitimate resort page with minimal risk; no phishing or malware indicators detected.

Risk Factors
Subdomain on hosting platform with unknown creation date (potentially new)
Safety Factors
No malicious Indicators of Compromise
No credential or payment forms
No JavaScript malware detected
No network IDS alerts
Meta description matches a local resort, not a major brand
Domain age information unavailable

Details

Page Title

subsequent-yellow-vfip0d8s7x-1tel3a8n9c.edgeone.app

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

social media network

(97%)

Domain Information

The domain name 'subsequent-yellow-vfip0d8s7x-1tel3a8n9c.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'subsequent-yellow-vfip0d8s7x-1tel3a8n9c'. Count 7 characters in 'edgeone' with four vowels and three consonants. It segments into two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://subsequent-yellow-vfip0d8s7x-1tel3a8n9c.edgeone.app/

Page Load Overview

6.60s
Total Load Time
7
HTTP Requests
3
Domains
108 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt-BR
Text Length:169 chars
Detector Agreement:60%

Website Classification

Primary Category

social media network97% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
97%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
743.152.26.58Singapore
AS139341ACE
71--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:cfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsze2bMy8Old8:/hoC9JSqzzbs6o3Sj3gcrsK2eAq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184646:IEAZAIHuYqA2DMgABI0neQACRYAh16ggMCKSgCOtMEQAkWKEYAA5N2sYwDgQYCkhDBdAGI6AKEjQYgRAjcVCbRiQAAgqTnIg

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:3f1f0307f0f0f0f0
Color Hash:#783a55

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data