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Security Scan Report: visual-orange-zuq33v4vcl-vmmhtd64gg.edgeone.app

Submitted: Mar 30, 2026, 1:38:44 AMCompleted: Mar 30, 2026, 1:39:52 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 16 HTTP transactions. The main domain is visual-orange-zuq33v4vcl-vmmhtd64gg.edgeone.app and was registered NaN years ago.

Submitted URL: https://visual-orange-zuq33v4vcl-vmmhtd64gg.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

Low‑risk marketing page; no malicious content detected but domain is newly created and low‑ranked.

Risk Factors
New subdomain on a free hosting platform (creation date unknown)
Low Cisco Umbrella ranking (455,732) indicating limited reputation
Safety Factors
No password, email, or payment fields present
No malicious Indicators of Compromise
JavaScript obfuscation score low; no malware patterns
Only standard CDN resources (Tailwind, Cloudflare, Google Fonts) loaded
Domain age information unavailable

Details

Page Title

Lorena Belém | Social Media

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

social media network

(95%)

Domain Information

The domain name 'visual-orange-zuq33v4vcl-vmmhtd64gg.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'visual-orange-zuq33v4vcl-vmmhtd64gg'. The core label 'edgeone' covers 7 characters split between four vowels and three consonants. Tokenizing the label suggests two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://visual-orange-zuq33v4vcl-vmmhtd64gg.edgeone.app/

Page Load Overview

0.70s
Total Load Time
13
HTTP Requests
5
Domains
418 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:2,864 chars
Detector Agreement:67%

Website Classification

Primary Category

social media network95% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
95%
entertainment media
67%
news media journalism
55%
government public service
41%
corporate business
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.26.2.143Singapore
AS15169
2142.251.140.163United States
AS15169Google LLC
2104.17.24.14United States
AS13335Cloudflare, Inc.
2142.251.208.10United States
AS15169Google LLC
243.152.26.58Singapore
AS139341ACE
135--

Detected Technologies1

Tailwind CSS
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F203972962E0007B2C93C1E5F690AF5EBE15E6C7DD2F85A9B79D02416FD7DB24D83208

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:NFIs5hLYF73ZPzEP4nTx/W+WbQokKgTkGw8XZ1HRYVsnakM484O:NFJ5h0xpob+WbQ6gTkGOkM484O

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39862:qlEYBQPyYWAEIiWTvBgBvStHGnSEQIIcZjJokgBBFkyIcDBCCJggCOETBZqMCAUCKAiCSpJgAFmDmhsEhMMAJAXKJOsxgAtR

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:ffffdfffffff0000
Perceptual Hash:bcb143c74e60b83e
Difference Hash:633e3a3627009131
Wavelet Hash:b9fe8b8b93ff0000
Color Hash:#e06ca6

Other Hashes

Crop Resistant:633e3a3627009131,01110d33b3053133

Scan History

Scan history not available

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