Security Scan Report: arezocolection.vercel.app

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Submitted: Aug 28, 2026, 5:50:07 PMCompleted: Aug 28, 2026, 5:51:19 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 60%

5
Risk Score

Heuristic analysis (AI unavailable): Standard risk profile

Domain age information unavailable

Details

Page Title

Arezzo — Bolsas, Sapatos e Botas

Scan Type

public

Domain Name Analysis

Domain 'arezocolection.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'arezocolection'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside 4 consonants. Splitting it apart reveals 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://arezocolection.vercel.app/

Page Load Overview

1.22s
Total Load Time
850 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:pt-BR
Text Length:23,495 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate50% confidence
Type: static
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
664.29.17.131United States
AS16509Amazon.com, Inc.
4179.191.182.65Offenbach, Hesse, Germany
AS52580Azion Technologies Ltda.
464.29.17.67United States
AS16509Amazon.com, Inc.
423.207.210.145Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
42.22.50.137Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4216.198.79.67United States
AS16509Amazon.com, Inc.
423.207.210.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
307--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T173B4523052E81F7D7A2341D9D2A4F3B412DE92A6F69B86189BBC13B45785CC9F9338C4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:m6skCZ5BPrbA/n1rS0PncMGHMVfSp4RDTz48aM2:qZ5BPI/n1rSj4RDwh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:512983:EBigDIEEawiMBoHARBAWBAMSAgAofmBqoRJNIBmBkhCCsCTUtQoyMgoIIMrCEHCwwQRFQxoTqwEgEBEDWRYhCF0GRIigDAEG

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:ff3f07ffff999999
Perceptual Hash:bee11ec19ce13e22
Difference Hash:80bc2c02542b2333
Wavelet Hash:ff3f07fffd000000
Color Hash:#bf9d40

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data