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Security Scan Report: voeazul-two.vercel.app

Submitted: Sep 2, 2026, 7:50:37 AMCompleted: Sep 2, 2026, 7:51:49 AMpubliccompleted

Summary

This website contacted 14 IPs in 2 countries across 10 domains to perform 2 HTTP transactions. The main domain is voeazul-two.vercel.app and was registered 22 years ago.

Submitted URL: https://voeazul-two.vercel.app/

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

The site impersonates Azul airline, collects personal and payment data on an unknown‑age Vercel subdomain, indicating a high‑risk phishing scam.

Risk Factors
Brand impersonation of a major airline
Credential collection on unknown‑age subdomain
Payment processing references on untrusted domain
Domain age information unavailable

Details

Page Title

Azul Linhas Aéreas: Melhores ofertas

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

travel tourism

(91%)

Domain Information

You're looking at domain 'voeazul-two.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'voeazul-two'. The second-level label 'vercel' is 6 characters long with two vowels and four consonants. Splitting it apart reveals 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://voeazul-two.vercel.app/

Page Load Overview

2.91s
Total Load Time
40
HTTP Requests
10
Domains
2.8 MB
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:5,486 chars
Detector Agreement:80%

Website Classification

Primary Category

travel tourism91% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

travel tourism
91%
finance banking
87%
adult content
85%
cryptocurrency blockchain
82%
government public service
81%

Detected Features

Payment
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14216.198.79.131United States
AS16509Amazon.com, Inc.
2104.19.240.61Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.19.239.61Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.110.95Google · CDNUnited States
AS15169Google LLC
2172.67.68.221Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
264.29.17.195United States
AS16509Amazon.com, Inc.
2157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2216.198.79.195United States
AS16509Amazon.com, Inc.
223.50.131.149Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
4014--

Page Statistics

40
Requests
10
Unique Domains
3.1 MB
Total Size

Detected Technologies8

Open-Graph-Protocolvwebsite
100%
JQueryv3.6.0
100%
OWL Carousel
50%
Node.js
50%
Vercel
40%
HSTS
40%
Express
40%
Facebook Pixel
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A72154AE3C06F05B278262B292B7F63A7516024A6541D514F5DD8874AFB0EC60C05E8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:h+iEuSHP3MTkRWUnFOUcN/yN/tO0ZLJhNc2UEcVNOoRWR9Gge58BNG:olfMowUnA1NaN3LzOxjw6gK8Bs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1296:AkgAAAAAAAAAAIABAAAEABQBAgAAAAACACAAAAhAAAAAQAABEEAAAAAgIAAIAAABAGAIIAAAAgCEAAAAAAAAAAAAAwBACAAI

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:00c7f3f8e4ffffc3
Perceptual Hash:f4162b535b0b2d56
Difference Hash:8d2c265104163827
Wavelet Hash:0086d3d880ffffc1
Color Hash:#8640bf

Other Hashes

Crop Resistant:8d2c265104163827,0121dddc9d23014c,dfe767333c3f8f43,f3e3e1b68e43854a,0000003030100000

Scan History

Scan history not available

Unable to load historical scan data