Security Scan Report: voeazulpromo.vercel.app

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://voeazulpromo.vercel.app/

AI Security Verdict

Low Risk

Confidence: 62%

2
Risk Score

Empty Vercel 404 error page: no forms, no content, no brand, no Indicators of Compromise. Only weak priors (unknown-age free subdomain, unranked) — nothing concrete, so low risk.

Risk Factors (3)
Subdomain hosted on a free shared platform (.vercel.app) whose content age cannot be verified
Subdomain name ('voeazulpromo') evokes an airline promotion, though no brand, logo or claim appears on the page
Unranked in Cisco Umbrella with no reputational history
Safety Factors (5)
No credential or payment form present (0 forms, 0 password fields, 0 payment fields)
No brand impersonation — no brand name, logo or self-claim rendered anywhere
No Indicators of Compromise or JavaScript malware detected
No outbound/third-party script hosts or credential exfiltration
Page serves only a generic platform error message, not actionable content
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

Domain 'voeazulpromo.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'voeazulpromo'. Count 6 characters in 'vercel' holding 2 vowels versus four consonants. It segments into two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.13s
Total Load Time
4 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical59% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
59%
news media journalism
31%
technology software
31%
healthcare medical
30%
government public service
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T151F1EB9170613A3FF2338922189B511D313CE006FD175EDAA98A95F09ADE5E33A7FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:a7e9POh8/QBFytD7uYjm5B17XOuT24gEcy5m:WuGh84BFy571C/lXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7956:4RYQAghhIQ4JAgAE0VYIjEm4wNWPYJRBDACAoCAzIFkACMLPzGHlwFGEGYoCAgGXggIAiAYGAmJtEAQQwkMdEgASQKahkRBT

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:ffffffe7e7ffffe7
Perceptual Hash:b389cccc3333cccc
Difference Hash:0000000c0c00000c
Wavelet Hash:3c3c3c24243c3c24
Color Hash:#d0e06c

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data