Security Scan Report: superfimdeano.vercel.app

Submitted: Completed: publiccompleted
This website contacted 41 IPs in 3 countries across 19 domains to perform 837 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

AI Security Verdict

High Risk

Confidence: 76%

8
Risk Score

Unofficial vercel.app subdomain presenting itself as 'Viva Sorte', harvesting CPF/phone and pushing small PIX payments plus upsells to 'reveal' an unverifiable instant prize. Treat as a deceptive sweepstakes; do not pay or submit personal data.

Risk Factors (5)
Use of another company's brand name and CNPJ on an unrelated, unaffiliated vercel.app subdomain
Requests CPF and phone number in a prize-reveal flow that can be neither attributed nor verified
Payment requested via PIX QR/copied code toward a prize claim, with no disclosed merchant or processor
Misleading sweepstakes mechanics: 'instant prize' gate, escalating purchases and a discounted 'extra titles' upsell
Circular redirect detected on the landing flow
Domain age information unavailable

Details

Page Title

Sorte

Scan Type

public

Domain Name Analysis

The domain name 'superfimdeano.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'superfimdeano'. The registrable portion 'vercel' spans 6 characters containing two vowels alongside four consonants. It segments into 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.46s
Total Load Time
26.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:pt-BR
Text Length:4,480 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking70% confidence
Type: spa
Method: ml+structural

All Detected Categories

finance banking
70%
healthcare medical
65%
government public service
61%
news media journalism
59%
corporate business
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
37216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
20142.251.110.95Google · CDNUnited States
AS15169Google LLC
20195.154.239.27Paris, Île-de-France, France
AS12876Scaleway SAS
20104.26.10.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
20157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
20192.178.183.100Google · CDNUnited States
AS15169Google LLC
2023.50.131.157Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
20104.26.13.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
202.16.10.92Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
20172.67.68.221Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
83741--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T121D3FB1779F330523573A0A13BA3276B3829D007E927DDB87A9C53605FC9D9588E3A9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:6Hyno+f3PFFVlKVgi7iftStaehEFPYK2hhFgnHMmXrRlw:7FVlKVgi7iftSc0KK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:141407:FlMBoBAixiYgkIBcjNXi4gjIU1ATKQTLQLkIGaUWViJLJiGqFsmkCEgCAIkoCBUJFkLArACDBKwmAMAgFMBPUKAAoQgz6cUQ

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:000000c3ffffffff
Perceptual Hash:e40f56a5d3a552a5
Difference Hash:f471a5170c868e8c
Wavelet Hash:00000000ffffffff
Color Hash:#1f5393

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data