Security Scan Report: superfimdeano.vercel.app

Submitted: Completed: publiccompleted
This website contacted 37 IPs in 3 countries across 19 domains to perform 669 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://superfimdeano.vercel.app/?utm_source=organicjLj6ad64e91cc436525aa44e7a8&utm_campaign=&utm_medium=&utm_content=&utm_term=

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Fake 'Viva Sorte' lottery page on a free vercel.app subdomain: fabricates a prize win, harvests CPF/phone, then demands PIX payments — brand impersonation plus advance-fee fraud.

Risk Factors (6)
Impersonation of the 'Viva Sorte' brand on a non-official vercel.app subdomain
Fake payment confirmation and instant prize-reveal flow driving an immediate PIX upsell
Harvesting of CPF and phone number with promise of later 'secure' data collection by phone
OTP values observed transmitted in cleartext in network traffic (IDS alerts)
Urgency framing ('SORTEIO DE HOJE', dated editions in 2026) plus fabricated recent-winner and testimonial content
Free shared hosting subdomain with unknown creation date and no verifiable corporate identity on the domain
Domain age information unavailable

Details

Page Title

Sorte

Scan Type

public

Domain Name Analysis

You're looking at domain 'superfimdeano.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'superfimdeano'. The second-level label 'vercel' is 6 characters long split between 2 vowels and 4 consonants. Word splitting yields 2 words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://superfimdeano.vercel.app/?utm_source=organicjLj6ad64e91cc436525aa44e7a8&utm_campaign=&utm_medium=&utm_content=&utm_term=

Page Load Overview

3.49s
Total Load Time
21.3 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:4,481 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking71% confidence
Type: spa
Method: ml+structural

All Detected Categories

finance banking
71%
healthcare medical
66%
government public service
61%
news media journalism
59%
corporate business
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
18142.251.13.95Google · CDNUnited States
AS15169Google LLC
18195.154.239.26Paris, Île-de-France, France
AS12876Scaleway SAS
18104.26.11.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
18157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
18142.251.20.94Google · CDNUnited States
AS15169Google LLC
18142.251.14.100Google · CDNUnited States
AS15169Google LLC
1823.207.210.133Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
18104.26.13.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
18104.26.10.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
66937--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EBD3FB1779F330523573A0A13BA3276B3828D007E927DEB87A5D53605FC9D9588E3A9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:6AoApAQAxA6A1A+IPFFVlKVgi7iftStaehyBUJf2hhFgnHMmXrRlw:6de9QZYTOFVlKVgi7iftSilKK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:141514:HAEAJAsEEABZQWhBGACjOGMW14ZGZQMMLkgCCzIMCSBDCjoQFHIxgqEkBBidYEZBSERAwtSsSG0jAAgSCCAAYorysDGARnDG

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:#40bf82

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data