Security Scan Report: vlvasorteanonovo.vercel.app

Submitted: Completed: publiccompleted
This website contacted 33 IPs in 3 countries across 17 domains to perform 201 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

AI Security Verdict

Low Risk

Confidence: 70%

3
Risk Score

Free vercel.app subdomain running a Brazilian prize-raffle flow that collects CPF/phone and demands PIX payments under urgency bait, with a paid 'extra titles' upsell — typical advance-fee scam shape on unreputable, unknown-age hosting.

Risk Factors (3)
Payment (PIX QR code) and personal-data capture (CPF, phone) on a free hosting-platform subdomain with no verifiable organisation
Prize-winning bait with urgency and a paid 'extra titles' upsell — classic advance-fee pattern
Unknown domain/subdomain age, unranked reputation, unranked script host
Safety Factors (5)
No JavaScript malware patterns (YARA) detected
No content-malware threat-intelligence matches against the page or its resources
No password, disguised-password or payment-card form fields parsed in the DOM
Network IDS alerts present are informational (external IP lookup, .cc TLD, generic vercel.app abuse tag), not phishing/malware signatures
No concrete malicious signal (no IoC / YARA / Safe-Browsing / IDS / credential form / brand impersonation) — elevated risk rested on domain age or reputation alone; clamped from 7 to 3
Domain age information unavailable

Details

Page Title

Sorte

Scan Type

public

Domain Name Analysis

The domain name 'vlvasorteanonovo.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'vlvasorteanonovo'. Count 6 characters in 'vercel' with 2 vowels and four consonants. Breaking it apart gives 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://vlvasorteanonovo.vercel.app/

Page Load Overview

23.77s
Total Load Time
5.7 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:4,477 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking64% confidence
Type: spa
Method: ml+structural

All Detected Categories

finance banking
64%
healthcare medical
58%
government public service
52%
news media journalism
45%
corporate business
44%

Detected Features

No structural features detected

Domain & IP Information

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6157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
6142.251.14.94Google · CDNUnited States
AS15169Google LLC
6142.251.13.101Google · CDNUnited States
AS15169Google LLC
623.207.210.133Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6172.67.74.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
20133--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FCD3E92779F320522973A0B537A3276F3928D003E916DD687B9D53604FC5E968CA3B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Fj6jijpdFFVlKVgi7iftStaehznMEt2hhFgnHMmXrRXw:jFVlKVgi7iftSxqKo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:131714:LIlAKgB5wIUgiI8ogCILIBECqlEPs4lOQAAqaGCcAFoAEzVxlUUACcAAJLOjAAPECeH6qiqMLFgBgUCIYgEL0FAHQQBCBkA6

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:e44e4cf591b030f7
Difference Hash:f471a5170c868e8e
Wavelet Hash:00000000ffffffff
Color Hash:#412d86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data