Security Scan Report: v0-vendas-sodresantoro.vercel.app

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 15 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://v0-vendas-sodresantoro.vercel.app/

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Unofficial vercel.app page presenting itself as auction house Sodré Santoro, using unverifiable DETRAN/46-year claims to harvest names and phone numbers into a personal WhatsApp funnel. No payment or password fields, but brand impersonation drives high risk.

Risk Factors (4)
Impersonation of a different entity's brand (Sodré Santoro) on a domain that is not the brand's official site
Personal contact data (name, phone) harvested and routed to an individual WhatsApp number off-platform
Unverifiable official claims (DETRAN authorization, 46+ years, guaranteed discounts)
Free/instant hosting subdomain with unknown creation date hiding behind an aged platform apex
Domain age information unavailable

Details

Page Title

Sodré Santoro – Leilões Presenciais e Online | Veículos com até 70% OFF

Scan Type

public

Domain Name Analysis

The domain 'v0-vendas-sodresantoro.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'v0-vendas-sodresantoro'. The registrable portion 'vercel' spans 6 characters holding 2 vowels versus four consonants. Tokenizing the label suggests two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://v0-vendas-sodresantoro.vercel.app/

Page Load Overview

0.72s
Total Load Time
641 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:pt-BR
Text Length:6,594 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical96% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
96%
government public service
94%
corporate business
75%
travel tourism
75%
technology software
68%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
764.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
152--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17E93C33413087E7EA5078BE4F3B5BB3811AD8355E71AD42CF6BD02615B87CA8E9276C4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OrBoAH6UYrdTDmh0w3Lf8rrrrlrrrrirrrrMJD4OOvbrmH/:OrBo4OOvbrmH/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:96383:oSiSxYxJWACFDHggBaGiDBIlAAKgxAgQCBZAAAO7xBAIJ2AACDliS6ARci9iIvhCVAkED3CEiIoxoBoTlpgAihgw4CtGURkA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data