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

Moderate Risk

Confidence: 62%

5
Risk Score

Marketing landing page presenting itself as auction house 'Sodré Santoro' on a non-official vercel.app subdomain. No credential or payment fields, only a name/WhatsApp lead form funneling to chat. Brand impersonation suspected but unconfirmed.

Risk Factors (3)
Brand impersonation: uses the Sodré Santoro name and styling on a domain that is not the brand's official site
Hosted on an anonymous free-platform subdomain (vercel.app) with unknown page age
No threat-intel, hunting rule or Safe Browsing hit to corroborate or exonerate; brand is unverified
Safety Factors (2)
All JavaScript served from the site's own domain; no cross-origin credential forms
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

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

Scan Type

public

Domain Name Analysis

You're looking at domain 'v0-vendas-sodresantoro.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'v0-vendas-sodresantoro'. The registrable portion 'vercel' spans 6 characters split between two vowels and four consonants. Word splitting yields two words: ver, cel. Median word length comes out to 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

3.02s
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
864.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
7216.198.79.3Aws · 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

T10A93B43413087E3EA5178BE4F3B5BB3811AD8355E71AD42CF2BD12621B87CA8E9275D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:6rBoAHFUYrJO9mh0w3UfNrrrr6rrrrrrrrr9JD4OOvbrmHt:6rBb4OOvbrmHt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:93113:hLJiAXmgToFHBoEtDgsEUBmyA0CRkAhBgNmAagKAYHxBQwYlhEBIE1YQFDdAAACCAwFYCgIY2QkFyQCQAB8AjgwCUAwSCIAw

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:ff1f7f7f00000000
Perceptual Hash:8283fcf8d9c3c2ac
Difference Hash:2bffcdc8c9e9c490
Wavelet Hash:ffff7f7f28000000
Color Hash:#931f25

Scan History

Scan history not available

Unable to load historical scan data