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: 65%

5
Risk Score

Page mimics Sodré Santoro auction house on an unranked vercel.app subdomain using a lead form and WhatsApp redirect. No credential or payment fields, but brand impersonation and hosting-platform abuse signals warrant caution.

Risk Factors (4)
Brand impersonation of Sodré Santoro on a non-official domain
Unranked domain with unknown age on a shared hosting platform
IDS alerts for abused cloud hosting service (vercel.app)
Lead capture form solicits personal contact information and WhatsApp redirect
Safety Factors (4)
No password or payment fields
No threat-intel IoC matches
No JavaScript malware/hunting-rule detections
No credential exfiltration or cross-origin form submission
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) and includes subdomain 'v0-vendas-sodresantoro'. The registrable portion 'vercel' spans 6 characters containing two vowels alongside 4 consonants. Word splitting yields 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

4.34s
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%
travel tourism
77%
corporate business
75%
technology software
68%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
764.29.17.3Aws · 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

T15F93B43413087E3EA5178BE4F3B5BB3811AD8355E71AD42CF2BD02625B87CA8E9275D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:6rBoAH2UYreO9mh0w3UfNrrrr6rrrrrrrrr9JD4OOvbrmHt:6rBl4OOvbrmHt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:93064:SQhCgACSASAIEZRAhwJhkAipdxKA7BADA8CVCSG0x35FQZSAY6DDMcMZ4DE28KIQgQiAgwAAVJAYhAIRBIMAFSIqgQ8FygCB

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

Scan History

Scan history not available

Unable to load historical scan data