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Security Scan Report: v0-portalsodresantoro.vercel.app

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/ca1616e9-8336-4ce6-ba8d-052d172a6c13Domain and IP registration (RDAP)/api/v1/rdap/ca1616e9-8336-4ce6-ba8d-052d172a6c13How often this domain was scanned/api/v1/domain/stats/v0-portalsodresantoro.vercel.appScan history for this domain/api/v1/domain/history/v0-portalsodresantoro.vercel.app?limit=15
This website contacted 2 IPs in 1 country across 1 domain to perform 19 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://v0-portalsodresantoro.vercel.app/

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

Unofficial vercel.app page presenting itself as auction house Sodré Santoro, with unverifiable DETRAN/history claims and no real auction functionality - likely brand impersonation; no forms on-page.

Risk Factors (4)
Impersonation of a different entity's brand (Sodré Santoro) on a domain that is not the brand's official site
Unranked / no domain reputation behind a page claiming long-established, DETRAN-authorized auction operations
Unverifiable authority and history claims (DETRAN authorization, 30/45 years) with internal inconsistencies
Contact-diversion funnel to WhatsApp/personal representatives instead of any verifiable auction platform or company registration details
Domain age information unavailable

Details

Page Title

Sodré Santoro - Leilões Presenciais e Online

Scan Type

public

Domain Name Analysis

The domain 'v0-portalsodresantoro.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'v0-portalsodresantoro'. Its registrable label 'vercel' stretches across 6 characters split between two vowels and four consonants. It segments into two 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-portalsodresantoro.vercel.app/

Page Load Overview

0.99s
Total Load Time
358 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:3,689 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical95% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
95%
corporate business
80%
government public service
70%
technology software
61%
e-commerce shopping
56%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
964.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
192--

Detected Technologies5

v0
100%
MetaGenerator
100%
Vercel
40%
HSTS
40%
Vercel Analytics
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A59395387005DE7DE99B2DA8213EBD39619DD26AC61FD964D7DCC53182CA838EB835C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:sFVa8Mj6tAS7YTN/GxC+sOdquM23r+eOx2VD8Q:su8Mj6tAZN/qC+sOdquMK/OYVD8Q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:92832:hxgAsFARsFQQB0EeO4EIABIQDHQYqFgkAACi4JABnhCUfkYELEKhWVADtMgIIpARD48ShmEwQg41gKCAJmCgoAaCpDYCEHCt

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:ff003c1800201010
Perceptual Hash:8ad3e4e0e8ca93ce
Difference Hash:55f1697131696121
Wavelet Hash:ff003d3d003c18ff
Color Hash:#821f93

Other Hashes

Crop Resistant:55f1697131696121,259a55531939c211,1369693161696133

Scan History

Scan history not available

Unable to load historical scan data