Security Scan Report: v0-diretonasua-casa.vercel.app

Submitted: Sep 26, 2026, 2:50:06 AMCompleted: Sep 26, 2026, 2:50:44 AMpubliccompleted

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is v0-diretonasua-casa.vercel.app and was registered 6 years ago.

Submitted URL: https://v0-diretonasua-casa.vercel.app/?gad_source=1&gad_campaignid=24203892425&gbraid=0AAAABDtG0WQxAUmo_AUJY_4uwCVmz_plr&gclid=Cj0KCQjwkt_UBhDMARIsALpnOAzrORt0nbGeyd6iVBjeNWdyImAnqbb4qz2cq6v6d2voTTJxv1ts1Z0aApQvEALw_wcB

AI Security Verdict

Low Risk

Confidence: 82%

1
Risk Score

Dead Vercel 404 page with no forms, no impersonation, and no threat-intel or malware hits. Nothing malicious is served; only a missing deployment.

Safety Factors
Static 404 error page with no interactive data collection
No credential, login, or payment fields present
No Indicators of Compromise or malware patterns detected
No cross-origin credential exfiltration
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

The domain 'v0-diretonasua-casa.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'v0-diretonasua-casa'. The core label 'vercel' covers 6 characters with 2 vowels and 4 consonants. Word splitting yields 2 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-diretonasua-casa.vercel.app/?gad_source=1&gad_campaignid=24203892425&gbraid=0AAAABDtG0WQxAUmo_AUJY_4uwCVmz_plr&gclid=Cj0KCQjwkt_UBhDMARIsALpnOAzrORt0nbGeyd6iVBjeNWdyImAnqbb4qz2cq6v6d2voTTJxv1ts1Z0aApQvEALw_wcB

Page Load Overview

0.14s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical58% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
58%
news media journalism
31%
technology software
31%
government public service
30%
healthcare medical
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T103F1EB91B061363EF23389621897511D313CE006FD275EDAA98A86F099DE5E23A3FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:a7e9Awh8/QBFytFOjFD5kRG7XOuT24gEcy5m:Wurh84BFynO90WXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7699:EWbYCgg5OA0eAEJQgs4AAEjirKEYhBAArBcAopQCrNkpSCHXQjDIgC5CbB0AjIgA4glDMDYCYCLMkhUQUnAKPASGoATVAApQ

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:fffff7e7e7f7ffe7
Perceptual Hash:b38ccc993366cc99
Difference Hash:0000080c0c00000c
Wavelet Hash:3c3c3020273f3f27
Color Hash:#87c5bb

Other Hashes

Crop Resistant:0000080c0c00000c

Scan History

Scan history not available

Unable to load historical scan data