Security Scan Report: assistente-gvbr.vercel.app

Submitted: Completed: publiccompleted
This website contacted 3 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://assistente-gvbr.vercel.app/

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Unbuilt Vercel subdomain serving the platform's standard 404 DEPLOYMENT_NOT_FOUND page; no forms, no impersonation, no threat-intel or malware hits. Nothing to interact with and nothing malicious.

Safety Factors (4)
Static platform error page with no interactive forms or data collection
No IoC, YARA, IDS phishing/malware or Safe Browsing hits tied to page content
No third-party scripts; all resources same-origin
ML classifier returned only neutral categories (documentation technical, news/journalism)
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

The domain name 'assistente-gvbr.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'assistente-gvbr'. The second-level label 'vercel' is 6 characters long holding two vowels versus 4 consonants. Segmentation suggests two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://assistente-gvbr.vercel.app/

Page Load Overview

0.13s
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 technical57% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
57%
news media journalism
31%
technology software
30%
healthcare medical
30%
government public service
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
23--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T100F1EA9170653A3EF2338922189B511D313CE007ED275ECA998A85F09EDE5E23A7FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:G7e9POh8/QBFytD7uYj754A7XOuT24gEcy5m:SuGh84BFy571XikXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7940:YAmOElhCguG4NCaKQEWwAJxEkyLBAY4tBEBahRBJAzgYiEWGECjAGTIIAIoiCgWNBiLAsESIgEQyfCEAhkTFRSkEBAWCYAG4

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:ffffffe7e7ffffe7
Perceptual Hash:b389cccc3333cccc
Difference Hash:0000000c0c00000c
Wavelet Hash:3c3c3c24243c3c24
Color Hash:#2d8665

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data