Security Scan Report: assistente-gvbr.vercel.app

Submitted: Sep 26, 2026, 3:50:03 AMCompleted: Sep 26, 2026, 3:50:35 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 80%

1
Risk Score

Vercel default 404 'deployment not found' page. No forms, no malware, no phishing, no Indicators of Compromise; only generic cloud-hosting reputation tags. Nothing malicious on the page itself.

Safety Factors (4)
No credential or payment form present
No malware, phishing, or IoC evidence in page content
Error page contains no interactive or data-collecting functionality
Generic cloud-hosting abuse reputation tags carry no page-specific malicious evidence
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

The domain 'assistente-gvbr.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'assistente-gvbr'. Its registrable label 'vercel' stretches across 6 characters split between 2 vowels and four consonants. Splitting it apart reveals 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://assistente-gvbr.vercel.app/

Page Load Overview

0.12s
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
32%
healthcare medical
31%
government public service
30%
technology software
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.67Aws · 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

T133F1EA9170613A3FF63388221897511D3138E006FD275EDA998A95F09ADE5E23A3FD85

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:a7e9Awh8/QBFytFOj3K5YUG7XOuT24gEcy5m:Wurh84BFynOTKuUWXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7699:EWbYCgg5OI0eAEJQgs4AAEjjrKEYhBAArBcAopYCrNgJSCHXQjDIgCZCbB0AjIgAoglDMDYCYCLMkhUQUnAKPQSGoATVAApQ

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:3c3c3c24243c3c24
Color Hash:#2d5986

Other Hashes

Crop Resistant:0000080c0c00000c

Scan History

Scan history not available

Unable to load historical scan data