Security Scan Report: assistente-gvbr.vercel.app

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Submitted: Sep 12, 2026, 1:50:04 AMCompleted: Sep 12, 2026, 1:50:25 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Page impersonates the GOV.BR brand on an unranked Vercel subdomain with no credential collection; moderate risk due to brand mismatch and unknown age.

Risk Factors (3)
Brand impersonation without matching domain
Unranked / unknown‑age subdomain on shared hosting
Lack of reputable domain reputation
Domain age information unavailable

Details

Page Title

Guia Digital

Scan Type

public

Domain Name Analysis

You're looking at domain 'assistente-gvbr.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'assistente-gvbr'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside four consonants. It segments into 2 words: ver, cel. The median word length lands 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

0.60s
Total Load Time
334 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:121 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as pt

Website Classification

Primary Category

government public service88% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
88%
healthcare medical
40%
technology software
36%
finance banking
30%
adult content
28%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.198.79.195United States
AS16509Amazon.com, Inc.
1142.250.154.95Google · CDNUnited States
AS15169Google LLC
1192.178.183.95Google · CDNUnited States
AS15169Google LLC
1192.178.183.94Google · CDNUnited States
AS15169Google LLC
1216.198.79.3United States
AS16509Amazon.com, Inc.
85--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17531FFB7159064182360C3209CD6F845CD6B950BC68D9CA1FAED46EE9FD5FD2C4EB224

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TCupVNSNzLbs2blmQegOmQeaG0o0oqwjK:TCu6L4lTCTL0o0/we

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1821:AAAEAAAAAAABAAAAAAAEJAABQiADANwQAAIAAJECAEkICJAAAAAAAQgAAEABAAUSAAAAlAAKgAAAAAAAAAAAAAAAAAAQCEAA

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:0008181800181800
Perceptual Hash:9999996666cccc66
Difference Hash:085a32324c32320c
Wavelet Hash:c4c8d8d8c0d8d8c0
Color Hash:#a5ac53

Other Hashes

Crop Resistant:085a32324c32320c

Scan History

Scan history not available

Unable to load historical scan data