Security Scan Report: brasilpedagiodigital.vercel.app

Submitted: Jul 2, 2026, 4:04:28 PMCompleted: Jul 2, 2026, 4:09:21 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is brasilpedagiodigital.vercel.app and was registered NaN years ago.

Submitted URL: https://brasilpedagiodigital.vercel.app/

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

The site shows no malicious indicators and is assessed as low risk.

Risk Factors
Subdomain on Vercel hosting platform with unknown creation date (could be newly created)
Safety Factors
No forms or fields that collect credentials
No malicious JavaScript behavior observed
No external malicious domains referenced
Domain age information unavailable

Details

Page Title

Deployment Paused

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(64%)

Domain Information

The domain name 'brasilpedagiodigital.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'brasilpedagiodigital'. The second-level label 'vercel' is 6 characters long holding 2 vowels versus 4 consonants. Segmentation suggests 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://brasilpedagiodigital.vercel.app/

Page Load Overview

0.23s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:94 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service64% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
64%
cryptocurrency blockchain
64%
news media journalism
59%
healthcare medical
56%
technology software
54%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.67United States
AS16509Amazon.com, Inc.
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17D31747755B1702DF23B8CFE38E633682244811BC0960F49B658BBB4E2C7DA75123244

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hR01AUJXgZH+6n9zS3rJGm9q8hDH48OFFxnrFA+Dclgz9Dln38yRL48Ap73SJta:TGoZ9S3dGNGDY7nnrm+AgJJ8E0X7K0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1653:BAAQAABACAAAAABAIAAgAIAIAACABAEIAACAgIIAAAAAAAAHAEiAAAAgAQAGAIgAIIIAAAgAAAgAMAAAABAAAAAAAEAAQAAA

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:e699cc996699cc89
Difference Hash:0000000c0c00000c
Wavelet Hash:3f3f3f27243c3820
Color Hash:#e0b96c

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data