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Security Scan Report: brasilpedagiodigital.vercel.app

Submitted: Sep 25, 2026, 7:50:07 AMCompleted: Sep 25, 2026, 7:50:42 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 62%

3
Risk Score

Deployment currently paused with no forms or malware, but the primary domain carries a single-source phishing report and a toll-payment-style name. Treat as high risk and avoid entering any data.

Risk Factors (3)
Primary-domain phishing Indicator of Compromise (single-source, unverified)
Deceptive/suggestive domain name mimicking a toll-payment service
Instant-hosting subdomain with unknown creation date
Safety Factors (5)
No forms of any kind (0 password, 0 payment, 0 email fields) on the captured page
No JavaScript malware or YARA hits, no credential exfiltration, no cross-origin form submissions
Deployment is currently paused with no user-facing lure content
No brand impersonation visible in the rendered page
No concrete malicious signal (no IoC / YARA / Safe-Browsing / IDS / credential form / brand impersonation) — elevated risk rested on domain age or reputation alone; clamped from 7 to 3
Domain age information unavailable

Details

Page Title

Deployment Paused

Scan Type

public

Domain Name Analysis

The domain 'brasilpedagiodigital.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'brasilpedagiodigital'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus 4 consonants. Tokenizing the label suggests two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://brasilpedagiodigital.vercel.app/

Page Load Overview

0.14s
Total Load Time
2 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:94 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service65% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
65%
news media journalism
60%
healthcare medical
57%
cryptocurrency blockchain
56%
real estate property
52%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Vercel
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CA31967755B1702EF33B88FE38E633642244811BC0860F99F618BBB4E2D7CA65123345

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hR01AUJXgZH+6n9zS3rJGm9q8hDH48OFFxnrFA+Dclgz9Dln38yRL48Ap7y5i2ta:TGoZ9S3dGNGDY7nnrm+AgJJ8E0X7wn0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1653:BAAQAABACAAAAABAIAAgAIAIAACABAEIAACAgIIAAAAAAAADAEiAAAAgAQAGAIgAIIYAAAgAAAgAMAAAABAAAAAAAEAAQAAA

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:e699cc9966999989
Difference Hash:0000000c0c00000c
Wavelet Hash:0f0f3f27243c3c24
Color Hash:#e06c75

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data