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Security Scan Report: autoescolacnhdigital.vercel.app

Submitted: Sep 27, 2026, 10:50:08 AMCompleted: Sep 27, 2026, 10:50:43 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Legitimate-looking driving-school site on a free vercel.app subdomain, showing its own brand with only a contact form and no credential/payment fields, no Indicators of Compromise, and no malware. Risk is low; the IDS notices are generic platform-abuse reputation, not page content.

Risk Factors (2)
Hosted as a free subdomain on vercel.app with no attributable creation date (shared-hosting tenant, actual page age unknown)
Domain is unranked in Cisco Umbrella (weak prior only)
Safety Factors (5)
Self-branding: page name matches its own hostname, no claim to be another company
No credential-harvesting or payment form present
No Indicators of Compromise, YARA, Safe Browsing, or kit-roster hits
No cross-origin form submission and no JavaScript credential exfiltration
Content classifier reads as education/learning (89%) and government public service (87%) — consistent with a legitimate driving-school site
Domain age information unavailable

Details

Page Title

MMS - AUTO ESCOLA CNH DIGITAL LTDA

Scan Type

public

Domain Name Analysis

You're looking at domain 'autoescolacnhdigital.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'autoescolacnhdigital'. Its registrable label 'vercel' stretches across 6 characters containing 2 vowels alongside four consonants. Splitting it apart reveals 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://autoescolacnhdigital.vercel.app

Page Load Overview

1.47s
Total Load Time
5 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:pt-BR
Text Length:5,251 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning89% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
89%
government public service
87%
documentation technical
70%
cryptocurrency blockchain
52%
corporate business
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22--

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

T16D42EA3160803136B523CBC7B366A78F70C9D255C5230FB1EBF89F9586C5DD2992AB0A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:eHgIahjta24iAMMhlIdNlOdAOusaQC9TXG4tVp:meta24i7MhlId7LyOVp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13000:DUASjEg4OCx2mAxkEAMeUcJDBhQBooYjYXAUAGWY4nA9AhCpHJjUABgFQpMSggAiZIiQAMwkBh6ABBiRI1BcpDQZyGEGXaKA

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:f904040400ffffff
Perceptual Hash:9212eded4998cdc3
Difference Hash:23ccccccdd333874
Wavelet Hash:f900040400ffffff
Color Hash:#a787c5

Other Hashes

Crop Resistant:23ccccccdd333874,76564a7030607858,f7ccccccccdcdcf7

Scan History

Scan history not available

Unable to load historical scan data