Security Scan Report: autoescolaaraucaria.vercel.app

Redirected to:
https://online-debitante.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 3 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

Effective URL:
https://online-debitante.vercel.app/
Redirected

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Dead Vercel 404 error page with no content, forms, or malicious signals; the only concerns are the unknown subdomain age and unranked status, which are weak priors.

Risk Factors (3)
Unknown hosting-subdomain age (vercel.app tenant — parent apex age not attributable to this page)
Unranked domain with no Cisco Umbrella reputation
Scan recorded a domain change from autoescolaaraucaria.vercel.app to a different .vercel.app subdomain
Safety Factors (3)
No credential, login or payment forms of any kind
No malware, phishing kit, obfuscated JS or network exfiltration signals
No brand impersonation — page presents no brand or claim, only a platform error notice
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

The domain 'autoescolaaraucaria.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'autoescolaaraucaria'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside four consonants. Word splitting yields 2 words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.62s
Total Load Time
109 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 technical60% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
60%
news media journalism
32%
healthcare medical
31%
government public service
31%
technology software
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
33--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10D748E98327925796EA302E6A0AF6507B1383423B40D88B1F518FC756BF45972077FAF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:++sP+2PnlHu2aoOvyJZtCN0NKw5V0yrts:MrnxPOvyJZYok

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:367139:9ELeQBIAMFGlIFdmANRUuowDGII0AFKBU4CBAqFnIxoXBIGDIiiiuAQh4ATEsQUEIBJrgikAJuiBLIwkAGACSkECxhGgqXQR

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:b389cccc3333cccc
Difference Hash:0000000c0c00000c
Wavelet Hash:fcfcfce4040c3c24
Color Hash:#a353ac

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data