Security Scan Report: autoescolaaraucaria.vercel.app

Redirected to:
https://online-debitante.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 4 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

High Risk

Confidence: 62%

7
Risk Score

Vercel 404 page on a subdomain with a single-source unverified phishing report and since repointed to a new subdomain. No forms or scripts captured, but the phishing indicator on the exact host warrants avoidance.

Risk Factors (3)
Threat-intel phishing report on the primary domain (single source, unverified community submission)
Free hosting-platform subdomain with unknown creation date, discarded and replaced by a differently named subdomain
Repointed hostname whose new name suggests a debit/financial theme, inconsistent with the original driving-school branding
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); it also runs on subdomain 'autoescolaaraucaria'. The core label 'vercel' covers 6 characters with two vowels and four consonants. Splitting it apart reveals two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

This page doesn’t exist It may have been moved, removed, or never existed. 404 DEPLOYMENT_NOT_FOUND fral: :bp}2x-1794354821329-13f6b8c502bb VIEW DOCUMENTATION / COPY DEBUG PROMPT

Page Load Overview

0.39s
Total Load Time
126 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 technical58% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
58%
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
364.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
34--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T163D2CF7371952A3DF223CC22088BE01C347DD05BED076B8AAA1996F0DADB5D1163BD82

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:HE+rfPXBcAFmvgTd/4+LLLTx/7nNmzD41UAaocIm:HEgfPLLftn8QtaD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30643:5mJGDUCigA4dmttSXgfIKSGzguXAY6BAwyBBIGFhTYGBRNDWzQOmgDwaioABRtITIhND2TYCOE2FBAAATAMNIDi2gfQOkHPS

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:f0f0f8e0070f1f07
Color Hash:07000000000

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data