Security Scan Report: autoescolaaraucaria.vercel.app

Redirected to:
https://online-debitante.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 2 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

Moderate Risk

Confidence: 62%

5
Risk Score

Dead Vercel 404 on a free subdomain carrying an unverified single-source phishing report and rotated to a card-related name; no forms captured, but the infrastructure should be avoided.

Risk Factors (3)
Single-source, unverified phishing report against the primary domain.
Suspicious subdomain rotation to a card-related name on a free hosting platform.
Content is a bare deployment-not-found error page on a tenant whose creation date cannot be determined.
Safety Factors (5)
No forms, no password fields, no payment fields — no credential or payment harvesting observed on the captured page.
No JavaScript malware, no obfuscated script, no credential exfiltration, no known kit in the roster.
No brand displayed, so no brand impersonation detected.
No concrete malicious signal: the threat-feed matches name third-party or shared hosts, or rest on a single feed or a reputation label, so they were not counted; no hunting rule / Safe-Browsing / IDS / credential form / brand impersonation either. Elevated risk rested on domain age or reputation alone; clamped from 7 to 5
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 5
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'autoescolaaraucaria.vercel.app' is registered with subdomain 'autoescolaaraucaria'. Count 6 characters in 'vercel' holding two vowels versus four consonants. Splitting it apart reveals two words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

This page doesn’t exist It may have been moved, removed, or never existed. 494 DEPLOYMENT_NOT_FOUND frat: :zkrwx-1793137858797-25f¢29Tb324p VIEW DOCUMENTATION / COPY DEBUG PROMPT

Page Load Overview

1.18s
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 technical58% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
58%
news media journalism
33%
cryptocurrency blockchain
32%
technology software
31%
government public service
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
32--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FFF1D99170653A3EF2338922189B511D313CE007ED275ECE998A85F09ADE5E23A6FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:G7e9POh8/QBFytD7uYjY53A7XOuT24gEcy5m:SuGh84BFy571kJkXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7940:YAmOElhCguO4NCaKQFWwAJxEgyLBAY4tBEBahRBJAzgYiEGGECjAGTIIQIoiChWNBiLAMESIgEQyfCEAhkTFRSkEBAGiYAG4

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:fcfcfce4041c3820
Color Hash:N/A

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data