Security Scan Report: autoimportferia.vercel.app

Submitted: Sep 25, 2026, 2:50:39 AMCompleted: Sep 25, 2026, 2:52:45 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 65%

7
Risk Score

Currently an empty Vercel 404 page, but its primary domain carries a single-source phishing report. No forms or malware present, yet the domain-level phishing indicator warrants caution.

Risk Factors (2)
Single-source phishing threat-intel report on the scanned page's primary domain
Unknown subdomain creation date on an instant-publish hosting platform (.vercel.app)
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

The domain name 'autoimportferia.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'autoimportferia'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside four consonants. Word splitting yields two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://autoimportferia.vercel.app/portal/bhd

Page Load Overview

0.21s
Total Load Time
3 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 technical59% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
59%
news media journalism
32%
technology software
31%
healthcare medical
30%
government public service
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T156F1EB91B061363EF23389221897511D3138E007FD275EDAA98A85F09ADE5E23A3FD85

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:a7e9Awh8/QBFytFOjk5bG7XOuT24gEcy5m:Wurh84BFynOopWXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7699:EWbYCgg5OA0eAEJQgs4AAEjirKE4hBAA7BcAopQCrNgJSCHXQjDIgCZCbB0AjIgAoglTMDYCYCLMkhUQUnAKPASGoATVAApQ

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:fffff7e7e7f7ffe7
Perceptual Hash:b38ccc993366cc99
Difference Hash:0000080c0c00000c
Wavelet Hash:0c0c3c24273f3f27
Color Hash:#87a2c5

Other Hashes

Crop Resistant:0000080c0c00000c

Scan History

Scan history not available

Unable to load historical scan data