Security Scan Report: autoimportferia.vercel.app

Submitted: Jul 16, 2026, 10:50:55 AMCompleted: Jul 16, 2026, 10:53:25 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 99%

7
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

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), 'autoimportferia.vercel.app' is registered with subdomain 'autoimportferia'. The registrable portion 'vercel' spans 6 characters containing 2 vowels alongside four consonants. Tokenizing the label suggests two words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.35s
Total Load Time
2 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 technical78% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
78%
government public service
45%
cryptocurrency blockchain
37%
technology software
35%
healthcare medical
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.3United States
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E481A4377B69211AF333C89FA0C26B993010A121D16BDAB9FF579F25D5CA1651E0378C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGR6Z9qGNGDY7nnr9YN6yhcCJd1XfBA3ILreuoi0Z1nde2ORegwDMWNW0eNMc/Jv:TGRe91n5O6Yp63XKk1Vr3hcRkM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3849:BAAQQQSAIAAygGSABIQEEBBACgiAAIDAABIUwAAAkgcCCEGAgkCAEAAAEABKIAEggCDBoQOEcQwAEAAICFEA5AAJAAkACKwA

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:ffffffcfc3c3ffff
Perceptual Hash:b199ce663199cc66
Difference Hash:000000181e040000
Wavelet Hash:3f3f3f0303030f0f
Color Hash:#d22dae

Other Hashes

Crop Resistant:000000181e040000

Scan History

Scan history not available

Unable to load historical scan data