Security Scan Report: anacapri-ecommerce.vercel.app

Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://anacapri-ecommerce.vercel.app/

AI Security Verdict

Low Risk

Confidence: 82%

1
Risk Score

Empty Vercel deployment returning a standard 404 page; no forms, no scripts of concern, and no threat-intelligence hits. Only generic hosting-abuse notices, which describe the platform, not this page.

Safety Factors (4)
Bare 404 error page with no interactive content, no forms, no downloads
No malicious scripts, no third-party script hosts, no obfuscated JavaScript
No threat-intelligence, hunting rule, or kit-roster findings against the page or its resources
Generic platform 404 — nothing attempting to collect data or impersonate a brand
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

Domain 'anacapri-ecommerce.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'anacapri-ecommerce'. Its registrable label 'vercel' stretches across 6 characters split between two vowels and 4 consonants. Word splitting yields two words: ver, cel. Median word length comes out to 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. 494 DEPLOYMENT_NOT_FOUND arnd: : f8v7k-1792709444381-2a29684ac14t VIEW DOCUMENTATION / COPY DEBUG PROMPT

Page Load Overview

0.19s
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 technical57% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
57%
news media journalism
32%
technology software
31%
healthcare medical
31%
government public service
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
24--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18CF1FB91B0613A3EF2378962189B511D313CE007ED275ECA998A45F09EDE5E23A7FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:G7e9POh8/QBFytD7uYje5FA7XOuT24gEcy5m:SuGh84BFy571SDkXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7940:YAmOElhCguG4NCaKQEWwAJxEiyLBAY4tBEBahRBJAzgYiEGGECjAGTIYAYoiCgWNBiLAMESIgUQyfCEAhkTFRSkEBAGCYAG4

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:fcfcfce4243c3820
Color Hash:N/A

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data