Security Scan Report: falabella.vercel.app

Submitted: Completed: publiccompleted
This website contacted 2 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://falabella.vercel.app/

AI Security Verdict

Moderate Risk

Confidence: 60%

4
Risk Score

Dormant Vercel 404 page on a brand-named subdomain (falabella). No forms, no credential harvesting, no malware or threat-intel hits; suspicious naming only, so moderate risk at most.

Risk Factors (2)
Brand-name subdomain (falabella) published on an instant free hosting platform with no legitimate content — a pattern sometimes used to pre-position domains for later phishing
Host is a shared-hosting tenant whose actual creation date is unknown; the platform apex age is not attributable to this page
Safety Factors (4)
No credential, login, or payment form anywhere on the page
No obfuscated JavaScript, no cross-origin credential exfiltration, no hidden password/card fields
No threat-intelligence, YARA, or Safe Browsing indicators of compromise
The rendered page is a standard platform 404 and requests no user interaction beyond a 'Go back' button
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

You're looking at domain 'falabella.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'falabella'. Count 6 characters in 'vercel' holding 2 vowels versus 4 consonants. Segmentation suggests two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://falabella.vercel.app/

Page Load Overview

0.48s
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
31%
government public service
29%
healthcare medical
29%
technology software
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.3Aws · 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

T16DF1EA9170613A3FF2338962189B611D313CE006FD175ECB998A95F09ADE5E23A7FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:a7e9POh8/QBFytD7uYjx5a17XOuT24gEcy5m:WuGh84BFy5719ElXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7945:YQQQV4lrAAoJYiAE0EYILElwyMOK4JQBjAAAoGLzIEkBSEJBQVHAABE0MAgaFgGT4gZAiAKFIEIoMKwQRwAUEsASQKWFkFFS

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:fcfcfce420303c24
Color Hash:#3a7867

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data