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

Low Risk

Confidence: 72%

2
Risk Score

Empty Vercel 404 deployment-not-found page with no forms, no content and no threat-intel hits. Brand-name subdomain is a squatting risk to monitor, but nothing malicious is served here.

Risk Factors (2)
Brand name (Falabella) used as a free hosting subdomain with unknown creation date — possible brand squatting or a placeholder for future abuse
Subdomain on a shared hosting platform where the platform's registration age does not apply to this page
Safety Factors (4)
No credential, login or payment form present (verified form facts: 0 forms)
No JavaScript behavioural signals, no obfuscation, no cross-origin credential exfiltration
No page-level Indicators of Compromise, YARA or Safe Browsing hits
Page content is only a standard framework 404/deployment-not-found notice
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), 'falabella.vercel.app' is registered and includes subdomain 'falabella'. The registrable portion 'vercel' spans 6 characters with two vowels and four consonants. It segments into 2 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://falabella.vercel.app/

Page Load Overview

0.29s
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 technical56% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
56%
news media journalism
30%
government public service
30%
healthcare medical
29%
technology software
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.131Aws · 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

T1BFF1D99170653A3EF2338962189B511D313CE007ED275ECA998A85F09ADE5E33A6FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:G7e9POh8/QBFytD7uYjR5uA7XOuT24gEcy5m:SuGh84BFy571lEkXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7940:YAmOElhCguG4NCaKQEWwAJ5EgyLBAY4tBEBahRBJAzgYiEGGECjAGXIIAIoiCgWNBiLAMESIgEQyfCEAhkTFRSkEBAGCYAG4

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:fcfcfce4243c3020
Color Hash:#b7bf40

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data