Security Scan Report: decameroncolombia-new.vercel.app

Site favicon
Submitted: Sep 25, 2026, 3:50:15 AMCompleted: Sep 25, 2026, 3:51:26 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

Free vercel.app page masquerading as the Royal Decameron Colombia hotel chain with fake contact details; brand impersonation, no official domain. Avoid booking or sharing data.

Risk Factors (4)
Impersonation of a different entity's brand (Royal Decameron hotels) on a non-official domain
Placeholder/fake contact information inconsistent with the claimed hotel chain
Free hosting platform subdomain with no verifiable operator identity
Commercial booking/'Cotizar' intent aimed at harvesting prospective customer data under a false brand
Domain age information unavailable

Details

Page Title

Decameron Colombia - Hoteles Todo Incluido

Scan Type

public

Domain Name Analysis

You're looking at domain 'decameroncolombia-new.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'decameroncolombia-new'. Count 6 characters in 'vercel' containing 2 vowels alongside 4 consonants. Breaking it apart gives two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://decameroncolombia-new.vercel.app/

Page Load Overview

1.70s
Total Load Time
1.4 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:es
Text Length:1,924 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism45% confidence
Type: spa
Method: ml+structural

All Detected Categories

travel tourism
45%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
37216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3664.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
732--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17762B730A682106B6BBB95F9B353A32CE0BFC61EE8638E45F3AD809217D9D51DE41148

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:658uovaM6Lxg1xWvk0LmwUZsNsPji//N7i4IM6CXk:658uoyMgxg1UXnsPji//N7ioDXk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15705:AQCdwQEGsyUFCwCAsIImA4QRECKwBRZJAR2I0EAOldkgIERBkQhEDBCgIHIIyhCiZ5pGKBghIgBAOqFDxGZeDhQAgEEVTKII

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:00000000ffffffff
Perceptual Hash:ee1592b53b6ad260
Difference Hash:7cd085a3c3276525
Wavelet Hash:00000000ffffffff
Color Hash:#c9e06c

Scan History

Scan history not available

Unable to load historical scan data