Security Scan Report: frontend-clone-alkosto.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 11 IPs in 2 countries across 8 domains to perform 40 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://frontend-clone-alkosto.vercel.app/

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Impersonates Colombian retailer Alkosto on a vercel.app subdomain; Safe Browsing and threat intelligence flag social engineering/phishing. No credential or payment form was captured, but treat as deceptive.

Risk Factors (4)
Brand impersonation of the Colombian retailer Alkosto on an unrelated shared-hosting subdomain.
Google Safe Browsing Social Engineering detection.
Single-source phishing threat-intelligence report on the primary domain.
IDS alerts for actor-abused cloud hosting and suspicious .to DNS queries.
Domain age information unavailable

Details

Page Title

Alkosto Hiperahorro | Orgullosamente Colombiano

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'frontend-clone-alkosto.vercel.app' is registered and includes subdomain 'frontend-clone-alkosto'. Its registrable label 'vercel' stretches across 6 characters split between 2 vowels and four consonants. It segments into two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Venta: (601) 746 8001 — Servicio: (601) 407 3033 — Sigue tu pedido — Nuestras tiendas Catálogo Ayuda EE o * Micuenta Mi carrito Tecnología — Electrodomésticos Llantas y vehículos Muebles y colchone...

Page Load Overview

0.53s
Total Load Time
582 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:es
Text Length:2,049 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media57% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
57%
finance banking
47%
documentation technical
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1064.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
323.50.131.147Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3142.132.219.48Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
335.173.69.207Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
3104.20.42.169Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
32.17.100.155Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3146.75.122.208Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3172.66.161.212Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
323.50.131.150Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4011--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AEA2827D824C26B7533706C4E691FB2DB0A3515DCA531E48BDFCCB99DBD0C91C82A4AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:b+/4S8ALpLNNST4nRLb/GPwImITqSt6A0M:a//8ALpZjR3/tWqSt6A0M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21934:FAYpoxiQYXcACBAFDBBFxDqRJo/gZIACAQPgoCoFJAiAG0AGOkAyqRCYEFRE85CnA4nIJIAjzikoE0YQgMFGAABgCtgzgKh5

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:44637d3d1d19003c
Perceptual Hash:92e3647d92929b65
Difference Hash:99cad9d95133c4cc
Wavelet Hash:4c636d7d1d1f007c
Color Hash:17400030000

Scan History

Scan history not available

Unable to load historical scan data