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

Low Risk

Confidence: 65%

3
Risk Score

Educational Alkosto clone on a vercel.app subdomain copying brand assets and phone numbers, but it discloses itself as unofficial and has no password or payment forms; no threat-intel, YARA or credential-exfiltration evidence.

Risk Factors (4)
Unofficial clone of the Alkosto brand on a vercel.app subdomain whose real creation date is unknown
Uses the real brand name, logo assets, copyright line and genuine Alkosto contact numbers
Reference to an off-platform clone backend (adminclone.pythonanywhere.com) suggesting an impersonation-style build
vercel.app subdomain flagged in IDS as a commonly actor-abused cloud hosting service
Safety Factors (5)
Visible footer disclosure stating it is an educational clone and not the official Alkosto site
No password, payment or disguised credential fields; forms are limited to search and newsletter signup
No Indicators of Compromise, no YARA malware patterns, no known-kit match and no credential exfiltration
No cross-origin credential submission and no obfuscated JavaScript behaviour
Page presents itself as a developer clone/tutorial build of a well-known product and offers no sign-in, wallet, payment or download step — a practice project, not an impersonation attempt
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; it also runs on subdomain 'frontend-clone-alkosto'. Count 6 characters in 'vercel' holding two vowels versus 4 consonants. Splitting it apart reveals two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://frontend-clone-alkosto.vercel.app/

Page Load Overview

1.07s
Total Load Time
580 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
10216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
364.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
32.16.183.7Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
323.88.71.83Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
3104.20.42.169Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
335.173.69.207Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
3146.75.122.208Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
323.50.131.157Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
32.16.183.8Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, 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

T11EA28279824C26B7433706C4E6A1FB2D70A3515DCA531E48BDFCCB99DBD0C91C82A4AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:L+/4S8ALpLNNST4nRLb/GPwImITqSt6A0M:q//8ALpZjR3/tWqSt6A0M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21934:EBYJoxiQYXcACJAFDBBFxjqVJo/gRDADQQNgoCoFJAiAGUACOkAzqQCYUFQE8ZCnA43IJIAjziEoA0YQgMFGAABgC9gzgKx5

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:#53ac59

Scan History

Scan history not available

Unable to load historical scan data