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Security Scan Report: www.amazon-clone-nextjs.vercel.app

Redirected to:
https://amazon-clone-nextjs.vercel.app/
Submitted: Jul 23, 2026, 2:45:03 PMCompleted: Jul 23, 2026, 2:46:23 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 8 domains to perform 2 HTTP transactions. The main domain is amazon-clone-nextjs.vercel.app and was registered NaN years ago.

Submitted URL: http://www.amazon-clone-nextjs.vercel.app/

Effective URL: https://amazon-clone-nextjs.vercel.app/Redirected

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site mimics Amazon branding on an unranked Vercel subdomain without collecting credentials; treat as moderate risk.

Risk Factors
Brand impersonation on unranked subdomain
Unknown domain age
Hosting platform subdomain could be newly created
Safety Factors
No forms collecting credentials or payments
No malware or suspicious scripts detected
No network IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Amazon Clone

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

entertainment media

(67%)

Domain Information

You're looking at domain 'www.amazon-clone-nextjs.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'www.amazon-clone-nextjs'. The registrable portion 'vercel' spans 6 characters containing two vowels alongside four consonants. It segments into 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 http://www.amazon-clone-nextjs.vercel.app/

Page Load Overview

4.98s
Total Load Time
73
HTTP Requests
11
Domains
2.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
Script Type:Latin
Text Length:2,144 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media67% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
67%
technology software
52%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13192.178.170.95Google · CDNUnited States
AS15169Google LLC
10104.26.4.108Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
10146.75.120.176Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
10216.198.79.67United States
AS16509Amazon.com, Inc.
10146.75.121.16Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
10104.18.32.221Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1064.29.17.3United States
AS16509Amazon.com, Inc.
737--

Detected Technologies1

Stripe
35%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B0B287E1CCD4513748160DD9F43B33E6E899903DDAA68D2092FC6A8F27C1CD6CB3295A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:9Cp3k2U1Wd0P9Z6eV9HD8p4WYjGxYjSYjnYjnYj1/zUYjDDhUZPLh1k50tK1npLw:9Cp3k2UU0P9ZtV9HDW4WYjYYjSYjnYjz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23735:WA8SQARNIAKKhBCAABtCQEjFBQKhCQBHgABUBQAkbYJ0AEaAiCiUgByPFAME4gwWhKjJmGyihbIXKKVMm0AMYA0AIQE2IIHQ

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:13000024ffffdddd
Perceptual Hash:c82558d9b75aa55a
Difference Hash:ebb6e7edaa919191
Wavelet Hash:03000011ffffdddd
Color Hash:#86702d

Other Hashes

Crop Resistant:ebb6e7edaa919191,bbd1c467d3d16c0c

Scan History

Scan history not available

Unable to load historical scan data