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Security Scan Report: www.amazon-clone-two-tan-37.vercel.app

Redirected to:
https://amazon-clone-two-tan-37.vercel.app/
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/e1e46789-6422-4d7c-8a79-287da4cdcd76Domain and IP registration (RDAP)/api/v1/rdap/e1e46789-6422-4d7c-8a79-287da4cdcd76How often this domain was scanned/api/v1/domain/stats/amazon-clone-two-tan-37.vercel.appScan history for this domain/api/v1/domain/history/amazon-clone-two-tan-37.vercel.app?limit=15
This website contacted 5 IPs in 1 country across 3 domains to perform 20 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://www.amazon-clone-two-tan-37.vercel.app/

Effective URL:
https://amazon-clone-two-tan-37.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Unauthorized Amazon look-alike storefront on a free vercel.app subdomain, flagged by Google Safe Browsing for social engineering; no credential forms seen, but brand impersonation plus the Safe Browsing hit make it unsafe.

Risk Factors (5)
Google Safe Browsing Social Engineering detection
Impersonation of the Amazon brand on a domain that is not Amazon's
Free hosting subdomain with unknown creation date and a name that admits it is a 'clone'
Unranked domain with no legitimate corporate identity behind the Amazon footer copyright claim
IDS alerts for commonly actor-abused cloud hosting service
Domain age information unavailable

Details

Page Title

Online Store

Scan Type

public

Domain Name Analysis

The domain name 'www.amazon-clone-two-tan-37.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'www.amazon-clone-two-tan-37'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside four consonants. Word splitting yields two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Deliver to amazon O india ' ally Search Amazon Account & Lists — & Orders 7 Custom: Prime Å GREAT INDIAN FESTIVAL & DEALS REVEALED > ST ID New deals added everyday 4 Debit 10” Instant Discount*...

Page Load Overview

1.05s
Total Load Time
997 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:1,075 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping53% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
53%
technology software
52%
documentation technical
44%
corporate business
39%
finance banking
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
464.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
464.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
205--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D7E1243160F5242702E2934A6D25A72E6E869957CB4F5B1232AC0FCD9FD3E83DC1356E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:neGgRJJIBfDUzTN+1ehSmqZtrBqm06q0UhOBzKh:eG4JISzANrr4b37IBzKh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6891:A4wBZBGYEakiAEKYggZCCEGQNUJoAQ0KBkLqRACYIWZ4IIJAACRpwFQBBhAASpIQQAFBCiCI4CIYAgEiIKviRQAcMAQChBCH

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

Unable to load historical scan data