Security Scan Report: boozio.shop

Redirected to:
https://alexa.amazon.com/about
Submitted: Apr 25, 2026, 5:23:36 AMCompleted: Apr 25, 2026, 5:24:53 AMpubliccompleted
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Summary

This website contacted 8 IPs in 1 country across 8 domains to perform 114 HTTP transactions. The main domain is alexa.amazon.com and was registered NaN years ago.

Submitted URL: https://boozio.shop/

Effective URL: https://alexa.amazon.com/aboutRedirected

AI Security Verdict

Moderate Risk

Confidence: 75%

5
Risk Score

Unranked domain mimics the Alexa brand and redirects to the official site; high risk of brand misuse despite no malicious payload.

Risk Factors
Unranked domain impersonating a well‑known brand
Multiple redirects (4) from the initial domain
Lack of legitimate brand ownership (domain does not match brand)
Potential for phishing or SEO abuse
Safety Factors
Final destination is a legitimate Amazon subdomain
No credential or payment collection forms
No malicious scripts or Indicators of Compromise detected
Domain age is over 30 years (well‑established)
Established domain (11498 days old) with no strong malicious indicators — risk clamped from 7 to 5
Domain age information unavailable

Details

Page Title

Alexa

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

technology software

(79%)

Domain Information

Within the commerce-oriented generic top-level domain (.shop), 'boozio.shop' is registered and has no subdomain. The registrable portion 'boozio' spans 6 characters split between four vowels and 2 consonants. Segmentation suggests 2 words: booz, io. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://boozio.shop/

Page Load Overview

7.93s
Total Load Time
114
HTTP Requests
8
Domains
70.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:2,526 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software79% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
79%
education learning
73%
entertainment media
70%
e-commerce shopping
64%
social media network
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1644.215.133.78United States
14104.21.85.4United States
14108.138.7.114United States
14146.75.121.16United StatesUnknown
143.174.47.225United States
AS16509Amazon.com, Inc.
1454.221.229.20United StatesUnknown
14184.24.77.26United StatesUnknown
14104.21.61.26United States
AS13335Cloudflare, Inc.
1148--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FD540CA4F9A1302260A711B4A1BF650E2272D223D606CD94B5BCD1D42FE9FDE4D73B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:NENVYGYB1WB55CqnM8dtPLKlj7hSZKjS733DT+1P7WDbDxndre0Z5nKgrgPlt7+a:+NVYGYB1WB55CqnM8dtPLKlj7hSZKjS+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:280392:Wl3FJCxVInEIQLMzUB8BJCgJyDIsEALBMqsqnwbkCB5a2iCwBAlFCQSBFHoFRQKgbcYAJGACBzW+gskMpkTjsAVGTpA6AkoA

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:00000083ffffffff
Perceptual Hash:be0b40c4e77f2f02
Difference Hash:adff7b1f04373810
Wavelet Hash:00000081ffdbffff
Color Hash:#aa87c5

Scan History

Scan history not available

Unable to load historical scan data