Security Scan Report: sugarrushza.shop

Submitted: Mar 25, 2026, 12:43:08 AMCompleted: Mar 25, 2026, 12:44:29 AMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 6 domains to perform 35 HTTP transactions. The main domain is sugarrushza.shop.

Submitted URL: https://sugarrushza.shop/

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Sweet Bonanza

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(56%)

Domain Information

Domain 'sugarrushza.shop' uses the commerce-oriented generic top-level domain (.shop) while skipping any subdomain. The core label 'sugarrushza' covers 11 characters holding 4 vowels versus seven consonants. Breaking it apart gives three words: sugar, rush, za. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.20s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:216 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping56% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
56%
news media journalism
44%
adult content
43%
healthcare medical
38%
entertainment media
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1142.250.201.163United States
0192.178.183.119United States
0172.67.151.12United States
AS13335Cloudflare, Inc.
0185.199.110.153United States
0142.251.110.95United States
0104.17.24.14United States
16--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FE44123B12569927242B7254FEB6EF9919A00247C913D8A7BCFD05ADC7CFEA5017B380

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:613OcFqzpsNZBBjEGQZNL/QeUEymsoGa/bU1gg:tlITBjEhL//Upa/6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:268778:IIjIKYeDBNgfxZR4KELICggElBGgEJIUkNFeGErBE4MAgExjpggpAKYS5iSIB1NEFA4MAhk0CUBgk3oOFgSCOIJgwRCAsCUQ

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:c3fff3ffc38181b9
Perceptual Hash:edc44b39932c6c8b
Difference Hash:2b1617162b333361
Wavelet Hash:81f7f3f3818181b5
Color Hash:#87c591

Scan History

Scan history not available

Unable to load historical scan data