ScanMalware.com

Security Scan Report: snickfit.store

Redirected to:
https://snickfit.store/
Submitted: Apr 23, 2026, 5:32:09 PMCompleted: Apr 23, 2026, 5:33:45 PMpubliccompleted
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Summary

This website contacted 10 IPs in 4 countries across 10 domains to perform 89 HTTP transactions. The main domain is snickfit.store and was registered NaN years ago.

Submitted URL: http://snickfit.store/

Effective URL: https://snickfit.store/Redirected

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

New, unranked e‑commerce site with brand claim; high risk due to age and lack of reputation.

Risk Factors
Brand‑new domain with brand claim
Unranked domain reputation
E‑commerce style content on a newly registered site
Domain age information unavailable

Details

Page Title

Buy Snickfit products online at best prices on https://snickfit.store

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(92%)

Domain Information

Domain 'snickfit.store' uses the .store top-level domain without a subdomain. The core label 'snickfit' covers 8 characters with two vowels and 6 consonants. Tokenizing the label suggests three words: s, nick, fit. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://snickfit.store/

Page Load Overview

6.35s
Total Load Time
234
HTTP Requests
17
Domains
1.2 MB
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-IN
Text Length:6,101 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping92% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
92%
blog personal website
88%
news media journalism
84%
healthcare medical
80%
education learning
77%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
27151.101.194.217India
AS15169
23192.178.170.95United States
AS15169Google LLC
2318.64.16.124United States
AS16509Amazon.com, Inc.
23157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2320.250.198.32Zurich, Zurich, Switzerland
AS8075Microsoft Corporation
2313.206.21.165Mumbai, Maharashtra, India
AS16509Amazon.com, Inc.
23142.251.13.94United States
AS15169Google LLC
23142.251.127.95United States
AS15169Google LLC
23192.178.183.97United States
AS15169Google LLC
2352.222.232.56United States
AS16509Amazon.com, Inc.
23410--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14744F966117831B5142B64AACEF77F5C60EBB02BD625858BF75C4B18CBCBDC02F2A185

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:2aZyDnBLyQu/gcNNjP6T7ar7Jkdj/FqWDVy9j4yY0nZcbhTwJTGceJRGmXj:KB2P5d7Q0Y5cqL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:255414:MANBEEACC4JAQhjWCUKAiDRImAmkE9cQBDEmgAejAOAR3rCMAABSRWxMLGrMclAmhGjyAERAJkAEsAKgBAQGAYYQJP+EAQJo

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:00ffc3c3c383c3ff
Perceptual Hash:ed13926c137d641b
Difference Hash:7816372b2b27370a
Wavelet Hash:00ffc3c3c38181ff
Color Hash:#51783a

Other Hashes

Crop Resistant:4a17372b2327370a,110131b2b2010002,410b39191d591387

Scan History

Scan history not available

Unable to load historical scan data