Security Scan Report: snickfit.store

Submitted: Apr 29, 2026, 5:33:46 AMCompleted: Apr 29, 2026, 5:35:19 AMpubliccompleted
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Summary

This website contacted 10 IPs in 4 countries across 10 domains to perform 2 HTTP transactions. The main domain is snickfit.store and was registered NaN years ago.

Submitted URL: https://snickfit.store/Thigh-High-Compression-Socks-Open-Toe/catalogue/OcV1fBdH/PNEXWEDD

AI Security Verdict

High Risk

Confidence: 82%

7
Risk Score

New, unranked e‑commerce site using brand‑like name and urgent promos; high risk of fraudulent shopping scam.

Risk Factors
Brand new (<7 days) domain
Unranked domain reputation
Possible brand impersonation on a low‑reputation domain
Aggressive marketing language without substantiating content
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(35%)

Domain Information

The domain name 'snickfit.store' uses the .store top-level domain. The second-level label 'snickfit' is 8 characters long with two vowels and 6 consonants. It segments into three words: s, nick, fit. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://snickfit.store/Thigh-High-Compression-Socks-Open-Toe/catalogue/OcV1fBdH/PNEXWEDD

Page Load Overview

3.30s
Total Load Time
48
HTTP Requests
17
Domains
957 KB
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:1,262 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical35% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
35%
documentation technical
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12151.101.2.217United States
AS54113Fastly, Inc.
452.222.232.36United States
AS16509Amazon.com, Inc.
4192.178.183.94United States
AS15169Google LLC
413.206.21.165Mumbai, Maharashtra, India
AS16509Amazon.com, Inc.
4142.251.20.95United States
AS15169Google LLC
418.64.16.115United States
AS16509Amazon.com, Inc.
4157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
4142.251.14.97United States
AS15169Google LLC
420.250.198.32Zurich, Zurich, Switzerland
AS8075Microsoft Corporation
4142.251.110.95United States
AS15169Google LLC
4810--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T154731A570410213850279D969FF17F1A32BBF02BC95795DAFA294B20CBCBED51E6338A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:CK7qg4y7SQkLLsoPgvxgGe6JoJK0yRuB5+8LULhLJLg4neiKMLrOLwLjLNLunFjS:nqZy7+29cUerAGmXj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:78800:WCZmCHQCgDZNRjXpJEEYOIxKmEDLDEzRCkBcAfBwQAAIBMACBqCFJgMFj5gQCBRCQEEgBZA7UJBkhBIgBABNmAxyUkmo8GAY

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:00ffffffe7e7ffff
Perceptual Hash:b71d9d37378c2222
Difference Hash:4b120c004d4d000c
Wavelet Hash:00c3cccc27273f3f
Color Hash:#862d46

Other Hashes

Crop Resistant:4b120c004d4d000c

Scan History

Scan history not available

Unable to load historical scan data