Security Scan Report: shopgirls.com

Submitted: Jan 24, 2026, 10:29:07 AMCompleted: Jan 24, 2026, 10:30:51 AMpubliccompleted
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Summary

This website contacted 13 IPs in 4 countries across 13 domains to perform 209 HTTP transactions. The main domain is shopgirls.com and was registered NaN years ago.

Submitted URL: https://shopgirls.com

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate e‑commerce site with no detected security threats.

Safety Factors
Well‑established domain (>27 years old)
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Meta tags consistent with the site’s business
Domain age information unavailable

Details

Page Title

Shopgirls-Best Women's Clothing, Gift & Accessories Shop in KC!– SHOPGIRLS

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(57%)

Domain Information

Within the commercial generic top-level domain (.com), 'shopgirls.com' is registered. The core label 'shopgirls' covers 9 characters containing two vowels alongside seven consonants. Splitting it apart reveals 2 words: shopgirl, s. Median word length comes out to 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://shopgirls.com

Page Load Overview

10.71s
Total Load Time
244
HTTP Requests
17
Domains
7.9 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
Text Length:7,515 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping57% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
57%
entertainment media
53%
adult content
44%
healthcare medical
39%
documentation technical
26%

Detected Features

Search
Products
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2834.120.87.25Sweden
1823.227.39.200Ottawa, Ontario, Canada
AS13335CLOUDFLARENET
1823.227.38.65Ottawa, Ontario, Canada
AS13335CLOUDFLARENET
18157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
18151.101.2.137Unknown
1834.120.150.22Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
18172.217.20.136United States
AS15169GOOGLE
18104.26.1.14United States
AS13335CLOUDFLARENET
18104.20.38.28UnknownUnknown
18104.16.174.226United States
AS13335CLOUDFLARENET
24413--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15D74E7C0D43D293E005312B6A265B5D5BA5B3873F72608C8B2BFD3696F94F144A6F42E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:YiDfiJrckwECUF4k2h0NLYvettW+/kQMfECXj9QGjj9QGuG:YSkvMmG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:350099:kCD4CkhMCGAeDciAqKQcwBEaUyBAQkAiBADqwSYEKMcQwAFALwcYdzSLjYygNSGqgZhCDBEgAOBBkBWQMBCANAKQAVEJEGIo

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:00ffff8181c9ffff
Perceptual Hash:fb46867b790c1463
Difference Hash:69080b3b1b1b0c09
Wavelet Hash:00e7e7818181e7ff
Color Hash:#5d53ac

Scan History

Scan history not available

Unable to load historical scan data