Security Scan Report: moniquestunning.sellfy.store

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Submitted: Oct 22, 2025, 3:08:13 AMCompleted: Oct 22, 2025, 3:09:22 AMpubliccompleted
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Summary

This website contacted 37 IPs in 1 country across 4 domains to perform 15 HTTP transactions. The main domain is moniquestunning.sellfy.store and was registered NaN years ago.

Submitted URL: https://moniquestunning.sellfy.store/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected security threats.

Safety Factors
Well‑established domain (>8 years)
No malicious Indicators of Compromise
No forms collecting sensitive data
No redirects or external links
Domain age information unavailable

Details

Page Title

B́T

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(73%)

Domain Information

Domain 'moniquestunning.sellfy.store' uses the .store top-level domain and includes subdomain 'moniquestunning'. The core label 'sellfy' covers 6 characters holding 1 vowel versus 5 consonants. Tokenizing the label suggests 2 words: sell, fy. Average segment length settles at three characters. The linguistic tilt is Norwegian for 'smell'. Secondary signals appear in Swedish and Danish.

Screenshot

Security scan screenshot of https://moniquestunning.sellfy.store/

Page Load Overview

30.72s
Total Load Time
15
HTTP Requests
4
Domains
266 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
Text Length:281 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping73% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
73%
finance banking
44%
news media journalism
40%
adult content
37%
healthcare medical
33%

Detected Features

OG: Website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1552.222.232.162United States
AS16509AMAZON-02
018.172.112.127United States
AS16509AMAZON-02
018.172.112.49United States
AS16509AMAZON-02
018.172.112.75United States
AS16509AMAZON-02
099.84.152.56United States
AS16509AMAZON-02
099.84.152.92United States
AS16509AMAZON-02
03.214.66.127Ashburn, Virginia, United States
AS14618AMAZON-AES
018.172.112.22United States
AS16509AMAZON-02
052.222.232.209United States
AS16509AMAZON-02
02600:9000:20e8:2400:19:2330:cf40:93a1United States
AS16509AMAZON-02
1537--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19EE2612194F11423618BA0F1BAA96B4ABFD5D203CA0B894875FD17E41F87CD7CEB3658

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:zWEB1RZXQJqdR0A4TW6v+UrEQozuyTSyR4SW4Uveli5ONSqTJcJqbKyX4dTvVB8J:n1/Q4CCSyR4oUoWJqbKyX4y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33745:MASpDxXgQjiKiabqgBAgR5/0ABgIUAgFg2RGC4URi6jHYARKIqKpAgISqTHjJCDHNwoFkwZgEmIIUhsqQMlShBLElQQgaKY+

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:e7e7e7ffffffffe7
Perceptual Hash:b33373cdcccc3032
Difference Hash:080c4c3008000008
Wavelet Hash:e3e3c3d33f3f0000
Color Hash:#ac535d

Other Hashes

Crop Resistant:080c4c3008000008

Scan History

Scan history not available

Unable to load historical scan data