Security Scan Report: microperfumes.com

Submitted: Dec 24, 2025, 8:53:18 AMCompleted: Dec 24, 2025, 8:57:31 AMpubliccompleted
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Summary

This website contacted 16 IPs in 4 countries across 14 domains to perform 98 HTTP transactions. The main domain is microperfumes.com and was registered NaN years ago.

Submitted URL: https://microperfumes.com/collections/jean-paul-gaultier

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site shows no security concerns; appears to be a legitimate third‑party retailer.

Safety Factors
Well‑established domain with minimal risk category
Absence of suspicious forms or data collection fields
No known malicious Indicators of Compromise
No redirection or URL manipulation techniques detected
Domain age information unavailable

Details

Page Title

Jean Paul Gaultier – MicroPerfumes.com

Scan Type

public

Language

🇧🇩

BN

(50% confidence)

Category

unknown

(0%)

Domain Information

Within the commercial generic top-level domain (.com), 'microperfumes.com' is registered without a subdomain. The registrable portion 'microperfumes' spans 13 characters containing 5 vowels alongside 8 consonants. Splitting it apart reveals 2 words: micro, perfumes. The median word length lands at 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://microperfumes.com/collections/jean-paul-gaultier

Page Load Overview

250.53s
Total Load Time
98
HTTP Requests
14
Domains
334 KB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:50%
Script Type:Unknown
Text Length:10,000 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: unknown
Method: ML-based

All Detected Categories

No categories detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8184.24.77.154Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
63.174.46.47United States
AS16509AMAZON-02
618.66.102.93United States
AS16509AMAZON-02
634.120.110.54Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
618.66.102.107United States
AS16509AMAZON-02
623.227.39.200Ottawa, Ontario, Canada
AS13335CLOUDFLARENET
62.16.168.109Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113FASTLY
623.227.38.74Ottawa, Ontario, Canada
AS13335CLOUDFLARENET
6142.250.186.168United States
AS15169GOOGLE
9816--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16C157D5AC0FC4175936B4BA0FA906A20B57A9067F795C9B4B2DC876C0FE2C85D52F03E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:DLsXUU5wgvpCVOzletkEjj4ecMryLZMUB61ax3KfUijzXdBb8s:vsE4zcDj7cMeLhB61ax3EzXdBb8s

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:895139:BZ0GGWaABLE2QnFRtwMmifGhQRlQS4cYIAAGBQUQQMAAASEIkPDQCBohgJdg0jowKOAEikRKMAh7jTKUAJhCRQTAhl7XTFiD

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:00e7fff9ffc5c0ff
Perceptual Hash:fa05363a8d78951e
Difference Hash:710f931343adad29
Wavelet Hash:0081d9c8ffc1c1ff
Color Hash:#e06c8b

Scan History

Scan history not available

Unable to load historical scan data