Summary
This website contacted 14 IPs in 3 countries across 17 domains to perform 202 HTTP transactions. The main domain is wikiparfum.com and was registered NaN years ago.
Submitted URL: https://wikiparfum.com
Effective URL: https://www.wikiparfum.com/en/Redirected
AI Security Verdict
Safe Website
Confidence: 95%
Site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Perfume wiki and fragrance recommendations - Wikiparfum
Scan Type
public
Language
English
Category
adult content
(28%)Domain Information
The domain 'wikiparfum.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. Its registrable label 'wikiparfum' stretches across 10 characters with 4 vowels and 6 consonants. It segments into 3 words: wikip, arf, um. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 30 | 52.157.249.246 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 27 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 27 | 162.159.128.61 | United States | AS13335Cloudflare, Inc. |
| 27 | 18.245.86.22 | United States | AS16509Amazon.com, Inc. |
| 27 | 104.26.3.113 | United States | AS13335Cloudflare, Inc. |
| 27 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 27 | 104.26.10.249 | United States | AS13335Cloudflare, Inc. |
| 27 | 13.107.213.44 | United States | AS8075Microsoft Corporation |
| 27 | 51.195.5.58 | Limburg an der Lahn, Hesse, Germany | AS16276OVH SAS |
| 27 | 104.26.13.205 | United States | AS13335Cloudflare, Inc. |
| 381 | 14 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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