Summary
This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is ordinefarmacistiud.it and was registered NaN years ago.
Submitted URL: https://ordinefarmacistiud.it/
AI Security Verdict
Safe Website
Confidence: 95%
No suspicious indicators detected; site appears legitimate.
Safety Factors
Details
Primary Scan Blocked — Fallback Capture Shown
The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.
Page Title
ordinefarmacistiud.it
Scan Type
public
Language
English
Category
adult content
(42%)Domain Information
The domain 'ordinefarmacistiud.it' uses the Italian country-code top-level domain (.it) without a subdomain. The second-level label 'ordinefarmacistiud' is 18 characters long holding eight vowels versus ten consonants. Segmentation suggests 6 words: or, dine, farm, a, cist, iud. Median word length comes out to 3.5 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 |
|---|---|---|---|
| 5 | 35.214.253.85 | Groningen, Groningen, Netherlands | AS15169Google LLC |
| 5 | 1 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
Unable to load historical scan data