Security Scan Report: www.farmacistipn.it

Redirected to:
https://www.farmacistipn.it/it/home
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Submitted: Jun 15, 2026, 8:18:35 PMCompleted: Jun 15, 2026, 8:19:43 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is farmacistipn.it and was registered NaN years ago.

Submitted URL: https://www.farmacistipn.it

Effective URL: https://www.farmacistipn.it/it/homeRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no malicious indicators, uses its own brand, and is well‑established; it is legitimate.

Safety Factors
Established domain with long registration history
Self‑branding without brand impersonation
No malicious scripts or network alerts
Domain age information unavailable

Details

Page Title

Ordine Farmacisti Pordenone

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

education learning

(45%)

Domain Information

The domain 'www.farmacistipn.it' uses the Italian country-code top-level domain (.it), featuring subdomain 'www'. The registrable portion 'farmacistipn' spans 12 characters holding four vowels versus 8 consonants. Breaking it apart gives four words: farm, a, cist, ipn. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.farmacistipn.it

Page Load Overview

1.05s
Total Load Time
22
HTTP Requests
1
Domains
565 KB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:it
Text Length:3,240 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning45% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

education learning
45%
healthcare medical
25%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22109.168.106.199Italy
AS5602Retelit Digital Services S.p.A.
221--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A5929322E69905330663979DA9F8FB0C90A74B35DB1B0E017ABF474D9F83E51AC36067

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:+6dkkyiukOjxNtmSDor7CARsb+I3HIFiTd8m+g7O:+zlDaIHIQBB+d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20633:QSGQSlppACywCZpGSAGVSlSgRCIYQwAQsAYGgB1UURJMAEKSGAHw0YJUTEHIpgQBEQCw6QKoaSJAoJWmiwBcQAIwiZACJhUB

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:ff0000d9dbdfdffb
Perceptual Hash:ec1296b0e9f9cc0e
Difference Hash:32686713333c3633
Wavelet Hash:ff0000c989cfdbf1
Color Hash:#291f93

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data