Security Scan Report: www.opict.it

Submitted: Jan 10, 2026, 4:54:32 AMCompleted: Jan 10, 2026, 4:55:40 AMpubliccompleted
Loading additional data...

Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 1 HTTP transaction. The main domain is opict.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site of the Catania Nursing Professionals Order with no security concerns.

Safety Factors
Long‑standing domain registration
Absence of credential‑harvesting or payment collection forms
Official‑sounding organization name and purpose
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

OPI Catania | Ordine delle Professioni Infermieristiche di Catania

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

news/blog

(40%)

Domain Information

The domain name 'www.opict.it' uses the Italian country-code top-level domain (.it); it also runs on subdomain 'www'. The core label 'opict' covers 5 characters with 2 vowels and 3 consonants. Splitting it apart reveals two words: op, ict. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

13.18s
Total Load Time
144
HTTP Requests
4
Domains
3.7 MB
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-IT
Text Length:6,351 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
40%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
36151.101.193.229United States
3689.46.107.235Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
36142.250.184.202United States
AS15169GOOGLE
36142.250.186.163United States
AS15169GOOGLE
1444--

Detected Technologies13

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F254D70FD77E35B032438BD9F895E394D19DD163EA8308D9B9BEC5188BC36EA086605D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:1TwZ4k92LPfR3LmT8OBzQBNjoFFnNGD2PaRjPJYAybmsakVC6Biko2sUYiz8L8/H:1M4kaCFPC6UYv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:295330:0oAgiGNo04ZKAYkAVoNWCJOenAIoFPAMSIxEGhrANEhTQYESInhQIgkGARkJyEqkGDSQGRAAlKUQQBBDgCYFlQ8jAKwGLVgm

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:ff7f260000003fff
Perceptual Hash:83158e29f9b656e1
Difference Hash:64f0ec9893e16f03
Wavelet Hash:ff3f160000007fff
Color Hash:#931f6f

Scan History

Scan history not available

Unable to load historical scan data