Security Scan Report: www.comunemornicolosana.pv.it

Redirected to:
https://www.comunemornicolosana.pv.it/it-it/home
Submitted: Jun 9, 2026, 12:51:58 AMCompleted: Jun 9, 2026, 12:53:07 AMpubliccompleted
Loading additional data...

Summary

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

Submitted URL: https://www.comunemornicolosana.pv.it

Effective URL: https://www.comunemornicolosana.pv.it/it-it/homeRedirected

AI Security Verdict

Safe Website

Confidence: 93%

1
Risk Score

The site appears to be a legitimate municipal website with no signs of phishing, malware, or other scams.

Safety Factors
Long‑standing domain registration
Government public service classification
Absence of malicious indicators
Meta tags correctly reflect the municipality brand
No external suspicious links
Domain age information unavailable

Details

Page Title

Comune di Mornico Losana

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(44%)

Domain Information

Within the Italian country-code top-level domain (.pv.it), 'www.comunemornicolosana.pv.it' is registered; it also runs on subdomain 'www'. The second-level label 'comunemornicolosana' is 19 characters long split between 9 vowels and ten consonants. It segments into four words: comune, mor, nicolo, sana. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comunemornicolosana.pv.it

Page Load Overview

1.34s
Total Load Time
25
HTTP Requests
1
Domains
1.4 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
Text Length:4,878 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service44% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
44%
government
40%
documentation technical
29%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25151.11.50.116Florence, Tuscany, Italy
AS24994genesys informatica srl
251--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F48385205AF11077016382DA7BB99B1AAF95EA4FE5861114B6FD07844FFBC81DB03A1F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:eJBDTzARVUIoX9RwF8EeHZiNEk3VM3T/MEMGNENiNGNSNmNLNqmx1cQ:0D9RwFpeHgNETDE6i8QogNLNqmx1x

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:88175:QXYQPCkWCnQoCACSSKBGEIBGHAQINIYChqsip9BetYKnSKRAApJgCjACmPKySwAUAcA0YJCEQjbEOXoSLBboVBgEJZFAjCAA

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:00000000ffffff00
Perceptual Hash:842d7ad704a9fcd2
Difference Hash:cc4c33b6ec2acc25
Wavelet Hash:00005913ffffff10
Color Hash:#862d6e

Scan History

Scan history not available

Unable to load historical scan data