Security Scan Report: www.comunemornicolosana.pv.it

Submitted: Jan 18, 2026, 11:07:54 PMCompleted: Jan 18, 2026, 11:09:09 PMpubliccompleted
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Summary

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

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

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Well‑established domain (registered since 2006)
Official municipal subdomain (comunemornicolosana.pv.it)
No suspicious forms or data collection fields
No external links or redirects
Domain age information unavailable

Details

Page Title

Comune di Mornico Losana

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(90%)

Domain Information

Within the Italian country-code top-level domain (.pv.it), 'www.comunemornicolosana.pv.it' is registered and includes subdomain 'www'. The second-level label 'comunemornicolosana' is 19 characters long with 9 vowels and ten consonants. Segmentation suggests four words: comune, mor, nicolo, sana. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.26s
Total Load Time
27
HTTP Requests
1
Domains
1.3 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:4,248 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service90% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
90%
documentation technical
65%
government
40%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
27151.11.50.116Florence, Tuscany, Italy
AS24994genesys informatica srl
271--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DB8375206AF110770163829A7BAD9B1AAFD5E94FE5861154B6FD07844FFBC81DB03B0E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:1pBDTzARVEoX9u7F7Hjy/1E631338/MRR8uNENiNGNSNmNLNqmx1P:A9u7FTGdEusEzi8QogNLNqmx1P

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83491:qUZAgixTghECEgxCmgEA4CydnERkIIwwEB05TMIFgA0CLoQSCCDC8BEACORIEzMoANVDiZCJRRuNgCBYogAhDIw4hLQDAcRw

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:84257af304bdbce2
Difference Hash:cc4c33b6cc21c931
Wavelet Hash:00005913ffffff10
Color Hash:#97c587

Scan History

Scan history not available

Unable to load historical scan data