Security Scan Report: comune.solarussa.or.it

Submitted: Dec 15, 2025, 5:00:05 PMCompleted: Dec 15, 2025, 5:00:40 PMpubliccompleted
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Summary

This website contacted 42 IPs in 4 countries across 7 domains to perform 55 HTTP transactions. The main domain is comune.solarussa.or.it.

Submitted URL: https://comune.solarussa.or.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears to be a legitimate municipal website.

Safety Factors
Official municipal domain (comune.solarussa.or.it)
Content appears to be legitimate municipal information in Italian
No suspicious indicators such as phishing forms, payment fields, or malicious redirects
Domain age information unavailable

Details

Page Title

Comune di Solarussa | Comune di Solarussa

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(51%)

Domain Information

Domain 'comune.solarussa.or.it' uses the Italian country-code top-level domain (.or.it), featuring subdomain 'comune'. The second-level label 'solarussa' is 9 characters long holding 4 vowels versus five consonants. Breaking it apart gives three words: solar, uss, a. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://comune.solarussa.or.it/

Page Load Overview

6.62s
Total Load Time
55
HTTP Requests
7
Domains
11.3 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:4,972 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service51% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
51%
documentation technical
32%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1142.250.185.74United States
AS15169GOOGLE
1195.231.24.148Lurano, Lombardy, Italy
AS31034Aruba S.p.A.
1172.217.23.106United States
AS15169GOOGLE
1142.250.184.234United States
AS15169GOOGLE
1142.250.185.202United States
AS15169GOOGLE
1104.17.24.14United States
AS13335CLOUDFLARENET
1104.18.1.22United States
AS13335CLOUDFLARENET
1142.250.185.138United States
AS15169GOOGLE
1172.67.142.245United States
AS13335CLOUDFLARENET
1141.95.161.68France
AS16276OVH SAS
5542--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FE446D32A256202AB533C62A70E0ABECA53AE147E5530EFCF9ED77254FD7C914613B14

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Hs881rdu7mqujVHEiJ8YOabWGN9cIwUOae5bib80OFy214safyr2xzKbxgZBhiPv:M881ZHW46Ib2Fy2RaqqgmhqSvBW2Dq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:255696:AAmVRUmwCQ6LIlFiEQlKLAmGBIJzFIjAQmMRg2JQyGFIKIAwIEMRvRXCSSFMwVh0JAFkQyS1gogaDIOyYJIAFgGihEIKljmS

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:0000fbfbf3fbc3c3
Perceptual Hash:ec4331466cb2cfe8
Difference Hash:ccc3232327631617
Wavelet Hash:0000f9f3f3f3c3c3
Color Hash:#8c1f93

Scan History

Scan history not available

Unable to load historical scan data