Security Scan Report: www.comune.santilariodenza.re.it

Site favicon
Submitted: Jan 1, 2026, 7:25:06 AMCompleted: Jan 1, 2026, 7:26:30 AMpubliccompleted
Loading additional data...

Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 71 HTTP transactions. The main domain is comune.santilariodenza.re.it.

Submitted URL: https://www.comune.santilariodenza.re.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no detected security concerns.

Safety Factors
Official government subdomain
Absence of credential or payment collection forms
No malicious Indicators of Compromise
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Comune di Sant'Ilario d'Enza - Comune di Sant'Ilario d'Enza

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(70%)

Domain Information

Domain 'www.comune.santilariodenza.re.it' uses the Italian country-code top-level domain (.re.it) and includes subdomain 'www.comune'. Count 15 characters in 'santilariodenza' with seven vowels and eight consonants. Segmentation suggests four words: santi, lario, den, za. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.santilariodenza.re.it/

Page Load Overview

10.56s
Total Load Time
71
HTTP Requests
3
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:8,964 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service70% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
70%
entertainment media
26%
forum
25%

Detected Features

Comments
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25116.202.226.240Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
2395.110.140.168Ponte San Pietro, Lombardy, Italy
AS31034Aruba S.p.A.
2335.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
713--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CDB4FA3596547C7F0B6B5381BCFFBF09A5FDA00AD9C1DA51CAFD8A2C01D9E90487260A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:MQGYPhfSK1Ifgr1e+ZvaInVp3l+wdsaqdYhvAfJNIXZs0Rq6KJzoM5mIM5xDjoY7:ZwFddKfdxvxJ4Kf3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:538985:MSMwmQSmhmDAjgwAIFZwFBYWICJo0tSBEpAXAVApkZgBgOKCIkWiAAEQECEujCAQCA5yA1O0KGVGYBAJTC1Ugg0JEECoYik0

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:0000ffffbfffff8f
Perceptual Hash:be4361661ec3b0bc
Difference Hash:c6c5102925271b3f
Wavelet Hash:0000ffbf9f97010f
Color Hash:#b240bf

Scan History

Scan history not available

Unable to load historical scan data