Security Scan Report: www.comune.sannazzarovalcavargna.co.it

Submitted: Dec 15, 2025, 11:44:07 PMCompleted: Dec 15, 2025, 11:44:58 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 5 domains to perform 193 HTTP transactions. The main domain is comune.sannazzarovalcavargna.co.it.

Submitted URL: https://www.comune.sannazzarovalcavargna.co.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no detected threats.

Safety Factors
Official municipal domain structure
Absence of credential or payment collection forms
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Home page - Comune di San Nazzaro Val Cavargna

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

corporate

(70%)

Domain Information

Domain 'www.comune.sannazzarovalcavargna.co.it' uses the Italian country-code top-level domain (.co.it), featuring subdomain 'www.comune'. The second-level label 'sannazzarovalcavargna' is 21 characters long containing eight vowels alongside 13 consonants. Splitting it apart reveals seven words: san, naz, zar, oval, ca, varg, na. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.sannazzarovalcavargna.co.it/

Page Load Overview

9.49s
Total Load Time
193
HTTP Requests
5
Domains
2.2 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:13,640 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%
news/blog
40%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
31157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
27213.199.46.176Düsseldorf, North Rhine-Westphalia, Germany
AS51167Contabo GmbH
2735.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
27157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2735.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
272a03:2880:f084:105:face:b00c:0:3Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
272a03:2880:f177:185:face:b00c:0:25deFrankfurt am Main, Hesse, Germany
AS32934FACEBOOK
1937--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19F14A7B28A55A07A321F1AC4B918BF2DF353558ECF8364C4A7FC629887C6DD0B83591D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:yAb1G8bng5rEDaJOervcVBolPEjrSzL5bNK6y1664Pw/nBRWHf:yAb1GDBuoO6vCGF6rSzL5bNKR1664PwY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:193570:BIZBRAkcjROSIhploBAgICHnI2AQAwIsQAihMnNIgAwGUIgDDGKLFhhBAJUApQQE6AcsKRqgwgUMq4QTIholTEcw1gADQkVA

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:0000280038ffdfff
Perceptual Hash:ad43f4bc4b3ec241
Difference Hash:c3c4c9f1f3273723
Wavelet Hash:0000780838ffffff
Color Hash:#a687c5

Scan History

Scan history not available

Unable to load historical scan data