Security Scan Report: www.comune.vignola-falesina.tn.it

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Submitted: Dec 29, 2025, 3:54:16 PMCompleted: Dec 29, 2025, 3:55:25 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 5 domains to perform 40 HTTP transactions. The main domain is comune.vignola-falesina.tn.it.

Submitted URL: https://www.comune.vignola-falesina.tn.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 government subdomain structure
No suspicious content or phishing indicators in OCR text
No external links to known malicious sites
Domain age information unavailable

Details

Page Title

Comune di Vignola Falesina

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(88%)

Domain Information

The domain name 'www.comune.vignola-falesina.tn.it' uses the Italian country-code top-level domain (.tn.it), featuring subdomain 'www.comune'. The registrable portion 'vignola-falesina' spans 16 characters containing 7 vowels alongside eight consonants; bonus characters include 1 hyphen. Splitting it apart reveals 6 words: vig, nola, fa, les, in, a. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.vignola-falesina.tn.it/

Page Load Overview

2.34s
Total Load Time
31
HTTP Requests
5
Domains
1.2 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:6,088 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service88% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
88%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6185.111.111.156Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
599.81.25.153Dublin, Leinster, Ireland
AS16509AMAZON-02
563.35.34.67Dublin, Leinster, Ireland
AS16509AMAZON-02
5104.26.6.229United States
AS13335CLOUDFLARENET
599.80.82.152Dublin, Leinster, Ireland
AS16509AMAZON-02
5104.26.7.229United States
AS13335CLOUDFLARENET
316--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E5A3E8319564623B036352DCF17BE719F3A2650DE8E60561EBFDC7880BE7DA0EA41A1C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:VdU4pEH0BDaWZhH3mS19sgxLskyIpz0c93mS19r7iuRpIun1uGoun1uGJJQorzAl:HDkVA70iO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:98392:lmzADFQRTsQgMVgoDwgAHAAdssBSAFIh4IKBFCUGYJUGoIeQTAYOQ4BgCiUUShkF3I0AsFYJBAmZCBCoKByKQUqxeAwQADgE

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:00007f0f73f1c1e3
Perceptual Hash:e8147b6f07b9cc81
Difference Hash:c69eb694c7031b03
Wavelet Hash:00007f0f73f3e3e3
Color Hash:#539aac

Scan History

Scan history not available

Unable to load historical scan data