Security Scan Report: www.comune.borgodanaunia.tn.it

Submitted: Jan 25, 2026, 12:24:23 AMCompleted: Jan 25, 2026, 12:25:35 AMpubliccompleted
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Summary

This website contacted 6 IPs in 4 countries across 6 domains to perform 50 HTTP transactions. The main domain is comune.borgodanaunia.tn.it.

Submitted URL: https://www.comune.borgodanaunia.tn.it/

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site shows no suspicious activity and appears to be a legitimate municipal website.

Safety Factors
No malicious Indicators of Compromise
No sensitive data collection forms
Consistent official branding in meta tags and page title
Domain not flagged in threat intelligence databases
Domain age information unavailable

Details

Page Title

Comune di Borgo d'Anaunia

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(97%)

Domain Information

Domain 'www.comune.borgodanaunia.tn.it' uses the Italian country-code top-level domain (.tn.it) and includes subdomain 'www.comune'. Its registrable label 'borgodanaunia' stretches across 13 characters containing seven vowels alongside six consonants. Breaking it apart gives 4 words: borgo, dana, uni, a. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.borgodanaunia.tn.it/

Page Load Overview

3.42s
Total Load Time
37
HTTP Requests
6
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:6,872 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service97% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
97%
blog personal website
73%
adult content
71%
social media network
52%
forum community discussion
48%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
799.81.25.153Dublin, Leinster, Ireland
AS16509AMAZON-02
6185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
635.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
663.35.34.67Dublin, Leinster, Ireland
AS16509AMAZON-02
6172.67.71.156United States
AS13335CLOUDFLARENET
6104.26.6.229United States
AS13335CLOUDFLARENET
376--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T180B3E8729665613B036352EDF16BE719F392610EE8E60251F7FC87880BD7ED0DA42A1C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:VdU4pEHC1DaWZhH3mS19sgxLskyIpz0c93mS19r7iuRpIun1uGoun1uGJJQorzA3:nuvvrTK0iO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:109082:BGEYFwFyZDwLAOSiSoGZIAoAGFKbQDKDAAMAhCEAnIYpjFoQsBCDLSENYgBJmFlNCekDwSIgAhriNCoB4lg4VQLJEZUOM0EU

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:0000f800ffffc3c3
Perceptual Hash:e81738b61779cec0
Difference Hash:c4cec248e0071313
Wavelet Hash:0000fe00ffffc3e3
Color Hash:#93211f

Scan History

Scan history not available

Unable to load historical scan data