Security Scan Report: www.comune.roncobiellese.bi.it

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Submitted: Jan 13, 2026, 12:48:20 AMCompleted: Jan 13, 2026, 12:49:51 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 38 HTTP transactions. The main domain is comune.roncobiellese.bi.it.

Submitted URL: https://www.comune.roncobiellese.bi.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

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

Safety Factors
Official municipal domain (comune.roncobiellese.bi.it)
No credential or payment collection forms
No external links or redirects
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Comune di Ronco Biellese - Home Page

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

news media journalism

(50%)

Domain Information

The domain name 'www.comune.roncobiellese.bi.it' uses the Italian country-code top-level domain (.bi.it) and includes subdomain 'www.comune'. The core label 'roncobiellese' covers 13 characters containing 6 vowels alongside 7 consonants. Breaking it apart gives 2 words: ronco, biellese. Median word length is 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.roncobiellese.bi.it/

Page Load Overview

7.32s
Total Load Time
47
HTTP Requests
2
Domains
452 KB
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-IT
Text Length:5,996 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism50% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

news media journalism
50%
government public service
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24185.77.32.197Cuneo, Piedmont, Italy
AS44920Si.TEK Informatica Srl
2335.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
472--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16CC3E72446F9143B025342ECB9ACFB85B996FA1BD11A0694F3FF4B444FD7C849B12A2D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Q+OBkIg787CPreODyvDMECQnpP4BPWDmsG0OV8eDMgHmPBIR1bGp8uAl8W11oY9t:8OIHjk1L

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:124219:oIAlAJAmLGEoxQrAxUzcDREBhAhIEALINApt2JeYDFAIcgAKIJduQGEAqZMSIQpogbrU0AONDkARTwIIyBBGUIqFAAOpuIEi

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:0000000004ffffff
Perceptual Hash:9602adf453cbac2d
Difference Hash:c6ecb3c954247056
Wavelet Hash:0000003cacffffff
Color Hash:#d2b72d

Scan History

Scan history not available

Unable to load historical scan data