Security Scan Report: www.comune.zollino.le.it

Submitted: Jan 12, 2026, 9:53:21 PMCompleted: Jan 12, 2026, 9:54:39 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 4 domains to perform 54 HTTP transactions. The main domain is comune.zollino.le.it.

Submitted URL: https://www.comune.zollino.le.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no apparent security threats.

Safety Factors
Official government subdomain
No suspicious forms or data collection
Unranked status is typical for local municipal sites
No external links to untrusted domains
Domain age information unavailable

Details

Page Title

Comune di Zollino - Homepage

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(87%)

Domain Information

Within the Italian country-code top-level domain (.le.it), 'www.comune.zollino.le.it' is registered with subdomain 'www.comune'. The second-level label 'zollino' is 7 characters long split between 3 vowels and four consonants. Tokenizing the label suggests three words: z, olli, no. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.zollino.le.it/

Page Load Overview

4.07s
Total Load Time
40
HTTP Requests
3
Domains
682 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
Text Length:6,797 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service87% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
87%
finance banking
47%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14142.251.140.170Italy
1352.212.255.61Dublin, Leinster, Ireland
AS16509AMAZON-02
1335.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
403--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T119D3841056F5107302D361AD7AAD9B59BF96BA0FA0861024BAFE07945FF7CC0870BB6D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:W9A1DPUw/7/xVU/1GBrxRQCELxPvBHyHNbfw9fdO/xUT85w5a5K5Z1fF+Dk5Ur6F:dDPUwXKV+Rfw9fsxCI4H1fF+DPrI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:135860:CBSALZoCIFogQfzQBRACFQECgqJCEpqEAAEJwcZxSChIBAgmo7gJAgCkxSCUxcEMgGCVARfmMJAoLFswBgAU4II6oAl1ACoi

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:0000f1f1f3ffffc3
Perceptual Hash:ee4a11136ccef8ca
Difference Hash:d6cd2327272a4e96
Wavelet Hash:0000d1f1f1afffc3
Color Hash:#1f937e

Scan History

Scan history not available

Unable to load historical scan data