Security Scan Report: www.comune.sulzano.bs.it

Submitted: Dec 7, 2025, 11:13:39 PMCompleted: Dec 7, 2025, 11:14:37 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 2 domains to perform 87 HTTP transactions. The main domain is comune.sulzano.bs.it.

Submitted URL: https://www.comune.sulzano.bs.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official municipal domain (comune.sulzano.bs.it)
Publicly available government information
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Home page | Comune di Sulzano

Scan Type

public

Language

🇮🇹

Italian

(52% confidence)

Category

government public service

(68%)

Domain Information

Within the Italian country-code top-level domain (.bs.it), 'www.comune.sulzano.bs.it' is registered; it also runs on subdomain 'www.comune'. The second-level label 'sulzano' is 7 characters long with 3 vowels and 4 consonants. It segments into three words: sulz, a, no. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.sulzano.bs.it/

Page Load Overview

33.73s
Total Load Time
87
HTTP Requests
2
Domains
10.3 MB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:52%
Script Type:Latin
HTML Lang Attribute:en
Text Length:6,063 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as it

Website Classification

Primary Category

government public service68% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
68%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2980.241.142.207Italy
AS12637SEEWEB s.r.l.
2935.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
2935.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
873--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FCC3A671D0F1313A059346F5A2AC9B59AEF5DA53D9020D59F2EE07880FD6F926E0332E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ummMmSmhKtfcVxMCMPMCMfMCM8MCMGMCM/MCMtMCMAsVMJIU02vi43bJ4lxmw3Ww:Td1JRnZCblqTzwrCZEnxHzNNa8C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:127974:gwYpByZ24S0APUkQgRIwFBOIHYBCURIpBWNQQBB1TRQRKDggCKwBCGQ6BDeBwKqNKjFdwJCSbAYmEkpMvMpbAF4SAABlQCAE

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:0000ffffe3c1e3ff
Perceptual Hash:ed161269929e2f96
Difference Hash:c4c6242013031328
Wavelet Hash:0000ffffc181c1ff
Color Hash:#3a7878

Scan History

Scan history not available

Unable to load historical scan data