Security Scan Report: www.comune.biancavilla.ct.it

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Submitted: Oct 3, 2025, 8:36:02 PMCompleted: Oct 3, 2025, 8:36:29 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 4 domains to perform 47 HTTP transactions. The main domain is comune.biancavilla.ct.it.

Submitted URL: https://www.comune.biancavilla.ct.it/it

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears to be a legitimate municipal website with no signs of phishing or malware.

Safety Factors
Official government domain structure
No malicious Indicators of Compromise
No phishing or malware indicators detected
Domain age information unavailable

Details

Page Title

Comune di Biancavilla

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(65%)

Screenshot

Security scan screenshot of https://www.comune.biancavilla.ct.it/it

Page Load Overview

8.07s
Total Load Time
47
HTTP Requests
4
Domains
3.0 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:6,110 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
65%
education learning
62%
entertainment media
33%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11188.166.57.74Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
634.120.51.25Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
634.120.160.141Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
634.120.66.199Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
6188.166.63.236United StatesUnknown
6165.232.93.253United StatesUnknown
6104.248.196.220United StatesUnknown
477--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15814D6219DF8D06E601380ECB6B8D70EDAE6E517C4496C5C76ED6A6C8F93DC68C1390E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:K4MXA6ZX/xAMCDFdWIPNkxZwzPJoGb807G:K4MXI1b807G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:200830:4EGBwEA8YxXEQYDKhUA0A8MEQ4EhBKmIBREnjIoMQoAX8UIge1IIoXA8oSKBAHsqAAGSGBAi2cKTAomBUIAqikMAhZqJbBCG

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:0000f3f3ffff0000
Perceptual Hash:ece41293696cecca
Difference Hash:ccc72323032e33b1
Wavelet Hash:0071f3f3ffff0000
Color Hash:#d28b2d

Scan History

Scan history not available

Unable to load historical scan data