Security Scan Report: www.comune.cancellara.pz.it

Redirected to: https://www.comune.cancellara.pz.it/sito/

Submitted: Jan 19, 2026, 10:20:55 PMCompleted: Jan 19, 2026, 10:22:06 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is comune.cancellara.pz.it.

Submitted URL: https://www.comune.cancellara.pz.it/

Effective URL: https://www.comune.cancellara.pz.it/sito/Redirected

AI Security Verdict

Moderate Risk

Confidence: 80%

5
Risk Score

Moderate risk due to unknown domain age; no malicious activity observed.

Risk Factors
Domain age unknown, cannot verify establishment
Domain is unranked in Cisco Umbrella, indicating low reputation
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise detected
No external links or redirects
Public municipal website (Comune di Cancellara) with official branding
Domain age information unavailable

Details

Page Title

Comune di Cancellara

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(85%)

Domain Information

The domain name 'www.comune.cancellara.pz.it' uses the Italian country-code top-level domain (.pz.it); it also runs on subdomain 'www.comune'. Its registrable label 'cancellara' stretches across 10 characters containing four vowels alongside six consonants. It segments into 3 words: can, cellar, a. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.comune.cancellara.pz.it/

Page Load Overview

1.35s
Total Load Time
39
HTTP Requests
3
Domains
920 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:7,097 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service85% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
85%
forum community discussion
78%
adult content
36%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3963.181.135.118Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
391--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16741F0EB19B2284CB32AA565B3D20F7867AE83174807CCB8F7D4119ADF815C5026379E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ukedCSfFXjJTz0SRSSXzK+0eJIPAACSjz4pe+rzPsgSaSiok9kCX:uBdjJfRIKzK+0eJGCSgeEzUNriq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2036:gBEAEAAAgBAQQAgAAAAMAIAAABAgIAAACAAAAAAAAAAYJhAABAgAIAIKIAAACAQBAACAAECAIAAiACIAAAAhIoAZAAIgAAAA

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:fffff7e7e7e7ffff
Perceptual Hash:e6e6999966668899
Difference Hash:00000c4d0c140000
Wavelet Hash:0f0f272703033f3f
Color Hash:#3a4878

Other Hashes

Crop Resistant:00000c4d0c140000

Scan History

Scan history not available

Unable to load historical scan data