Security Scan Report: www.comune.poggio-a-caiano.po.it

Submitted: Completed: publiccompleted
This website contacted 4 IPs in 2 countries across 5 domains to perform 134 HTTP transactions. The main domain is poggio-a-caiano.po.it.

Submitted URL: https://www.comune.poggio-a-caiano.po.it

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Legitimate municipal website with no malicious activity detected.

Safety Factors (5)
Government domain
Absence of malicious scripts or forms
No external malicious redirects
Clean metadata (no brand impersonation)
No cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Comune di Poggio a Caiano - Home Page

Scan Type

public

Domain Name Analysis

Domain 'www.comune.poggio-a-caiano.po.it' uses the Italian country-code top-level domain (.po.it) and includes subdomain 'www.comune'. Count 15 characters in 'poggio-a-caiano' containing eight vowels alongside five consonants, along with two hyphens. Breaking it apart gives 5 words: poggio, a, cai, 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.poggio-a-caiano.po.it

Page Load Overview

7.36s
Total Load Time
17.2 MB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:it
Text Length:6,024 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service63% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
63%
phishing scam
27%
healthcare medical
26%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
35213.171.168.249Frosinone, Lazio, Italy
AS12637SEEWEB s.r.l.
3335.152.40.99Milan, Lombardy, Italy
AS16509Amazon.com, Inc.
3335.152.38.193Milan, Lombardy, Italy
AS16509Amazon.com, Inc.
33146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1344--

Detected Technologies6

JQueryv1.12.4
100%
Bootstrapv3.3.6
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15CA394728ADC486E161E02D9E860774DB0AF8C3DDF635891F2FF31617BD2E84167924A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:0MRa+uHUPG8LputXuOBwhooFy0eqobuJYc/VI173gHqd1WJIxNnP5VOqkH4:0oa+uHUPGE4oFS5N

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:99293:AMAkSBljCcRhYSZAAhniZABNiC4IRZGaIhAKQ0ImeBAYAAWgsCCiAjCgcCB2AiALDkAcmWJkQECKCbSy7hCIwoZlAEQy9MlQ

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:0000c0c3c3efffff
Perceptual Hash:fc5212312d8d79cd
Difference Hash:ccad01263717212e
Wavelet Hash:0000c0c3c3cfffff
Color Hash:#43783a

Scan History

Scan history not available

Unable to load historical scan data