Security Scan Report: www.parcocollibergamo.it

Redirected to:
https://www.parcocollibergamo.it/ITA/Home.asp
Submitted: Jun 16, 2026, 11:37:21 PMCompleted: Jun 16, 2026, 11:38:40 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is parcocollibergamo.it and was registered NaN years ago.

Submitted URL: https://www.parcocollibergamo.it

Effective URL: https://www.parcocollibergamo.it/ITA/Home.aspRedirected

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

The site shows no malicious indicators, uses its own branding, and is a long‑standing public service domain.

Safety Factors
Established domain with long registration history
Absence of credential collection forms
No malicious code or network alerts
Self‑branding consistent with official public service
Unranked status not a strong signal without other evidence
Domain age information unavailable

Details

Page Title

Parco dei Colli Bergamo - Sito Ufficiale

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(77%)

Domain Information

You're looking at domain 'www.parcocollibergamo.it' on the Italian country-code top-level domain (.it) with subdomain 'www'. The registrable portion 'parcocollibergamo' spans 17 characters holding seven vowels versus ten consonants. It segments into four words: par, co, colli, bergamo. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.parcocollibergamo.it

Page Load Overview

11.10s
Total Load Time
80
HTTP Requests
3
Domains
9.7 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:8,283 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service77% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
77%
education learning
77%
adult content
63%
news media journalism
53%
documentation technical
45%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4035.190.122.106United States
AS396982Google LLC
40151.80.17.20Roubaix, Hauts-de-France, France
AS16276OVH SAS
802--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E7F3F821A9E9A0370267C0C5A5A06F7EBF76963BDA071D24B2EC67E45FC2CD24C1325D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3e+YaXfsP2rOGGJ2xngDPMY6npGGQoQrQoQOhQh7mvpKuBJMZ9ZmCTIHVBKd62r:3/3PW2Scg8pGnhQRm0uBJMZ9ZmCTIzKJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:161104:UEOIdAgmhAAUAGBQRAkmDGbBw8BMhmRDEAqgkOBNRQFYRIIICROPnBZYJASEwxiaIjyyTEDWBLGCEKkQRMgAaADAMAASRBjI

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:ffff000000007f7f
Perceptual Hash:8afcc1b4cbb43689
Difference Hash:2a951f1b7515cbc3
Wavelet Hash:ffff000000037f7f
Color Hash:#8a53ac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data