Security Scan Report: www.parcosile.it

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Submitted: Oct 8, 2025, 5:23:42 PMCompleted: Oct 8, 2025, 5:24:25 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 2 domains to perform 37 HTTP transactions. The main domain is parcosile.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No suspicious forms or data collection
Consistent legitimate content
Domain age information unavailable

Details

Page Title

Parco Naturale Regionale del Fiume Sile

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(30%)

Domain Information

Domain 'www.parcosile.it' uses the Italian country-code top-level domain (.it) with subdomain 'www'. Its registrable label 'parcosile' stretches across 9 characters holding four vowels versus five consonants. It segments into three words: par, cosi, le. Average segment length settles at 3 characters. 'par' most often appears in French. You may catch it in Latvian and Italian as well.

Screenshot

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

Page Load Overview

15.74s
Total Load Time
37
HTTP Requests
2
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:5,568 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service30% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1335.152.40.99Milan, Lombardy, Italy
AS16509AMAZON-02
12213.209.215.154Ravenna, Emilia-Romagna, Italy
AS21309HERABIT S.p.A.
1235.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
373--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T111F26932C1882037432B59CCBE646F9EB1C7561DCA235E2957FD63D22BE7E299E1401B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:yw9NcfnPNe9X8wHPZgGFCyMIqyEDF0TuicIhc:yw9NcfFAZ7FCyMhRDF0Tz1hc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36035:DEKQWMAMFiCACHDCL6AYRBgAYifwghBE6LU+6BBM4iEchiK8ySLxDdYgaAEQgKFlPSBSENWIoBmEAYUAOSzIINKwhE9QMRA4

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:bf8f81818181c3ff
Perceptual Hash:be4bc13f91486c47
Difference Hash:715f27391f371f04
Wavelet Hash:bf8781818181c7ff
Color Hash:#78663a

Scan History

Scan history not available

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