Security Scan Report: www.sibillini.net

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Submitted: Dec 25, 2025, 3:05:49 PMCompleted: Dec 25, 2025, 3:06:34 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 64 HTTP transactions. The main domain is sibillini.net and was registered NaN years ago.

Submitted URL: https://www.sibillini.net/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns detected.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No credential or payment collection
Content appears to be a legitimate park website
Domain age information unavailable

Details

Page Title

Parco Nazionale dei Monti Sibillini | Magico per natura!

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(33%)

Domain Information

The domain 'www.sibillini.net' uses the network infrastructure generic top-level domain (.net), featuring subdomain 'www'. Count 9 characters in 'sibillini' split between 4 vowels and five consonants. Splitting it apart reveals 4 words: si, bill, in, i. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.sibillini.net/

Page Load Overview

32.58s
Total Load Time
52
HTTP Requests
1
Domains
1.1 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:831 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service33% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
33%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
52217.73.228.2Ponte San Pietro, Lombardy, Italy
AS31034Aruba S.p.A.
521--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T196C2962177F3092F860242B4E6F2AD899E3142438711E8087A9D5B969FCAF854C776FD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:QhhlX3lpLQYzi6kjSn5p0K2OoaCNZHcpp8yamrC0qPvtXw7MXXZXIdtZa4KeUj8L:QhjlxzihjS5bfy1XWgBEtBU4OOqjvU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26723:i4CywlnKGFNAACLG6XAW4AgTBAYgBYVlISAAjxA4FDAHJIiwAGkcECharkQbBQJMiREgCEAifAcABQyAoDAOjkBEjJPpLcCB

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:c3c3c3c3c3ffe7e7
Perceptual Hash:a46ccf38319b9a39
Difference Hash:96869696961e0e0e
Wavelet Hash:c2c2c3c3c3c7e3c3
Color Hash:#ac8053

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data