Security Scan Report: www.aspdoncavalletti.it

Submitted: Jan 24, 2026, 7:54:38 AMCompleted: Jan 24, 2026, 7:55:48 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is aspdoncavalletti.it and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no detected security threats.

Safety Factors
Well‑established domain (over 16 years old)
Absence of credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
No external links or redirects
Domain age information unavailable

Details

Page Title

ASP Don Cavalletti

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

adult content

(47%)

Domain Information

Domain 'www.aspdoncavalletti.it' uses the Italian country-code top-level domain (.it) with subdomain 'www'. Its registrable label 'aspdoncavalletti' stretches across 16 characters split between 6 vowels and 10 consonants. Tokenizing the label suggests six words: a, spd, on, cav, all, etti. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.81s
Total Load Time
86
HTTP Requests
1
Domains
680 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-IT
Text Length:3,464 chars
Detector Agreement:67%

Website Classification

Primary Category

adult content47% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
47%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
86148.251.133.154Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
861--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C7D3F725A48D6D2E415722C9E4A5E759B09FEE36C362D8E8B5FF8160B3C0CE43133A56

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:bX/nUyLu6ZrKsLkH3HlzXDeUli/GAdom+fDkeMuf1meOMAkM9kLHGFbSXY3P7Lnf:XLWzXCUd1mD6S9lNZtamwSOnUb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:140326:QlBASkDCIAQSFwhuIHBiIhLAkDR5NCAFUGEAMKlqX5DSWWIKUAj5DgSBwAxMHAA2DSAJOwQBkCGCApCAgEFAJCTA3IBB1FQo

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:ffff81008000ffff
Perceptual Hash:bab5c54b50842bf9
Difference Hash:c81e1b19191935b6
Wavelet Hash:ffff01000000ffdf
Color Hash:#d25e2d

Scan History

Scan history not available

Unable to load historical scan data