Security Scan Report: www.aspsirch.it

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Submitted: Oct 8, 2025, 2:21:11 AMCompleted: Oct 8, 2025, 2:22:05 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 2 domains to perform 48 HTTP transactions. The main domain is aspsirch.it.

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Official regional health institution website
No credential or payment collection forms
No malicious Indicators of Compromise matches
Content aligns with public sector information
Domain age information unavailable

Details

Page Title

A.S.P. "CASA DI RIPOSO GIUSEPPE SIRCH"

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(61%)

Domain Information

The domain 'www.aspsirch.it' uses the Italian country-code top-level domain (.it) with subdomain 'www'. Its registrable label 'aspsirch' stretches across 8 characters containing two vowels alongside 6 consonants. Tokenizing the label suggests 3 words: asp, sir, ch. The median word length lands at 3 characters. 'asap' most often appears in Chinese (Zhuyin). Secondary signals appear in Sinhala and Italian.

Screenshot

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

Page Load Overview

11.57s
Total Load Time
48
HTTP Requests
2
Domains
753 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
Text Length:2,876 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service61% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
61%
healthcare medical
56%
news/blog
30%

Detected Features

Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16193.43.177.235Italy
AS44831Insiel- Informatica per il sistema degli enti locali S.p.A
1635.152.38.193Milan, Lombardy, Italy
AS16509AMAZON-02
1635.152.40.99ItalyUnknown
483--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15414C55F9E9825F70333C03A23B999C4717C4C88F40AA5A5BD99974407EAAFD0D3EA17

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:HGMB70RLT/XLD3WfseMaRaF30KaFf0wEvEdEbE/aVcaF00raF20RaF20WaBaNaiX:HULTzrWuy1zZwCP8lVdAb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:196645:SHECEzjAacEAGMkBEsZAHCCcAAySdBJkImoBwpRQBpAYgqmAkhEckQIJPWAjDGZEACEFAACYBBHIAAZ0CNmGBRSTUQANgLJA

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:00ff3f29270fff80
Perceptual Hash:bb817c2463bb1897
Difference Hash:c4e9d4d5ddb53519
Wavelet Hash:007d3f29270fff80
Color Hash:#7853ac

Scan History

Scan history not available

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