Security Scan Report: www.asp.pe.it

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Submitted: Jun 3, 2026, 6:30:46 AMCompleted: Jun 3, 2026, 6:31:56 AMpubliccompleted
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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 asp.pe.it and was registered NaN years ago.

Submitted URL: https://www.asp.pe.it

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears to be a legitimate government service with no phishing, malware, or scam indicators.

Safety Factors
Established domain age
Absence of credential/payment forms
No IoC or malware detections
Content classified as government public service
Domain age information unavailable

Details

Page Title

ASP Pescara – Azienda pubblica di servizi alla persona della provincia di Pescara

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

government public service

(82%)

Domain Information

You're looking at domain 'www.asp.pe.it' on the Italian country-code top-level domain (.pe.it) with subdomain 'www'. The registrable portion 'asp' spans 3 characters split between one vowel and 2 consonants. Splitting it apart reveals one word: asp. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.asp.pe.it

Page Load Overview

2.70s
Total Load Time
62
HTTP Requests
2
Domains
1.4 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-IT
Text Length:2,357 chars
Detector Agreement:80%

Website Classification

Primary Category

government public service82% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
82%
documentation technical
49%
news/blog
20%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3189.46.110.64Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
31172.67.142.245United States
AS13335Cloudflare, Inc.
622--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13BD3E7A2B1C140561167C27C70E6FB3AD92DE115CA061FB1F1BDB27C0FA9EE60667B09

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:tJG1P1NrapmxjOKt9Mzn6LLLLAKR3wUtS13TN+m:T7ExaKt9Mzn6LLLLNR3NtS13TN+m

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:142852:gUSBAApEhQkDFpBENlTBJMB7GHMjC6aWiKEIIQJNmQ4AAPghAiEVAJBAAyDkKFQBIBJCSEiiBkCJigAQiAAaBwwggGnoAkiA

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:000001031fffff00
Perceptual Hash:aa2754db2bb5181b
Difference Hash:c6d5ff1f73ab4a71
Wavelet Hash:001707037fffff00
Color Hash:#e06c96

Scan History

Scan history not available

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